# Patent

## Title
Isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency of plants

## Abstract

Provided are isolated polypeptides which are at least 80% homologous to SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, isolated polynucleotides which are at least 80% identical to SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, nucleic acid constructs comprising same, transgenic cells expressing same, transgenic plants expressing same and method of using same for increasing yield, abiotic stress tolerance, growth rate, biomass, vigor, oil content, photosynthetic capacity, seed yield, fiber yield, fiber quality, fiber length, and/or nitrogen use efficiency of a plant.

## Background
RELATED APPLICATIONS
This application is a National Phase of PCT Patent Application No. PCT/IL2013/051042 having International filing date of Dec. 19, 2013, which claims the benefit of priority under 35 USC § 119(e) of U.S. Provisional Patent Application Nos. 61/811,757 filed on Apr. 14, 2013 and 61/745,784 filed on Dec. 25, 2012. The contents of the above applications are all incorporated by reference as if fully set forth herein in their entirety.


SEQUENCE LISTING STATEMENT
The ASCII file, entitled 62549SequenceListing.txt, created on Jun. 24, 2015, comprising 16,550,521 bytes, submitted concurrently with the filing of this application is incorporated herein by reference.
FIELD AND BACKGROUND OF THE INVENTION
The present invention, in some embodiments thereof, relates to novel polynucleotides and polypeptides which can increase nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed/grain yield, oil yield), growth rate, vigor, biomass, oil content, fiber yield, fiber quality and/or length, abiotic stress tolerance and/or water use efficiency of a plant.
A common approach to promote plant growth has been, and continues to be, the use of natural as well as synthetic nutrients (fertilizers). Thus, fertilizers are the fuel behind the “green revolution”, directly responsible for the exceptional increase in crop yields during the last 40 years, and are considered the number one overhead expense in agriculture. For example, inorganic nitrogenous fertilizers such as ammonium nitrate, potassium nitrate, or urea, typically accounts for 40% of the costs associated with crops such as corn and wheat.
Of the three macronutrients provided as main fertilizers [Nitrogen (N), Phosphate (P) and Potassium (K)], nitrogen is often the rate-limiting element in plant growth and all field crops have a fundamental dependence on inorganic nitrogenous fertilizer. Nitrogen is responsible for biosynthesis of amino and nucleic acids, prosthetic groups, plant hormones, plant chemical defenses, etc. and usually needs to be replenished every year, particularly for cereals, which comprise more than half of the cultivated areas worldwide. Thus, nitrogen is translocated to the shoot, where it is stored in the leaves and stalk during the rapid step of plant development and up until flowering. In corn for example, plants accumulate the bulk of their organic nitrogen during the period of grain germination, and until flowering. Once fertilization of the plant has occurred, grains begin to form and become the main sink of plant nitrogen. The stored nitrogen can be then redistributed from the leaves and stalk that served as storage compartments until grain formation.
Since fertilizer is rapidly depleted from most soil types, it must be supplied to growing crops two or three times during the growing season. In addition, the low nitrogen use efficiency (NUE) of the main crops (e.g., in the range of only 30-70%) negatively affects the input expenses for the farmer, due to the excess fertilizer applied. Moreover, the over and inefficient use of fertilizers are major factors responsible for environmental problems such as eutrophication of groundwater, lakes, rivers and seas, nitrate pollution in drinking water which can cause methemoglobinemia, phosphate pollution, atmospheric pollution and the like. However, in spite of the negative impact of fertilizers on the environment, and the limits on fertilizer use, which have been legislated in several countries, the use of fertilizers is expected to increase in order to support food and fiber production for rapid population growth on limited land resources. For example, it has been estimated that by 2050, more than 150 million tons of nitrogenous fertilizer will be used worldwide annually.
Increased use efficiency of nitrogen by plants should enable crops to be cultivated with lower fertilizer input, or alternatively to be cultivated on soils of poorer quality and would therefore have significant economic impact in both developed and developing agricultural systems.
Genetic improvement of fertilizer use efficiency (FUE) in plants can be generated either via traditional breeding or via genetic engineering.
Attempts to generate plants with increased FUE have been described in U.S. Pat. Appl. Publication No. 20020046419 (U.S. Pat. No. 7,262,055 to Choo, et al.); U.S. Pat. Appl. No. 20050108791 to Edgerton et al.; U.S. Pat. Appl. No. 20060179511 to Chomet et al.; Good, A, et al. 2007 (Engineering nitrogen use efficiency with alanine aminotransferase. Canadian Journal of Botany 85: 252-262); and Good A G et al. 2004 (Trends Plant Sci. 9:597-605).
Yanagisawa et al. (Proc. Natl. Acad. Sci. U.S.A. 2004 101:7833-8) describe Dofl transgenic plants which exhibit improved growth under low-nitrogen conditions.
U.S. Pat. No. 6,084,153 to Good et al. discloses the use of a stress responsive promoter to control the expression of Alanine Amine Transferase (AlaAT) and transgenic canola plants with improved drought and nitrogen deficiency tolerance when compared to control plants.
Yield is affected by various factors, such as, the number and size of the plant organs, plant architecture (for example, the number of branches), grains set length, number of filled grains, vigor (e.g. seedling), growth rate, root development, utilization of water, nutrients (e.g., nitrogen) and fertilizers, and stress tolerance.
Crops such as, corn, rice, wheat, canola and soybean account for over half of total human caloric intake, whether through direct consumption of the seeds themselves or through consumption of meat products raised on processed seeds or forage. Seeds are also a source of sugars, proteins and oils and metabolites used in industrial processes. The ability to increase plant yield, whether through increase dry matter accumulation rate, modifying cellulose or lignin composition, increase stalk strength, enlarge meristem size, change of plant branching pattern, erectness of leaves, increase in fertilization efficiency, enhanced seed dry matter accumulation rate, modification of seed development, enhanced seed filling or by increasing the content of oil, starch or protein in the seeds would have many applications in agricultural and non-agricultural uses such as in the biotechnological production of pharmaceuticals, antibodies or vaccines.
Vegetable or seed oils are the major source of energy and nutrition in human and animal diet. They are also used for the production of industrial products, such as paints, inks and lubricants. In addition, plant oils represent renewable sources of long-chain hydrocarbons which can be used as fuel. Since the currently used fossil fuels are finite resources and are gradually being depleted, fast growing biomass crops may be used as alternative fuels or for energy feedstocks and may reduce the dependence on fossil energy supplies. However, the major bottleneck for increasing consumption of plant oils as bio-fuel is the oil price, which is still higher than fossil fuel. In addition, the production rate of plant oil is limited by the availability of agricultural land and water. Thus, increasing plant oil yields from the same growing area can effectively overcome the shortage in production space and can decrease vegetable oil prices at the same time.
Studies aiming at increasing plant oil yields focus on the identification of genes involved in oil metabolism as well as in genes capable of increasing plant and seed yields in transgenic plants. Genes known to be involved in increasing plant oil yields include those participating in fatty acid synthesis or sequestering such as desaturase [e.g., DELTA6, DELTA12 or acyl-ACP (Ssi2; Arabidopsis Information Resource (TAIR; arabidopsis (dot) org/), TAIR No. AT2G43710)], OleosinA (TAIR No. AT3G01570) or FAD3 (TAIR No. AT2G29980), and various transcription factors and activators such as Led 1 [TAIR No. AT1G21970, Lotan et al. 1998. Cell. 26; 93(7):1195-205], Lec2 [TAIR No. AT1G28300, Santos Mendoza et al. 2005, FEBS Lett. 579(21):4666-701, Fus3 (TAIR No. AT3G26790), ABI3 [TAIR No. AT3G24650, Lara et al. 2003. J Biol Chem. 278(23): 21003-11] and Wri 1 [TAIR No. AT3G54320, Cernac and Benning, 2004. Plant J. 40(4): 575-85].
Genetic engineering efforts aiming at increasing oil content in plants (e.g., in seeds) include upregulating endoplasmic reticulum (FADS) and plastidal (FAD7) fatty acid desaturases in potato (Zabrouskov V., et al., 2002; Physiol Plant. 116:172-185); over-expressing the GmDof4 and GmDof11 transcription factors (Wang H W et al., 2007; Plant J. 52:716-29); over-expressing a yeast glycerol-3-phosphate dehydrogenase under the control of a seed-specific promoter (Vigeolas H, et al. 2007, Plant Biotechnol J. 5:431-41; U.S. Pat. Appl. No. 20060168684); using Arabidopsis FAE1 and yeast SLC1-1 genes for improvements in erucic acid and oil content in rapeseed (Katavic V, et al., 2000, Biochem Soc Trans. 28:935-7).
Various patent applications disclose genes and proteins which can increase oil content in plants. These include for example, U.S. Pat. Appl. No. 20080076179 (lipid metabolism protein); U.S. Pat. Appl. No. 20060206961 (the Ypr140w polypeptide); U.S. Pat. Appl. No. 20060174373 [triacylglycerols synthesis enhancing protein (TEP)]; U.S. Pat. Appl. Nos. 20070169219, 20070006345, 20070006346 and 20060195943 (disclose transgenic plants with improved nitrogen use efficiency which can be used for the conversion into fuel or chemical feedstocks); WO2008/122980 (polynucleotides for increasing oil content, growth rate, biomass, yield and/or vigor of a plant).
Abiotic stress (ABS; also referred to as “environmental stress”) conditions such as salinity, drought, flood, suboptimal temperature and toxic chemical pollution, cause substantial damage to agricultural plants. Most plants have evolved strategies to protect themselves against these conditions. However, if the severity and duration of the stress conditions are too great, the effects on plant development, growth and yield of most crop plants are profound. Furthermore, most of the crop plants are highly susceptible to abiotic stress and thus necessitate optimal growth conditions for commercial crop yields. Continuous exposure to stress causes major alterations in the plant metabolism which ultimately leads to cell death and consequently yield losses.
Drought is a gradual phenomenon, which involves periods of abnormally dry weather that persists long enough to produce serious hydrologic imbalances such as crop damage, water supply shortage and increased susceptibility to various diseases. In severe cases, drought can last many years and results in devastating effects on agriculture and water supplies. Furthermore, drought is associated with increase susceptibility to various diseases.
For most crop plants, the land regions of the world are too arid. In addition, overuse of available water results in increased loss of agriculturally-usable land (desertification), and increase of salt accumulation in soils adds to the loss of available water in soils.
Salinity, high salt levels, affects one in five hectares of irrigated land. None of the top five food crops, i.e., wheat, corn, rice, potatoes, and soybean, can tolerate excessive salt. Detrimental effects of salt on plants result from both water deficit, which leads to osmotic stress (similar to drought stress), and the effect of excess sodium ions on critical biochemical processes. As with freezing and drought, high salt causes water deficit; and the presence of high salt makes it difficult for plant roots to extract water from their environment. Soil salinity is thus one of the more important variables that determine whether a plant may thrive. In many parts of the world, sizable land areas are uncultivable due to naturally high soil salinity. Thus, salination of soils that are used for agricultural production is a significant and increasing problem in regions that rely heavily on agriculture, and is worsen by over-utilization, over-fertilization and water shortage, typically caused by climatic change and the demands of increasing population. Salt tolerance is of particular importance early in a plant's lifecycle, since evaporation from the soil surface causes upward water movement, and salt accumulates in the upper soil layer where the seeds are placed. On the other hand, germination normally takes place at a salt concentration which is higher than the mean salt level in the whole soil profile.
Salt and drought stress signal transduction consist of ionic and osmotic homeostasis signaling pathways. The ionic aspect of salt stress is signaled via the SOS pathway where a calcium-responsive SOS3-SOS2 protein kinase complex controls the expression and activity of ion transporters such as SOS1. The osmotic component of salt stress involves complex plant reactions that overlap with drought and/or cold stress responses.
Suboptimal temperatures affect plant growth and development through the whole plant life cycle. Thus, low temperatures reduce germination rate and high temperatures result in leaf necrosis. In addition, mature plants that are exposed to excess of heat may experience heat shock, which may arise in various organs, including leaves and particularly fruit, when transpiration is insufficient to overcome heat stress. Heat also damages cellular structures, including organelles and cytoskeleton, and impairs membrane function. Heat shock may produce a decrease in overall protein synthesis, accompanied by expression of heat shock proteins, e.g., chaperones, which are involved in refolding proteins denatured by heat. High-temperature damage to pollen almost always occurs in conjunction with drought stress, and rarely occurs under well-watered conditions. Combined stress can alter plant metabolism in novel ways. Excessive chilling conditions, e.g., low, but above freezing, temperatures affect crops of tropical origins, such as soybean, rice, maize, and cotton. Typical chilling damage includes wilting, necrosis, chlorosis or leakage of ions from cell membranes. The underlying mechanisms of chilling sensitivity are not completely understood yet, but probably involve the level of membrane saturation and other physiological deficiencies. Excessive light conditions, which occur under clear atmospheric conditions subsequent to cold late summer/autumn nights, can lead to photoinhibition of photosynthesis (disruption of photosynthesis). In addition, chilling may lead to yield losses and lower product quality through the delayed ripening of maize.
Common aspects of drought, cold and salt stress response [Reviewed in Xiong and Zhu (2002) Plant Cell Environ. 25: 131-139] include: (a) transient changes in the cytoplasmic calcium levels early in the signaling event; (b) signal transduction via mitogen-activated and/or calcium dependent protein kinases (CDPKs) and protein phosphatases; (c) increases in abscisic acid levels in response to stress triggering a subset of responses; (d) inositol phosphates as signal molecules (at least for a subset of the stress responsive transcriptional changes; (e) activation of phospholipases which in turn generates a diverse array of second messenger molecules, some of which might regulate the activity of stress responsive kinases; (f) induction of late embryogenesis abundant (LEA) type genes including the CRT/DRE responsive COR/RD genes; (g) increased levels of antioxidants and compatible osmolytes such as proline and soluble sugars; and (h) accumulation of reactive oxygen species such as superoxide, hydrogen peroxide, and hydroxyl radicals. Abscisic acid biosynthesis is regulated by osmotic stress at multiple steps. Both ABA-dependent and -independent osmotic stress signaling first modify constitutively expressed transcription factors, leading to the expression of early response transcriptional activators, which then activate downstream stress tolerance effector genes.
Several genes which increase tolerance to cold or salt stress can also improve drought stress protection, these include for example, the transcription factor AtCBF/DREB1, OsCDPK7 (Saijo et al. 2000, Plant J. 23: 319-327) or AVP1 (a vacuolar pyrophosphatase-proton pump, Gaxiola et al. 2001, Proc. Natl. Acad. Sci. USA 98: 11444-11449).
Studies have shown that plant adaptations to adverse environmental conditions are complex genetic traits with polygenic nature. Conventional means for crop and horticultural improvements utilize selective breeding techniques to identify plants having desirable characteristics. However, selective breeding is tedious, time consuming and has an unpredictable outcome. Furthermore, limited germplasm resources for yield improvement and incompatibility in crosses between distantly related plant species represent significant problems encountered in conventional breeding. Advances in genetic engineering have allowed mankind to modify the germplasm of plants by expression of genes-of-interest in plants. Such a technology has the capacity to generate crops or plants with improved economic, agronomic or horticultural traits.
Genetic engineering efforts, aimed at conferring abiotic stress tolerance to transgenic crops, have been described in various publications [Apse and Blumwald (Curr Opin Biotechnol. 13:146-150, 2002), Quesada et al. (Plant Physiol. 130:951-963, 2002), Holmström et al. (Nature 379: 683-684, 1996), Xu et al. (Plant Physiol 110: 249-257, 1996), Pilon-Smits and Ebskamp (Plant Physiol 107: 125-130, 1995) and Tarczynski et al. (Science 259: 508-510, 1993)].
Various patents and patent applications disclose genes and proteins which can be used for increasing tolerance of plants to abiotic stresses. These include for example, U.S. Pat. Nos. 5,296,462 and 5,356,816 (for increasing tolerance to cold stress); U.S. Pat. No. 6,670,528 (for increasing ABST); U.S. Pat. No. 6,720,477 (for increasing ABST); U.S. application Ser. Nos. 09/938,842 and 10/342,224 (for increasing ABST); U.S. application Ser. No. 10/231,035 (for increasing ABST); WO2004/104162 (for increasing ABST and biomass); WO2007/020638 (for increasing ABST, biomass, vigor and/or yield); WO2007/049275 (for increasing ABST, biomass, vigor and/or yield); WO2010/076756 (for increasing ABST, biomass and/or yield); WO2009/083958 (for increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and/or biomass); WO2010/020941 (for increasing nitrogen use efficiency, abiotic stress tolerance, yield and/or biomass); WO2009/141824 (for increasing plant utility); WO2010/049897 (for increasing plant yield).
Nutrient deficiencies cause adaptations of the root architecture, particularly notably for example is the root proliferation within nutrient rich patches to increase nutrient uptake. Nutrient deficiencies cause also the activation of plant metabolic pathways which maximize the absorption, assimilation and distribution processes such as by activating architectural changes. Engineering the expression of the triggered genes may cause the plant to exhibit the architectural changes and enhanced metabolism also under other conditions.
In addition, it is widely known that the plants usually respond to water deficiency by creating a deeper root system that allows access to moisture located in deeper soil layers. Triggering this effect will allow the plants to access nutrients and water located in deeper soil horizons particularly those readily dissolved in water like nitrates.
Cotton and cotton by-products provide raw materials that are used to produce a wealth of consumer-based products in addition to textiles including cotton foodstuffs, livestock feed, fertilizer and paper. The production, marketing, consumption and trade of cotton-based products generate an excess of $100 billion annually in the U.S. alone, making cotton the number one value-added crop.
Even though 90% of cotton's value as a crop resides in the fiber (lint), yield and fiber quality has declined due to general erosion in genetic diversity of cotton varieties, and an increased vulnerability of the crop to environmental conditions.
There are many varieties of cotton plant, from which cotton fibers with a range of characteristics can be obtained and used for various applications. Cotton fibers may be characterized according to a variety of properties, some of which are considered highly desirable within the textile industry for the production of increasingly high quality products and optimal exploitation of modern spinning technologies. Commercially desirable properties include length, length uniformity, fineness, maturity ratio, decreased fuzz fiber production, micronaire, bundle strength, and single fiber strength. Much effort has been put into the improvement of the characteristics of cotton fibers mainly focusing on fiber length and fiber fineness. In particular, there is a great demand for cotton fibers of specific lengths.
A cotton fiber is composed of a single cell that has differentiated from an epidermal cell of the seed coat, developing through four stages, i.e., initiation, elongation, secondary cell wall thickening and maturation stages. More specifically, the elongation of a cotton fiber commences in the epidermal cell of the ovule immediately following flowering, after which the cotton fiber rapidly elongates for approximately 21 days. Fiber elongation is then terminated, and a secondary cell wall is formed and grown through maturation to become a mature cotton fiber.
Several candidate genes which are associated with the elongation, formation, quality and yield of cotton fibers were disclosed in various patent applications such as U.S. Pat. No. 5,880,100 and U.S. patent application Ser. Nos. 08/580,545, 08/867,484 and 09/262,653 (describing genes involved in cotton fiber elongation stage); WO0245485 (improving fiber quality by modulating sucrose synthase); U.S. Pat. No. 6,472,588 and WO0117333 (increasing fiber quality by transformation with a DNA encoding sucrose phosphate synthase); WO9508914 (using a fiber-specific promoter and a coding sequence encoding cotton peroxidase); WO9626639 (using an ovary specific promoter sequence to express plant growth modifying hormones in cotton ovule tissue, for altering fiber quality characteristics such as fiber dimension and strength); U.S. Pat. No. 5,981,834, U.S. Pat. No. 5,597,718, U.S. Pat. No. 5,620,882, U.S. Pat. No. 5,521,708 and U.S. Pat. No. 5,495,070 (coding sequences to alter the fiber characteristics of transgenic fiber producing plants); U.S. patent applications U.S. 2002049999 and U.S. 2003074697 (expressing a gene coding for endoxyloglucan transferase, catalase or peroxidase for improving cotton fiber characteristics); WO 01/40250 (improving cotton fiber quality by modulating transcription factor gene expression); WO 96/40924 (a cotton fiber transcriptional initiation regulatory region associated which is expressed in cotton fiber); EP0834566 (a gene which controls the fiber formation mechanism in cotton plant); WO2005/121364 (improving cotton fiber quality by modulating gene expression); WO2008/075364 (improving fiber quality, yield/biomass/vigor and/or abiotic stress tolerance of plants).
WO publication No. 2004/104162 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.
WO publication No. 2004/111183 discloses nucleotide sequences for regulating gene expression in plant trichomes and constructs and methods utilizing same.
WO publication No. 2004/081173 discloses novel plant derived regulatory sequences and constructs and methods of using such sequences for directing expression of exogenous polynucleotide sequences in plants.
WO publication No. 2005/121364 discloses polynucleotides and polypeptides involved in plant fiber development and methods of using same for improving fiber quality, yield and/or biomass of a fiber producing plant.
WO publication No. 2007/049275 discloses isolated polypeptides, polynucleotides encoding same, transgenic plants expressing same and methods of using same for increasing fertilizer use efficiency, plant abiotic stress tolerance and biomass.
WO publication No. 2007/020638 discloses methods of increasing abiotic stress tolerance and/or biomass in plants and plants generated thereby.
WO publication No. 2008/122980 discloses genes constructs and methods for increasing oil content, growth rate and biomass of plants.
WO publication No. 2008/075364 discloses polynucleotides involved in plant fiber development and methods of using same.
WO publication No. 2009/083958 discloses methods of increasing water use efficiency, fertilizer use efficiency, biotic/abiotic stress tolerance, yield and biomass in plant and plants generated thereby.
WO publication No. 2009/141824 discloses isolated polynucleotides and methods using same for increasing plant utility.
WO publication No. 2009/013750 discloses genes, constructs and methods of increasing abiotic stress tolerance, biomass and/or yield in plants generated thereby.
WO publication No. 2010/020941 discloses methods of increasing nitrogen use efficiency, abiotic stress tolerance, yield and biomass in plants and plants generated thereby.
WO publication No. 2010/076756 discloses isolated polynucleotides for increasing abiotic stress tolerance, yield, biomass, growth rate, vigor, oil content, fiber yield, fiber quality, and/or nitrogen use efficiency of a plant.
WO2010/100595 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.
WO publication No. 2010/049897 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.
WO2010/143138 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency.
WO publication No. 2011/080674 discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.
WO2011/015985 publication discloses polynucleotides and polypeptides for increasing desirable plant qualities.
WO2011/135527 publication discloses isolated polynucleotides and polypeptides for increasing plant yield and/or agricultural characteristics.
WO2012/028993 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.
WO2012/085862 publication discloses isolated polynucleotides and polypeptides, and methods of using same for improving plant properties.
WO2012/150598 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.
WO2013/027223 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing plant yield and/or agricultural characteristics.
WO2013/080203 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing nitrogen use efficiency, yield, growth rate, vigor, biomass, oil content, and/or abiotic stress tolerance.
WO2013/098819 publication discloses isolated polynucleotides and polypeptides, and methods of using same for increasing yield of plants.
WO2013/128448 publication discloses isolated polynucleotides and polypeptides and methods of using same for increasing plant yield, biomass, growth rate, vigor, oil content, abiotic stress tolerance of plants and nitrogen use efficiency.
SUMMARY OF THE INVENTION
According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% identical to SEQ ID NO: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least 80% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein the crop plant is derived from plants selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance, thereby producing the crop.
According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to an aspect of some embodiments of the present invention there is provided a method of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062, thereby increasing the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide which comprises a nucleic acid sequence which is at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein the crop plant is derived from plants selected for increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased nitrogen use efficiency, increased yield, increased growth rate, increased biomass, increased vigor, increased oil content, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased abiotic stress tolerance, thereby producing the crop.
According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least 80% homologous to the amino acid sequence set forth in SEQ ID NO:202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892, or 6893, wherein the amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.
According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising a nucleic acid sequence at least 80% identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, wherein the nucleic acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.
According to an aspect of some embodiments of the present invention there is provided an isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
According to an aspect of some embodiments of the present invention there is provided a nucleic acid construct comprising the isolated polynucleotide of some embodiments of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.
According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising an amino acid sequence at least 80% homologous to SEQ ID NO: 202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892, or 6893, wherein the amino acid sequence is capable of increasing nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.
According to an aspect of some embodiments of the present invention there is provided an isolated polypeptide comprising the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, or the nucleic acid construct of some embodiments of the invention.
According to an aspect of some embodiments of the present invention there is provided a plant cell exogenously expressing the polypeptide of some embodiments of the invention.
According to an aspect of some embodiments of the present invention there is provided a transgenic plant comprising the nucleic acid construct of some embodiments of the invention or the plant cell of some embodiments of the invention.
According to an aspect of some embodiments of the present invention there is provided a method of growing a crop, the method comprising seeding seeds and/or planting plantlets of a plant transformed with the isolated polynucleotide of some embodiments of the invention, or with the nucleic acid construct of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of: increased nitrogen use efficiency, increased abiotic stress tolerance, increased biomass, increased growth rate, increased vigor, increased yield and increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and increased oil content as compared to a non-transformed plant, thereby growing the crop.
According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:
(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327 and 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893,
(b) selecting from the plants a plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
According to an aspect of some embodiments of the present invention there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:
(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least 80% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062,
(b) selecting from the plants a plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
thereby selecting the plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
According to some embodiments of the invention, the nucleic acid sequence encodes an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention, the nucleic acid sequence is selected from the group consisting of SEQ ID NOs:1-201 and 328-4062.
According to some embodiments of the invention, the polynucleotide consists of the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
According to some embodiments of the invention, the nucleic acid sequence encodes the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention, the plant cell forms part of a plant.
According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.
According to some embodiments of the invention, the abiotic stress is selected from the group consisting of salinity, drought, osmotic stress, water deprivation, flood, etiolation, low temperature, high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency, nitrogen deficiency, nutrient excess, atmospheric pollution and UV irradiation.
According to some embodiments of the invention, the yield comprises seed yield or oil yield.
According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under nitrogen-limiting conditions.
According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.
According to some embodiments of the invention, the isolated polynucleotide is heterologous to the plant cell.
According to some embodiments of the invention, the non-transformed plant is a wild type plant of identical genetic background.
According to some embodiments of the invention, the non-transformed plant is a wild type plant of the same species.
According to some embodiments of the invention, the non-transformed plant is grown under identical growth conditions.
According to some embodiments of the invention, the method further comprising selecting a plant having an increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.



BRIEF DESCRIPTION OF THE DRAWINGS
Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.
In the drawings:
FIG. 1 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 6918) and the GUSintron (pQYN_6669) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); GUSintron—the GUS reporter gene (coding sequence and intron). The isolated polynucleotide sequences of the invention were cloned into the vector while replacing the GUSintron reporter gene.
FIG. 2 is a schematic illustration of the modified pGI binary plasmid containing the new At6669 promoter (SEQ ID NO: 6918) (pQFN or pQFNc) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; MCS—Multiple cloning site; RE—any restriction enzyme; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences of the invention were cloned into the MCS of the vector.
FIGS. 3A-F are images depicting visualization of root development of transgenic plants exogenously expressing the polynucleotide of some embodiments of the invention when grown in transparent agar plates under normal (FIGS. 3A-B), osmotic stress (15% PEG; FIGS. 3C-D) or nitrogen-limiting (FIGS. 3E-F) conditions. The different transgenes were grown in transparent agar plates for 17 days (7 days nursery and 10 days after transplanting). The plates were photographed every 3-4 days starting at day 1 after transplanting. FIG. 3A—An image of a photograph of plants taken following 10 after transplanting days on agar plates when grown under normal (standard) conditions. FIG. 3B—An image of root analysis of the plants shown in FIG. 3A in which the lengths of the roots measured are represented by arrows. FIG. 3C—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under high osmotic (PEG 15%) conditions. FIG. 3D—An image of root analysis of the plants shown in FIG. 3C in which the lengths of the roots measured are represented by arrows. FIG. 3E—An image of a photograph of plants taken following 10 days after transplanting on agar plates, grown under low nitrogen conditions. FIG. 3F—An image of root analysis of the plants shown in FIG. 3E in which the lengths of the roots measured are represented by arrows.
FIG. 4 is a schematic illustration of the modified pGI binary plasmid containing the Root Promoter (pQNa_RP; SEQ ID NO: 6927) used for expressing the isolated polynucleotide sequences of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; Poly-A signal (polyadenylation signal); The isolated polynucleotide sequences according to some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.
FIG. 5 is a schematic illustration of the pQYN plasmid.
FIG. 6 is a schematic illustration of the pQFN plasmid.
FIG. 7 is a schematic illustration of the pQFYN plasmid.
FIG. 8 is a schematic illustration of pQXNc plasmid, which is a modified pGI binary plasmid used for expressing the isolated polynucleotide sequences of some embodiments of the invention. RB—T-DNA right border; LB—T-DNA left border; NOS pro=nopaline synthase promoter; NPT-II=neomycin phosphotransferase gene; NOS ter=nopaline synthase terminator; RE=any restriction enzyme; Poly-A signal (polyadenylation signal); 35S—the 35S promoter (pqfnc; SEQ ID NO: 6914). The isolated polynucleotide sequences of some embodiments of the invention were cloned into the MCS (Multiple cloning site) of the vector.
FIGS. 9A-B are schematic illustrations of the pEBbVNi tDNA (FIG. 9A) and the pEBbNi tDNA (FIG. 9B) plasmids used in the Brachypodium experiments. pEBbVNi tDNA (FIG. 9A) was used for expression of the isolated polynucleotide sequences of some embodiments of the invention in Brachypodium. pEBbNi tDNA (FIG. 9B) was used for transformation into Brachypodium as a negative control. “RB”=right border; “2LBregion”=2 repeats of left border; “35S”=35S promoter (SEQ ID NO:6930); “NOS ter”=nopaline synthase terminator; “Bar ORF”—BAR open reading frame (GenBank Accession No. JQ293091.1; SEQ ID NO:7121); The isolated polynucleotide sequences of some embodiments of the invention were cloned into the Multiple cloning site of the vector using one or more of the indicated restriction enzyme sites.



DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION
The present invention, in some embodiments thereof, relates to novel polynucleotides and polypeptides, nucleic acid constructs comprising same, host cells (e.g., plant cells) expressing same, transgenic plants exogenously expressing same and, more particularly, but not exclusively, to methods of using same for increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant such as a wheat plant.
Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways.
The present inventors have identified novel polypeptides and polynucleotides which can be used to generate nucleic acid constructs, transgenic plants and to increase nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant, such as a wheat plant.
Thus, as shown in the Examples section which follows, the present inventors have utilized bioinformatics tools to identify polynucleotides which enhance yield (e.g., seed yield, oil yield, oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, photosynthetic capacity, nitrogen use efficiency, fertilizer use efficiency and/or abiotic stress tolerance of a plant. Genes which affect the trait-of-interest were identified (SEQ ID NOs: 202-327 for polypeptides; and SEQ ID NOs: 1-201 for polynucleotides) based on expression profiles of genes of several Arabidopsis, Barley, Sorghum, Maize, Brachypodium, Foxtail Millet and Wheat ecotypes and accessions in various tissues and growth conditions, homology with genes known to affect the trait-of-interest and using digital expression profile in specific tissues and conditions (Tables 1 and 3-74, Examples 1 and 3-13 of the Examples section which follows). Homologous (e.g., orthologous) polypeptides and polynucleotides having the same function were also identified (SEQ ID NOs: 4064-6893 for polypeptides, and SEQ ID NOs: 328-4062 for polynucleotides; Table 2, Example 2 of the Examples section which follows). The polynucleotides of some embodiments of the invention were cloned into binary vectors (Example 14, Table 75), and were further transformed into Arabidopsis and Brachypodium plants (Examples 15-17). Transgenic plants over-expressing the identified polynucleotides were found to exhibit increased biomass, growth rate, yield under normal conditions and under nitrogen limiting conditions, thus demonstrating increased nitrogen use efficiency of a plant (Tables 76-105; Examples 18-22 of the Examples section which follows), and increased tolerance to abiotic stress conditions (e.g., nutrient deficiency) as compared to control plants grown under the same growth conditions. Altogether, these results suggest the use of the novel polynucleotides and polypeptides of the invention [e.g., SEQ ID NOs: 202-327 and 4064-6893 (polypeptides) and SEQ ID NOs: 1-201 and 328-4062 (polynucleotides)] for increasing nitrogen use efficiency, fertilizer use efficiency, water use efficiency, abiotic stress tolerance, yield (e.g., oil yield, seed yield and oil content), growth rate, biomass, vigor, fiber yield, fiber quality, fiber length, and/or photosynthetic capacity of a plant.
Thus, according to an aspect of some embodiments of the invention, there is provided method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
As used herein the phrase “plant yield” refers to the amount (e.g., as determined by weight or size) or quantity (numbers) of tissues or organs produced per plant or per growing season. Hence increased yield could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time.
It should be noted that a plant yield can be affected by various parameters including, but not limited to, plant biomass; plant vigor; growth rate; seed yield; seed or grain quantity; seed or grain quality; oil yield; content of oil, starch and/or protein in harvested organs (e.g., seeds or vegetative parts of the plant); number of flowers (florets) per panicle (expressed as a ratio of number of filled seeds over number of primary panicles); harvest index; number of plants grown per area; number and size of harvested organs per plant and per area; number of plants per growing area (density); number of harvested organs in field; total leaf area; carbon assimilation and carbon partitioning (the distribution/allocation of carbon within the plant); resistance to shade; number of harvestable organs (e.g. seeds), seeds per pod, weight per seed; and modified architecture [such as increase stalk diameter, thickness or improvement of physical properties (e.g. elasticity)].
As used herein the phrase “seed yield” refers to the number or weight of the seeds per plant, seeds per pod, or per growing area or to the weight of a single seed, or to the oil extracted per seed. Hence seed yield can be affected by seed dimensions (e.g., length, width, perimeter, area and/or volume), number of (filled) seeds and seed filling rate and by seed oil content. Hence increase seed yield per plant could affect the economic benefit one can obtain from the plant in a certain growing area and/or growing time; and increase seed yield per growing area could be achieved by increasing seed yield per plant, and/or by increasing number of plants grown on the same given area.
The term “seed” (also referred to as “grain” or “kernel”) as used herein refers to a small embryonic plant enclosed in a covering called the seed coat (usually with some stored food), the product of the ripened ovule of gymnosperm and angiosperm plants which occurs after fertilization and some growth within the mother plant.
The phrase “oil content” as used herein refers to the amount of lipids in a given plant organ, either the seeds (seed oil content) or the vegetative portion of the plant (vegetative oil content) and is typically expressed as percentage of dry weight (10% humidity of seeds) or wet weight (for vegetative portion).
It should be noted that oil content is affected by intrinsic oil production of a tissue (e.g., seed, vegetative portion), as well as the mass or size of the oil-producing tissue per plant or per growth period.
In one embodiment, increase in oil content of the plant can be achieved by increasing the size/mass of a plant's tissue(s) which comprise oil per growth period. Thus, increased oil content of a plant can be achieved by increasing the yield, growth rate, biomass and vigor of the plant.
As used herein the phrase “plant biomass” refers to the amount (e.g., measured in grams of air-dry tissue) of a tissue produced from the plant in a growing season, which could also determine or affect the plant yield or the yield per growing area. An increase in plant biomass can be in the whole plant or in parts thereof such as aboveground (harvestable) parts, vegetative biomass, roots and seeds.
As used herein the phrase “growth rate” refers to the increase in plant organ/tissue size per time (can be measured in cm2 per day or cm/day).
As used herein the phrase “photosynthetic capacity” (also known as “Amax”) is a measure of the maximum rate at which leaves are able to fix carbon during photosynthesis. It is typically measured as the amount of carbon dioxide that is fixed per square meter per second, for example as μmol m−2 sec−1. Plants are able to increase their photosynthetic capacity by several modes of action, such as by increasing the total leaves area (e.g., by increase of leaves area, increase in the number of leaves, and increase in plant's vigor, e.g., the ability of the plant to grow new leaves along time course) as well as by increasing the ability of the plant to efficiently execute carbon fixation in the leaves. Hence, the increase in total leaves area can be used as a reliable measurement parameter for photosynthetic capacity increment.
As used herein the phrase “plant vigor” refers to the amount (measured by weight) of tissue produced by the plant in a given time. Hence increased vigor could determine or affect the plant yield or the yield per growing time or growing area. In addition, early vigor (seed and/or seedling) results in improved field stand.
Improving early vigor is an important objective of modern rice breeding programs in both temperate and tropical rice cultivars. Long roots are important for proper soil anchorage in water-seeded rice. Where rice is sown directly into flooded fields, and where plants must emerge rapidly through water, longer shoots are associated with vigour. Where drill-seeding is practiced, longer mesocotyls and coleoptiles are important for good seedling emergence. The ability to engineer early vigor into plants would be of great importance in agriculture. For example, poor early vigor has been a limitation to the introduction of maize (Zea mays L.) hybrids based on Corn Belt germplasm in the European Atlantic.
It should be noted that a plant yield can be determined under stress (e.g., abiotic stress, nitrogen-limiting conditions) and/or non-stress (normal) conditions.
As used herein, the phrase “non-stress conditions” refers to the growth conditions (e.g., water, temperature, light-dark cycles, humidity, salt concentration, fertilizer concentration in soil, nutrient supply such as nitrogen, phosphorous and/or potassium), that do not significantly go beyond the everyday climatic and other abiotic conditions that plants may encounter, and which allow optimal growth, metabolism, reproduction and/or viability of a plant at any stage in its life cycle (e.g., in a crop plant from seed to a mature plant and back to seed again). Persons skilled in the art are aware of normal soil conditions and climatic conditions for a given plant in a given geographic location. It should be noted that while the non-stress conditions may include some mild variations from the optimal conditions (which vary from one type/species of a plant to another), such variations do not cause the plant to cease growing without the capacity to resume growth.
The phrase “abiotic stress” as used herein refers to any adverse effect on metabolism, growth, reproduction and/or viability of a plant. Accordingly, abiotic stress can be induced by suboptimal environmental growth conditions such as, for example, salinity, osmotic stress, water deprivation, drought, flooding, freezing, low or high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or limited nitrogen), atmospheric pollution or UV irradiation. The implications of abiotic stress are discussed in the Background section.
The phrase “abiotic stress tolerance” as used herein refers to the ability of a plant to endure an abiotic stress without suffering a substantial alteration in metabolism, growth, productivity and/or viability.
Plants are subject to a range of environmental challenges. Several of these, including salt stress, general osmotic stress, drought stress and freezing stress, have the ability to impact whole plant and cellular water availability. Not surprisingly, then, plant responses to this collection of stresses are related. Zhu (2002) Ann Rev. Plant Biol. 53: 247-273 et al. note that “most studies on water stress signaling have focused on salt stress primarily because plant responses to salt and drought are closely related and the mechanisms overlap”. Many examples of similar responses and pathways to this set of stresses have been documented. For example, the CBF transcription factors have been shown to condition resistance to salt, freezing and drought (Kasuga et al. (1999) Nature Biotech. 17: 287-291). The Arabidopsis rd29B gene is induced in response to both salt and dehydration stress, a process that is mediated largely through an ABA signal transduction process (Uno et al. (2000) Proc. Natl. Acad. Sci. USA 97: 11632-11637), resulting in altered activity of transcription factors that bind to an upstream element within the rd29B promoter. In Mesembryanthemum crystallinum (ice plant), Patharker and Cushman have shown that a calcium-dependent protein kinase (McCDPK1) is induced by exposure to both drought and salt stresses (Patharker and Cushman (2000) Plant J. 24: 679-691). The stress-induced kinase was also shown to phosphorylate a transcription factor, presumably altering its activity, although transcript levels of the target transcription factor are not altered in response to salt or drought stress. Similarly, Saijo et al. demonstrated that a rice salt/drought-induced calmodulin-dependent protein kinase (OsCDPK7) conferred increased salt and drought tolerance to rice when overexpressed (Saijo et al. (2000) Plant J. 23: 319-327).
Exposure to dehydration invokes similar survival strategies in plants as does freezing stress (see, for example, Yelenosky (1989) Plant Physiol 89: 444-451) and drought stress induces freezing tolerance (see, for example, Siminovitch et al. (1982) Plant Physiol 69: 250-255; and Guy et al. (1992) Planta 188: 265-270). In addition to the induction of cold-acclimation proteins, strategies that allow plants to survive in low water conditions may include, for example, reduced surface area, or surface oil or wax production. In another example increased solute content of the plant prevents evaporation and water loss due to heat, drought, salinity, osmoticum, and the like therefore providing a better plant tolerance to the above stresses.
It will be appreciated that some pathways involved in resistance to one stress (as described above), will also be involved in resistance to other stresses, regulated by the same or homologous genes. Of course, the overall resistance pathways are related, not identical, and therefore not all genes controlling resistance to one stress will control resistance to the other stresses. Nonetheless, if a gene conditions resistance to one of these stresses, it would be apparent to one skilled in the art to test for resistance to these related stresses. Methods of assessing stress resistance are further provided in the Examples section which follows.
As used herein the phrase “water use efficiency (WUE)” refers to the level of organic matter produced per unit of water consumed by the plant, i.e., the dry weight of a plant in relation to the plant's water use, e.g., the biomass produced per unit transpiration.
As used herein the phrase “fertilizer use efficiency” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per fertilizer unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of one or more of the minerals and organic moieties absorbed by the plant, such as nitrogen, phosphates and/or potassium.
As used herein the phrase “fertilizer-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of a fertilizer applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.
As used herein the phrase “nitrogen use efficiency (NUE)” refers to the metabolic process(es) which lead to an increase in the plant's yield, biomass, vigor, and growth rate per nitrogen unit applied. The metabolic process can be the uptake, spread, absorbent, accumulation, relocation (within the plant) and use of nitrogen absorbed by the plant.
As used herein the phrase “nitrogen-limiting conditions” refers to growth conditions which include a level (e.g., concentration) of nitrogen (e.g., ammonium or nitrate) applied which is below the level needed for normal plant metabolism, growth, reproduction and/or viability.
Improved plant NUE and FUE is translated in the field into either harvesting similar quantities of yield, while implementing less fertilizers, or increased yields gained by implementing the same levels of fertilizers. Thus, improved NUE or FUE has a direct effect on plant yield in the field. Thus, the polynucleotides and polypeptides of some embodiments of the invention positively affect plant yield, seed yield, and plant biomass. In addition, the benefit of improved plant NUE will certainly improve crop quality and biochemical constituents of the seed such as protein yield and oil yield.
It should be noted that improved ABST will confer plants with improved vigor also under non-stress conditions, resulting in crops having improved biomass and/or yield e.g., elongated fibers for the cotton industry, higher oil content.
The term “fiber” is usually inclusive of thick-walled conducting cells such as vessels and tracheids and to fibrillar aggregates of many individual fiber cells. Hence, the term “fiber” refers to (a) thick-walled conducting and non-conducting cells of the xylem; (b) fibers of extraxylary origin, including those from phloem, bark, ground tissue, and epidermis; and (c) fibers from stems, leaves, roots, seeds, and flowers or inflorescences (such as those of Sorghum vulgare used in the manufacture of brushes and brooms).
Example of fiber producing plants, include, but are not limited to, agricultural crops such as cotton, silk cotton tree (Kapok, Ceiba pentandra), desert willow, creosote bush, winterfat, balsa, kenaf, rosette, jute, sisal abaca, flax, corn, sugar cane, hemp, ramie, kapok, coir, bamboo, spanish moss and Agave spp. (e.g. sisal).
As used herein the phrase “fiber quality” refers to at least one fiber parameter which is agriculturally desired, or required in the fiber industry (further described hereinbelow). Examples of such parameters, include but are not limited to, fiber length, fiber strength, fiber fitness, fiber weight per unit length, maturity ratio and uniformity (further described hereinbelow).
Cotton fiber (lint) quality is typically measured according to fiber length, strength and fineness. Accordingly, the lint quality is considered higher when the fiber is longer, stronger and finer.
As used herein the phrase “fiber yield” refers to the amount or quantity of fibers produced from the fiber producing plant.
As used herein the term “increasing” refers to at least about 2%, at least about 3%, at least about 4%, at least about 5%, at least about 10%, at least about 15%, at least about 20%, at least about 30%, at least about 40%, at least about 50%, at least about 60%, at least about 70%, at least about 80%, increase in fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant as compared to a native plant or a wild type plant [i.e., a plant not modified with the biomolecules (polynucleotide or polypeptides) of the invention, e.g., a non-transformed plant of the same species which is grown under the same (e.g., identical) growth conditions].
The phrase “expressing within the plant an exogenous polynucleotide” as used herein refers to upregulating the expression level of an exogenous polynucleotide within the plant by introducing the exogenous polynucleotide into a plant cell or plant and expressing by recombinant means, as further described herein below.
As used herein “expressing” refers to expression at the mRNA and optionally polypeptide level.
As used herein, the phrase “exogenous polynucleotide” refers to a heterologous nucleic acid sequence which may not be naturally expressed within the plant (e.g., a nucleic acid sequence from a different species) or which overexpression in the plant is desired. The exogenous polynucleotide may be introduced into the plant in a stable or transient manner, so as to produce a ribonucleic acid (RNA) molecule and/or a polypeptide molecule. It should be noted that the exogenous polynucleotide may comprise a nucleic acid sequence which is identical or partially homologous to an endogenous nucleic acid sequence of the plant.
The term “endogenous” as used herein refers to any polynucleotide or polypeptide which is present and/or naturally expressed within a plant or a cell thereof.
According to some embodiments of the invention, the exogenous polynucleotide of the invention comprises a nucleic acid sequence encoding a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.
Homologous sequences include both orthologous and paralogous sequences. The term “paralogous” relates to gene-duplications within the genome of a species leading to paralogous genes. The term “orthologous” relates to homologous genes in different organisms due to ancestral relationship. Thus, orthologs are evolutionary counterparts derived from a single ancestral gene in the last common ancestor of given two species (Koonin E V and Gaiperin M Y (Sequence—Evolution—Function: Computational Approaches in Comparative Genomics. Boston: Kluwer Academic; 2003. Chapter 2, Evolutionary Concept in Genetics and Genomics. Available from: ncbi (dot) nlm (dot) nih (dot) gov/books/NBK20255) and therefore have great likelihood of having the same function.
One option to identify orthologues in monocot plant species is by performing a reciprocal blast search. This may be done by a first blast involving blasting the sequence-of-interest against any sequence database, such as the publicly available NCBI database which may be found at: ncbi (dot) nlm (dot) nih (dot) gov. If orthologues in rice were sought, the sequence-of-interest would be blasted against, for example, the 28,469 full-length cDNA clones from Oryza sativa Nipponbare available at NCBI. The blast results may be filtered. The full-length sequences of either the filtered results or the non-filtered results are then blasted back (second blast) against the sequences of the organism from which the sequence-of-interest is derived. The results of the first and second blasts are then compared. An orthologue is identified when the sequence resulting in the highest score (best hit) in the first blast identifies in the second blast the query sequence (the original sequence-of-interest) as the best hit. Using the same rational a paralogue (homolog to a gene in the same organism) is found. In case of large sequence families, the ClustalW program may be used [ebi (dot) ac (dot) uk/Tools/clustalw2/index (dot) html], followed by a neighbor-joining tree (wikipedia (dot) org/wiki/Neighbor-joining) which helps visualizing the clustering.
Homology (e.g., percent homology, sequence identity+sequence similarity) can be determined using any homology comparison software computing a pairwise sequence alignment.
As used herein, “sequence identity” or “identity” in the context of two nucleic acid or polypeptide sequences includes reference to the residues in the two sequences which are the same when aligned. When percentage of sequence identity is used in reference to proteins it is recognized that residue positions which are not identical often differ by conservative amino acid substitutions, where amino acid residues are substituted for other amino acid residues with similar chemical properties (e.g. charge or hydrophobicity) and therefore do not change the functional properties of the molecule. Where sequences differ in conservative substitutions, the percent sequence identity may be adjusted upwards to correct for the conservative nature of the substitution. Sequences which differ by such conservative substitutions are said to have “sequence similarity” or “similarity”. Means for making this adjustment are well-known to those of skill in the art. Typically this involves scoring a conservative substitution as a partial rather than a full mismatch, thereby increasing the percentage sequence identity. Thus, for example, where an identical amino acid is given a score of 1 and a non-conservative substitution is given a score of zero, a conservative substitution is given a score between zero and 1. The scoring of conservative substitutions is calculated, e.g., according to the algorithm of Henikoff S and Henikoff J G. [Amino acid substitution matrices from protein blocks. Proc. Natl. Acad. Sci. U.S.A. 1992, 89(22): 10915-9].
Identity (e.g., percent homology) can be determined using any homology comparison software, including for example, the BlastN software of the National Center of Biotechnology Information (NCBI) such as by using default parameters.
According to some embodiments of the invention, the identity is a global identity, i.e., an identity over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.
According to some embodiments of the invention, the term “homology” or “homologous” refers to identity of two or more nucleic acid sequences; or identity of two or more amino acid sequences; or the identity of an amino acid sequence to one or more nucleic acid sequence.
According to some embodiments of the invention, the homology is a global homology, i.e., an homology over the entire amino acid or nucleic acid sequences of the invention and not over portions thereof.
The degree of homology or identity between two or more sequences can be determined using various known sequence comparison tools. Following is a non-limiting description of such tools which can be used along with some embodiments of the invention.
Pairwise global alignment was defined by S. B. Needleman and C. D. Wunsch, “A general method applicable to the search of similarities in the amino acid sequence of two proteins” Journal of Molecular Biology, 1970, pages 443-53, volume 48).
For example, when starting from a polypeptide sequence and comparing to other polypeptide sequences, the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used to find the optimum alignment (including gaps) of two sequences along their entire length—a “Global alignment”. Default parameters for Needleman-Wunsch algorithm (EMBOSS-6.0.1) include: gapopen=10; gapextend=0.5; datafile=EBLOSUM62; brief=YES.
According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 tool (for protein-protein comparison) include: gapopen=8; gapextend=2; datafile=EBLOSUM62; brief=YES.
According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.
When starting from a polypeptide sequence and comparing to polynucleotide sequences, the OneModel FramePlus algorithm [Halperin, E., Faigler, S. and Gill-More, R. (1999)—FramePlus: aligning DNA to protein sequences. Bioinformatics, 15, 867-873) (available from biocceleration(dot)com/Products(dot)html] can be used with following default parameters: model=frame+_p2n.model mode=local.
According to some embodiments of the invention, the parameters used with the OneModel FramePlus algorithm are model=frame+_p2n.model, mode=qglobal.
According to some embodiments of the invention, the threshold used to determine homology using the OneModel FramePlus algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.
When starting with a polynucleotide sequence and comparing to other polynucleotide sequences the EMBOSS-6.0.1 Needleman-Wunsch algorithm (available from emboss(dot)sourceforge(dot)net/apps/cvs/emboss/apps/needle(dot)html) can be used with the following default parameters: (EMBOSS-6.0.1) gapopen=10; gapextend=0.5; datafile=EDNAFULL; brief=YES.
According to some embodiments of the invention, the parameters used with the EMBOSS-6.0.1 Needleman-Wunsch algorithm are gapopen=10; gapextend=0.2; datafile=EDNAFULL; brief=YES.
According to some embodiments of the invention, the threshold used to determine homology using the EMBOSS-6.0.1 Needleman-Wunsch algorithm for comparison of polynucleotides with polynucleotides is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.
According to some embodiment, determination of the degree of homology further requires employing the Smith-Waterman algorithm (for protein-protein comparison or nucleotide-nucleotide comparison).
Default parameters for GenCore 6.0 Smith-Waterman algorithm include: model=sw.model.
According to some embodiments of the invention, the threshold used to determine homology using the Smith-Waterman algorithm is 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, or 100%.
According to some embodiments of the invention, the global homology is performed on sequences which are pre-selected by local homology to the polypeptide or polynucleotide of interest (e.g., 60% identity over 60% of the sequence length), prior to performing the global homology to the polypeptide or polynucleotide of interest (e.g., 80% global homology on the entire sequence). For example, homologous sequences are selected using the BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) is defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. In this specific embodiment (when the local identity is used), the default filtering of the Blast package is not utilized (by setting the parameter “−F F”).
In the second stage, homologs are defined based on a global identity of at least 80% to the core gene polypeptide sequence.
According to some embodiments of the invention, two distinct forms for finding the optimal global alignment for protein or nucleotide sequences are used:
I. Between Two Proteins (Following the Blastp Filter):
EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters are unchanged from the default options listed here:
Standard (Mandatory) Qualifiers:
[-asequence] sequence Sequence filename and optional format, or reference (input USA)
[-bsequence] seqall Sequence(s) filename and optional format, or reference (input USA)
-gapopen float [10.0 for any sequence]. The gap open penalty is the score taken away when a gap is created. The best value depends on the choice of comparison matrix. The default value assumes you are using the EBLOSUM62 matrix for protein sequences, and the EDNAFULL matrix for nucleotide sequences. (Floating point number from 1.0 to 100.0)
-gapextend float [0.5 for any sequence]. The gap extension, penalty is added to the standard gap penalty for each base or residue in the gap. This is how long gaps are penalized. Usually you will expect a few long gaps rather than many short gaps, so the gap extension penalty should be lower than the gap penalty. An exception is where one or both sequences are single reads with possible sequencing errors in which case you would expect many single base gaps. You can get this result by setting the gap open penalty to zero (or very low) and using the gap extension penalty to control gap scoring. (Floating point number from 0.0 to 10.0)
[-outfile] align [*.needle] Output alignment file name
Additional (Optional) Qualifiers:
-datafile matrixf [EBLOSUM62 for protein, EDNAFULL for DNA]. This is the scoring matrix file used when comparing sequences. By default it is the file ‘EBLOSUM62’ (for proteins) or the file ‘EDNAFULL’ (for nucleic sequences). These files are found in the ‘data’ directory of the EMBOSS installation.
Advanced (Unprompted) Qualifiers:

    
    
        -[no] brief boolean [Y] Brief identity and similarity
    
    


Associated Qualifiers:

    
    
        “-asequence” Associated Qualifiers
        -sbegin1 integer Start of the sequence to be used
        -send1 integer End of the sequence to be used
        -sreverse1 boolean Reverse (if DNA)
        -sask1 boolean Ask for begin/end/reverse
        -snucleotide1 boolean Sequence is nucleotide
        -sprotein1 boolean Sequence is protein
        -slower1 boolean Make lower case
        -supper1 boolean Make upper case
        -sformat1 string Input sequence format
        -sdbname1 string Database name
        -sid1 string Entryname
        -ufo1 string UFO features
        -fformat1 string Features format
        -fopenfile1 string Features file name
    
    


“-bsequence” Associated Qualifiers

    
    
        -sbegin2 integer Start of each sequence to be used
        -send2 integer End of each sequence to be used
        -sreverse2 boolean Reverse (if DNA)
        -sask2 boolean Ask for begin/end/reverse
        -snucleotide2 boolean Sequence is nucleotide
        -sprotein2 boolean Sequence is protein
        -slower2 boolean Make lower case
        -supper2 boolean Make upper case
        -sformat2 string Input sequence format
        -sdbname2 string Database name
        -sid2 string Entryname
        -ufo2 string UFO features
        -fformat2 string Features format
        -fopenfile2 string Features file name
    
    


“-outfile” Associated Qualifiers

    
    
        -aformat3 string Alignment format
        -aextension3 string File name extension
        -adirectory3 string Output directory
        -aname3 string Base file name
        -awidth3 integer Alignment width
        -aaccshow3 boolean Show accession number in the header
        -adesshow3 boolean Show description in the header
        -ausashow3 boolean Show the full USA in the alignment
        -aglobal3 boolean Show the full sequence in alignment
    
    


General Qualifiers:

    
    
        -auto boolean Turn off prompts
        -stdout boolean Write first file to standard output
        -filter boolean Read first file from standard input, write
        first file to standard output
        -options boolean Prompt for standard and additional values
        -debug boolean Write debug output to program.dbg
        -verbose boolean Report some/full command line options
        -help boolean Report command line options. More information on associated and general qualifiers can be found with -help -verbose
        -warning boolean Report warnings
        -error boolean Report errors
        -fatal boolean Report fatal errors
        -die boolean Report dying program messages
    
    


2. Between a Protein Sequence and a Nucleotide Sequence (Following the tblastn Filter):
GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal-q=protein.sequence -db=nucleotide.sequence. The rest of the parameters are unchanged from the default options:
Usage:
om -model=<model_fname>[-q=]query [-db=]database [options]-model=<model_fname> Specifies the model that you want to run. All models supplied by Compugen are located in the directory $CGNROOT/models/.
Valid command line parameters:
-dev=<dev_name> Selects the device to be used by the application.


    
    
        Valid devices are:
        bic—Bioccelerator (valid for SW, XSW, FRAME_N2P, and FRAME_P2N models).
        xlg—BioXL/G (valid for all models except XSW).
        xlp—BioXL/P (valid for SW, FRAME+_N2P, and FRAME_P2N models).
        xlh—BioXL/H (valid for SW, FRAME+_N2P, and FRAME_P2N models).
        soft—Software device (for all models).

-q=<query> Defines the query set. The query can be a sequence file or a database reference. You can specify a query by its name or by accession number. The format is detected automatically. However, you may specify a format using the -qfmt parameter. If you do not specify a query, the program prompts for one. If the query set is a database reference, an output file is produced for each sequence in the query.

-db=<database name> Chooses the database set. The database set can be a sequence file or a database reference. The database format is detected automatically. However, you may specify a format using -dfmt parameter.

-qacc Add this parameter to the command line if you specify query using accession numbers.

-dacc Add this parameter to the command line if you specify a database using accession numbers.

-dfmt/-qfmt=<format_type> Chooses the database/query format type. Possible formats are:

        fasta—fasta with seq type auto-detected.
        fastap—fasta protein seq.
        fastan—fasta nucleic seq.
        gcg—gcg format, type is auto-detected.
        gcg9seq—gcg9 format, type is auto-detected.
        gcg9seqp—gcg9 format protein seq.
        gcg9seqn—gcg9 format nucleic seq.
        nbrf—nbrf seq, type is auto-detected.
        nbrfp—nbrf protein seq.
        nbrfn—nbrf nucleic seq.
        embl—embl and swissprot format.
        genbank—genbank format (nucleic).
        blast—blast format.
        nbrf_gcg—nbrf-gcg seq, type is auto-detected.
        nbrf_gcgp—nbrf-gcg protein seq.
        nbrf_gcgn—nbrf-gcg nucleic seq.
        raw—raw ascii sequence, type is auto-detected.
        rawp—raw ascii protein sequence.
        rawn—raw ascii nucleic sequence.
        pir—pir codata format, type is auto-detected.
        profile—gcg profile (valid only for -qfmt in SW, XSW, FRAME_P2N, and FRAME+_P2N).

-out=<out_fname> The name of the output file.

-suffix=<name> The output file name suffix.

-gapop=<n> Gap open penalty. This parameter is not valid for FRAME+. For FrameSearch the default is 12.0. For other searches the default is 10.0.

-gapext=<n> Gap extend penalty. This parameter is not valid for FRAME+. For FrameSearch the default is 4.0. For other models: the default for protein searches is 0.05, and the default for nucleic searches is 1.0.

-qgapop=<n> The penalty for opening a gap in the query sequence. The default is 10.0. Valid for XSW.

-qgapext=<n> The penalty for extending a gap in the query sequence. The default is 0.05. Valid for XSW.

-start=<n> The position in the query sequence to begin the search.

-end=<n> The position in the query sequence to stop the search.

-qtrans Performs a translated search, relevant for a nucleic query against a protein database. The nucleic query is translated to six reading frames and a result is given for each frame.

    
    


Valid for SW and XSW.
-dtrans Performs a translated search, relevant for a protein query against a DNA database. Each database entry is translated to six reading frames and a result is given for each frame.
Valid for SW and XSW.
Note: “-qtrans” and “-dtrans” options are mutually exclusive.
-matrix=<matrix_file> Specifies the comparison matrix to be used in the search. The matrix must be in the BLAST format. If the matrix file is not located in $CGNROOT/tables/matrix, specify the full path as the value of the -matrix parameter.
-trans=<transtab_name> Translation table. The default location for the table is $CGNROOT/tables/trans.
-onestrand Restricts the search to just the top strand of the query/database nucleic sequence.
-list=<n> The maximum size of the output hit list. The default is 50.
-docalign=<n> The number of documentation lines preceding each alignment. The default is 10.
-thr_score=<score_name> The score that places limits on the display of results. Scores that are smaller than -thr_min value or larger than -thr_max value are not shown. Valid options are: quality.


    
    
        zscore.
        escore.

-thr_max=<n> The score upper threshold. Results that are larger than -thr_max value are not shown.

-thr_min=<n> The score lower threshold. Results that are lower than -thr_min value are not shown.

-align=<n> The number of alignments reported in the output file.

-noalign Do not display alignment.

Note: “-align” and “-noalign” parameters are mutually exclusive.

-outfmt=<format_name> Specifies the output format type. The default format is PFS.

Possible values are:

        PFS—PFS text format
        FASTA—FASTA text format
        BLAST—BLAST text format

-nonorm Do not perform score normalization.

-norm=<norm_name> Specifies the normalization method. Valid options are:

        log—logarithm normalization.
        std—standard normalization.
        stat—Pearson statistical method.

Note: “-nonorm” and “-norm” parameters cannot be used together.

Note: Parameters -xgapop, -xgapext, -fgapop, -fgapext, -ygapop, -ygapext, -delop, and -delext apply only to FRAME+.

-xgapop=<n> The penalty for opening a gap when inserting a codon (triplet). The default is 12.0.

-xgapext=<n> The penalty for extending a gap when inserting a codon (triplet). The default is 4.0.

-ygapop=<n> The penalty for opening a gap when deleting an amino acid. The default is 12.0.

-ygapext=<n> The penalty for extending a gap when deleting an amino acid. The default is 4.0.

-fgapop=<n> The penalty for opening a gap when inserting a DNA base. The default is 6.0.

-fgapext=<n> The penalty for extending a gap when inserting a DNA base. The default is 7.0.

-delop=<n> The penalty for opening a gap when deleting a DNA base. The default is 6.0.

    
    


-delext=<n> The penalty for extending a gap when deleting a DNA base. The default is 7.0.
-silent No screen output is produced.
-host=<host_name> The name of the host on which the server runs. By default, the application uses the host specified in the file $CGNROOT/cgnhosts.
-wait Do not go to the background when the device is busy. This option is not relevant for the Parseq or Soft pseudo device.
-batch Run the job in the background. When this option is specified, the file “$CGNROOT/defaults/batch.defaults” is used for choosing the batch command. If this file does not exist, the command “at now” is used to run the job.
Note:“-batch” and “-wait” parameters are mutually exclusive.
-version Prints the software version number.
-help Displays this help message. To get more specific help type:


    
    
        “om -model=<model_fname>-help”.
    
    


According to some embodiments the homology is a local homology or a local identity.
Local alignments tools include, but are not limited to the BlastP, BlastN, BlastX or TBLASTN software of the National Center of Biotechnology Information (NCBI), FASTA, and the Smith-Waterman algorithm.
A tblastn search allows the comparison between a protein sequence to the six-frame translations of a nucleotide database. It can be a very productive way of finding homologous protein coding regions in unannotated nucleotide sequences such as expressed sequence tags (ESTs) and draft genome records (HTG), located in the BLAST databases est and htgs, respectively.
Default parameters for blastp include: Max target sequences: 100; Expected threshold: e−5; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.
Local alignments tools, which can be used include, but are not limited to, the tBLASTX algorithm, which compares the six-frame conceptual translation products of a nucleotide query sequence (both strands) against a protein sequence database. Default parameters include: Max target sequences: 100; Expected threshold: 10; Word size: 3; Max matches in a query range: 0; Scoring parameters: Matrix—BLOSUM62; filters and masking: Filter—low complexity regions.
According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.
According to some embodiments of the invention, the exogenous polynucleotide of the invention encodes a polypeptide having the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention, the method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.
According to an aspect of some embodiments of the invention, the method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, is effected by expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to an aspect of some embodiments of the invention, there is provided a method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide consisting of the amino acid sequence set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.
According to some embodiments of the invention the exogenous polynucleotide comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.
According to an aspect of some embodiments of the invention, there is provided a method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant, comprising expressing within the plant an exogenous polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, thereby increasing the fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the plant.
According to some embodiments of the invention the exogenous polynucleotide is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.
According to some embodiments of the invention the exogenous polynucleotide is set forth by SEQ ID NO: 1-201, 328-4061 or 4062.
According to some embodiments of the invention the exogenous polynucleotide is set forth by the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
According to some embodiments of the invention the method of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant further comprising selecting a plant having an increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
It should be noted that selecting a transformed plant having an increased trait as compared to a native (or non-transformed) plant grown under the same growth conditions is performed by selecting for the trait, e.g., validating the ability of the transformed plant to exhibit the increased trait using well known assays (e.g., seedling analyses, greenhouse assays) as is further described herein below.
According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:
(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (e.g., having sequence similarity or sequence identity) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893,
(b) selecting from the plants a plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance,
thereby selecting the plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
According to some embodiments of the invention the amino acid sequence is selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to an aspect of some embodiments of the invention, there is provided a method of selecting a transformed plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to a wild type plant of the same species which is grown under the same growth conditions, the method comprising:
(a) providing plants transformed with an exogenous polynucleotide encoding a polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062,
(b) selecting from the plants a plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance (e.g., by selecting the plants for the increased trait),
thereby selecting the plant having increased fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance as compared to the wild type plant of the same species which is grown under the same growth conditions.
As used herein the term “polynucleotide” refers to a single or double stranded nucleic acid sequence which is isolated and provided in the form of an RNA sequence, a complementary polynucleotide sequence (cDNA), a genomic polynucleotide sequence and/or a composite polynucleotide sequences (e.g., a combination of the above).
The term “isolated” refers to at least partially separated from the natural environment e.g., from a plant cell.
As used herein the phrase “complementary polynucleotide sequence” refers to a sequence, which results from reverse transcription of messenger RNA using a reverse transcriptase or any other RNA dependent DNA polymerase. Such a sequence can be subsequently amplified in vivo or in vitro using a DNA dependent DNA polymerase.
As used herein the phrase “genomic polynucleotide sequence” refers to a sequence derived (isolated) from a chromosome and thus it represents a contiguous portion of a chromosome.
As used herein the phrase “composite polynucleotide sequence” refers to a sequence, which is at least partially complementary and at least partially genomic. A composite sequence can include some exonal sequences required to encode the polypeptide of the present invention, as well as some intronic sequences interposing therebetween. The intronic sequences can be of any source, including of other genes, and typically will include conserved splicing signal sequences. Such intronic sequences may further include cis acting expression regulatory elements.
Nucleic acid sequences encoding the polypeptides of the present invention may be optimized for expression. Examples of such sequence modifications include, but are not limited to, an altered G/C content to more closely approach that typically found in the plant species of interest, and the removal of codons atypically found in the plant species commonly referred to as codon optimization.
The phrase “codon optimization” refers to the selection of appropriate DNA nucleotides for use within a structural gene or fragment thereof that approaches codon usage within the plant of interest. Therefore, an optimized gene or nucleic acid sequence refers to a gene in which the nucleotide sequence of a native or naturally occurring gene has been modified in order to utilize statistically-preferred or statistically-favored codons within the plant. The nucleotide sequence typically is examined at the DNA level and the coding region optimized for expression in the plant species determined using any suitable procedure, for example as described in Sardana et al. (1996, Plant Cell Reports 15:677-681). In this method, the standard deviation of codon usage, a measure of codon usage bias, may be calculated by first finding the squared proportional deviation of usage of each codon of the native gene relative to that of highly expressed plant genes, followed by a calculation of the average squared deviation. The formula used is: 1 SDCU=n=1 N [(Xn−Yn)/Yn]2/N, where Xn refers to the frequency of usage of codon n in highly expressed plant genes, where Yn to the frequency of usage of codon n in the gene of interest and N refers to the total number of codons in the gene of interest. A Table of codon usage from highly expressed genes of dicotyledonous plants is compiled using the data of Murray et al. (1989, Nuc Acids Res. 17:477-498).
One method of optimizing the nucleic acid sequence in accordance with the preferred codon usage for a particular plant cell type is based on the direct use, without performing any extra statistical calculations, of codon optimization Tables such as those provided on-line at the Codon Usage Database through the NIAS (National Institute of Agrobiological Sciences) DNA bank in Japan (kazusa (dot) or (dot) jp/codon/). The Codon Usage Database contains codon usage tables for a number of different species, with each codon usage Table having been statistically determined based on the data present in Genbank.
By using the above Tables to determine the most preferred or most favored codons for each amino acid in a particular species (for example, rice), a naturally-occurring nucleotide sequence encoding a protein of interest can be codon optimized for that particular plant species. This is effected by replacing codons that may have a low statistical incidence in the particular species genome with corresponding codons, in regard to an amino acid, that are statistically more favored. However, one or more less-favored codons may be selected to delete existing restriction sites, to create new ones at potentially useful junctions (5′ and 3′ ends to add signal peptide or termination cassettes, internal sites that might be used to cut and splice segments together to produce a correct full-length sequence), or to eliminate nucleotide sequences that may negatively effect mRNA stability or expression.
The naturally-occurring encoding nucleotide sequence may already, in advance of any modification, contain a number of codons that correspond to a statistically-favored codon in a particular plant species. Therefore, codon optimization of the native nucleotide sequence may comprise determining which codons, within the native nucleotide sequence, are not statistically-favored with regards to a particular plant, and modifying these codons in accordance with a codon usage table of the particular plant to produce a codon optimized derivative. A modified nucleotide sequence may be fully or partially optimized for plant codon usage provided that the protein encoded by the modified nucleotide sequence is produced at a level higher than the protein encoded by the corresponding naturally occurring or native gene. Construction of synthetic genes by altering the codon usage is described in for example PCT Patent Application 93/07278.
According to some embodiments of the invention, the exogenous polynucleotide is a non-coding RNA.
As used herein the phrase ‘non-coding RNA” refers to an RNA molecule which does not encode an amino acid sequence (a polypeptide). Examples of such non-coding RNA molecules include, but are not limited to, an antisense RNA, a pre-miRNA (precursor of a microRNA), or a precursor of a Piwi-interacting RNA (piRNA).
Non-limiting examples of non-coding RNA polynucleotides are provided in SEQ ID NOs: 1929, 2601, 2900, 3004, 3937, and 4002.
Thus, the invention encompasses nucleic acid sequences described hereinabove; fragments thereof, sequences hybridizable therewith, sequences homologous thereto, sequences encoding similar polypeptides with different codon usage, altered sequences characterized by mutations, such as deletion, insertion or substitution of one or more nucleotides, either naturally occurring or man induced, either randomly or in a targeted fashion.
According to some embodiments of the invention, the exogenous polynucleotide encodes a polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention, the polypeptide comprising an amino acid sequence at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the amino acid sequence of a naturally occurring plant orthologue of the polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
The invention provides an isolated polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.
According to some embodiments of the invention the nucleic acid sequence is capable of increasing fertilizer use efficiency (e.g., nitrogen use efficiency), yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, abiotic stress tolerance and/or water use efficiency of a plant.
According to some embodiments of the invention the isolated polynucleotide comprising the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
According to some embodiments of the invention the isolated polynucleotide is set forth by SEQ ID NO: 1-201, 328-4061 or 4062.
The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.
According to some embodiments of the invention the amino acid sequence is capable of increasing nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a plant.
The invention provides an isolated polynucleotide comprising a nucleic acid sequence encoding a polypeptide which comprises the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to an aspect of some embodiments of the invention, there is provided a nucleic acid construct comprising the isolated polynucleotide of the invention, and a promoter for directing transcription of the nucleic acid sequence in a host cell.
The invention provides an isolated polypeptide comprising an amino acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous to an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.
According to some embodiments of the invention, the polypeptide comprising an amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention, the polypeptide is set forth by SEQ ID NO: 202-327, 4064-6892 or 6893.
The invention also encompasses fragments of the above described polypeptides and polypeptides having mutations, such as deletions, insertions or substitutions of one or more amino acids, either naturally occurring or man induced, either randomly or in a targeted fashion.
The term “plant” as used herein encompasses a whole plant, a grafted plant, ancestor(s) and progeny of the plants and plant parts, including seeds, shoots, stems, roots (including tubers), rootstock, scion, and plant cells, tissues and organs. The plant may be in any form including suspension cultures, embryos, meristematic regions, callus tissue, leaves, gametophytes, sporophytes, pollen, and microspores. Plants that are particularly useful in the methods of the invention include all plants which belong to the superfamily Viridiplantae, in particular monocotyledonous and dicotyledonous plants including a fodder or forage legume, ornamental plant, food crop, tree, or shrub selected from the list comprising Acacia spp., Acer spp., Actinidia spp., Aesculus spp., Agathis australis, Albizia amara, Alsophila tricolor, Andropogon spp., Arachis spp, Areca catechu, Astelia fragrans, Astragalus cicer, Baikiaea plurijuga, Betula spp., Brassica spp., Bruguiera gymnorrhiza, Burkea africana, Butea frondosa, Cadaba farinosa, Calliandra spp, Camellia sinensis, Canna indica, Capsicum spp., Cassia spp., Centroema pubescens, Chacoomeles spp., Cinnamomum cassia, Coffea arabica, Colophospermum mopane, Coronillia varia, Cotoneaster serotina, Crataegus spp., Cucumis spp., Cupressus spp., Cyathea dealbata, Cydonia oblonga, Cryptomeria japonica, Cymbopogon spp., Cynthea dealbata, Cydonia oblonga, Dalbergia monetaria, Davallia divaricata, Desmodium spp., Dicksonia squarosa, Dibeteropogon amplectens, Dioclea spp, Dolichos spp., Dorycnium rectum, Echinochloa pyramidalis, Ehraffia spp., Eleusine coracana, Eragrestis spp., Erythrina spp., Eucalypfus spp., Euclea schimperi, Eulalia vi/losa, Pagopyrum spp., Feijoa sellowlana, Fragaria spp., Flemingia spp, Freycinetia banksli, Geranium thunbergii, GinAgo biloba, Glycine javanica, Gliricidia spp, Gossypium hirsutum, Grevillea spp., Guibourtia coleosperma, Hedysarum spp., Hemaffhia altissima, Heteropogon contoffus, Hordeum vulgare, Hyparrhenia rufa, Hypericum erectum, Hypeffhelia dissolute, Indigo incamata, Iris spp., Leptarrhena pyrolifolia, Lespediza spp., Lettuca spp., Leucaena leucocephala, Loudetia simplex, Lotonus bainesli, Lotus spp., Macrotyloma axillare, Malus spp., Manihot esculenta, Medicago saliva, Metasequoia glyptostroboides, Musa sapientum, Nicotianum spp., Onobrychis spp., Ornithopus spp., Oryza spp., Peltophorum africanum, Pennisetum spp., Persea gratissima, Petunia spp., Phaseolus spp., Phoenix canariensis, Phormium cookianum, Photinia spp., Picea glauca, Pinus spp., Pisum sativam, Podocarpus totara, Pogonarthria fleckii, Pogonaffhria squarrosa, Populus spp., Prosopis cineraria, Pseudotsuga menziesii, Pterolobium stellatum, Pyrus communis, Quercus spp., Rhaphiolepsis umbellata, Rhopalostylis sapida, Rhus natalensis, Ribes grossularia, Ribes spp., Robinia pseudoacacia, Rosa spp., Rubus spp., Salix spp., Schyzachyrium sanguineum, Sciadopitys vefficillata, Sequoia sempervirens, Sequoiadendron giganteum, Sorghum bicolor, Spinacia spp., Sporobolus fimbriatus, Stiburus alopecuroides, Stylosanthos humilis, Tadehagi spp, Taxodium distichum, Themeda triandra, Trifolium spp., Triticum spp., Tsuga heterophylla, Vaccinium spp., Vicia spp., Vitis vinifera, Watsonia pyramidata, Zantedeschia aethiopica, Zea mays, amaranth, artichoke, asparagus, broccoli, Brussels sprouts, cabbage, canola, carrot, cauliflower, celery, collard greens, flax, kale, lentil, oilseed rape, okra, onion, potato, rice, soybean, straw, sugar beet, sugar cane, sunflower, tomato, squash tea, maize, wheat, barley, rye, oat, peanut, pea, lentil and alfalfa, cotton, rapeseed, canola, pepper, sunflower, tobacco, eggplant, eucalyptus, a tree, an ornamental plant, a perennial grass and a forage crop. Alternatively algae and other non-Viridiplantae can be used for the methods of the present invention.
According to some embodiments of the invention, the plant used by the method of the invention is a crop plant such as rice, maize, wheat, barley, peanut, potato, sesame, olive tree, palm oil, banana, soybean, sunflower, canola, sugarcane, alfalfa, millet, leguminosae (bean, pea), flax, lupinus, rapeseed, tobacco, poplar and cotton.
According to some embodiments of the invention the plant is a dicotyledonous plant.
According to some embodiments of the invention the plant is a monocotyledonous plant.
According to some embodiments of the invention, there is provided a plant cell exogenously expressing the polynucleotide of some embodiments of the invention, the nucleic acid construct of some embodiments of the invention and/or the polypeptide of some embodiments of the invention.
According to some embodiments of the invention, expressing the exogenous polynucleotide of the invention within the plant is effected by transforming one or more cells of the plant with the exogenous polynucleotide, followed by generating a mature plant from the transformed cells and cultivating the mature plant under conditions suitable for expressing the exogenous polynucleotide within the mature plant.
According to some embodiments of the invention, the transformation is effected by introducing to the plant cell a nucleic acid construct which includes the exogenous polynucleotide of some embodiments of the invention and at least one promoter for directing transcription of the exogenous polynucleotide in a host cell (a plant cell). Further details of suitable transformation approaches are provided hereinbelow.
As mentioned, the nucleic acid construct according to some embodiments of the invention comprises a promoter sequence and the isolated polynucleotide of some embodiments of the invention.
According to some embodiments of the invention, the isolated polynucleotide is operably linked to the promoter sequence.
A coding nucleic acid sequence is “operably linked” to a regulatory sequence (e.g., promoter) if the regulatory sequence is capable of exerting a regulatory effect on the coding sequence linked thereto.
As used herein, the term “promoter” refers to a region of DNA which lies upstream of the transcriptional initiation site of a gene to which RNA polymerase binds to initiate transcription of RNA. The promoter controls where (e.g., which portion of a plant) and/or when (e.g., at which stage or condition in the lifetime of an organism) the gene is expressed.
According to some embodiments of the invention, the promoter is heterologous to the isolated polynucleotide and/or to the host cell.
As used herein the phrase “heterologous promoter” refers to a promoter from a different species or from the same species but from a different gene locus as of the isolated polynucleotide sequence.
Any suitable promoter sequence can be used by the nucleic acid construct of the present invention. Preferably the promoter is a constitutive promoter, a tissue-specific, or an abiotic stress-inducible promoter.
According to some embodiments of the invention, the promoter is a plant promoter, which is suitable for expression of the exogenous polynucleotide in a plant cell.
Suitable promoters for expression in wheat include, but are not limited to, Wheat SPA promoter (SEQ ID NO: 6894; Albanietal, Plant Cell, 9: 171-184, 1997, which is fully incorporated herein by reference), wheat LMW (SEQ ID NO: 6895 (longer LMW promoter), and SEQ ID NO: 6896 (LMW promoter) and HMW glutenin-1 (SEQ ID NO: 6897 (Wheat HMW glutenin-1 longer promoter); and SEQ ID NO: 6898 (Wheat HMW glutenin-1 Promoter); Thomas and Flavell, The Plant Cell 2:1171-1180; Furtado et al., 2009 Plant Biotechnology Journal 7:240-253, each of which is fully incorporated herein by reference), wheat alpha, beta and gamma gliadins [e.g., SEQ ID NO: 6899 (wheat alpha gliadin, B genome, promoter); SEQ ID NO: 6900 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984, which is fully incorporated herein by reference], wheat TdPR60 [SEQ ID NO:6901 (wheat TdPR60 longer promoter) or SEQ ID NO:6902 (wheat TdPR60 promoter); Kovalchuk et al., Plant Mol Biol 71:81-98, 2009, which is fully incorporated herein by reference], maize Ubl Promoter [cultivar Nongda 105 (SEQ ID NO:6903); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:6904); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO:6905; Mc Elroy et al. 1990, The Plant Cell, Vol. 2, 163-171, which is fully incorporated herein by reference), rice GOS2 [SEQ ID NO: 6906 (rice GOS2 longer promoter) and SEQ ID NO: 6907 (rice GOS2 Promoter); De Pater et al. Plant J. 1992; 2: 837-44, which is fully incorporated herein by reference], arabidopsis Phol [SEQ ID NO: 6908 (arabidopsis Phol Promoter); Hamburger et al., Plant Cell. 2002; 14: 889-902, which is fully incorporated herein by reference], ExpansinB promoters, e.g., rice ExpB5 [SEQ ID NO:6909 (rice ExpB5 longer promoter) and SEQ ID NO: 6910 (rice ExpB5 promoter)] and Barley ExpB1 [SEQ ID NO: 6911 (barley ExpB1 Promoter), Won et al. Mol Cells. 2010; 30:369-76, which is fully incorporated herein by reference], barley SS2 (sucrose synthase 2) [(SEQ ID NO: 6912), Guerin and Carbonero, Plant Physiology May 1997 vol. 114 no. 1 55-62, which is fully incorporated herein by reference], and rice PG5a [SEQ ID NO:6913, U.S. Pat. No. 7,700,835, Nakase et al., Plant Mol Biol. 32:621-30, 1996, each of which is fully incorporated herein by reference].
Suitable constitutive promoters include, for example, CaMV 35S promoter [SEQ ID NO: 6914 (CaMV 35S (QFNC) Promoter); SEQ ID NO: 6915 (PJJ 35S from Brachypodium); SEQ ID NO: 6916 (CaMV 35S (OLD) Promoter) (Odell et al., Nature 313:810-812, 1985); 35S (pEBbVNi Promoter; SEQ ID NO: 6930)], Arabidopsis At6669 promoter (SEQ ID NO: 6917 (Arabidopsis At6669 (OLD) Promoter); see PCT Publication No. WO04081173A2 or the new At6669 promoter (SEQ ID NO: 6918 (Arabidopsis At6669 (NEW) Promoter)); maize Ubl Promoter [cultivar Nongda 105 (SEQ ID NO:6903); GenBank: DQ141598.1; Taylor et al., Plant Cell Rep 1993 12: 491-495, which is fully incorporated herein by reference; and cultivar B73 (SEQ ID NO:6904); Christensen, A H, et al. Plant Mol. Biol. 18 (4), 675-689 (1992), which is fully incorporated herein by reference]; rice actin 1 (SEQ ID NO: 6905, McElroy et al., Plant Cell 2:163-171, 1990); pEMU (Last et al., Theor. Appl. Genet. 81:581-588, 1991); CaMV 19S (Nilsson et al., Physiol. Plant 100:456-462, 1997); rice GOS2 [SEQ ID NO: 6906 (rice GOS2 longer Promoter) and SEQ ID NO: 6907 (rice GOS2 Promoter), de Pater et al, Plant J November; 2(6):837-44, 1992]; RBCS promoter (SEQ ID NO:6919); Rice cyclophilin (Bucholz et al, Plant Mol Biol. 25(5):837-43, 1994); Maize H3 histone (Lepetit et al, Mol. Gen. Genet. 231: 276-285, 1992); Actin 2 (An et al, Plant J. 10(1); 107-121, 1996) and Synthetic Super MAS (Ni et al., The Plant Journal 7: 661-76, 1995). Other constitutive promoters include those in U.S. Pat. Nos. 5,659,026, 5,608,149; 5,608,144; 5,604,121; 5,569,597: 5,466,785; 5,399,680; 5,268,463; and 5,608,142.
Suitable tissue-specific promoters include, but not limited to, leaf-specific promoters [e.g., AT5G06690 (Thioredoxin) (high expression, SEQ ID NO: 6920), AT5G61520 (AtSTP3) (low expression, SEQ ID NO: 6921) described in Buttner et al 2000 Plant, Cell and Environment 23, 175-184, or the promoters described in Yamamoto et al., Plant J. 12:255-265, 1997; Kwon et al., Plant Physiol. 105:357-67, 1994; Yamamoto et al., Plant Cell Physiol. 35:773-778, 1994; Gotor et al., Plant J. 3:509-18, 1993; Orozco et al., Plant Mol. Biol. 23:1129-1138, 1993; and Matsuoka et al., Proc. Natl. Acad. Sci. USA 90:9586-9590, 1993; as well as Arabidopsis STP3 (AT5G61520) promoter (Buttner et al., Plant, Cell and Environment 23:175-184, 2000)], seed-preferred promoters [e.g., Napin (originated from Brassica napus which is characterized by a seed specific promoter activity; Stuitje A. R. et. al. Plant Biotechnology Journal 1 (4): 301-309; SEQ ID NO: 6922 (Brassica napus NAPIN Promoter) from seed specific genes (Simon, et al., Plant Mol. Biol. 5. 191, 1985; Scofield, et al., J. Biol. Chem. 262: 12202, 1987; Baszczynski, et al., Plant Mol. Biol. 14: 633, 1990), rice PG5a (SEQ ID NO: 6913; U.S. Pat. No. 7,700,835), early seed development Arabidopsis BAN (AT1G61720) (SEQ ID NO: 6923, US 2009/0031450 A1), late seed development Arabidopsis ABI3 (AT3G24650) (SEQ ID NO: 6924 (Arabidopsis ABI3 (AT3G24650) longer Promoter) or 6925 (Arabidopsis ABI3 (AT3G24650) Promoter)) (Ng et al., Plant Molecular Biology 54: 25-38, 2004), Brazil Nut albumin (Pearson′ et al., Plant Mol. Biol. 18: 235-245, 1992), legumin (Ellis, et al. Plant Mol. Biol. 10: 203-214, 1988), Glutelin (rice) (Takaiwa, et al., Mol. Gen. Genet. 208: 15-22, 1986; Takaiwa, et al., FEBS Letts. 221: 43-47, 1987), Zein (Matzke et al Plant Mol Biol, 143).323-32 1990), napA (Stalberg, et al, Planta 199: 515-519, 1996), Wheat SPA (SEQ ID NO:6894; Albanietal, Plant Cell, 9: 171-184, 1997), sunflower oleosin (Cummins, et al., Plant Mol. Biol. 19: 873-876, 1992)], endosperm specific promoters [e.g., wheat LMW (SEQ ID NO: 6895 (Wheat LMW Longer Promoter), and SEQ ID NO: 6896 (Wheat LMW Promoter) and HMW glutenin-1 [(SEQ ID NO: 6897 (Wheat HMW glutenin-1 longer Promoter)); and SEQ ID NO: 6898 (Wheat HMW glutenin-1 Promoter), Thomas and Flavell, The Plant Cell 2:1171-1180, 1990; Mol Gen Genet 216:81-90, 1989; NAR 17:461-2), wheat alpha, beta and gamma gliadins (SEQ ID NO: 6899 (wheat alpha gliadin (B genome) promoter); SEQ ID NO: 6900 (wheat gamma gliadin promoter); EMBO 3:1409-15, 1984), Barley ltrl promoter, barley B1, C, D hordein (Theor Appl Gen 98:1253-62, 1999; Plant J 4:343-55, 1993; Mol Gen Genet 250:750-60, 1996), Barley DOF (Mena et al, The Plant Journal, 116(1): 53-62, 1998), Biz2 (EP99106056.7), Barley SS2 (SEQ ID NO: 6912 (Barley SS2 Promoter); Guerin and Carbonero Plant Physiology 114: 1 55-62, 1997), wheat Tarp60 (Kovalchuk et al., Plant Mol Biol 71:81-98, 2009), barley D-hordein (D-Hor) and B-hordein (B-Hor) (Agnelo Furtado, Robert J. Henry and Alessandro Pellegrineschi (2009)], Synthetic promoter (Vicente-Carbajosa et al., Plant J. 13: 629-640, 1998), rice prolamin NRP33, rice -globulin Glb-1 (Wu et al, Plant Cell Physiology 39(8) 885-889, 1998), rice alpha-globulin REB/OHP-1 (Nakase et al. Plant Mol. Biol. 33: 513-S22, 1997), rice ADP-glucose PP (Trans Res 6:157-68, 1997), maize ESR gene family (Plant J 12:235-46, 1997), sorgum gamma-kafirin (PMB 32:1029-35, 1996)], embryo specific promoters [e.g., rice OSH1 (Sato et al, Proc. Natl. Acad. Sci. USA, 93: 8117-8122), KNOX (Postma-Haarsma et al, Plant Mol. Biol. 39:257-71, 1999), rice oleosin (Wu et at, J. Biochem., 123:386, 1998)], and flower-specific promoters [e.g., AtPRP4, chalene synthase (chsA) (Van der Meer, et al., Plant Mol. Biol. 15, 95-109, 1990), LAT52 (Twell et al Mol. Gen Genet. 217:240-245; 1989), Arabidopsis apetala-3 (Tilly et al., Development. 125:1647-57, 1998), Arabidopsis APETALA 1 (AT1G69120, AP1) (SEQ ID NO: 6926 (Arabidopsis (AT1G69120) APETALA 1)) (Hempel et al., Development 124:3845-3853, 1997)], and root promoters [e.g., the ROOTP promoter [SEQ ID NO: 6927]; rice ExpB5 (SEQ ID NO: 6910 (rice ExpB5 Promoter); or SEQ ID NO: 6909 (rice ExpB5 longer Promoter)) and barley ExpB1 promoters (SEQ ID NO:6911) (Won et al. Mol. Cells 30: 369-376, 2010); arabidopsis ATTPS-CIN (AT3G25820) promoter (SEQ ID NO: 6928; Chen et al., Plant Phys 135:1956-66, 2004); arabidopsis Phol promoter (SEQ ID NO: 6908, Hamburger et al., Plant Cell. 14: 889-902, 2002), which is also slightly induced by stress].
Suitable abiotic stress-inducible promoters include, but not limited to, salt-inducible promoters such as RD29A (Yamaguchi-Shinozalei et al., Mol. Gen. Genet. 236:331-340, 1993); drought-inducible promoters such as maize rab17 gene promoter (Pla et. al., Plant Mol. Biol. 21:259-266, 1993), maize rab28 gene promoter (Busk et. al., Plant J. 11:1285-1295, 1997) and maize Ivr2 gene promoter (Pelleschi et. al., Plant Mol. Biol. 39:373-380, 1999); heat-inducible promoters such as heat tomato hsp80-promoter from tomato (U.S. Pat. No. 5,187,267).
The nucleic acid construct of some embodiments of the invention can further include an appropriate selectable marker and/or an origin of replication. According to some embodiments of the invention, the nucleic acid construct utilized is a shuttle vector, which can propagate both in E. coli (wherein the construct comprises an appropriate selectable marker and origin of replication) and be compatible with propagation in cells. The construct according to the present invention can be, for example, a plasmid, a bacmid, a phagemid, a cosmid, a phage, a virus or an artificial chromosome.
The nucleic acid construct of some embodiments of the invention can be utilized to stably or transiently transform plant cells. In stable transformation, the exogenous polynucleotide is integrated into the plant genome and as such it represents a stable and inherited trait. In transient transformation, the exogenous polynucleotide is expressed by the cell transformed but it is not integrated into the genome and as such it represents a transient trait.
There are various methods of introducing foreign genes into both monocotyledonous and dicotyledonous plants (Potrykus, I., Annu. Rev. Plant. Physiol., Plant. Mol. Biol. (1991) 42:205-225; Shimamoto et al., Nature (1989) 338:274-276).
The principle methods of causing stable integration of exogenous DNA into plant genomic DNA include two main approaches:
(i) Agrobacterium-mediated gene transfer: Klee et al. (1987) Annu. Rev. Plant Physiol. 38:467-486; Klee and Rogers in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes, eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 2-25; Gatenby, in Plant Biotechnology, eds. Kung, S. and Arntzen, C. J., Butterworth Publishers, Boston, Mass. (1989) p. 93-112.
(ii) Direct DNA uptake: Paszkowski et al., in Cell Culture and Somatic Cell Genetics of Plants, Vol. 6, Molecular Biology of Plant Nuclear Genes eds. Schell, J., and Vasil, L. K., Academic Publishers, San Diego, Calif. (1989) p. 52-68; including methods for direct uptake of DNA into protoplasts, Toriyama, K. et al. (1988) Bio/Technology 6:1072-1074. DNA uptake induced by brief electric shock of plant cells: Zhang et al. Plant Cell Rep. (1988) 7:379-384. Fromm et al. Nature (1986) 319:791-793. DNA injection into plant cells or tissues by particle bombardment, Klein et al. Bio/Technology (1988) 6:559-563; McCabe et al. Bio/Technology (1988) 6:923-926; Sanford, Physiol. Plant. (1990) 79:206-209; by the use of micropipette systems: Neuhaus et al., Theor. Appl. Genet. (1987) 75:30-36; Neuhaus and Spangenberg, Physiol. Plant. (1990) 79:213-217; glass fibers or silicon carbide whisker transformation of cell cultures, embryos or callus tissue, U.S. Pat. No. 5,464,765 or by the direct incubation of DNA with germinating pollen, DeWet et al. in Experimental Manipulation of Ovule Tissue, eds. Chapman, G. P. and Mantell, S. H. and Daniels, W. Longman, London, (1985) p. 197-209; and Ohta, Proc. Natl. Acad. Sci. USA (1986) 83:715-719.
The Agrobacterium system includes the use of plasmid vectors that contain defined DNA segments that integrate into the plant genomic DNA. Methods of inoculation of the plant tissue vary depending upon the plant species and the Agrobacterium delivery system. A widely used approach is the leaf disc procedure which can be performed with any tissue explant that provides a good source for initiation of whole plant differentiation. See, e.g., Horsch et al. in Plant Molecular Biology Manual A5, Kluwer Academic Publishers, Dordrecht (1988) p. 1-9. A supplementary approach employs the Agrobacterium delivery system in combination with vacuum infiltration. The Agrobacterium system is especially viable in the creation of transgenic dicotyledonous plants.
There are various methods of direct DNA transfer into plant cells. In electroporation, the protoplasts are briefly exposed to a strong electric field. In microinjection, the DNA is mechanically injected directly into the cells using very small micropipettes. In microparticle bombardment, the DNA is adsorbed on microprojectiles such as magnesium sulfate crystals or tungsten particles, and the microprojectiles are physically accelerated into cells or plant tissues.
Following stable transformation plant propagation is exercised. The most common method of plant propagation is by seed. Regeneration by seed propagation, however, has the deficiency that due to heterozygosity there is a lack of uniformity in the crop, since seeds are produced by plants according to the genetic variances governed by Mendelian rules. Basically, each seed is genetically different and each will grow with its own specific traits. Therefore, it is preferred that the transformed plant be produced such that the regenerated plant has the identical traits and characteristics of the parent transgenic plant. Therefore, it is preferred that the transformed plant be regenerated by micropropagation which provides a rapid, consistent reproduction of the transformed plants.
Micropropagation is a process of growing new generation plants from a single piece of tissue that has been excised from a selected parent plant or cultivar. This process permits the mass reproduction of plants having the preferred tissue expressing the fusion protein. The new generation plants which are produced are genetically identical to, and have all of the characteristics of, the original plant. Micropropagation allows mass production of quality plant material in a short period of time and offers a rapid multiplication of selected cultivars in the preservation of the characteristics of the original transgenic or transformed plant. The advantages of cloning plants are the speed of plant multiplication and the quality and uniformity of plants produced.
Micropropagation is a multi-stage procedure that requires alteration of culture medium or growth conditions between stages. Thus, the micropropagation process involves four basic stages: Stage one, initial tissue culturing; stage two, tissue culture multiplication; stage three, differentiation and plant formation; and stage four, greenhouse culturing and hardening. During stage one, initial tissue culturing, the tissue culture is established and certified contaminant-free. During stage two, the initial tissue culture is multiplied until a sufficient number of tissue samples are produced from the seedlings to meet production goals. During stage three, the tissue samples grown in stage two are divided and grown into individual plantlets. At stage four, the transformed plantlets are transferred to a greenhouse for hardening where the plants' tolerance to light is gradually increased so that it can be grown in the natural environment.
According to some embodiments of the invention, the transgenic plants are generated by transient transformation of leaf cells, meristematic cells or the whole plant.
Transient transformation can be effected by any of the direct DNA transfer methods described above or by viral infection using modified plant viruses.
Viruses that have been shown to be useful for the transformation of plant hosts include CaMV, Tobacco mosaic virus (TMV), brome mosaic virus (BMV) and Bean Common Mosaic Virus (BV or BCMV). Transformation of plants using plant viruses is described in U.S. Pat. No. 4,855,237 (bean golden mosaic virus; BGV), EP-A 67,553 (TMV), Japanese Published Application No. 63-14693 (TMV), EPA 194,809 (BV), EPA 278,667 (BV); and Gluzman, Y. et al., Communications in Molecular Biology: Viral Vectors, Cold Spring Harbor Laboratory, New York, pp. 172-189 (1988). Pseudovirus particles for use in expressing foreign DNA in many hosts, including plants are described in WO 87/06261.
According to some embodiments of the invention, the virus used for transient transformations is avirulent and thus is incapable of causing severe symptoms such as reduced growth rate, mosaic, ring spots, leaf roll, yellowing, streaking, pox formation, tumor formation and pitting. A suitable avirulent virus may be a naturally occurring avirulent virus or an artificially attenuated virus. Virus attenuation may be effected by using methods well known in the art including, but not limited to, sub-lethal heating, chemical treatment or by directed mutagenesis techniques such as described, for example, by Kurihara and Watanabe (Molecular Plant Pathology 4:259-269, 2003), Gal-on et al. (1992), Atreya et al. (1992) and Huet et al. (1994).
Suitable virus strains can be obtained from available sources such as, for example, the American Type culture Collection (ATCC) or by isolation from infected plants. Isolation of viruses from infected plant tissues can be effected by techniques well known in the art such as described, for example by Foster and Taylor, Eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998. Briefly, tissues of an infected plant believed to contain a high concentration of a suitable virus, preferably young leaves and flower petals, are ground in a buffer solution (e.g., phosphate buffer solution) to produce a virus infected sap which can be used in subsequent inoculations.
Construction of plant RNA viruses for the introduction and expression of non-viral exogenous polynucleotide sequences in plants is demonstrated by the above references as well as by Dawson, W. O. et al., Virology (1989) 172:285-292; Takamatsu et al. EMBO J. (1987) 6:307-311; French et al. Science (1986) 231:1294-1297; Takamatsu et al. FEBS Letters (1990) 269:73-76; and U.S. Pat. No. 5,316,931.
When the virus is a DNA virus, suitable modifications can be made to the virus itself. Alternatively, the virus can first be cloned into a bacterial plasmid for ease of constructing the desired viral vector with the foreign DNA. The virus can then be excised from the plasmid. If the virus is a DNA virus, a bacterial origin of replication can be attached to the viral DNA, which is then replicated by the bacteria. Transcription and translation of this DNA will produce the coat protein which will encapsidate the viral DNA. If the virus is an RNA virus, the virus is generally cloned as a cDNA and inserted into a plasmid. The plasmid is then used to make all of the constructions. The RNA virus is then produced by transcribing the viral sequence of the plasmid and translation of the viral genes to produce the coat protein(s) which encapsidate the viral RNA.
In one embodiment, a plant viral polynucleotide is provided in which the native coat protein coding sequence has been deleted from a viral polynucleotide, a non-native plant viral coat protein coding sequence and a non-native promoter, preferably the subgenomic promoter of the non-native coat protein coding sequence, capable of expression in the plant host, packaging of the recombinant plant viral polynucleotide, and ensuring a systemic infection of the host by the recombinant plant viral polynucleotide, has been inserted. Alternatively, the coat protein gene may be inactivated by insertion of the non-native polynucleotide sequence within it, such that a protein is produced. The recombinant plant viral polynucleotide may contain one or more additional non-native subgenomic promoters. Each non-native subgenomic promoter is capable of transcribing or expressing adjacent genes or polynucleotide sequences in the plant host and incapable of recombination with each other and with native subgenomic promoters. Non-native (foreign) polynucleotide sequences may be inserted adjacent the native plant viral subgenomic promoter or the native and a non-native plant viral subgenomic promoters if more than one polynucleotide sequence is included. The non-native polynucleotide sequences are transcribed or expressed in the host plant under control of the subgenomic promoter to produce the desired products.
In a second embodiment, a recombinant plant viral polynucleotide is provided as in the first embodiment except that the native coat protein coding sequence is placed adjacent one of the non-native coat protein subgenomic promoters instead of a non-native coat protein coding sequence.
In a third embodiment, a recombinant plant viral polynucleotide is provided in which the native coat protein gene is adjacent its subgenomic promoter and one or more non-native subgenomic promoters have been inserted into the viral polynucleotide. The inserted non-native subgenomic promoters are capable of transcribing or expressing adjacent genes in a plant host and are incapable of recombination with each other and with native subgenomic promoters. Non-native polynucleotide sequences may be inserted adjacent the non-native subgenomic plant viral promoters such that the sequences are transcribed or expressed in the host plant under control of the subgenomic promoters to produce the desired product.
In a fourth embodiment, a recombinant plant viral polynucleotide is provided as in the third embodiment except that the native coat protein coding sequence is replaced by a non-native coat protein coding sequence.
The viral vectors are encapsidated by the coat proteins encoded by the recombinant plant viral polynucleotide to produce a recombinant plant virus. The recombinant plant viral polynucleotide or recombinant plant virus is used to infect appropriate host plants. The recombinant plant viral polynucleotide is capable of replication in the host, systemic spread in the host, and transcription or expression of foreign gene(s) (exogenous polynucleotide) in the host to produce the desired protein. Techniques for inoculation of viruses to plants may be found in Foster and Taylor, eds. “Plant Virology Protocols: From Virus Isolation to Transgenic Resistance (Methods in Molecular Biology (Humana Pr), Vol 81)”, Humana Press, 1998; Maramorosh and Koprowski, eds. “Methods in Virology” 7 vols, Academic Press, New York 1967-1984; Hill, S. A. “Methods in Plant Virology”, Blackwell, Oxford, 1984; Walkey, D. G. A. “Applied Plant Virology”, Wiley, New York, 1985; and Kado and Agrawa, eds. “Principles and Techniques in Plant Virology”, Van Nostrand-Reinhold, New York.
In addition to the above, the polynucleotide of the present invention can also be introduced into a chloroplast genome thereby enabling chloroplast expression.
A technique for introducing exogenous polynucleotide sequences to the genome of the chloroplasts is known. This technique involves the following procedures. First, plant cells are chemically treated so as to reduce the number of chloroplasts per cell to about one. Then, the exogenous polynucleotide is introduced via particle bombardment into the cells with the aim of introducing at least one exogenous polynucleotide molecule into the chloroplasts. The exogenous polynucleotides selected such that it is integratable into the chloroplast's genome via homologous recombination which is readily effected by enzymes inherent to the chloroplast. To this end, the exogenous polynucleotide includes, in addition to a gene of interest, at least one polynucleotide stretch which is derived from the chloroplast's genome. In addition, the exogenous polynucleotide includes a selectable marker, which serves by sequential selection procedures to ascertain that all or substantially all of the copies of the chloroplast genomes following such selection will include the exogenous polynucleotide. Further details relating to this technique are found in U.S. Pat. Nos. 4,945,050; and 5,693,507 which are incorporated herein by reference. A polypeptide can thus be produced by the protein expression system of the chloroplast and become integrated into the chloroplast's inner membrane.
According to some embodiments, there is provided a method of improving nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of a grafted plant, the method comprising providing a scion that does not transgenically express a polynucleotide encoding a polypeptide at least 80% homologous to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893 (e.g., in a constitutive or an abiotic stress responsive manner), thereby improving the nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance of the grafted plant.
In some embodiments, the plant scion is non-transgenic.
Several embodiments relate to a grafted plant exhibiting improved nitrogen use efficiency, yield, growth rate, biomass, vigor, oil content, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, and/or abiotic stress tolerance, comprising a scion that does not transgenically express a polynucleotide encoding a polypeptide at least about 80% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893 and a plant rootstock that transgenically expresses a polynucleotide encoding a polypeptide at at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893.
In some embodiments, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% homologous (or identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893 in a stress responsive manner.
According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide encoding a polypeptide selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide comprising a nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the polynucleotide selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062.
According to some embodiments of the invention, the plant root stock transgenically expresses a polynucleotide selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
Since processes which increase nitrogen use efficiency, fertilizer use efficiency, oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance of a plant can involve multiple genes acting additively or in synergy (see, for example, in Quesda et al., Plant Physiol. 130:951-063, 2002), the present invention also envisages expressing a plurality of exogenous polynucleotides in a single host plant to thereby achieve superior effect on oil content, yield, seed yield, fiber yield, fiber quality, fiber length, photosynthetic capacity, growth rate, biomass, vigor and/or abiotic stress tolerance.
Expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing multiple nucleic acid constructs, each including a different exogenous polynucleotide, into a single plant cell. The transformed cell can then be regenerated into a mature plant using the methods described hereinabove.
Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by co-introducing into a single plant-cell a single nucleic-acid construct including a plurality of different exogenous polynucleotides. Such a construct can be designed with a single promoter sequence which can transcribe a polycistronic messenger RNA including all the different exogenous polynucleotide sequences. To enable co-translation of the different polypeptides encoded by the polycistronic messenger RNA, the polynucleotide sequences can be inter-linked via an internal ribosome entry site (IRES) sequence which facilitates translation of polynucleotide sequences positioned downstream of the IRES sequence. In this case, a transcribed polycistronic RNA molecule encoding the different polypeptides described above will be translated from both the capped 5′ end and the two internal IRES sequences of the polycistronic RNA molecule to thereby produce in the cell all different polypeptides. Alternatively, the construct can include several promoter sequences each linked to a different exogenous polynucleotide sequence.
The plant cell transformed with the construct including a plurality of different exogenous polynucleotides, can be regenerated into a mature plant, using the methods described hereinabove.
Alternatively, expressing a plurality of exogenous polynucleotides in a single host plant can be effected by introducing different nucleic acid constructs, including different exogenous polynucleotides, into a plurality of plants. The regenerated transformed plants can then be cross-bred and resultant progeny selected for superior abiotic stress tolerance, water use efficiency, fertilizer use efficiency, growth, biomass, yield and/or vigor traits, using conventional plant breeding techniques.
According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under the abiotic stress.
Non-limiting examples of abiotic stress conditions include, salinity, osmotic stress, drought, water deprivation, excess of water (e.g., flood, waterlogging), etiolation, low temperature (e.g., cold stress), high temperature, heavy metal toxicity, anaerobiosis, nutrient deficiency (e.g., nitrogen deficiency or nitrogen limitation), nutrient excess, atmospheric pollution and UV irradiation.
According to some embodiments of the invention, the method further comprising growing the plant expressing the exogenous polynucleotide under fertilizer limiting conditions (e.g., nitrogen-limiting conditions). Non-limiting examples include growing the plant on soils with low nitrogen content (40-50% Nitrogen of the content present under normal or optimal conditions), or even under sever nitrogen deficiency (0-10% Nitrogen of the content present under normal or optimal conditions).
Thus, the invention encompasses plants exogenously expressing the polynucleotide(s), the nucleic acid constructs and/or polypeptide(s) of the invention.
Once expressed within the plant cell or the entire plant, the level of the polypeptide encoded by the exogenous polynucleotide can be determined by methods well known in the art such as, activity assays, Western blots using antibodies capable of specifically binding the polypeptide, Enzyme-Linked Immuno Sorbent Assay (ELISA), radio-immuno-assays (RIA), immunohistochemistry, immunocytochemistry, immunofluorescence and the like.
Methods of determining the level in the plant of the RNA transcribed from the exogenous polynucleotide are well known in the art and include, for example, Northern blot analysis, reverse transcription polymerase chain reaction (RT-PCR) analysis (including quantitative, semi-quantitative or real-time RT-PCR) and RNA-in situ hybridization.
The sequence information and annotations uncovered by the present teachings can be harnessed in favor of classical breeding. Thus, sub-sequence data of those polynucleotides described above, can be used as markers for marker assisted selection (MAS), in which a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (e.g., biomass, growth rate, oil content, yield, abiotic stress tolerance, water use efficiency, nitrogen use efficiency and/or fertilizer use efficiency). Nucleic acid data of the present teachings (DNA or RNA sequence) may contain or be linked to polymorphic sites or genetic markers on the genome such as restriction fragment length polymorphism (RFLP), microsatellites and single nucleotide polymorphism (SNP), DNA fingerprinting (DFP), amplified fragment length polymorphism (AFLP), expression level polymorphism, polymorphism of the encoded polypeptide and any other polymorphism at the DNA or RNA sequence.
Examples of marker assisted selections include, but are not limited to, selection for a morphological trait (e.g., a gene that affects form, coloration, male sterility or resistance such as the presence or absence of awn, leaf sheath coloration, height, grain color, aroma of rice); selection for a biochemical trait (e.g., a gene that encodes a protein that can be extracted and observed; for example, isozymes and storage proteins); selection for a biological trait (e.g., pathogen races or insect biotypes based on host pathogen or host parasite interaction can be used as a marker since the genetic constitution of an organism can affect its susceptibility to pathogens or parasites).
The polynucleotides and polypeptides described hereinabove can be used in a wide range of economical plants, in a safe and cost effective manner.
Plant lines exogenously expressing the polynucleotide or the polypeptide of the invention are screened to identify those that show the greatest increase of the desired plant trait.
Thus, according to an additional embodiment of the present invention, there is provided a method of evaluating a trait of a plant, the method comprising: (a) expressing in a plant or a portion thereof the nucleic acid construct of some embodiments of the invention; and (b) evaluating a trait of a plant as compared to a wild type plant of the same type (e.g., a plant not transformed with the claimed biomolecules); thereby evaluating the trait of the plant.
According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein said plant is derived from a plant selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.
According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide encoding a polypeptide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% homologous (e.g., identical) to the amino acid sequence selected from the group consisting of SEQ ID NOs: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, and 6792-6893, wherein the crop plant is derived from plants selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.
According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to an aspect of some embodiments of the invention there is provided a method of producing a crop comprising growing a crop of a plant expressing an exogenous polynucleotide which comprises a nucleic acid sequence which is at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein said plant is derived from a plant (parent plant) that has been transformed to express the exogenous polynucleotide and that has been selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a control plant, thereby producing the crop.
According to an aspect of some embodiments of the present invention there is provided a method of producing a crop comprising growing a crop plant transformed with an exogenous polynucleotide at least 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, or more say 100% identical to the nucleic acid sequence selected from the group consisting of SEQ ID NOs: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, and 3955-4062, wherein the crop plant is derived from plants selected for increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a wild type plant of the same species which is grown under the same growth conditions, and the crop plant having the increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency), thereby producing the crop.
According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
According to an aspect of some embodiments of the invention there is provided a method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with the exogenous polynucleotide of the invention, e.g., the polynucleotide which encodes the polypeptide of some embodiments of the invention, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant.
According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising a nucleic acid sequence encoding a polypeptide at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 202-219, 221-292, 295-327, 4064-4175, 4177-4210, 4212-4580, 4582-4603, 4605-4749, 4751-4778, 4780-5223, 5225-5493, 5522-5807, 5812, 5815-5816, 5828-6679, 6689-6690, 6708-6785, 6792-6892 or 6893, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.
According to some embodiments of the invention the polypeptide is selected from the group consisting of SEQ ID NOs: 202-327 and 4064-6893.
According to some embodiments of the invention the method of growing a crop comprising seeding seeds and/or planting plantlets of a plant transformed with an exogenous polynucleotide comprising the nucleic acid sequence at least about 80%, at least about 81%, at least about 82%, at least about 83%, at least about 84%, at least about 85%, at least about 86%, at least about 87%, at least about 88%, at least about 89%, at least about 90%, at least about 91%, at least about 92%, at least about 93%, at least about 93%, at least about 94%, at least about 95%, at least about 96%, at least about 97%, at least about 98%, at least about 99%, e.g., 100% identical to SEQ ID NO: 1-91, 94-201, 328-2317, 2320-2321, 2323, 2326-3835, 3838-3840, 3842-3843, 3848, 3850-3852, 3854, 3856-3953, 3955-4061 or 4062, wherein the plant is derived from plants selected for at least one trait selected from the group consisting of increased abiotic stress tolerance, increased water use efficiency, increased growth rate, increased vigor, increased biomass, increased oil content, increased yield, increased seed yield, increased fiber yield, increased fiber quality, increased fiber length, increased photosynthetic capacity, and/or increased fertilizer use efficiency (e.g., increased nitrogen use efficiency) as compared to a non-transformed plant, thereby growing the crop.
According to some embodiments of the invention the exogenous polynucleotide is selected from the group consisting of SEQ ID NOs: 1-201 and 328-4062.
The effect of the transgene (the exogenous polynucleotide encoding the polypeptide) on abiotic stress tolerance can be determined using known methods such as detailed below and in the Examples section which follows.
Abiotic stress tolerance—Transformed (i.e., expressing the transgene) and non-transformed (wild type) plants are exposed to an abiotic stress condition, such as water deprivation, suboptimal temperature (low temperature, high temperature), nutrient deficiency, nutrient excess, a salt stress condition, osmotic stress, heavy metal toxicity, anaerobiosis, atmospheric pollution and UV irradiation.
Salinity tolerance assay—Transgenic plants with tolerance to high salt concentrations are expected to exhibit better germination, seedling vigor or growth in high salt. Salt stress can be effected in many ways such as, for example, by irrigating the plants with a hyperosmotic solution, by cultivating the plants hydroponically in a hyperosmotic growth solution (e.g., Hoagland solution), or by culturing the plants in a hyperosmotic growth medium [e.g., 50% Murashige-Skoog medium (MS medium)]. Since different plants vary considerably in their tolerance to salinity, the salt concentration in the irrigation water, growth solution, or growth medium can be adjusted according to the specific characteristics of the specific plant cultivar or variety, so as to inflict a mild or moderate effect on the physiology and/or morphology of the plants (for guidelines as to appropriate concentration see, Bernstein and Kafkafi, Root Growth Under Salinity Stress In: Plant Roots, The Hidden Half 3rd ed. Waisel Y, Eshel A and Kafkafi U. (editors) Marcel Dekker Inc., New York, 2002, and reference therein).
For example, a salinity tolerance test can be performed by irrigating plants at different developmental stages with increasing concentrations of sodium chloride (for example 50 mM, 100 mM, 200 mM, 400 mM NaCl) applied from the bottom and from above to ensure even dispersal of salt. Following exposure to the stress condition the plants are frequently monitored until substantial physiological and/or morphological effects appear in wild type plants. Thus, the external phenotypic appearance, degree of wilting and overall success to reach maturity and yield progeny are compared between control and transgenic plants.
Quantitative parameters of tolerance measured include, but are not limited to, the average wet and dry weight, growth rate, leaf size, leaf coverage (overall leaf area), the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher biomass than wild-type plants, are identified as abiotic stress tolerant plants.
Osmotic tolerance test—Osmotic stress assays (including sodium chloride and mannitol assays) are conducted to determine if an osmotic stress phenotype was sodium chloride-specific or if it was a general osmotic stress related phenotype. Plants which are tolerant to osmotic stress may have more tolerance to drought and/or freezing. For salt and osmotic stress germination experiments, the medium is supplemented for example with 50 mM, 100 mM, 200 mM NaCl or 100 mM, 200 mM NaCl, 400 mM mannitol.
Drought tolerance assay/Osmoticum assay—Tolerance to drought is performed to identify the genes conferring better plant survival after acute water deprivation. To analyze whether the transgenic plants are more tolerant to drought, an osmotic stress produced by the non-ionic osmolyte sorbitol in the medium can be performed. Control and transgenic plants are germinated and grown in plant-agar plates for 4 days, after which they are transferred to plates containing 500 mM sorbitol. The treatment causes growth retardation, then both control and transgenic plants are compared, by measuring plant weight (wet and dry), yield, and by growth rates measured as time to flowering.
Conversely, soil-based drought screens are performed with plants overexpressing the polynucleotides detailed above. Seeds from control Arabidopsis plants, or other transgenic plants overexpressing the polypeptide of the invention are germinated and transferred to pots. Drought stress is obtained after irrigation is ceased accompanied by placing the pots on absorbent paper to enhance the soil-drying rate. Transgenic and control plants are compared to each other when the majority of the control plants develop severe wilting. Plants are re-watered after obtaining a significant fraction of the control plants displaying a severe wilting. Plants are ranked comparing to controls for each of two criteria: tolerance to the drought conditions and recovery (survival) following re-watering.
Cold stress tolerance—To analyze cold stress, mature (25 day old) plants are transferred to 4° C. chambers for 1 or 2 weeks, with constitutive light. Later on plants are moved back to greenhouse. Two weeks later damages from chilling period, resulting in growth retardation and other phenotypes, are compared between both control and transgenic plants, by measuring plant weight (wet and dry), and by comparing growth rates measured as time to flowering, plant size, yield, and the like.
Heat stress tolerance—Heat stress tolerance is achieved by exposing the plants to temperatures above 34° C. for a certain period. Plant tolerance is examined after transferring the plants back to 22° C. for recovery and evaluation after 5 days relative to internal controls (non-transgenic plants) or plants not exposed to neither cold or heat stress.
Water use efficiency—can be determined as the biomass produced per unit transpiration. To analyze WUE, leaf relative water content can be measured in control and transgenic plants. Fresh weight (FW) is immediately recorded; then leaves are soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) is recorded. Total dry weight (DW) is recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to the following Formula I:
Formula I

RWC=[(FW−DW)/(TW−DW)]×100

Fertilizer use efficiency—To analyze whether the transgenic plants are more responsive to fertilizers, plants are grown in agar plates or pots with a limited amount of fertilizer, as described, for example, in Examples 17-19 hereinbelow and in Yanagisawa et al (Proc Natl Acad Sci USA. 2004; 101:7833-8). The plants are analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain. The parameters checked are the overall size of the mature plant, its wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf verdure is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots, oil content, etc. Similarly, instead of providing nitrogen at limiting amounts, phosphate or potassium can be added at increasing concentrations. Again, the same parameters measured are the same as listed above. In this way, nitrogen use efficiency (NUE), phosphate use efficiency (PUE) and potassium use efficiency (KUE) are assessed, checking the ability of the transgenic plants to thrive under nutrient restraining conditions.
Nitrogen use efficiency—To analyze whether the transgenic plants (e.g., Arabidopsis plants) are more responsive to nitrogen, plant are grown in 0.75-3 mM (nitrogen deficient conditions) or 6-10 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 25 days or until seed production. The plants are then analyzed for their overall size, time to flowering, yield, protein content of shoot and/or grain/seed production. The parameters checked can be the overall size of the plant, wet and dry weight, the weight of the seeds yielded, the average seed size and the number of seeds produced per plant. Other parameters that may be tested are: the chlorophyll content of leaves (as nitrogen plant status and the degree of leaf greenness is highly correlated), amino acid and the total protein content of the seeds or other plant parts such as leaves or shoots and oil content. Transformed plants not exhibiting substantial physiological and/or morphological effects, or exhibiting higher measured parameters levels than wild-type plants, are identified as nitrogen use efficient plants.
Nitrogen Use efficiency assay using plantlets—The assay is done according to Yanagisawa-S. et al. with minor modifications (“Metabolic engineering with Dofl transcription factor in plants: Improved nitrogen assimilation and growth under low-nitrogen conditions” Proc. Natl. Acad. Sci. USA 101, 7833-7838). Briefly, transgenic plants which are grown for 7-10 days in 0.5×MS [Murashige-Skoog] supplemented with a selection agent are transferred to two nitrogen-limiting conditions: MS media in which the combined nitrogen concentration (NH4NO3 and KNO3) was 0.75 mM (nitrogen deficient conditions) or 6-15 mM (optimal nitrogen concentration). Plants are allowed to grow for additional 30-40 days and then photographed, individually removed from the Agar (the shoot without the roots) and immediately weighed (fresh weight) for later statistical analysis. Constructs for which only T1 seeds are available are sown on selective media and at least 20 seedlings (each one representing an independent transformation event) are carefully transferred to the nitrogen-limiting media. For constructs for which T2 seeds are available, different transformation events are analyzed. Usually, 20 randomly selected plants from each event are transferred to the nitrogen-limiting media allowed to grow for 3-4 additional weeks and individually weighed at the end of that period. Transgenic plants are compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS) under the same promoter or transgenic plants carrying the same promoter but lacking a reporter gene are used as control.
Nitrogen determination—The procedure for N (nitrogen) concentration determination in the structural parts of the plants involves the potassium persulfate digestion method to convert organic N to NO3− (Purcell and King 1996 Argon. J. 88:111-113, the modified Cd− mediated reduction of NO3− to NO2− (Vodovotz 1996 Biotechniques 20:390-394) and the measurement of nitrite by the Griess assay (Vodovotz 1996, supra). The absorbance values are measured at 550 nm against a standard curve of NaNO2. The procedure is described in details in Samonte et al. 2006 Agron. J. 98:168-176.
Germination tests—Germination tests compare the percentage of seeds from transgenic plants that could complete the germination process to the percentage of seeds from control plants that are treated in the same manner. Normal conditions are considered for example, incubations at 22° C. under 22-hour light 2-hour dark daily cycles. Evaluation of germination and seedling vigor is conducted between 4 and 14 days after planting. The basal media is 50% MS medium (Murashige and Skoog, 1962 Plant Physiology 15, 473-497).
Germination is checked also at unfavorable conditions such as cold (incubating at temperatures lower than 10° C. instead of 22° C.) or using seed inhibition solutions that contain high concentrations of an osmolyte such as sorbitol (at concentrations of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM, and up to 1000 mM) or applying increasing concentrations of salt (of 50 mM, 100 mM, 200 mM, 300 mM, 500 mM NaCl).
The effect of the transgene on plant's vigor, growth rate, biomass, yield and/or oil content can be determined using known methods.
Plant vigor—The plant vigor can be calculated by the increase in growth parameters such as leaf area, fiber length, rosette diameter, plant fresh weight and the like per time.
Growth rate—The growth rate can be measured using digital analysis of growing plants. For example, images of plants growing in greenhouse on plot basis can be captured every 3 days and the rosette area can be calculated by digital analysis. Rosette area growth is calculated using the difference of rosette area between days of sampling divided by the difference in days between samples.
Evaluation of growth rate can be done by measuring plant biomass produced, rosette area, leaf size or root length per time (can be measured in cm2 per day of leaf area).
Relative growth area can be calculated using Formula II.
Formula II:

Relative growth rate area=Regression coefficient of area along time course

Thus, the relative growth area rate is in units of area units (e.g., mm2/day or cm2/day) and the relative length growth rate is in units of length units (e.g., cm/day or mm/day).
For example, RGR can be determined for plant height (Formula III), SPAD (Formula IV), Number of tillers (Formula V), root length (Formula VI), vegetative growth (Formula VII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI), leaf blade area (Formula XII), and leaf area (Formula XIII).
Formula III:

Relative growth rate of Plant height=Regression coefficient of Plant height along time course (measured in cm/day).

Formula IV:

Relative growth rate of SPAD=Regression coefficient of SPAD measurements along time course.

Formula V:

Relative growth rate of Number of tillers=Regression coefficient of Number of tillers along time course (measured in units of “number of tillers/day”).

Formula VI:

Relative growth rate of root length=Regression coefficient of root length along time course (measured in cm per day).

Vegetative Growth Rate Analysis—
was calculated according to Formula VII below.
Formula VII:

Relative growth rate of vegetative growth=Regression coefficient of vegetative weight along time course (measured in grams per day).

Formula VIII:

Relative growth rate of leaf number=Regression coefficient of leaf number along time course (measured in number per day).

Formula IX:

Relative growth rate of rosette area=Regression coefficient of rosette area along time course (measured in cm2 per day).

Formula X:

Relative growth rate of rosette diameter=Regression coefficient of rosette diameter along time course (measured in cm per day).

Formula XI:

Relative growth rate of plot coverage=Regression coefficient of plot (measured in cm2 per day).

Formula XII:

Relative growth rate of leaf blade area=Regression coefficient of leaf area along time course (measured in cm2 per day).

Formula XIII:

Relative growth rate of leaf area=Regression coefficient of leaf area along time course (measured in cm2 per day).

Formula XIV:

1000 Seed Weight=number of seed in sample/sample weight×1000

The Harvest Index can be calculated using Formulas XV, XVI, XVII, XVIII and XXXVII below.
Formula XV:

Harvest Index(seed)=Average seed yield per plant/Average dry weight.

Formula XVI:

Harvest Index(Sorghum)=Average grain dry weight per Head/(Average vegetative dry weight per Head+Average Head dry weight)

Formula XVII:

Harvest Index (Maize)=Average grain weight per plant/to (Average vegetative dry weight per plant plus Average grain weight per plant)

Harvest Index (for barley)—The harvest index is calculated using Formula XVIII.
Formula XVIII:

Harvest Index(for barley and wheat)=Average spike dry weight per plant/(Average vegetative dry weight per plant+Average spike dry weight per plant)

Following is a non-limited list of additional parameters which can be detected in order to show the effect of the transgene on the desired plant's traits:
Formula XIX:

Grain circularity=4×3.14(grain area/perimeter2)

Formula XX:

internode volume=3.14×(d/2)2×1

Formula XXI:

Normalized ear weight per plant+vegetative dry weight.

Formula XXII:

Root/Shoot Ratio=total weight of the root at harvest/total weight of the vegetative portion above ground at harvest. (=RBiH/BiH)

Formula XXIII:

Ratio of the number of pods per node on main stem at pod set=Total number of pods on main stem/Total number of nodes on main stem.

Formula XXIV:

Ratio of total number of seeds in main stem to number of seeds on lateral branches=Total number of seeds on main stem at pod set/Total number of seeds on lateral branches at pod set.

Formula XXV:

Petiole Relative Area=(Petiole area)/Rosette area(measured in %).

Formula XXVI:

% reproductive tiller percentage=Number of Reproductive tillers/number of tillers)×100.

Formula XXVII:

Spikes Index=Average Spikes weight per plant/(Average vegetative dry weight per plant plus Average Spikes weight per plant).

Formula XXVIII:

Relative growth rate of root coverage=Regression coefficient of root coverage along time course.

Formula XXIX:

Seed Oil yield=Seed yield per plant(gr.)*Oil % in seed.

Formula XXX:

shoot/root Ratio=total weight of the vegetative portion above ground at harvest/total weight of the root at harvest.

Formula XXXI:

Spikelets Index=Average Spikelets weight per plant/(Average vegetative dry weight per plant plus Average Spikelets weight per plant).

Formula XXXII:

% Canopy coverage=(1−(PAR_DOWN/PAR_UP))×100.

Formula XXXIII:

leaf mass fraction=Leaf area/shoot FW. 

Formula XXXIV:

Relative growth rate based on dry weight=Regression coefficient of dry weight along time course.

Formula XXXV:

Total dry matter(for Maize)=Normalized ear weight per plant+vegetative dry weight.





  
    
      
        
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                  Yield
                  ⁢
                  
                    
                  
                  ⁢
                  per
                  ⁢
                  
                    
                  
                  ⁢
                  plant
                  ⁢
                  
                    
                  
                  ⁢
                  
                    
                      (
                      
                        Kg
                        .
                      
                      )
                    
                    
                      0
                      ⁢
                      %
                      ⁢
                      
                        
                      
                      ⁢
                      Nitrogen
                      ⁢
                      
                        
                      
                      ⁢
                      Fertilization
                    
                  
                
              
            
          
          
            Fertilizer
            X
          
        
      
    
    
      
        Formula
        ⁢
        
          
        
        ⁢
        XXXVI
      
    
  




Formula XXXVII:

Harvest Index(brachypodium)=Average grain weight/average dry(vegetative+spikelet)weight per plant.

Formula XXXVIII:

Harvest Index for Sorghum*(*when the plants were not dried)=FW(fresh weight)Heads/(FW Heads+FW Plants)

Grain fill rate [mg/day]—Rate of dry matter accumulation in grain. The grain fill rate is calculated using Formula XXXIX
Formula XXXIX:

Grain fill rate [mg/day]=[Grain weight*ear-1×1000]/[Grain number*ear−1]×Grain filling duration].

Grain protein concentration—Grain protein content (g grain protein m−2) is estimated as the product of the mass of grain N (g grain N m−2) multiplied by the N/protein conversion ratio of k-5.13 (Mosse 1990, supra). The grain protein concentration is estimated as the ratio of grain protein content per unit mass of the grain (g grain protein kg−1 grain).
Fiber length—Fiber length can be measured using fibrograph. The fibrograph system was used to compute length in terms of “Upper Half Mean” length. The upper half mean (UHM) is the average length of longer half of the fiber distribution. The fibrograph measures length in span lengths at a given percentage point (cottoninc (dot) com/ClassificationofCotton/?Pg=4#Length).
According to some embodiments of the invention, increased yield of corn may be manifested as one or more of the following: increase in the number of plants per growing area, increase in the number of ears per plant, increase in the number of rows per ear, number of kernels per ear row, kernel weight, thousand kernel weight (1000-weight), ear length/diameter, increase oil content per kernel and increase starch content per kernel.
As mentioned, the increase of plant yield can be determined by various parameters. For example, increased yield of rice may be manifested by an increase in one or more of the following: number of plants per growing area, number of panicles per plant, number of spikelets per panicle, number of flowers per panicle, increase in the seed filling rate, increase in thousand kernel weight (1000-weight), increase oil content per seed, increase starch content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.
Similarly, increased yield of soybean may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, increase protein content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.
Increased yield of canola may be manifested by an increase in one or more of the following: number of plants per growing area, number of pods per plant, number of seeds per pod, increase in the seed filling rate, increase in thousand seed weight (1000-weight), reduce pod shattering, increase oil content per seed, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.
Increased yield of cotton may be manifested by an increase in one or more of the following: number of plants per growing area, number of bolls per plant, number of seeds per boll, increase in the seed filling rate, increase in thousand seed weight (1000-weight), increase oil content per seed, improve fiber length, fiber strength, among others. An increase in yield may also result in modified architecture, or may occur because of modified architecture.
Oil content—The oil content of a plant can be determined by extraction of the oil from the seed or the vegetative portion of the plant. Briefly, lipids (oil) can be removed from the plant (e.g., seed) by grinding the plant tissue in the presence of specific solvents (e.g., hexane or petroleum ether) and extracting the oil in a continuous extractor. Indirect oil content analysis can be carried out using various known methods such as Nuclear Magnetic Resonance (NMR) Spectroscopy, which measures the resonance energy absorbed by hydrogen atoms in the liquid state of the sample [See for example, Conway T F. and Earle F R., 1963, Journal of the American Oil Chemists' Society; Springer Berlin/Heidelberg, ISSN: 0003-021X (Print) 1558-9331 (Online)]; the Near Infrared (NI) Spectroscopy, which utilizes the absorption of near infrared energy (1100-2500 nm) by the sample; and a method described in WO/2001/023884, which is based on extracting oil a solvent, evaporating the solvent in a gas stream which forms oil particles, and directing a light into the gas stream and oil particles which forms a detectable reflected light.
Thus, the present invention is of high agricultural value for promoting the yield of commercially desired crops (e.g., biomass of vegetative organ such as poplar wood, or reproductive organ such as number of seeds or seed biomass).
Any of the transgenic plants described hereinabove or parts thereof may be processed to produce a feed, meal, protein or oil preparation, such as for ruminant animals.
The transgenic plants described hereinabove, which exhibit an increased oil content can be used to produce plant oil (by extracting the oil from the plant).
The plant oil (including the seed oil and/or the vegetative portion oil) produced according to the method of the invention may be combined with a variety of other ingredients. The specific ingredients included in a product are determined according to the intended use. Exemplary products include animal feed, raw material for chemical modification, biodegradable plastic, blended food product, edible oil, biofuel, cooking oil, lubricant, biodiesel, snack food, cosmetics, and fermentation process raw material. Exemplary products to be incorporated to the plant oil include animal feeds, human food products such as extruded snack foods, breads, as a food binding agent, aquaculture feeds, fermentable mixtures, food supplements, sport drinks, nutritional food bars, multi-vitamin supplements, diet drinks, and cereal foods. According to some embodiments of the invention, the oil comprises a seed oil.
According to some embodiments of the invention, the oil comprises a vegetative portion oil (oil of the vegetative portion of the plant).
According to some embodiments of the invention, the plant cell forms a part of a plant.
According to another embodiment of the present invention, there is provided a food or feed comprising the plants or a portion thereof of the present invention.
As used herein the term “about” refers to ±10%.
The terms “comprises”, “comprising”, “includes”, “including”, “having” and their conjugates mean “including but not limited to”.
The term “consisting of” means “including and limited to”.
The term “consisting essentially of” means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.
As used herein, the singular form “a”, “an” and “the” include plural references unless the context clearly dictates otherwise. For example, the term “a compound” or “at least one compound” may include a plurality of compounds, including mixtures thereof.
Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.
Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases “ranging/ranges between” a first indicate number and a second indicate number and “ranging/ranges from” a first indicate number “to” a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.
As used herein the term “method” refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.
When reference is made to particular sequence listings, such reference is to be understood to also encompass sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides.
It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements.
Various embodiments and aspects of the present invention as delineated hereinabove and as claimed in the claims section below find experimental support in the following examples.
EXAMPLES
Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.
Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, “Molecular Cloning: A laboratory Manual” Sambrook et al., (1989); “Current Protocols in Molecular Biology” Volumes I-III Ausubel, R. M., ed. (1994); Ausubel et al., “Current Protocols in Molecular Biology”, John Wiley and Sons, Baltimore, Md. (1989); Perbal, “A Practical Guide to Molecular Cloning”, John Wiley & Sons, New York (1988); Watson et al., “Recombinant DNA”, Scientific American Books, New York; Birren et al. (eds) “Genome Analysis: A Laboratory Manual Series”, Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; “Cell Biology: A Laboratory Handbook”, Volumes I-III Cellis, J. E., ed. (1994); “Current Protocols in Immunology” Volumes I-III Coligan J. E., ed. (1994); Stites et al. (eds), “Basic and Clinical Immunology” (8th Edition), Appleton & Lange, Norwalk, Conn. (1994); Mishell and Shiigi (eds), “Selected Methods in Cellular Immunology”, W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; “Oligonucleotide Synthesis” Gait, M. J., ed. (1984); “Nucleic Acid Hybridization” Hames, B. D., and Higgins S. J., eds. (1985); “Transcription and Translation” Hames, B. D., and Higgins S. J., Eds. (1984); “Animal Cell Culture” Freshney, R. I., ed. (1986); “Immobilized Cells and Enzymes” IRL Press, (1986); “A Practical Guide to Molecular Cloning” Perbal, B., (1984) and “Methods in Enzymology” Vol. 1-317, Academic Press; “PCR Protocols: A Guide To Methods And Applications”, Academic Press, San Diego, Calif. (1990); Marshak et al., “Strategies for Protein Purification and Characterization—A Laboratory Course Manual” CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.
General Experimental and Bioinformatics Methods
RNA extraction—Tissues growing at various growth conditions (as described below) were sampled and RNA was extracted using TRIzol Reagent from Invitrogen [invitrogen (dot) com/content (dot)cfm?pageid=469]. Approximately 30-50 mg of tissue was taken from samples. The weighed tissues were ground using pestle and mortar in liquid nitrogen and resuspended in 500 μl of TRIzol Reagent. To the homogenized lysate, 100 μl of chloroform was added followed by precipitation using isopropanol and two washes with 75% ethanol. The RNA was eluted in 30 μl of RNase-free water. RNA samples were cleaned up using Qiagen's RNeasy minikit clean-up protocol as per the manufacturer's protocol (QIAGEN Inc, CA USA). For convenience, each micro-array expression information tissue type has received an expression Set ID.
Correlation analysis—was performed for selected genes according to some embodiments of the invention, in which the characterized parameters (measured parameters according to the correlation IDs) were used as “x axis” for correlation with the tissue transcriptome which was used as the “Y axis”. For each gene and measured parameter a correlation coefficient “R” was calculated (using Pearson correlation) along with a p-value for the significance of the correlation. When the correlation coefficient (R) between the levels of a gene's expression in a certain tissue and a phenotypic performance across ecotypes/variety/hybrid is high in absolute value (between 0.5-1), there is an association between the gene (specifically the expression level of this gene) the phenotypic characteristic (e.g., improved nitrogen use efficiency, abiotic stress tolerance, yield, growth rate and the like).
Example 1
Identifying Genes which Increase Nitrogen Use Efficiency (Nue), Fertilizer Use Efficiency (Fue), Yield, Growth Rate, Vigor, Biomass, Oil Content, Abiotic Stress Tolerance (Abst) and/or Water Use Efficiency (Wue) in Plants
The present inventors have identified polynucleotides which upregulation of expression thereof in plants increases nitrogen use efficiency (NUE), fertilizer use efficiency (FUE), yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance (ABST) and/or water use efficiency (WUE) of a plant.
All nucleotide sequence datasets used here were originated from publicly available databases or from performing sequencing using the Solexa technology (e.g. Barley and Sorghum). Sequence data from 100 different plant species was introduced into a single, comprehensive database. Other information on gene expression, protein annotation, enzymes and pathways were also incorporated. Major databases used include:
Genomes
Arabidopsis genome [TAIR genome version 6 (arabidopsis (dot) org/)]
Rice genome [IRGSP build 4.0 (rgp (dot) dna (dot) affrc (dot) go (dot) jp/IRGSP/)].
Poplar [Populus trichocarpa release 1.1 from JGI (assembly release v1.0) (genome (dot) jgi-psf (dot) org/)]
Brachypodium [JGI 4× assembly, brachpodium (dot) org)]
Soybean [DOE-JGI SCP, versions Glyma0 or Glyma1 (phytozome (dot) net/)]
Grape [French-Italian Public Consortium for Grapevine Genome Characterization grapevine genome (genoscope (dot) cns (dot) fr/)]
Castobean [TIGR/J Craig Venter Institute 4× assembly Rmsc (dot) jcvi (dot) org/r_communis]
Sorghum [DOE-JGI SCP, version Sbi1 [phytozome (dot) net/)].
Maize [maizesequence (dot) org/]
Cucumber [cucumber (dot) genomics (dot) org (dot) cn/page/cucumber/index
(dot) jsp]
Tomato [solgenomics (dot) net/tomato/]
Cassava [phytozome (dot) net/cassava (dot) php]
Expressed EST and mRNA Sequences were Extracted from the Following Databases:
GenBank (ncbi (dot) nlm (dot) nih (dot) gov/Genbank/).
RefSeq (ncbi (dot) nlm (dot) nih (dot) gov/RefSeq/).
TAIR (arabidopsis (dot) org/).
Protein and Pathway Databases
Uniprot [uniprot (dot) org/].
AraCyc [arabidopsis (dot) org/biocyc/index (dot) jsp].
ENZYME [expasy (dot) org/enzyme/].
Microarray Datasets were Downloaded from:
GEO (ncbi (dot) nlm(dot) nih (dot) gov/geo/)
TAIR (arabidopsis(dot) org/).
Proprietary micro-array data (See WO2008/122980 and Examples 3-13 below).
QTL and SNPs Information
Gramene [gramene (dot) org/qt1/].
Panzea [panzea (dot) org/index (dot) html].
Soybean QTL: [soybeanbreederstoolbox(dot) com/].
Database Assembly—was performed to build a wide, rich, reliable annotated and easy to analyze database comprised of publicly available genomic mRNA, ESTs DNA sequences, data from various crops as well as gene expression, protein annotation and pathway, QTLs data, and other relevant information.
Database assembly is comprised of a toolbox of gene refining, structuring, annotation and analysis tools enabling to construct a tailored database for each gene discovery project. Gene refining and structuring tools enable to reliably detect splice variants and antisense transcripts, generating understanding of various potential phenotypic outcomes of a single gene. The capabilities of the “LEADS” platform of Compugen LTD for analyzing human genome have been confirmed and accepted by the scientific community [see e.g., “Widespread Antisense Transcription”, Yelin, et al. (2003) Nature Biotechnology 21, 379-85; “Splicing of Alu Sequences”, Lev-Maor, et al. (2003) Science 300 (5623), 1288-91; “Computational analysis of alternative splicing using EST tissue information”, Xie H et al. Genomics 2002], and have been proven most efficient in plant genomics as well.
EST clustering and gene assembly—For gene clustering and assembly of organisms with available genome sequence data (arabidopsis, rice, castorbean, grape, brachypodium, poplar, soybean, sorghum) the genomic LEADS version (GANG) was employed. This tool allows most accurate clustering of ESTs and mRNA sequences on genome, and predicts gene structure as well as alternative splicing events and anti-sense transcription.
For organisms with no available full genome sequence data, “expressed LEADS” clustering software was applied.
Gene annotation—Predicted genes and proteins were annotated as follows:
Sequences blast search [blast (dot) ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] against all plant UniProt [uniprot (dot) org/] was performed. Open reading frames of each putative transcript were analyzed and longest ORF with higher number of homologues was selected as predicted protein of the transcript. The predicted proteins were analyzed by InterPro [ebi (dot) ac (dot) uk/interpro/].
Blast against proteins from AraCyc and ENZYME databases was used to map the predicted transcripts to AraCyc pathways.
Predicted proteins from different species were compared using blast algorithm [ncbi (dot) nlm (dot) nih (dot) gov/Blast (dot) cgi] to validate the accuracy of the predicted protein sequence, and for efficient detection of orthologs.
Gene expression profiling—Several data sources were exploited for gene expression profiling, namely microarray data and digital expression profile (see below). According to gene expression profile, a correlation analysis was performed to identify genes which are co-regulated under different development stages and environmental conditions and associated with different phenotypes.
Publicly available microarray datasets were downloaded from TAIR and NCBI GEO sites, renormalized, and integrated into the database. Expression profiling is one of the most important resource data for identifying genes important for yield.
A digital expression profile summary was compiled for each cluster according to all keywords included in the sequence records comprising the cluster. Digital expression, also known as electronic Northern Blot, is a tool that displays virtual expression profile based on the EST sequences forming the gene cluster. The tool provides the expression profile of a cluster in terms of plant anatomy (e.g., the tissue/organ in which the gene is expressed), developmental stage (the developmental stages at which a gene can be found) and profile of treatment (provides the physiological conditions under which a gene is expressed such as drought, cold, pathogen infection, etc). Given a random distribution of ESTs in the different clusters, the digital expression provides a probability value that describes the probability of a cluster having a total of N ESTs to contain X ESTs from a certain collection of libraries. For the probability calculations, the following is taken into consideration: a) the number of ESTs in the cluster, b) the number of ESTs of the implicated and related libraries, c) the overall number of ESTs available representing the species. Thereby clusters with low probability values are highly enriched with ESTs from the group of libraries of interest indicating a specialized expression.
Recently, the accuracy of this system was demonstrated by Portnoy et al., 2009 (Analysis Of The Melon Fruit Transcriptome Based On 454 Pyrosequencing) in: Plant & Animal Genomes XVII Conference, San Diego, Calif. Transcriptomeic analysis, based on relative EST abundance in data was performed by 454 pyrosequencing of cDNA representing mRNA of the melon fruit. Fourteen double strand cDNA samples obtained from two genotypes, two fruit tissues (flesh and rind) and four developmental stages were sequenced. GS FLX pyrosequencing (Roche/454 Life Sciences) of non-normalized and purified cDNA samples yielded 1,150,657 expressed sequence tags (ESTs) that assembled into 67,477 unigenes (32,357 singletons and 35,120 contigs). Analysis of the data obtained against the Cucurbit Genomics Database [icugi (dot) org/] confirmed the accuracy of the sequencing and assembly. Expression patterns of selected genes fitted well their qRT-PCR data.
Overall, 95 genes were identified to have a major impact on nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency when expression thereof is increased in plants. The identified genes, their curated polynucleotide and polypeptide sequences, as well as their updated sequences according to GenBank database are summarized in Table 1, hereinbelow.







TABLE 1







Identified polynucleotides for increasing nitrogen use efficiency, fertilizer use


efficiency, yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality,


fiber length, abiotic stress tolerance and/or water use efficiency of a plant














Polyn. SEQ
Polyp. SEQ


Gene Name
Cluster Name
Organism
ID NO:
ID NO:














WNU1
foxtail_millet|11v3|
foxtail_millet
1
202



PHY7SI037360M





WNU2
sorghum|12v1|SB02G035890
sorghum
2
203


WNU3
sorghum|12v1|SB03G037360
sorghum
3
204


WNU5
arabidopsis|10v1|AT1G76520
arabidopsis
4
205


WNU6
arabidopsis|10v1|AT2G41310
arabidopsis
5
206


WNU7
arabidopsis|10v1|AT5G64550
arabidopsis
6
207


WNU8
barley|10v2|AJ234434
barley
7
208


WNU9
barley|10v2|AJ467179
barley
8
209


WNU10
barley|10v2|AV835513
barley
9
210


WNU11
barley|10v2|BE195092
barley
10
211


WNU12
barley|10v2|BE216643
barley
11
212


WNU13
barley|10v2|BE412689
barley
12
213


WNU14
barley|10v2|BE412739
barley
13
214


WNU15
barley|10v2|BE413497
barley
14
215


WNU16
barley|10v2|BE413575
barley
15
216


WNU17
barley|10v2|BE420881
barley
16
217


WNU18
barley|10v2|BE421902
barley
17
218


WNU19
barley|10v2|BE438925
barley
18
219


WNU20
barley|10v2|BE455654
barley
19
220


WNU21
barley|10v2|BF260947
barley
20
221


WNU22
barley|10v2|BF263283
barley
21
222


WNU23
barley|10v2|BF617606
barley
22
223


WNU25
barley|10v2|BF623217
barley
23
224


WNU26
barley|10v2|BF623477
barley
24
225


WNU27
barley|10v2|BF626052
barley
25
226


WNU28
barley|10v2|BI778944
barley
26
227


WNU29
barley|10v2|BI947135
barley
27
228


WNU30
barley|10v2|BI947599
barley
28
229


WNU31
barley|10v2|BI950946
barley
29
230


WNU32
barley|10v2|BJ464604
barley
30
231


WNU33
barley|10v2|BQ458968
barley
31
232


WNU34
barley|12v1|AV835440
barley
32
233


WNU35
barley|12v1|BE196061
barley
33
234


WNU36
barley|12v1|BE412448
barley
34
235


WNU37
barley|12v1|BE455619
barley
35
236


WNU38
barley|12v1|BF257030
barley
36
237


WNU39
barley|12v1|BF260630
barley
37
238


WNU40
barley|12v1|BF622946
barley
38
239


WNU41
barley|12v1|BI957485
barley
39
240


WNU42
barley|12v1|BI958608
barley
40
241


WNU43
barley|12v1|BM370758
barley
41
242


WNU44
barley|12v1|BM376567
barley
42
243


WNU45
brachypodium|12v1|BRADI1G03390
brachypodium
43
244


WNU46
brachypodium|12v1|BRADI1G59650
brachypodium
44
245


WNU47
brachypodium|12v1|BRADI1G67410
brachypodium
45
246


WNU49
brachypodium|12v1|BRADI2G19790
brachypodium
46
247


WNU50
brachypodium|12v1|BRADI2G36910
brachypodium
47
248


WNU51
brachypodium|12v1|BRADI2G45450
brachypodium
48
249


WNU52
brachypodium|12v1|BRADI2G54400
brachypodium
49
250


WNU53
foxtail_millet|11v3|EC612057
foxtail_millet
50
251


WNU54
foxtail_millet|11v3|EC613339
foxtail_millet
51
252


WNU55
foxtail_millet|11v3|EC613521
foxtail_millet
52
253


WNU56
foxtail_millet|11v3|EC613638
foxtail_millet
53
254


WNU57
foxtail_millet|11v3|EC613764
foxtail_millet
54
255


WNU58
foxtail_millet|11v3|PHY7SI002694M
foxtail_millet
55
256


WNU60
foxtail_millet|11v3|PHY7SI004807M
foxtail_millet
56
257


WNU61
foxtail_millet|11v3|PHY7SI006776M
foxtail_millet
57
258


WNU63
foxtail_millet|11v3|PHY7SI010781M
foxtail_millet
58
259


WNU65
foxtail_millet|11v3|PHY7SI011960M
foxtail_millet
59
260


WNU66
foxtail_millet|11v3|PHY7SI016756M
foxtail_millet
60
261


WNU67
foxtail_millet|11v3|PHY7SI016983M
foxtail_millet
61
262


WNU68
foxtail_millet|11v3|PHY7SI018426M
foxtail_millet
62
263


WNU69
foxtail_millet|11v3|PHY7SI020976M
foxtail_millet
63
264


WNU70
foxtail_millet|11v3|PHY7SI021004M
foxtail_millet
64
265


WNU71
foxtail_millet|11v3|PHY7SI029993M
foxtail_millet
65
266


WNU72
foxtail_millet|11v3|PHY7SI035252M
foxtail_millet
66
267


WNU73
foxtail_millet|11v3|PHY7SI035778M
foxtail_millet
67
268


WNU74
foxtail_millet|11v3|PHY7SI036478M
foxtail_millet
68
269


WNU75
maize|10v1|AI629766
maize
69
270


WNU76
maize|10v1|AI947957
maize
70
271


WNU77
maize|10v1|AI948358
maize
71
272


WNU78
maize|10v1|AI966985
maize
72
273


WNU80
maize|10v1|AW053253
maize
73
274


WNU81
maize|10v1|AW225099
maize
74
275


WNU82
maize|10v1|BI643478
maize
75
276


WNU83
maize|10v1|BM379051
maize
76
277


WNU85
rice|11v1|BI804924
rice
77
278


WNU87
rice|11v1|OSU77294
rice
78
279


WNU90
sorghum|12v1|EVOER2582
sorghum
79
280


WNU91
sorghum|12v1|SB01G005000
sorghum
80
281


WNU92
sorghum|12v1|SB01G028940
sorghum
81
282


WNU93
sorghum|12v1|SB03G008180
sorghum
82
283


WNU94
sorghum|12v1|SB03G034010
sorghum
83
284


WNU96
sorghum|12v1|SB04G004680
sorghum
84
285


WNU97
sorghum|12v1|SB04G009980
sorghum
85
286


WNU98
sorghum|12v1|SB04G026160
sorghum
86
287


WNU99
sorghum|12v1|SB09G000320
sorghum
87
288


WNU100
sorghum|12v1|SB09G018070P1
sorghum
88
289


WNU101
sorghum|12v1|SB10G007680
sorghum
89
290


WNU102
wheat|10v2|BE415420
wheat
90
291


WNU103
wheat|12v1|BM140581
wheat
91
292


WNU104
maize|10v1|AW308714
maize
92
293


WNU105
sorghum|12v1|SB02G031390
sorghum
93
294


WNU103_H11
rice|11v1|AA749605
rice
94
295


WNU22_H1
wheat|12v3|BE585479
wheat
95
296


WNU1
foxtail_millet|11v3|PHY7SI037360M
foxtail_millet
96
297


WNU10
barley|10v2|AV835513
barley
97
298


WNU12
barley|10v2|BE216643
barley
98
299


WNU22
barley|10v2|BF263283
barley
99
300


WNU36
barley|12v1|BE412448
barley
100
301


WNU41
barley|12v1|BI957485
barley
101
302


WNU42
barley|12v1|BI958608
barley
102
241


WNU45
brachypodium|12v1|BRADI1G03390
brachypodium
103
244


WNU51
brachypodium|12v1|BRADI2G45450
brachypodium
104
249


WNU60
foxtail_millet|11v3|PHY7SI004807M
foxtail millet
105
257


WNU61
foxtail_millet|11v3|PHY7SI006776M
foxtail millet
106
303


WNU65
foxtail_millet|11v3|PHY7SI011960M
foxtail millet
107
260


WNU67
foxtail_millet|11v3|PHY7SI016983M 
foxtail millet
108
262


WNU90
sorghum|12v1|EVOER2582
sorghum
109
304


WNU103_H11
rice|11v1|AA749605
rice
110
295


WNU22_H1
wheat|12v3|BE585479
wheat
111
296


WNU1
foxtail_millet|11v3|PHY7SI037360M
foxtail millet
112
202


WNU2
sorghum|12v1|SB02G035890
sorghum
113
203


WNU3
sorghum|12v1|SB03G037360
sorghum
114
204


WNU5
arabidopsis|10v1|AT1G76520
arabidopsis
115
205


WNU6
arabidopsis|10v1|AT2G41310
arabidopsis
116
206


WNU7
arabidopsis|10v1|AT5G64550
arabidopsis
117
207


WNU8
barley|10v2|AJ234434
barley
118
208


WNU9
barley|10v2|AJ467179
barley
119
209


WNU11
barley|10v2|BE195092
barley
120
211


WNU12
barley|10v2|BE216643
barley
121
305


WNU13
barley|10v2|BE412689
barley
122
213


WNU14
barley|10v2|BE412739
barley
123
306


WNU15
barley|10v2|BE413497
barley
124
215


WNU16
barley|10v2|BE413575
barley
125
216


WNU17
barley|10v2|BE420881
barley
126
217


WNU18
barley|10v2|BE421902
barley
127
218


WNU19
barley|10v2|BE438925
barley
128
219


WNU20
barley|10v2|BE455654
barley
129
220


WNU21
barley|10v2|BF260947
barley
130
307


WNU23
barley|10v2|BF617606
barley
131
223


WNU25
barley|10v2|BF623217
barley
132
224


WNU26
barley|10v2|BF623477
barley
133
225


WNU27
barley|10v2|BF626052
barley
134
308


WNU28
barley|10v2|BI778944
barley
135
309


WNU29
barley|10v2|BI947135
barley
136
228


WNU30
barley|10v2|BI947599
barley
137
229


WNU31
barley|10v2|BI950946
barley
138
230


WNU32
barley|10v2|BJ464604
barley
139
231


WNU33
barley|10v2|BQ458968
barley
140
232


WNU34
barley|12v1|AV835440
barley
141
310


WNU35
barley|12v1|BE196061
barley
142
234


WNU37
barley|12v1|BE455619
barley
143
311


WNU38
barley|12v1|BF257030
barley
144
237


WNU39
barley|12v1|BF260630
barley
145
238


WNU40
barley|12v1|BF622946
barley
146
239


WNU41
barley|12v1|BI957485
barley
147
312


WNU42
barley|12v1|BI958608
barley
148
241


WNU43
barley|12v1|BM370758
barley
149
242


WNU44
barley|12v1|BM376567
barley
150
243


WNU45
brachypodium|12v1|BRADI1G03390
brachypodium
151
244


WNU46
brachypodium|12v1|BRADI1G59650
brachypodium
152
245


WNU47
brachypodium|12v1|BRADI1G67410
brachypodium
153
246


WNU49
brachypodium|12v1|BRADI2G19790
brachypodium
154
247


WNU50
brachypodium|12v1|BRADI2G36910
brachypodium
155
313


WNU51
brachypodium|12v1|BRADI2G45450
brachypodium
156
314


WNU52
brachypodium|12v1|BRADI2G54400
brachypodium
157
250


WNU54
foxtail_millet|11v3|EC613339
foxtail_millet
158
252


WNU55
foxtail_millet|11v3|EC613521
foxtail_millet
159
253


WNU56
foxtail_millet|11v3|EC613638
foxtail_millet
160
254


WNU57
foxtail_millet|11v3|EC613764
foxtail_millet
161
255


WNU58
foxtail_millet|11v3|PHY7SI002694M
foxtail_millet
162
256


WNU60
foxtail_millet|11v3|PHY7SI004807M
foxtail_millet
163
257


WNU61
foxtail_millet|11v3|PHY7SI006776M
foxtail_millet
164
315


WNU63
foxtail_millet|11v3|PHY7SI010781M
foxtail_millet
165
316


WNU65
foxtail_millet|11v3|PHY7SI011960M
foxtail_millet
166
260


WNU66
foxtail_millet|11v3|PHY7SI016756M
foxtail_millet
167
261


WNU67
foxtail_millet|11v3|PHY7SI016983M
foxtail_millet
168
262


WNU68
foxtail_millet|11v3|PHY7SI018426M
foxtail_millet
169
263


WNU69
foxtail_millet|11v3|PHY7SI020976M
foxtail_millet
170
264


WNU70
foxtail_millet|11v3|PHY7SI021004M
foxtail_millet
171
265


WNU71
foxtail_millet|11v3|PHY7SI029993M
foxtail_millet
172
266


WNU72
foxtail_millet|11v3|PHY7SI035252M 
foxtail_millet
173
267


WNU73
foxtail_millet|11v3|PHY7SI035778M
foxtail_millet
174
268


WNU74
foxtail_millet|11v3|PHY7SI036478M
foxtail_millet
175
317


WNU75
maize|10v1|AI629766
maize
176
270


WNU76
maize|10v1|AI947957
maize
177
318


WNU77
maize|10v1|AI948358
maize
178
272


WNU78
maize|10v1|AI966985
maize
179
319


WNU80
maize|10v1|AW053253
maize
180
320


WNU81
maize|10v1|AW225099
maize
181
321


WNU82
maize|10v1|BI643478
maize
182
322


WNU83
maize|10v1|BM379051
maize
183
323


WNU85
rice|11v1|BI804924
rice
184
324


WNU87
rice|11v1|OSU77294
rice
185
279


WNU90
sorghum|12v1|EVOER2582 
sorghum
186
280


WNU91
sorghum|12 v1|SB01G005000
sorghum
187
281


WNU92
sorghum|12v1|SB01G028940
sorghum
188
282


WNU93
sorghum|12v1|SB03G008180
sorghum
189
283


WNU94
sorghum|12v1|SB03G034010
sorghum
190
284


WNU96
sorghum|12v1|SB04G004680
sorghum
191
285


WNU97
sorghum|12v1|SB04G009980
sorghum
192
286


WNU98
sorghum|12v1|SB04G026160
sorghum
193
325


WNU99
sorghum|12v1|SB09G000320
sorghum
194
326


WNU100
sorghum|12v1|SB09G018070P1
sorghum
195
289


WNU101
sorghum|12v1|SB10G007680
sorghum
196
290


WNU102
wheat|10v2|BE415420
wheat
197
291


WNU104
maize|10v1|AW308714
maize
198
293


WNU105
sorghum|12v1|SB02G031390
sorghum
199
294


WNU103_H11
rice|11v1|AA749605
rice
200
295


WNU22_H1
wheat|12v3|BE585479
wheat
201
327





Table 1.


“Polyp.” = polypeptide;


“Polyn.”—Polynucleotide.






Example 2
Identification of Homologous Sequences that Increase Nitrogen Use Efficiency, Fertilizer Use Efficiency, Yield, Growth Rate, Vigor, Biomass, Oil Content, Abiotic Stress Tolerance and/or Water Use Efficiency in Plants
The concepts of orthology and paralogy have recently been applied to functional characterizations and classifications on the scale of whole-genome comparisons. Orthologs and paralogs constitute two major types of homologs: The first evolved from a common ancestor by specialization, and the latter is related by duplication events. It is assumed that paralogs arising from ancient duplication events are likely to have diverged in function while true orthologs are more likely to retain identical function over evolutionary time.
To further investigate and identify putative orthologs of the genes affecting nitrogen use efficiency, fertilizer use efficiency, yield (e.g., seed yield, oil yield, grain quantity and/or quality), growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency, all sequences were aligned using the BLAST (/Basic Local Alignment Search Tool/). Sequences sufficiently similar were tentatively grouped. These putative orthologs were further organized under a Phylogram—a branching diagram (tree) assumed to be a representation of the evolutionary relationships among the biological taxa. Putative ortholog groups were analyzed as to their agreement with the phylogram and in cases of disagreements these ortholog groups were broken accordingly. Expression data was analyzed and the EST libraries were classified using a fixed vocabulary of custom terms such as developmental stages (e.g., genes showing similar expression profile through development with up regulation at specific stage, such as at the seed filling stage) and/or plant organ (e.g., genes showing similar expression profile across their organs with up regulation at specific organs such as seed). The annotations from all the ESTs clustered to a gene were analyzed statistically by comparing their frequency in the cluster versus their abundance in the database, allowing the construction of a numeric and graphic expression profile of that gene, which is termed “digital expression”. The rationale of using these two complementary methods with methods of phenotypic association studies of QTLs, SNPs and phenotype expression correlation is based on the assumption that true orthologs are likely to retain identical function over evolutionary time. These methods provide different sets of indications on function similarities between two homologous genes, similarities in the sequence level—identical amino acids in the protein domains and similarity in expression profiles.
The search and identification of homologous genes involves the screening of sequence information available, for example, in public databases, which include but are not limited to the DNA Database of Japan (DDBJ), Genbank, and the European Molecular Biology Laboratory Nucleic Acid Sequence Database (EMBL) or versions thereof or the MIPS database. A number of different search algorithms have been developed, including but not limited to the suite of programs referred to as BLAST programs. There are five implementations of BLAST, three designed for nucleotide sequence queries (BLASTN, BLASTX, and TBLASTX) and two designed for protein sequence queries (BLASTP and TBLASTN) (Coulson, Trends in Biotechnology: 76-80, 1994; Birren et al., Genome Analysis, I: 543, 1997). Such methods involve alignment and comparison of sequences. The BLAST algorithm calculates percent sequence identity and performs a statistical analysis of the similarity between the two sequences. The software for performing BLAST analysis is publicly available through the National Centre for Biotechnology Information. Other such software or algorithms are GAP, BESTFIT, FASTA and TFASTA. GAP uses the algorithm of Needleman and Wunsch (J. Mol. Biol. 48: 443-453, 1970) to find the alignment of two complete sequences that maximizes the number of matches and minimizes the number of gaps.
The homologous genes may belong to the same gene family. The analysis of a gene family may be carried out using sequence similarity analysis. To perform this analysis one may use standard programs for multiple alignments e.g. Clustal W. A neighbor-joining tree of the proteins homologous to the genes of some embodiments of the invention may be used to provide an overview of structural and ancestral relationships. Sequence identity may be calculated using an alignment program as described above. It is expected that other plants will carry a similar functional gene (orthologue) or a family of similar genes and those genes will provide the same preferred phenotype as the genes presented here. Advantageously, these family members may be useful in the methods of some embodiments of the invention. Example of other plants include, but not limited to, barley (Hordeum vulgare), Arabidopsis (Arabidopsis thaliana), maize (Zea mays), cotton (Gossypium), Oilseed rape (Brassica napus), Rice (Oryza sativa), Sugar cane (Saccharum officinarum), Sorghum (Sorghum bicolor), Soybean (Glycine max), Sunflower (Helianthus annuus), Tomato (Lycopersicon esculentum) and Wheat (Triticum aestivum)
The above-mentioned analyses for sequence homology is preferably carried out on a full-length sequence, but may also be based on a comparison of certain regions such as conserved domains. The identification of such domains, would also be well within the realm of the person skilled in the art and would involve, for example, a computer readable format of the nucleic acids of some embodiments of the invention, the use of alignment software programs and the use of publicly available information on protein domains, conserved motifs and boxes. This information is available in the PRODOM (biochem (dot) ucl (dot) ac (dot) uk/bsm/dbbrowser/protocol/prodomqry (dot) html), PIR (pir (dot) Georgetown (dot) edu/) or Pfam (sanger (dot) ac (dot) uk/Software/Pfam/) database. Sequence analysis programs designed for motif searching may be used for identification of fragments, regions and conserved domains as mentioned above. Preferred computer programs include, but are not limited to, MEME, SIGNALSCAN, and GENESCAN.
A person skilled in the art may use the homologous sequences provided herein to find similar sequences in other species and other organisms. Homologues of a protein encompass, peptides, oligopeptides, polypeptides, proteins and enzymes having amino acid substitutions, deletions and/or insertions relative to the unmodified protein in question and having similar biological and functional activity as the unmodified protein from which they are derived. To produce such homologues, amino acids of the protein may be replaced by other amino acids having similar properties (conservative changes, such as similar hydrophobicity, hydrophilicity, antigenicity, propensity to form or break a-helical structures or 3-sheet structures). Conservative substitution Tables are well known in the art [see for example Creighton (1984) Proteins. W.H. Freeman and Company]. Homologues of a nucleic acid encompass nucleic acids having nucleotide substitutions, deletions and/or insertions relative to the unmodified nucleic acid in question and having similar biological and functional activity as the unmodified nucleic acid from which they are derived.
Polynucleotides and polypeptides with significant homology to the identified genes described in Table 1 (Example 1 above) were identified from the databases using BLAST software with the Blastp and tBlastn algorithms as filters for the first stage, and the needle (EMBOSS package) or Frame+ algorithm alignment for the second stage. Local identity (Blast alignments) was defined with a very permissive cutoff—60% Identity on a span of 60% of the sequences lengths because it is used only as a filter for the global alignment stage. The default filtering of the Blast package was not utilized (by setting the parameter “−F F”).
In the second stage, homologs were defined based on a global identity of at least 80% to the core gene polypeptide sequence.
Two distinct forms for finding the optimal global alignment for protein or nucleotide sequences were used in this application:
1. Between two proteins (following the blastp filter):
EMBOSS-6.0.1 Needleman-Wunsch algorithm with the following modified parameters: gapopen=8 gapextend=2. The rest of the parameters were unchanged from the default options described hereinabove.
2. Between a protein sequence and a nucleotide sequence (following the tblastn filter):
GenCore 6.0 OneModel application utilizing the Frame+ algorithm with the following parameters: model=frame+_p2n.model mode=qglobal -q=protein. sequence -db=nucleotide.sequence. The rest of the parameters were unchanged from the default options described hereinabove.
The query polypeptide sequences were SEQ ID NOs: 202-327 and the query polynucleotides were SEQ ID NOs: 1-201, and the identified orthologous and homologous sequences having at least 80% global sequence identity are provided in Table 2, below. These homologous (e.g., orthologues) genes are expected to increase plant's nitrogen use efficiency (NUE), yield, seed yield, oil yield, oil content, growth rate, fiber yield, fiber quality, photosynthetic capacity, biomass, vigor, and/or abiotic stress tolerance (ABST).







TABLE 2







Homologues (e.g., orthologues) of the identified genes/polypeptides for increasing


nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor,


biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance


and/or water use efficiency of a plant

















Hom.






Polyn.
Polyp.
to




SEQ
SEQ
SEQ
%




ID
ID
ID
glob.


Hom. Name
Organism/cluster name
NO:
NO:
NO:
Ident.
Algor.
















WNU2_H1
maize|10v1|CD434995_T1
328
4063
203
87.9
glotblastn


WNU2_H2
brachypodium|12v1|BRADI1G25187_T1
329
4064
203
84.3
glotblastn


WNU2_H3
rice|11v1|AU066228
330
4065
203
84.3
globlastp


WNU2_H4
wheat|12v3|BE445814
331
4066
203
82.2
glotblastn


WNU2_H5
brachypodium|12v1|BRADI1G25200_P1
332
4067
203
81.9
globlastp


WNU2_H6
rye|12v1|DRR001012.123320
333
4068
203
80
globlastp


WNU3_H1
sugarcane|10v1|CA070079
334
4069
204
98.3
globlastp


WNU3_H2
maize|10v1|AW066630_P1
335
4070
204
96.7
globlastp


WNU3_H3
maize|10v1|AW360637_P1
336
4071
204
96.7
globlastp


WNU3_H4
foxtail_millet|11v3|PHY7SI001983M_P1
337
4072
204
96.4
globlastp


WNU3_H5
foxtail_millet|11v3|SICRP017558_P1
338
4072
204
96.4
globlastp


WNU3_H34
switchgrass|12v1|DN146112_P1
339
4073
204
95.6
globlastp


WNU3_H6
switchgrass|gb167|DN146112
340
4073
204
95.6
globlastp


WNU3_H7
rice|11v1|AB117888
341
4074
204
92.8
glotblastn


WNU3_H8
rice|11v1|CF954746
342
4075
204
92.3
globlastp


WNU3_H9
brachypodium|12v1|BRADI2G52660_P1
343
4076
204
91.7
globlastp


WNU3_H35
switchgrass|12v1|DN141545_P1
344
4077
204
91.1
globlastp


WNU3_H10
switchgrass|gb167|DN141545
345
4077
204
91.1
globlastp


WNU3_H11
foxtail_millet|11v3|PHY7SI022489M_P1
346
4078
204
90.9
globlastp


WNU3_H12
maize|10v1|AI941668_P1
347
4079
204
90.9
globlastp


WNU3_H13
barley|12v1|BI950534_P1
348
4080
204
90.6
globlastp


WNU3_H14
barley|12v1|HV12v1CRP158093_P1
349
4080
204
90.6
globlastp


WNU3_H15
sorghum|12v1|SB09G024250
350
4081
204
90.6
globlastp


WNU3_H16
sugarcane|10v1|CA071700
351
4082
204
90.6
globlastp


WNU3_H17
rye|12v1|DRR001012.100986
352
4083
204
90.3
globlastp


WNU3_H18
rye|12v1|DRR001012.135608
353
4083
204
90.3
globlastp


WNU3_H19
wheat|12v3|BE400917
354
4084
204
90.1
globlastp


WNU3_H20
cenchrus|gb166|EB652730_P1
355
4085
204
90
globlastp


WNU3_H21
maize|10v1|AI372366_P1
356
4086
204
90
globlastp


WNU3_H22
oat|11v1|GR345828_P1
357
4087
204
89.8
globlastp


WNU3_H23
rice|11v1|BM419281
358
4088
204
89.2
globlastp


WNU3_H24
barley|12v1|BG299553_P1
359
4089
204
88.6
globlastp


WNU3_H25
brachypodium|12v1|BRADI2G21250_P1
360
4090
204
88.6
globlastp


WNU3_H26
wheat|12v3|BE401506
361
4091
204
88.6
globlastp


WNU3_H27
oat|11v1|CN819547_P1
362
4092
204
88.1
globlastp


WNU3_H28
rye|12v1|DRR001012.109054
363
4093
204
87.5
globlastp


WNU3_H29
rye|12v1|DRR001012.134389
364
4093
204
87.5
globlastp


WNU3_H30
pseudoroegneria|gb167|FF340600
365
4094
204
86.46
glotblastn


WNU3_H31
banana|12v1|MAGEN2012002795_P1
366
4095
204
84.3
globlastp


WNU3_H32
barley|12v1|AV910390_P1
367
4096
204
84.1
globlastp


WNU3_H33
banana|12v1|FL651443_P1
368
4097
204
83
globlastp


WNU5_H1
arabidopsis_lyrata|09v1|TMPLAT1G76520T1_P1
369
205
205
100
globlastp


WNU5_H2
arabidopsis_lyrata|09v1|JGIAL007927_P1
370
4098
205
98
globlastp


WNU5_H3
b_rapa|11v1|BRA015736_P1
371
4099
205
89.2
globlastp


WNU5_H4
thellungiella_halophilum|11v1|DN779143
372
4100
205
88.7
globlastp


WNU5_H5
b_rapa|11v1|EV104238_P1
373
4101
205
87.4
globlastp


WNU5_H6
canola|11v1|EV104238_P1
374
4102
205
86.9
globlastp


WNU5_H7
radish|gb164|EX756195
375
4103
205
86.2
globlastp


WNU5_H8
b_rapa|11v1|EV223158_P1
376
4104
205
84.1
globlastp


WNU5_H9
radish|gb164|EX895073
377
4105
205
81.93
glotblastn


WNU6_H1
arabidopsis_lyrata|09v1|JGIAL015429_P1
378
4106
206
94.7
globlastp


WNU6_H2
thellungiella_parvulum|11v1|EPCRP016603
379
4107
206
85.5
globlastp


WNU6_H3
b_rapa|11v1|EE568935_P1
380
4108
206
85
globlastp


WNU6_H4
canola|11v1|SRR329661.151100_P1
381
4109
206
83.7
globlastp


WNU6_H5
thellungiella_halophilum|11v1|EHJGI11001006
382
4110
206
83.6
globlastp


WNU6_H6
canola|11v1|EE568935_T1
383
4111
206
83.26
glotblastn


WNU6_H7
b_rapa|11v1|ES912747_P1
384
4112
206
83.2
globlastp


WNU6_H8
canola|11v1|ES912747_P1
385
4113
206
83.2
globlastp


WNU6_H9
canola|11v1|EV016118_P1
386
4114
206
82.3
globlastp


WNU6_H10
radish|gb164|FD951571
387
4115
206
82.3
globlastp


WNU7_H1
thellungiella_parvulum|11v1|BY830354
388
4116
207
92.6
globlastp


WNU7_H2
arabidopsis_lyrata|09v1|JGIAL031129_P1
389
4117
207
91.5
globlastp


WNU7_H3
thellungiella_halophilum|11v1|BY830354
390
4118
207
90
globlastp


WNU7_H4
b_rapa|11v1|CO749935_P1
391
4119
207
85.7
globlastp


WNU8_H1
rye|12v1|BE495472
392
208
208
100
globlastp


WNU8_H2
rye|12v1|BE587609
393
208
208
100
globlastp


WNU8_H3
rye|12v1|DRR001012.100384
394
208
208
100
globlastp


WNU8_H4
rye|12v1|DRR001012.101919
395
208
208
100
globlastp


WNU8_H5
rye|12v1|DRR001012.103485
396
208
208
100
globlastp


WNU8_H6
rye|12v1|DRR001012.104321
397
208
208
100
globlastp


WNU8_H7
rye|12v1|DRR001012.112767
398
208
208
100
globlastp


WNU8_H8
rye|12v1|DRR001012.11902
399
208
208
100
globlastp


WNU8_H9
rye|12v1|DRR001012.122152
400
208
208
100
globlastp


WNU8_H10
rye|12v1|DRR001012.137813
401
4120
208
100
glotblastn


WNU8_H11
rye|12v1|DRR001012.158922
402
208
208
100
globlastp


WNU8_H12
rye|12v1|DRR001012.201080
403
208
208
100
globlastp


WNU8_H13
rye|12v1|DRR001012.213076
404
208
208
100
globlastp


WNU8_H14
rye|12v1|DRR001012.848887
405
208
208
100
globlastp


WNU8_H15
wheat|12v3|BE398175
406
208
208
100
globlastp


WNU8_H16
wheat|12v3|BE398223
407
208
208
100
globlastp


WNU8_H17
wheat|12v3|BE398691
408
208
208
100
globlastp


WNU8_H18
wheat|12v3|BE399072
409
208
208
100
globlastp


WNU8_H19
wheat|12v3|BE399356
410
208
208
100
globlastp


WNU8_H20
wheat|12v3|BE399404
411
208
208
100
globlastp


WNU8_H21
wheat|12v3|BE406548
412
208
208
100
globlastp


WNU8_H22
wheat|12v3|BE413915
413
208
208
100
globlastp


WNU8_H23
wheat|12v3|BE415959
414
208
208
100
globlastp


WNU8_H24
wheat|12v3|WHTTEF1X
415
208
208
100
globlastp


WNU8_H25
wheat|12v3|BE398307
416
4121
208
99.8
globlastp


WNU8_H26
rye|12v1|DRR001012.270934
417
4122
208
99.78
glotblastn


WNU8_H27
wheat|12v3|BE406853
418
4123
208
99.78
glotblastn


WNU8_H28
wheat|12v3|BE403574
419
4124
208
99.6
globlastp


WNU8_H29
rye|12v1|DRR001012.172851
420
4125
208
99.33
glotblastn


WNU8_H30
rye|12v1|EU153587
421
4126
208
99.33
glotblastn


WNU8_H31
wheat|12v3|BE398292
422
4127
208
99.3
globlastp


WNU8_H32
wheat|12v3|BE398872
423
4127
208
99.3
globlastp


WNU8_H33
wheat|12v3|BE400214
424
4127
208
99.3
globlastp


WNU8_H34
wheat|12v3|BE407014
425
4127
208
99.3
globlastp


WNU8_H35
wheat|12v3|BE590945
426
4128
208
99.3
globlastp


WNU8_H36
rye|12v1|DRR001012.118155
427
4129
208
99.1
globlastp


WNU8_H37
wheat|12v3|BE398530
428
4130
208
99.1
globlastp


WNU8_H38
oat|11v1|CN815245_P1
429
4131
208
98.9
globlastp


WNU8_H39
rye|12v1|DRR001012.106186
430
4132
208
98.9
globlastp


WNU8_H40
oat|11v1|GO583634_P1
431
4133
208
98.7
globlastp


WNU8_H41
oat|11v1|GO585413_P1
432
4133
208
98.7
globlastp


WNU8_H42
oat|11v1|GO586258_P1
433
4133
208
98.7
globlastp


WNU8_H43
brachypodium|12v1|BRADI0012S00200T2_P1
434
4134
208
98.2
globlastp


WNU8_H44
brachypodium|12v1|BRADI1G06860T2_P1
435
4134
208
98.2
globlastp


WNU8_H45
brachypodium|12v1|BRADI1G06860_P1
436
4134
208
98.2
globlastp


WNU8_H46
brachypodium|12v1|BRADI1G06870_P1
437
4134
208
98.2
globlastp


WNU8_H47
brachypodium|12v1|BRADI4G12750T2_P1
438
4134
208
98.2
globlastp


WNU8_H48
rye|12v1|DRR001012.341337
439
4135
208
97.8
globlastp


WNU8_H49
brachypodium|12v1|BDPRD12V1008469_T1
440
4136
208
97.32
glotblastn


WNU8_H50
brachypodium|12v1|BDCRP12V1052162_P1
441
4137
208
97.3
globlastp


WNU8_H51
pigeonpea|11v1|GR464509_P1
442
4138
208
97.1
globlastp


WNU8_H52
cowpea|12v1|FC456669_P1
443
4139
208
96.9
globlastp


WNU8_H53
peanut|10v1|CD038354_P1
444
4140
208
96.9
globlastp


WNU8_H54
pigeonpea|11v1|GW359244_P1
445
4141
208
96.9
globlastp


WNU8_H55
soybean|11v1|GLYMA16G07350
446
4142
208
96.9
globlastp


WNU8_H55
soybean|12v1|GLYMA16G07350_P1
447
4142
208
96.9
globlastp


WNU8_H56
trigonella|11v1|SRR066194X103703
448
4143
208
96.9
globlastp


WNU8_H57
wheat|12v3|BE352631
449
4144
208
96.9
globlastp


WNU8_H58
wheat|12v3|BE398718
450
4144
208
96.9
globlastp


WNU8_H59
wheat|12v3|BE418288
451
4144
208
96.9
globlastp


WNU8_H60
wheat|12v3|BE419649
452
4144
208
96.9
globlastp


WNU8_H61
wheat|12v3|BE424307
453
4144
208
96.9
globlastp


WNU8_H62
wheat|12v3|BF200050
454
4144
208
96.9
globlastp


WNU8_H63
brachypodium|12v1|DV470157_T1
455
4145
208
96.88
glotblastn


WNU8_H64
brachypodium|12v1|DV475966_P1
456
4146
208
96.7
globlastp


WNU8_H1000
bean|12v2|CA898053_P1
457
4147
208
96.6
globlastp


WNU8_H65
apple|11v1|CN489484_P1
458
4148
208
96.6
globlastp


WNU8_H66
bean|12v1|CA898053
459
4147
208
96.6
globlastp


WNU8_H67
bean|12v1|FG232244
460
4147
208
96.6
globlastp


WNU8_H68
cowpea|12v1|FF395866_P1
461
4149
208
96.6
globlastp


WNU8_H69
humulus|11v1|ES654484_P1
462
4150
208
96.6
globlastp


WNU8_H70
humulus|11v1|ES655751_P1
463
4150
208
96.6
globlastp


WNU8_H71
humulus|11v1|EX521150_P1
464
4150
208
96.6
globlastp


WNU8_H72
maize|10v1|AI586401_P1
465
4151
208
96.6
globlastp


WNU8_H73
maize|10v1|T14798_P1
466
4151
208
96.6
globlastp


WNU8_H74
millet|10v1|CD724499_P1
467
4152
208
96.6
globlastp


WNU8_H75
millet|10v1|CD725344_P1
468
4152
208
96.6
globlastp


WNU8_H76
millet|10v1|CD725865_P1
469
4152
208
96.6
globlastp


WNU8_H77
millet|10v1|CD726323_P1
470
4152
208
96.6
globlastp


WNU8_H78
millet|10v1|CD726441_P1
471
4152
208
96.6
globlastp


WNU8_H79
millet|10v1|EVO454PM000499_P1
472
4152
208
96.6
globlastp


WNU8_H80
millet|10v1|EVO454PM000661_P1
473
4152
208
96.6
globlastp


WNU8_H81
millet|10v1|EVO454PM001271_P1
474
4152
208
96.6
globlastp


WNU8_H82
millet|10v1|EVO454PM001383_P1
475
4152
208
96.6
globlastp


WNU8_H83
millet|10v1|EVO454PM002183_P1
476
4152
208
96.6
globlastp


WNU8_H84
millet|10v1|EVO454PM003597_P1
477
4152
208
96.6
globlastp


WNU8_H85
millet|10v1|EVO454PM005551_P1
478
4152
208
96.6
globlastp


WNU8_H86
millet|10v1|EVO454PM015011_P1
479
4152
208
96.6
globlastp


WNU8_H87
millet|10v1|EVO454PM032398_P1
480
4152
208
96.6
globlastp


WNU8_H88
pigeonpea|11v1|EE604711_P1
481
4153
208
96.6
globlastp


WNU8_H89
rice|11v1|AA749924
482
4154
208
96.6
globlastp


WNU8_H90
rice|11v1|AA751062
483
4154
208
96.6
globlastp


WNU8_H91
rice|11v1|AA751073
484
4154
208
96.6
globlastp


WNU8_H92
rice|11v1|AA751266
485
4154
208
96.6
globlastp


WNU8_H93
rice|11v1|CB635357
486
4154
208
96.6
globlastp


WNU8_H94
rye|12v1|BE494068
487
4155
208
96.6
globlastp


WNU8_H95
rye|12v1|BE495285
488
4156
208
96.6
globlastp


WNU8_H96
rye|12v1|BE495525
489
4155
208
96.6
globlastp


WNU8_H97
rye|12v1|BE704534
490
4155
208
96.6
globlastp


WNU8_H98
rye|12v1|DRR001012.101216
491
4157
208
96.6
globlastp


WNU8_H99
rye|12v1|DRR001012.102514
492
4158
208
96.6
globlastp


WNU8_H100
rye|12v1|DRR001012.103115
493
4158
208
96.6
globlastp


WNU8_H101
rye|12v1|DRR001012.143672
494
4158
208
96.6
globlastp


WNU8_H102
rye|12v1|DRR001012.186360
495
4158
208
96.6
globlastp


WNU8_H103
rye|12v1|DRR001012.311498
496
4155
208
96.6
globlastp


WNU8_H104
soybean|11v1|GLYMA19G07240
497
4159
208
96.6
globlastp


WNU8_H105
wheat|12v3|BE406571
498
4160
208
96.6
globlastp


WNU8_H104,
soybean|12v1|GLYMA19G07240T3_P1
499
4159
208
96.6
globlastp


WNU8_H710


WNU8_H106
chickpea|11v1|CK148718XX2
500
4161
208
96.42
glotblastn


WNU8_H107
millet|10v1|CD724963_T1
501
4162
208
96.42
glotblastn


WNU8_H1001
chickpea|13v2|CD051300_P1
502
4163
208
96.4
globlastp


WNU8_H1002
chickpea|13v2|GR394715_P1
503
4163
208
96.4
globlastp


WNU8_H1003
chickpea|13v2|SRR133517.123761_P1
504
4163
208
96.4
globlastp


WNU8_H1004
chickpea|13v2|SRR133517.147659_P1
505
4163
208
96.4
globlastp


WNU8_H1005
chickpea|13v2|SRR133517.27793_P1
506
4163
208
96.4
globlastp


WNU8_H108
chickpea|11v1|AJ010225XX1
507
4163
208
96.4
globlastp


WNU8_H109
chickpea|11v1|GR397423
508
4163
208
96.4
globlastp


WNU8_H109
chickpea|13v2|AB024998_P1
509
4163
208
96.4
globlastp


WNU8_H110
cotton|11v1|BE055520_P1
510
4164
208
96.4
globlastp


WNU8_H111
cucumber|09v1|AT007014_P1
511
4165
208
96.4
globlastp


WNU8_H112
cynodon|10v1|ES294218_P1
512
4166
208
96.4
globlastp


WNU8_H113
foxtail_millet|11v3|EC612500_P1
513
4167
208
96.4
globlastp


WNU8_H114
foxtail_millet|11v3|EC612637_P1
514
4167
208
96.4
globlastp


WNU8_H115
gossypium_raimondii|12v1|AI054704_P1
515
4164
208
96.4
globlastp


WNU8_H116
maize|10v1|AA051887_P1
516
4168
208
96.4
globlastp


WNU8_H117
maize|10v1|AI586642_P1
517
4169
208
96.4
globlastp


WNU8_H118
maize|10v1|AI600492_P1
518
4170
208
96.4
globlastp


WNU8_H119
maize|10v1|T14745_P1
519
4171
208
96.4
globlastp


WNU8_H120
medicago|12v1|AI737510_P1
520
4172
208
96.4
globlastp


WNU8_H121
medicago|12v1|AI974390_P1
521
4172
208
96.4
globlastp


WNU8_H122
millet|10v1|EVO454PM002847_P1
522
4173
208
96.4
globlastp


WNU8_H123
rye|12v1|DRR001012.150591
523
4174
208
96.4
globlastp


WNU8_H124
wheat|12v3|BE399763
524
4175
208
96.4
globlastp


WNU8_H106,
chickpea|13v2|AJ010225_P1
525
4163
208
96.4
globlastp


WNU8_H108


WNU8_H1006
chickpea|13v2|GR407792_T1
526
4161
208
96.2
glotblastn


WNU8_H1007
chickpea|13v2|SRR133517.157170_T1
527
4176
208
96.2
glotblastn


WNU8_H125
aristolochia|10v1|FD748314_P1
528
4177
208
96.2
globlastp


WNU8_H126
aristolochia|10v1|FD758456_P1
529
4177
208
96.2
globlastp


WNU8_H127
banana|12v1|BBS1834T7_P1
530
4178
208
96.2
globlastp


WNU8_H128
cotton|11v1|BM359349_P1
531
4179
208
96.2
globlastp


WNU8_H129
cotton|11v1|CO095627_P1
532
4180
208
96.2
globlastp


WNU8_H130
cucurbita|11v1|FG227792_P1
533
4181
208
96.2
globlastp


WNU8_H131
cucurbita|11v1|SRR091276X135177_P1
534
4182
208
96.2
globlastp


WNU8_H132
foxtail_millet|11v3|EC613365_P1
535
4183
208
96.2
globlastp


WNU8_H133
foxtail_millet|11v3|EC613737_P1
536
4183
208
96.2
globlastp


WNU8_H134
foxtail_millet|11v3|GT228338_P1
537
4183
208
96.2
globlastp


WNU8_H135
foxtail_millet|11v3|PHY7SI022036M_P1
538
4183
208
96.2
globlastp


WNU8_H136
foxtail_millet|11v3|PHY7SI022037M_P1
539
4183
208
96.2
globlastp


WNU8_H137
gossypium_raimondii|12v1|AI730162_P1
540
4180
208
96.2
globlastp


WNU8_H138
lotus|09v1|AI967306_P1
541
4184
208
96.2
globlastp


WNU8_H139
millet|10v1|EVO454PM016641_P1
542
4185
208
96.2
globlastp


WNU8_H140
poppy|11v1|FE964382_P1
543
4186
208
96.2
globlastp


WNU8_H141
poppy|11v1|FE965111_P1
544
4186
208
96.2
globlastp


WNU8_H142
poppy|11v1|FE965256_P1
545
4186
208
96.2
globlastp


WNU8_H143
poppy|11v1|FE965993_P1
546
4186
208
96.2
globlastp


WNU8_H144
poppy|11v1|FG606650_P1
547
4186
208
96.2
globlastp


WNU8_H145
poppy|11v1|FG610664_P1
548
4186
208
96.2
globlastp


WNU8_H146
poppy|11v1|SRR030259.100126_P1
549
4186
208
96.2
globlastp


WNU8_H147
poppy|11v1|SRR030259.101544_P1
550
4186
208
96.2
globlastp


WNU8_H148
poppy|11v1|SRR030259.102267_P1
551
4186
208
96.2
globlastp


WNU8_H149
poppy|11v1|SRR030259.10410_P1
552
4186
208
96.2
globlastp


WNU8_H150
poppy|11v1|SRR030259.133939_T1
553
4187
208
96.2
glotblastn


WNU8_H151
soybean|11v1|GLYMA05G24110
554
4188
208
96.2
globlastp


WNU8_H152
sugarcane|10v1|AF331850
555
4189
208
96.2
globlastp


WNU8_H153
sugarcane|10v1|BQ533135
556
4190
208
96.2
globlastp


WNU8_H151,
soybean|12v1|GLYMA05G24110_P1
557
4188
208
96.2
globlastp


WNU8_H408


WNU8_H1008
switchgrass|12v1|DN142583_P1
558
4191
208
96
globlastp


WNU8_H154
apple|11v1|CN488523_P1
559
4192
208
96
globlastp


WNU8_H155
apple|11v1|CN494505_P1
560
4192
208
96
globlastp


WNU8_H156
banana|12v1|BBS3632T3_P1
561
4193
208
96
globlastp


WNU8_H157
clementine|11v1|BE205689_P1
562
4194
208
96
globlastp


WNU8_H158
clementine|11v1|BQ624489_P1
563
4195
208
96
globlastp


WNU8_H159
cotton|11v1|BG445721_P1
564
4196
208
96
globlastp


WNU8_H160
cowpea|12v1|FC456829_P1
565
4197
208
96
globlastp


WNU8_H161
cowpea|12v1|FC458124_P1
566
4197
208
96
globlastp


WNU8_H162
foxtail_millet|11v3|EC612225_P1
567
4198
208
96
globlastp


WNU8_H163
foxtail_millet|11v3|GT228217_P1
568
4198
208
96
globlastp


WNU8_H164
hornbeam|12v1|SRR364455.103031_P1
569
4199
208
96
globlastp


WNU8_H165
kiwi|gb166|GFXAY940092X1_P1
570
4200
208
96
globlastp


WNU8_H166
maize|10v1|T18806_P1
571
4201
208
96
globlastp


WNU8_H167
melon|10v1|AM729307_P1
572
4202
208
96
globlastp


WNU8_H168
oak|10v1|CU639705_P1
573
4203
208
96
globlastp


WNU8_H169
oak|10v1|DB996494_P1
574
4203
208
96
globlastp


WNU8_H170
rice|11v1|CB620198
575
4204
208
96
glotblastn


WNU8_H171
rye|12v1|BE495927
576
4205
208
96
globlastp


WNU8_H172
rye|12v1|DRR001012.10049
577
4206
208
96
globlastp


WNU8_H173
sorghum|12v1|SB10G023330
578
4207
208
96
globlastp


WNU8_H174
sorghum|12v1|SB10G023340
579
4207
208
96
globlastp


WNU8_H175
sorghum|12v1|SB10G023350
580
4207
208
96
globlastp


WNU8_H176
sorghum|12v1|SB10G023360
581
4207
208
96
globlastp


WNU8_H177
tea|10v1|CV699774
582
4208
208
96
globlastp


WNU8_H178
tobacco|gb162|BQ842818
583
4209
208
96
globlastp


WNU8_H179
trigonella|11v1|SRR066194X155552
584
4210
208
96
globlastp


WNU8_H180
poppy|11v1|SRR030259.102988_T1
585
4211
208
95.97
glotblastn


WNU8_H181
rye|12v1|DRR001013.13890
586
4212
208
95.97
glotblastn


WNU8_H182
cotton|11v1|BE052982_P1
587
4213
208
95.8
globlastp


WNU8_H183
pigeonpea|11v1|SRR054580X19235_P1
588
4214
208
95.8
globlastp


WNU8_H184
apple|11v1|CK900552_T1
589
4215
208
95.78
glotblastn


WNU8_H185
cynodon|10v1|DN985422_T1
590
4216
208
95.75
glotblastn


WNU8_H186
poppy|11v1|FE966067_T1
591
4217
208
95.75
glotblastn


WNU8_H187
poppy|11v1|SRR030260.100144_T1
592
4218
208
95.75
glotblastn


WNU8_H1009
nicotiana_benthamiana|12v1|AY206004_P1
593
4219
208
95.7
globlastp


WNU8_H1010
nicotiana_benthamiana|12v1|CN741625_P1
594
4219
208
95.7
globlastp


WNU8_H1011
switchgrass|12v1|DN140822_P1
595
4220
208
95.7
globlastp


WNU8_H1012
switchgrass|12v1|DN141030_P1
596
4220
208
95.7
globlastp


WNU8_H1013
switchgrass|12v1|DN141417_P1
597
4220
208
95.7
globlastp


WNU8_H1014
switchgrass|12v1|DN151972_P1
598
4221
208
95.7
globlastp


WNU8_H1015
switchgrass|12v1|GR876245_P1
599
4220
208
95.7
globlastp


WNU8_H1016
switchgrass|12v1|SRR187773.415907_P1
600
4220
208
95.7
globlastp


WNU8_H188
amorphophallus|11v2|SRR089351X101178_P1
601
4222
208
95.7
globlastp


WNU8_H189
amorphophallus|11v2|SRR089351X101401_P1
602
4222
208
95.7
globlastp


WNU8_H190
aristolochia|10v1|SRR039082S0176545_P1
603
4223
208
95.7
globlastp


WNU8_H191
cannabis|12v1|GR220976_P1
604
4224
208
95.7
globlastp


WNU8_H192
cotton|11v1|AI054704_P1
605
4225
208
95.7
globlastp


WNU8_H193
cynodon|10v1|DN985513_P1
606
4226
208
95.7
globlastp


WNU8_H194
eschscholzia|11v1|CD476726_P1
607
4227
208
95.7
globlastp


WNU8_H195
eschscholzia|11v1|CD476797_P1
608
4227
208
95.7
globlastp


WNU8_H196
eschscholzia|11v1|CD476881_P1
609
4227
208
95.7
globlastp


WNU8_H197
eschscholzia|11v1|CD477282_P1
610
4227
208
95.7
globlastp


WNU8_H198
eschscholzia|11v1|CD477313_P1
611
4227
208
95.7
globlastp


WNU8_H199
eschscholzia|11v1|CD477368_P1
612
4227
208
95.7
globlastp


WNU8_H200
eschscholzia|11v1|CD477537_P1
613
4227
208
95.7
globlastp


WNU8_H201
eschscholzia|11v1|CD478703_P1
614
4227
208
95.7
globlastp


WNU8_H202
euphorbia|11v1|SRR098678X100288_P1
615
4228
208
95.7
globlastp


WNU8_H203
euphorbia|11v1|SRR098678X100301_P1
616
4228
208
95.7
globlastp


WNU8_H204
euphorbia|11v1|SRR098678X100373_P1
617
4228
208
95.7
globlastp


WNU8_H205
maize|10v1|H35894_P1
618
4229
208
95.7
globlastp


WNU8_H206
oak|10v1|FN640894_P1
619
4230
208
95.7
globlastp


WNU8_H207
oak|10v1|FP043949_P1
620
4230
208
95.7
globlastp


WNU8_H208
oak|10v1|SRR006307S0002473_P1
621
4231
208
95.7
globlastp


WNU8_H209
onion|12v1|BQ580086_P1
622
4232
208
95.7
globlastp


WNU8_H210
poppy|11v1|SRR030259.109187_P1
623
4233
208
95.7
globlastp


WNU8_H211
prunus|10v1|BU039267
624
4234
208
95.7
globlastp


WNU8_H212
rose|12v1|BQ104256
625
4235
208
95.7
globlastp


WNU8_H213
silene|11v1|SRR096785X100438
626
4236
208
95.7
globlastp


WNU8_H214
silene|11v1|SRR096785X100589
627
4236
208
95.7
globlastp


WNU8_H215
silene|11v1|SRR096785X100710
628
4236
208
95.7
globlastp


WNU8_H216
silene|11v1|SRR096785X101356
629
4236
208
95.7
globlastp


WNU8_H217
silene|11v1|SRR096785X102548
630
4237
208
95.7
globlastp


WNU8_H218
silene|11v1|SRR096785X103692
631
4236
208
95.7
globlastp


WNU8_H219
silene|11v1|SRR096785X106318
632
4237
208
95.7
globlastp


WNU8_H220
tobacco|gb162|NTU04632
633
4238
208
95.7
globlastp


WNU8_H221
trigonella|11v1|SRR066194X116263
634
4239
208
95.7
globlastp


WNU8_H1017
chickpea|13v2|GR392683_T1
635
4240
208
95.53
glotblastn


WNU8_H1018
chickpea|13v2|SRR133517.155916_T1
636
4241
208
95.53
glotblastn


WNU8_H1019
chickpea|13v2|SRR133517.29578_T1
637
4242
208
95.53
glotblastn


WNU8_H222
amorphophallus|11v2|SRR089351X143730_T1
638
4243
208
95.53
glotblastn


WNU8_H223
amsonia|11v1|SRR098688X1008_T1
639
4244
208
95.53
glotblastn


WNU8_H224
cotton|11v1|AI730606_T1
640
4245
208
95.53
glotblastn


WNU8_H225
flaveria|11v1|SRR149229.466247_T1
641
4246
208
95.53
glotblastn


WNU8_H226
flaveria|11v1|SRR149232.102431_T1
642
4247
208
95.53
glotblastn


WNU8_H227
foxtail_millet|11v3|EC613894_T1
643
4248
208
95.53
glotblastn


WNU8_H228
foxtail_millet|11v3|SICRP094614_T1
644
4249
208
95.53
glotblastn


WNU8_H229
plantago|11v2|SRR066373X133888_T1
645
4250
208
95.53
glotblastn


WNU8_H230
poppy|11v1|SRR030259.205881_T1
646
4251
208
95.53
glotblastn


WNU8_H231
poppy|11v1|SRR030259.227682_T1
647
4252
208
95.53
glotblastn


WNU8_H232
silene|11v1|SRR096785X153635
648
4253
208
95.53
glotblastn


WNU8_H1020
bean|12v2|CA898065_P1
649
4254
208
95.5
globlastp


WNU8_H1021
nicotiana_benthamiana|12v1|BP744731_P1
650
4255
208
95.5
globlastp


WNU8_H1022
nicotiana_benthamiana|12v1|CN655509_P1
651
4256
208
95.5
globlastp


WNU8_H1023
prunus_mume|13v1|BU039267_P1
652
4257
208
95.5
globlastp


WNU8_H233
aristolochia|10v1|FD750352_P1
653
4258
208
95.5
globlastp


WNU8_H235
chelidonium|11v1|SRR084752X100201_P1
654
4259
208
95.5
globlastp


WNU8_H236
cotton|11v1|AI725538_P1
655
4260
208
95.5
globlastp


WNU8_H237
cotton|11v1|AI726406_P1
656
4260
208
95.5
globlastp


WNU8_H238
cotton|11v1|AI726541_P1
657
4260
208
95.5
globlastp


WNU8_H239
cotton|11v1|AI730220_P1
658
4260
208
95.5
globlastp


WNU8_H240
cotton|11v1|AI730498_P1
659
4260
208
95.5
globlastp


WNU8_H241
cotton|11v1|BF274186_P1
660
4260
208
95.5
globlastp


WNU8_H242
cotton|11v1|CO117735XX2_P1
661
4260
208
95.5
globlastp


WNU8_H243
eggplant|10v1|FS000082_P1
662
4261
208
95.5
globlastp


WNU8_H244
eggplant|10v1|FS000440_P1
663
4262
208
95.5
globlastp


WNU8_H245
eschscholzia|11v1|CD476486_P1
664
4263
208
95.5
globlastp


WNU8_H246
eschscholzia|11v1|CD478453XX2_P1
665
4264
208
95.5
globlastp


WNU8_H247
eschscholzia|11v1|CD478458_P1
666
4264
208
95.5
globlastp


WNU8_H248
eschscholzia|11v1|CD478468_P1
667
4265
208
95.5
globlastp


WNU8_H249
eschscholzia|11v1|CD479080XX2_P1
668
4264
208
95.5
globlastp


WNU8_H250
eschscholzia|11v1|SRR014116.110768_P1
669
4266
208
95.5
globlastp


WNU8_H251
gossypium_raimondii|12v1|AI725538_P1
670
4260
208
95.5
globlastp


WNU8_H252
gossypium_raimondii|12v1|AI726406_P1
671
4260
208
95.5
globlastp


WNU8_H253
gossypium_raimondii|12v1|BE052982_P1
672
4267
208
95.5
globlastp


WNU8_H254
grape|11v1|GSVIVT01025142001_P1
673
4268
208
95.5
globlastp


WNU8_H255
grape|11v1|GSVIVT01025145001_P1
674
4268
208
95.5
globlastp


WNU8_H256
momordica|10v1|SRR071315S0002857_P1
675
4269
208
95.5
globlastp


WNU8_H257
nasturtium|11v1|GH162035_P1
676
4270
208
95.5
globlastp


WNU8_H258
papaya|gb165|EL784286_P1
677
4271
208
95.5
globlastp


WNU8_H259
pea|11v1|CD861071_P1
678
4272
208
95.5
globlastp


WNU8_H260
pepper|12v1|AF109666_P1
679
4273
208
95.5
globlastp


WNU8_H261
poppy|11v1|SRR030259.119594_P1
680
4274
208
95.5
globlastp


WNU8_H262
rose|12v1|BQ106130
681
4275
208
95.5
globlastp


WNU8_H263
solanum_phureja|09v1|SPHAA076676
682
4276
208
95.5
globlastp


WNU8_H264
sorghum|12v1|SB02G036420
683
4277
208
95.5
globlastp


WNU8_H265
soybean|11v1|GLYMA10G35700
684
4278
208
95.5
globlastp


WNU8_H265
soybean|12v1|GLYMA10G35700_P1
685
4278
208
95.5
globlastp


WNU8_H266
vinca|11v1|SRR098690X123396
686
4279
208
95.5
globlastp


WNU8_H267
watermelon|11v1|CO997727
687
4280
208
95.5
globlastp


WNU8_H1024
castorbean|12v1|EE254323_T1
688
4281
208
95.3
glotblastn


WNU8_H1025
switchgrass|12v1|FL815212_P1
689
4282
208
95.3
globlastp


WNU8_H268
aquilegia|10v2|DR930217_P1
690
4283
208
95.3
globlastp


WNU8_H269
banana|12v1|Z99973_P1
691
4284
208
95.3
globlastp


WNU8_H270
beech|11v1|SRR006293.33031_T1
692
4285
208
95.3
glotblastn


WNU8_H271
beet|12v1|AW777205_P1
693
4286
208
95.3
globlastp


WNU8_H272
beet|12v1|BF011175_P1
694
4286
208
95.3
globlastp


WNU8_H273
castorbean|11v1|EE254323
695
4281
208
95.3
glotblastn


WNU8_H274
centaurea|11v1|EH726601_P1
696
4287
208
95.3
globlastp


WNU8_H275
centaurea|11v1|EH761240_P1
697
4287
208
95.3
globlastp


WNU8_H276
chelidonium|11v1|SRR084752X100558_P1
698
4288
208
95.3
globlastp


WNU8_H277
chelidonium|11v1|SRR084752X100795_P1
699
4289
208
95.3
globlastp


WNU8_H278
chelidonium|11v1|SRR084752X101329_P1
700
4289
208
95.3
globlastp


WNU8_H279
cirsium|11v1|SRR346952.1002708_P1
701
4287
208
95.3
globlastp


WNU8_H280
cirsium|11v1|SRR349641.103962_P1
702
4287
208
95.3
globlastp


WNU8_H281
cleome_gynandra|10v1|SRR015532S0001474_P1
703
4290
208
95.3
globlastp


WNU8_H282
cleome_gynandra|10v1|SRR015532S0004204_P1
704
4290
208
95.3
globlastp


WNU8_H283
cleome_spinosa|10v1|GR932583_P1
705
4291
208
95.3
globlastp


WNU8_H284
cleome_spinosa|10v1|SRR015531S0002895_P1
706
4292
208
95.3
globlastp


WNU8_H285
cotton|11v1|BF274217XX1_P1
707
4293
208
95.3
globlastp


WNU8_H286
cotton|11v1|CO100824_P1
708
4293
208
95.3
globlastp


WNU8_H287
cotton|11v1|DT053387_P1
709
4294
208
95.3
globlastp


WNU8_H288
cotton|11v1|DT569172_P1
710
4293
208
95.3
globlastp


WNU8_H289
eucalyptus|11v2|AW191358_P1
711
4295
208
95.3
globlastp


WNU8_H290
euonymus|11v1|SRR070038X101364_P1
712
4296
208
95.3
globlastp


WNU8_H291
euonymus|11v1|SRR070038X115963_P1
713
4296
208
95.3
globlastp


WNU8_H292
euonymus|11v1|SRR070038X259150_P1
714
4297
208
95.3
globlastp


WNU8_H293
flaveria|11v1|SRR149229.100675_P1
715
4298
208
95.3
globlastp


WNU8_H294
flaveria|11v1|SRR149229.138103_P1
716
4298
208
95.3
globlastp


WNU8_H295
flaveria|11v1|SRR149229.426038_P1
717
4299
208
95.3
globlastp


WNU8_H296
flaveria|11v1|SRR149229.452538_P1
718
4299
208
95.3
globlastp


WNU8_H297
flaveria|11v1|SRR149229.452727_P1
719
4298
208
95.3
globlastp


WNU8_H298
flaveria|11v1|SRR149232.105959_P1
720
4298
208
95.3
globlastp


WNU8_H299
flaveria|11v1|SRR149232.119639_P1
721
4298
208
95.3
globlastp


WNU8_H300
flaveria|11v1|SRR149232.239369XX2_P1
722
4298
208
95.3
globlastp


WNU8_H301
flaveria|11v1|SRR149232.253318_P1
723
4298
208
95.3
globlastp


WNU8_H302
flaveria|11v1|SRR149232.316595_P1
724
4299
208
95.3
globlastp


WNU8_H303
flaveria|11v1|SRR149232.356601_P1
725
4298
208
95.3
globlastp


WNU8_H304
flaveria|11v1|SRR149232.382252_P1
726
4298
208
95.3
globlastp


WNU8_H305
flaveria|11v1|SRR149232.85827_P1
727
4298
208
95.3
globlastp


WNU8_H306
flaveria|11v1|SRR149240.222217_P1
728
4298
208
95.3
globlastp


WNU8_H307
gerbera|09v1|AJ750107_P1
729
4300
208
95.3
globlastp


WNU8_H308
gossypium_raimondii|12v1|AI055114_P1
730
4293
208
95.3
globlastp


WNU8_H309
hornbeam|12v1|SRR364455.101164_P1
731
4301
208
95.3
globlastp


WNU8_H310
hornbeam|12v1|SRR364455.101583_P1
732
4301
208
95.3
globlastp


WNU8_H311
hornbeam|12v1|SRR364455.101709_P1
733
4301
208
95.3
globlastp


WNU8_H312
medicago|12v1|AW256757_P1
734
4302
208
95.3
globlastp


WNU8_H313
medicago|12v1|BF650996_P1
735
4303
208
95.3
globlastp


WNU8_H314
pigeonpea|11v1|GR466613_T1
736
4304
208
95.3
glotblastn


WNU8_H315
plantago|11v2|SRR066373X100182_P1
737
4305
208
95.3
globlastp


WNU8_H316
plantago|11v2|SRR066373X101749_P1
738
4305
208
95.3
globlastp


WNU8_H317
platanus|11v1|SRR096786X106302_P1
739
4306
208
95.3
globlastp


WNU8_H318
poppy|11v1|FE965841_P1
740
4307
208
95.3
globlastp


WNU8_H319
poppy|11v1|FE968602_P1
741
4308
208
95.3
globlastp


WNU8_H320
poppy|11v1|FG612840_T1
742
4309
208
95.3
glotblastn


WNU8_H321
poppy|11v1|SRR030259.111052_P1
743
4310
208
95.3
globlastp


WNU8_H322
poppy|11v1|SRR030267.75877_P1
744
4308
208
95.3
globlastp


WNU8_H323
rye|12v1|BF429367
745
4311
208
95.3
globlastp


WNU8_H324
rye|12v1|DRR001012.101877
746
4312
208
95.3
glotblastn


WNU8_H325
silene|11v1|DV768325
747
4313
208
95.3
globlastp


WNU8_H326
silene|11v1|SRR096785X101252
748
4314
208
95.3
globlastp


WNU8_H327
solanum_phureja|09v1|SPHAI773886
749
4315
208
95.3
globlastp


WNU8_H328
soybean|11v1|GLYMA05G11630
750
4316
208
95.3
globlastp


WNU8_H328
soybean|12v1|GLYMA05G11630T2_P1
751
4316
208
95.3
globlastp


WNU8_H329
soybean|11v1|GLYMA17G23900
752
4317
208
95.3
globlastp


WNU8_H330
sugarcane|10v1|CA110141
753
4318
208
95.3
globlastp


WNU8_H331
tomato|11v1|NTU04632
754
4319
208
95.3
globlastp


WNU8_H332
wheat|12v3|HX143170
755
4320
208
95.3
globlastp


WNU8_H329,
soybean|12v1|GLYMA17G23900_P1
756
4317
208
95.3
globlastp


WNU8_H711


WNU8_H1026
castorbean|12v1|EG658125_P1
757
4321
208
95.1
globlastp


WNU8_H1027
poplar|13v1|AI161969_P1
758
4322
208
95.1
globlastp


WNU8_H1028
switchgrass|12v1|FE605464_P1
759
4323
208
95.1
globlastp


WNU8_H333
amborella|12v3|FD428667_P1
760
4324
208
95.1
globlastp


WNU8_H334
apple|11v1|CN862600_P1
761
4325
208
95.1
globlastp


WNU8_H335
apple|11v1|MDU80268_P1
762
4326
208
95.1
globlastp


WNU8_H336
artemisia|10v1|EY102338_P1
763
4327
208
95.1
globlastp


WNU8_H337
banana|12v1|DQ057979_P1
764
4328
208
95.1
globlastp


WNU8_H338
banana|12v1|ES431512_P1
765
4329
208
95.1
globlastp


WNU8_H339
banana|12v1|FF561778_P1
766
4330
208
95.1
globlastp


WNU8_H340
beech|11v1|SRR006293.11634_P1
767
4331
208
95.1
globlastp


WNU8_H341
beech|11v1|SRR006293.11715_P1
768
4332
208
95.1
globlastp


WNU8_H342
beech|11v1|SRR006293.26950_P1
769
4333
208
95.1
globlastp


WNU8_H343
beet|12v1|BF011125_P1
770
4334
208
95.1
globlastp


WNU8_H344
blueberry|12v1|CF811324_P1
771
4335
208
95.1
globlastp


WNU8_H345
blueberry|12v1|DR068176_P1
772
4336
208
95.1
globlastp


WNU8_H346
blueberry|12v1|SRR353282X11412D1_P1
773
4337
208
95.1
globlastp


WNU8_H347
cacao|10v1|CU471873_P1
774
4338
208
95.1
globlastp


WNU8_H348
cannabis|12v1|GR220640_P1
775
4339
208
95.1
globlastp


WNU8_H349
castorbean|11v1|EG658125
776
4321
208
95.1
globlastp


WNU8_H350
cirsium|11v1|SRR346952.124276_P1
777
4340
208
95.1
globlastp


WNU8_H351
cotton|11v1|AI055181_P1
778
4341
208
95.1
globlastp


WNU8_H352
cotton|11v1|AI730775_P1
779
4342
208
95.1
globlastp


WNU8_H353
cotton|11v1|BQ407515_P1
780
4343
208
95.1
globlastp


WNU8_H354
cotton|11v1|CO074038_P1
781
4343
208
95.1
globlastp


WNU8_H355
eucalyptus|11v2|CB968056_P1
782
4344
208
95.1
globlastp


WNU8_H356
eucalyptus|11v2|CD668816_P1
783
4345
208
95.1
globlastp


WNU8_H357
eucalyptus|11v2|CD669665_P1
784
4346
208
95.1
globlastp


WNU8_H358
flaveria|11v1|SRR149229.104017_P1
785
4347
208
95.1
globlastp


WNU8_H359
flaveria|11v1|SRR149229.124433_P1
786
4347
208
95.1
globlastp


WNU8_H360
flaveria|11v1|SRR149229.444305_P1
787
4348
208
95.1
globlastp


WNU8_H361
flaveria|11v1|SRR149229.93595_P1
788
4347
208
95.1
globlastp


WNU8_H362
flaveria|11v1|SRR149232.15044_P1
789
4349
208
95.1
globlastp


WNU8_H363
gossypium_raimondii|12v1|AI055181_P1
790
4341
208
95.1
globlastp


WNU8_H364
gossypium_raimondii|12v1|AI730775_P1
791
4350
208
95.1
globlastp


WNU8_H365
grape|11v1|GSVIVT01016317001_P1
792
4351
208
95.1
globlastp


WNU8_H366
humulus|11v1|ES652342_P1
793
4352
208
95.1
globlastp


WNU8_H367
lettuce|12v1|DW043995_P1
794
4353
208
95.1
globlastp


WNU8_H368
lotus|09v1|CN825649_P1
795
4354
208
95.1
globlastp


WNU8_H369
momordica|10v1|SRR071315S0016076_P1
796
4355
208
95.1
globlastp


WNU8_H370
phyla|11v2|SRR099035X100072_P1
797
4356
208
95.1
globlastp


WNU8_H371
phyla|11v2|SRR099035X101326_P1
798
4356
208
95.1
globlastp


WNU8_H372
phyla|11v2|SRR099035X101336_P1
799
4356
208
95.1
globlastp


WNU8_H373
phyla|11v2|SRR099035X103026_P1
800
4356
208
95.1
globlastp


WNU8_H374
pigeonpea|11v1|SRR054580X118863_P1
801
4357
208
95.1
globlastp


WNU8_H375
podocarpus|10v1|SRR065014S0015649_P1
802
4358
208
95.1
globlastp


WNU8_H376
poppy|11v1|FE965023_P1
803
4359
208
95.1
globlastp


WNU8_H377
poppy|11v1|FE966271_P1
804
4360
208
95.1
globlastp


WNU8_H378
poppy|11v1|SRR030259.131651_P1
805
4360
208
95.1
globlastp


WNU8_H379
poppy|11v1|SRR030259.204870_P1
806
4360
208
95.1
globlastp


WNU8_H380
poppy|11v1|SRR030259.371307_P1
807
4359
208
95.1
globlastp


WNU8_H381
poppy|11v1|SRR030265.228007_P1
808
4361
208
95.1
globlastp


WNU8_H382
poppy|11v1|SRR030266.80491_P1
809
4361
208
95.1
globlastp


WNU8_H383
poppy|11v1|SRR033669.106346_P1
810
4362
208
95.1
globlastp


WNU8_H384
poppy|11v1|SRR096789.100989_P1
811
4361
208
95.1
globlastp


WNU8_H385
poppy|11v1|SRR096789.114426_P1
812
4361
208
95.1
globlastp


WNU8_H386
primula|11v1|SRR098679X10087_P1
813
4363
208
95.1
globlastp


WNU8_H387
pteridium|11v1|SRR043594X102662
814
4364
208
95.1
globlastp


WNU8_H388
solanum_phureja|09v1|SPHAI781348
815
4365
208
95.1
globlastp


WNU8_H389
solanum_phureja|09v1|SPHAJ302119
816
4365
208
95.1
globlastp


WNU8_H390
solanum_phureja|09v1|SPHBG123241
817
4365
208
95.1
globlastp


WNU8_H391
strawberry|11v1|CO378450
818
4366
208
95.1
globlastp


WNU8_H392
tomato|11v1|AF108894
819
4367
208
95.1
globlastp


WNU8_H393
tomato|11v1|BG123241
820
4367
208
95.1
globlastp


WNU8_H394
trigonella|11v1|SRR066194X107491
821
4368
208
95.1
globlastp


WNU8_H395
tripterygium|11v1|SRR098677X100595
822
4369
208
95.1
globlastp


WNU8_H396
tripterygium|11v1|SRR098677X100891
823
4369
208
95.1
globlastp


WNU8_H397
tripterygium|11v1|SRR098677X101036
824
4369
208
95.1
globlastp


WNU8_H398
tripterygium|11v1|SRR098677X12791XX1
825
4369
208
95.1
globlastp


WNU8_H399
utricularia|11v1|SRR094438.100179
826
4370
208
95.1
globlastp


WNU8_H400
apple|11v1|CX022900_T1
827
4371
208
95.08
glotblastn


WNU8_H401
cannabis|12v1|GR220972_T1
828
4372
208
95.08
glotblastn


WNU8_H402
cotton|11v1|BQ416159_T1
829
4373
208
95.08
glotblastn


WNU8_H403
eschscholzia|11v1|CD476470_T1
830
4374
208
95.08
glotblastn


WNU8_H404
flaveria|11v1|SRR149232.101720_T1
831
4375
208
95.08
glotblastn


WNU8_H405
grape|11v1|CB001916_T1
832
4376
208
95.08
glotblastn


WNU8_H406
poppy|11v1|SRR096789.135633_T1
833
4377
208
95.08
glotblastn


WNU8_H407
sorghum|12v1|CD204773
834
4378
208
95.08
glotblastn


WNU8_H408
soybean|11v1|CF806389
835
4379
208
95.08
glotblastn


WNU8_H409
wheat|12v3|AW448510
836
4380
208
95.08
glotblastn


WNU8_H1029
prunus_mume|13v1|BU039165_P1
837
4381
208
94.9
globlastp


WNU8_H410
amorphophallus|11v2|SRR089351X10266_P1
838
4382
208
94.9
globlastp


WNU8_H411
amorphophallus|11v2|SRR089351X105525XX1_P1
839
4382
208
94.9
globlastp


WNU8_H412
amorphophallus|11v2|SRR089351X128278_P1
840
4382
208
94.9
globlastp


WNU8_H413
amsonia|11v1|SRR098688X100175_P1
841
4383
208
94.9
globlastp


WNU8_H414
aquilegia|10v2|DR935423_P1
842
4384
208
94.9
globlastp


WNU8_H415
aquilegia|10v2|DT744770_P1
843
4385
208
94.9
globlastp


WNU8_H416
banana|12v1|FF560532_P1
844
4386
208
94.9
globlastp


WNU8_H417
basilicum|10v1|DY321893_P1
845
4387
208
94.9
globlastp


WNU8_H418
blueberry|12v1|DR067017_P1
846
4388
208
94.9
globlastp


WNU8_H419
blueberry|12v1|SRR353282X100165D1_P1
847
4389
208
94.9
globlastp


WNU8_H420
blueberry|12v1|SRR353282X100928D1_P1
848
4390
208
94.9
globlastp


WNU8_H421
cacao|10v1|CA797400_P1
849
4391
208
94.9
globlastp


WNU8_H422
cacao|10v1|CF972784_P1
850
4392
208
94.9
globlastp


WNU8_H423
cedrus|11v1|SRR065007X100666_P1
851
4393
208
94.9
globlastp


WNU8_H424
cirsium|11v1|SRR346952.1004975_P1
852
4394
208
94.9
globlastp


WNU8_H425
cirsium|11v1|SRR346952.1052090_P1
853
4394
208
94.9
globlastp


WNU8_H426
clementine|11v1|BE205741_P1
854
4395
208
94.9
globlastp


WNU8_H427
cleome_gynandra|10v1|SRR015532S0001773_P1
855
4396
208
94.9
globlastp


WNU8_H428
cleome_spinosa|10v1|GR933669_P1
856
4397
208
94.9
globlastp


WNU8_H429
cleome_spinosa|10v1|SRR015531S0001111_P1
857
4398
208
94.9
globlastp


WNU8_H430
coffea|10v1|DV663574_P1
858
4399
208
94.9
globlastp


WNU8_H431
cotton|11v1|CO071370_P1
859
4400
208
94.9
globlastp


WNU8_H432
cotton|11v1|DT048133_P1
860
4401
208
94.9
globlastp


WNU8_H433
dandelion|10v1|DR399309_P1
861
4402
208
94.9
globlastp


WNU8_H434
eschscholzia|11v1|CD476398_P1
862
4403
208
94.9
globlastp


WNU8_H435
eucalyptus|11v2|CB967966_P1
863
4404
208
94.9
globlastp


WNU8_H436
euphorbia|11v1|AW862637_P1
864
4405
208
94.9
globlastp


WNU8_H437
grape|11v1|GSVIVT01025638001_P1
865
4406
208
94.9
globlastp


WNU8_H438
humulus|11v1|FG346869_P1
866
4407
208
94.9
globlastp


WNU8_H439
humulus|11v1|GD245567_P1
867
4408
208
94.9
globlastp


WNU8_H440
maize|10v1|BG320525_P1
868
4409
208
94.9
globlastp


WNU8_H441
oil_palm|11v1|EL682924_P1
869
4410
208
94.9
globlastp


WNU8_H442
oil_palm|11v1|EL930607_P1
870
4411
208
94.9
globlastp


WNU8_H443
oil_palm|11v1|ES323752_P1
871
4411
208
94.9
globlastp


WNU8_H444
orange|11v1|BE205741_P1
872
4412
208
94.9
globlastp


WNU8_H445
orobanche|10v1|SRR023189S0000079_P1
873
4413
208
94.9
globlastp


WNU8_H446
orobanche|10v1|SRR023189S0001178_P1
874
4414
208
94.9
globlastp


WNU8_H447
parthenium|10v1|GW776061_P1
875
4415
208
94.9
globlastp


WNU8_H448
pepper|12v1|AF108894_P1
876
4416
208
94.9
globlastp


WNU8_H449
pepper|12v1|BM061844_P1
877
4416
208
94.9
globlastp


WNU8_H450
phalaenopsis|11v1|CB033270XX1_P1
878
4417
208
94.9
globlastp


WNU8_H451
phalaenopsis|11v1|CK858530_P1
879
4418
208
94.9
globlastp


WNU8_H452
platanus|11v1|AM286248_P1
880
4419
208
94.9
globlastp


WNU8_H453
platanus|11v1|SRR096786X101171_P1
881
4419
208
94.9
globlastp


WNU8_H454
poppy|11v1|SRR030259.124479_P1
882
4420
208
94.9
globlastp


WNU8_H455
prunus|10v1|BU039165
883
4381
208
94.9
globlastp


WNU8_H456
rye|12v1|DRR001012.156956
884
4421
208
94.9
globlastp


WNU8_H457
spruce|11v1|ES245248
885
4422
208
94.9
globlastp


WNU8_H458
spruce|11v1|ES250415
886
4422
208
94.9
globlastp


WNU8_H459
spruce|11v1|EX345407
887
4422
208
94.9
globlastp


WNU8_H460
strawberry|11v1|CO381963
888
4423
208
94.9
globlastp


WNU8_H461
sunflower|12v1|AJ318256
889
4424
208
94.9
globlastp


WNU8_H462
sunflower|12v1|AY094064
890
4424
208
94.9
globlastp


WNU8_H463
sunflower|12v1|BU671873
891
4424
208
94.9
globlastp


WNU8_H464
sunflower|12v1|BU671985
892
4424
208
94.9
globlastp


WNU8_H465
sunflower|12v1|CD851234
893
4424
208
94.9
globlastp


WNU8_H466
sunflower|12v1|DY909098
894
4424
208
94.9
globlastp


WNU8_H467
sunflower|12v1|DY915476
895
4424
208
94.9
globlastp


WNU8_H468
tabernaemontana|11v1|SRR098689X101208
896
4425
208
94.9
globlastp


WNU8_H469
tabernaemontana|11v1|SRR098689X106153XX1
897
4426
208
94.9
globlastp


WNU8_H470
tomato|11v1|R28725
898
4427
208
94.9
globlastp


WNU8_H471
tragopogon|10v1|SRR020205S0002006
899
4428
208
94.9
globlastp


WNU8_H472
trigonella|11v1|SRR066194X10242
900
4429
208
94.9
globlastp


WNU8_H501
poplar|13v1|AI164807_P1
901
4430
208
94.9
globlastp


WNU8_H473
eucalyptus|11v2|CU400103_T1
902
4431
208
94.88
glotblastn


WNU8_H474
medicago|12v1|BF639628_T1
903
4432
208
94.87
glotblastn


WNU8_H1030
monkeyflower|12v1|DV205853_T1
904
4433
208
94.85
glotblastn


WNU8_H475
avocado|10v1|CO996848_T1
905
4434
208
94.85
glotblastn


WNU8_H476
beet|12v1|AW697790_T1
906
4435
208
94.85
glotblastn


WNU8_H477
cannabis|12v1|GR222004_T1
907
4436
208
94.85
glotblastn


WNU8_H478
eschscholzia|11v1|SRR014116.105105_T1
908
4437
208
94.85
glotblastn


WNU8_H479
flaveria|11v1|SRR149229.114917_T1
909
4438
208
94.85
glotblastn


WNU8_H480
gossypium_raimondii|12v1|AI726186_T1
910
4439
208
94.85
glotblastn


WNU8_H481
maize|10v1|CD441766_T1
911
4440
208
94.85
glotblastn


WNU8_H482
rye|12v1|DRR001012.347328
912
4441
208
94.85
glotblastn


WNU8_H1031
castorbean|12v1|EE256050_P1
913
4442
208
94.7
globlastp


WNU8_H1032
castorbean|12v1|EG656787_P1
914
4442
208
94.7
globlastp


WNU8_H1033
olea|13v1|GFXAM946404X1_P1
915
4443
208
94.7
globlastp


WNU8_H1034
olea|13v1|SRR014463X20349D1_P1
916
4444
208
94.7
globlastp


WNU8_H1035
poplar|13v1|AI166447_P1
917
4445
208
94.7
globlastp


WNU8_H483
ambrosia|11v1|SRR346943.126871_P1
918
4446
208
94.7
globlastp


WNU8_H484
arabidopsis_lyrata|09v1|JGIAL000754_P1
919
4447
208
94.7
globlastp


WNU8_H485
arabidopsis_lyrata|09v1|JGIAL030663_P1
920
4447
208
94.7
globlastp


WNU8_H486
arabidopsis|10v1|AT1G07901_P1
921
4447
208
94.7
globlastp


WNU8_H487
arabidopsis|10v1|AT1G07930_P1
922
4447
208
94.7
globlastp


WNU8_H488
arabidopsis|10v1|AT1G07940_P1
923
4447
208
94.7
globlastp


WNU8_H489
arabidopsis|10v1|AT5G60390_P1
924
4447
208
94.7
globlastp


WNU8_H490
cacao|10v1|CA794319_P1
925
4448
208
94.7
globlastp


WNU8_H492
castorbean|11v1|EG656787
926
4442
208
94.7
globlastp


WNU8_H493
cirsium|11v1|SRR346952.102421_P1
927
4449
208
94.7
globlastp


WNU8_H494
cleome_spinosa|10v1|SRR015531S0002488_P1
928
4450
208
94.7
globlastp


WNU8_H495
coffea|10v1|CF588804_P1
929
4451
208
94.7
globlastp


WNU8_H496
cotton|11v1|AW187614_P1
930
4452
208
94.7
globlastp


WNU8_H497
cotton|11v1|BQ414984_P1
931
4452
208
94.7
globlastp


WNU8_H498
cucumber|09v1|CSCRP008322_P1
932
4453
208
94.7
globlastp


WNU8_H499
fraxinus|11v1|SRR058827.100679_P1
933
4454
208
94.7
globlastp


WNU8_H500
olea|11v1|SRR014463.10146
934
4455
208
94.7
globlastp


WNU8_H501
poplar|10v1|AI161969
935
4456
208
94.7
globlastp


WNU8_H502
sunflower|12v1|BU028740
936
4457
208
94.7
globlastp


WNU8_H503
sunflower|12v1|DY946305
937
4458
208
94.7
globlastp


WNU8_H504
thellungiella_halophilum|11v1|BM986048
938
4459
208
94.7
globlastp


WNU8_H505
thellungiella_halophilum|11v1|DN773185
939
4459
208
94.7
globlastp


WNU8_H506
thellungiella_halophilum|11v1|DN773401
940
4459
208
94.7
globlastp


WNU8_H507
thellungiella_halophilum|11v1|DN773796
941
4459
208
94.7
globlastp


WNU8_H508
triphysaria|10v1|BE574839
942
4460
208
94.7
globlastp


WNU8_H509
triphysaria|10v1|BM357290
943
4460
208
94.7
globlastp


WNU8_H510
valeriana|11v1|SRR099039X149703
944
4461
208
94.7
globlastp


WNU8_H511
foxtail_millet|11v3|SICRP094659_T1
945
4462
208
94.69
glotblastn


WNU8_H512
ambrosia|11v1|SRR346935.127621_T1
946
4463
208
94.63
glotblastn


WNU8_H513
castorbean|11v1|EG661854
947
4464
208
94.63
glotblastn


WNU8_H514
grape|11v1|CB288374_T1
948
4465
208
94.63
glotblastn


WNU8_H515
poppy|11v1|SRR030259.267771_T1
949
4466
208
94.63
glotblastn


WNU8_H516
sorghum|12v1|SB12V1CRP038294
950
4467
208
94.63
glotblastn


WNU8_H517
valeriana|11v1|SRR099039X100036
951
4468
208
94.63
glotblastn


WNU8_H518
wheat|12v3|AL820214
952
4469
208
94.63
glotblastn


WNU8_H1036
prunus_mume|13v1|AJ533915_P1
953
4470
208
94.6
globlastp


WNU8_H519
abies|11v2|SRR098676X101737_P1
954
4471
208
94.6
globlastp


WNU8_H520
amorphophallus|11v2|SRR089351X106775_P1
955
4472
208
94.6
globlastp


WNU8_H521
apple|11v1|CN860744_P1
956
4473
208
94.6
globlastp


WNU8_H522
artemisia|10v1|EY037542_P1
957
4474
208
94.6
globlastp


WNU8_H523
euonymus|11v1|SRR070038X100853_P1
958
4475
208
94.6
globlastp


WNU8_H524
euonymus|11v1|SRR070038X11282_P1
959
4476
208
94.6
globlastp


WNU8_H525
euphorbia|11v1|AW862626_P1
960
4477
208
94.6
globlastp


WNU8_H526
flax|11v1|CA482954_P1
961
4478
208
94.6
globlastp


WNU8_H527
flax|11v1|CV478249_P1
962
4478
208
94.6
globlastp


WNU8_H528
ipomoea_batatas|10v1|CB330042_P1
963
4479
208
94.6
globlastp


WNU8_H529
ipomoea_nil|10v1|BJ553094_P1
964
4480
208
94.6
globlastp


WNU8_H530
lolium|10v1|AU245749_P1
965
4481
208
94.6
globlastp


WNU8_H531
lolium|10v1|DT669536_P1
966
4482
208
94.6
globlastp


WNU8_H532
millet|10v1|EVO454PM009336_P1
967
4483
208
94.6
globlastp


WNU8_H533
oil_palm|11v1|EL608609_P1
968
4484
208
94.6
globlastp


WNU8_H534
oil_palm|11v1|EL681356XX1_P1
969
4485
208
94.6
globlastp


WNU8_H535
phalaenopsis|11v1|SRR125771.1013977_P1
970
4486
208
94.6
globlastp


WNU8_H536
poplar|10v1|AI161649
971
4487
208
94.6
globlastp


WNU8_H537
pseudotsuga|10v1|SRR065119S0000257
972
4488
208
94.6
globlastp


WNU8_H538
spikemoss|gb165|DN839525
973
4489
208
94.6
globlastp


WNU8_H539
trigonella|11v1|SRR066194X137675
974
4490
208
94.6
globlastp


WNU8_H540
trigonella|11v1|SRR066194X154517
975
4490
208
94.6
globlastp


WNU8_H541
tripterygium|11v1|SRR098677X101761
976
4491
208
94.6
globlastp


WNU8_H536
poplar|13v1|AI161506_T1
977
4492
208
94.41
glotblastn


WNU8_H542
b_juncea|12v1|E6ANDIZ01A0NBV_T1
978
4493
208
94.41
glotblastn


WNU8_H543
canola|11v1|SRR329671.156242_T1
979
4494
208
94.41
glotblastn


WNU8_H544
cichorium|gb171|AY378166_T1
980
4495
208
94.41
glotblastn


WNU8_H545
lotus|09v1|BP070850_T1
981
4496
208
94.41
glotblastn


WNU8_H546
oil_palm|11v1|EB643526_T1
982
4497
208
94.41
glotblastn


WNU8_H547
primula|11v1|SRR098679X113006_T1
983
4498
208
94.41
glotblastn


WNU8_H548
scabiosa|11v1|SRR063723X103333
984
4499
208
94.41
glotblastn


WNU8_H549
sugarcane|10v1|AF281361
985
4500
208
94.41
glotblastn


WNU8_H550
tomato|11v1|AI773886
986
4501
208
94.41
glotblastn


WNU8_H1037
bean|12v2|SRR001336.212815_P1
987
4502
208
94.4
globlastp


WNU8_H1038
monkeyflower|12v1|DV207107_P1
988
4503
208
94.4
globlastp


WNU8_H1039
monkeyflower|12v1|DV207353_P1
989
4503
208
94.4
globlastp


WNU8_H1040
monkeyflower|12v1|DV208772_P1
990
4503
208
94.4
globlastp


WNU8_H551
abies|11v2|SRR098676X100568_P1
991
4504
208
94.4
globlastp


WNU8_H552
amborella|12v3|CK749009_P1
992
4505
208
94.4
globlastp


WNU8_H554
cacao|10v1|CA795371_P1
993
4506
208
94.4
globlastp


WNU8_H555
cannabis|12v1|SOLX00017332_P1
994
4507
208
94.4
globlastp


WNU8_H556
catharanthus|11v1|EG554695_P1
995
4508
208
94.4
globlastp


WNU8_H557
catharanthus|11v1|EG555941_P1
996
4508
208
94.4
globlastp


WNU8_H558
catharanthus|11v1|EG557697_P1
997
4508
208
94.4
globlastp


WNU8_H559
cedrus|11v1|SRR065007X100199_P1
998
4509
208
94.4
globlastp


WNU8_H560
cedrus|11v1|SRR065007X10026_P1
999
4509
208
94.4
globlastp


WNU8_H561
cotton|11v1|BF268921_P1
1000
4510
208
94.4
globlastp


WNU8_H562
cotton|11v1|BF269646_P1
1001
4510
208
94.4
globlastp


WNU8_H563
euonymus|11v1|SRR070038X100282_P1
1002
4511
208
94.4
globlastp


WNU8_H564
euonymus|11v1|SRR070038X10269_P1
1003
4511
208
94.4
globlastp


WNU8_H565
euonymus|11v1|SRR070038X103854_P1
1004
4511
208
94.4
globlastp


WNU8_H566
euonymus|11v1|SRR070038X104549_P1
1005
4511
208
94.4
globlastp


WNU8_H567
euonymus|11v1|SRR070038X106777_P1
1006
4511
208
94.4
globlastp


WNU8_H568
euonymus|11v1|SRR070038X111303_P1
1007
4511
208
94.4
globlastp


WNU8_H569
euonymus|11v1|SRR070038X115972_P1
1008
4511
208
94.4
globlastp


WNU8_H570
euphorbia|11v1|AW862613_P1
1009
4512
208
94.4
globlastp


WNU8_H571
euphorbia|11v1|SRR098678X102266_P1
1010
4513
208
94.4
globlastp


WNU8_H572
fraxinus|11v1|SRR058827.102102_P1
1011
4514
208
94.4
globlastp


WNU8_H573
fraxinus|11v1|SRR058827.108997_P1
1012
4515
208
94.4
globlastp


WNU8_H574
gnetum|10v1|CB082379_P1
1013
4516
208
94.4
globlastp


WNU8_H575
hevea|10v1|EC601487_P1
1014
4517
208
94.4
globlastp


WNU8_H576
lettuce|12v1|CV700260_P1
1015
4518
208
94.4
globlastp


WNU8_H577
maritime_pine|10v1|AL749939_P1
1016
4519
208
94.4
globlastp


WNU8_H578
melon|10v1|DV631424_P1
1017
4520
208
94.4
globlastp


WNU8_H579
monkeyflower|10v1|DV205853
1018
4503
208
94.4
globlastp


WNU8_H580
monkeyflower|10v1|DV207107
1019
4503
208
94.4
globlastp


WNU8_H581
nasturtium|11v1|GH163859_P1
1020
4521
208
94.4
globlastp


WNU8_H582
oat|11v1|G0582886_P1
1021
4522
208
94.4
globlastp


WNU8_H583
pepper|12v1|BM063862_P1
1022
4523
208
94.4
globlastp


WNU8_H584
phalaenopsis|11v1|SRR125771.1001018_P1
1023
4524
208
94.4
globlastp


WNU8_H585
pine|10v2|H75081_P1
1024
4525
208
94.4
globlastp


WNU8_H586
podocarpus|10v1|SRR065014S0002906_P1
1025
4526
208
94.4
globlastp


WNU8_H587
prunus|10v1|AJ533915
1026
4527
208
94.4
globlastp


WNU8_H588
pseudotsuga|10v1|GFXAY832557X1
1027
4528
208
94.4
globlastp


WNU8_H589
pteridium|11v1|SRR043594X102541
1028
4529
208
94.4
globlastp


WNU8_H590
pteridium|11v1|SRR043594X104777
1029
4530
208
94.4
globlastp


WNU8_H591
salvia|10v1|FJ858191
1030
4531
208
94.4
globlastp


WNU8_H592
sequoia|10v1|SRR065044S0007394
1031
4532
208
94.4
globlastp


WNU8_H593
spikemoss|gb165|FE440656
1032
4533
208
94.4
globlastp


WNU8_H594
spruce|11v1|ES875403
1033
4534
208
94.4
globlastp


WNU8_H595
tabernaemontana|11v1|SRR098689X100678
1034
4535
208
94.4
globlastp


WNU8_H596
trigonella|11v1|SRR066194X74267
1035
4536
208
94.4
globlastp


WNU8_H597
tripterygium|11v1|SRR098677X107031
1036
4537
208
94.4
globlastp


WNU8_H598
valeriana|11v1|SRR099039X100438
1037
4538
208
94.4
globlastp


WNU8_H599
watermelon|11v1|AB029104
1038
4539
208
94.4
globlastp


WNU8_H600
watermelon|11v1|CK700722
1039
4539
208
94.4
globlastp


WNU8_H601
amorphophallus|11v2|SRR089351X100293_T1
1040
4540
208
94.22
glotblastn


WNU8_H602
rye|12v1|DRR001013.151108
1041
4541
208
94.21
glotblastn


WNU8_H1041
chickpea|13v2|GR915502_P1
1042
4542
208
94.2
globlastp


WNU8_H1042
chickpea|13v2|SRR133517.111803_P1
1043
4542
208
94.2
globlastp


WNU8_H1043
olea|13v1|SRR014463X11728D1_P1
1044
4543
208
94.2
globlastp


WNU8_H1044
prunus_mume|13v1|BU045587_P1
1045
4544
208
94.2
globlastp


WNU8_H1045
prunus_mume|13v1|SRR345679.95461_P1
1046
4545
208
94.2
globlastp


WNU8_H603
amborella|12v3|CO997427_P1
1047
4546
208
94.2
globlastp


WNU8_H604
amorphophallus|11v2|SRR089351X10941_P1
1048
4547
208
94.2
globlastp


WNU8_H605
arnica|11v1|SRR099034X100032_P1
1049
4548
208
94.2
globlastp


WNU8_H606
arnica|11v1|SRR099034X100335_P1
1050
4549
208
94.2
globlastp


WNU8_H607
arnica|11v1|SRR099034X103888_P1
1051
4550
208
94.2
globlastp


WNU8_H608
arnica|11v1|SRR099034X116643_P1
1052
4550
208
94.2
globlastp


WNU8_H609
catharanthus|11v1|EG554541_P1
1053
4551
208
94.2
globlastp


WNU8_H610
chickpea|11v1|GR915502
1054
4552
208
94.2
glotblastn


WNU8_H611
euonymus|11v1|SRR070038X43550_P1
1055
4553
208
94.2
globlastp


WNU8_H612
lettuce|12v1|DW046184_P1
1056
4554
208
94.2
globlastp


WNU8_H613
medicago|12v1|AW684157_P1
1057
4555
208
94.2
globlastp


WNU8_H614
olea|11v1|SRR014463.10556
1058
4556
208
94.2
globlastp


WNU8_H615
phalaenopsis|11v1|CK857786_P1
1059
4557
208
94.2
globlastp


WNU8_H616
poppy|11v1|SRR096789.104983_P1
1060
4558
208
94.2
globlastp


WNU8_H617
primula|11v1|SRR098679X101131_P1
1061
4559
208
94.2
globlastp


WNU8_H618
prunus|10v1|BU045587
1062
4560
208
94.2
globlastp


WNU8_H619
rose|12v1|BQ106350
1063
4561
208
94.2
globlastp


WNU8_H620
rose|12v1|SRR397984.101837
1064
4562
208
94.2
globlastp


WNU8_H621
scabiosa|11v1|SRR063723X101062
1065
4563
208
94.2
globlastp


WNU8_H622
strawberry|11v1|CO382086
1066
4564
208
94.2
globlastp


WNU8_H623
sunflower|12v1|EL418188
1067
4565
208
94.2
globlastp


WNU8_H624
thalictrum|11v1|SRR096787X100511
1068
4566
208
94.2
globlastp


WNU8_H625
triphysaria|10v1|BM356801
1069
4567
208
94.2
globlastp


WNU8_H626
triphysaria|10v1|DR174744
1070
4568
208
94.2
globlastp


WNU8_H627
valeriana|11v1|SRR099039X115328
1071
4569
208
94.2
globlastp


WNU8_H628
vinca|11v1|SRR098690X100355
1072
4570
208
94.2
globlastp


WNU8_H629
vinca|11v1|SRR098690X100729
1073
4571
208
94.2
globlastp


WNU8_H630
watermelon|11v1|BTM17968633162350
1074
4572
208
94.2
globlastp


WNU8_H500,
olea|13v1|SRR014463X10146D1_P1
1075
4556
208
94.2
globlastp


WNU8_H614


WNU8_H610,
chickpea|13v2|SRR133517.120898_P1
1076
4542
208
94.2
globlastp


WNU8_H997


WNU8_H1046
switchgrass|12v1|FL854656_T1
1077
4573
208
94.18
glotblastn


WNU8_H631
ambrosia|11v1|SRR346935.194619_T1
1078
4574
208
94.18
glotblastn


WNU8_H632
b_juncea|12v1|E6ANDIZ01A09HC_T1
1079
4575
208
94.18
glotblastn


WNU8_H633
b_juncea|12v1|E6ANDIZ01BA83M_T1
1080
4576
208
94.18
glotblastn


WNU8_H634
beech|11v1|SRR006293.20105_T1
1081
4577
208
94.18
glotblastn


WNU8_H635
castorbean|11v1|RCPRD029589
1082
4578
208
94.18
glotblastn


WNU8_H636
gossypium_raimondii|12v1|GR12V1PRD009747_T1
1083
4579
208
94.18
glotblastn


WNU8_H637
phalaenopsis|11v1|CB032056_T1
1084
4580
208
94.18
glotblastn


WNU8_H638
poppy|11v1|SRR030267.285961_T1
1085
4581
208
94.18
glotblastn


WNU8_H639
gossypium_raimondii|12v1|SRR032367.1025615_T1
1086
4582
208
94.01
glotblastn


WNU8_H640
ambrosia|11v1|SRR346943.100746_P1
1087
4583
208
94
globlastp


WNU8_H641
aquilegia|10v2|DR920295_P1
1088
4584
208
94
globlastp


WNU8_H642
arnica|11v1|SRR099034X100789_P1
1089
4585
208
94
globlastp


WNU8_H643
b_juncea|12v1|E6ANDIZ01A00QZ_P1
1090
4586
208
94
globlastp


WNU8_H644
b_juncea|12v1|E6ANDIZ01A04RE_P1
1091
4586
208
94
globlastp


WNU8_H645
b_juncea|12v1|E6ANDIZ01A05I7_P1
1092
4587
208
94
globlastp


WNU8_H646
b_juncea|12v1|E6ANDIZ01A0DRC_P1
1093
4586
208
94
globlastp


WNU8_H647
b_juncea|12v1|E6ANDIZ01A1Q2C_P1
1094
4586
208
94
globlastp


WNU8_H648
b_juncea|12v1|E6ANDIZ01A1T4L_P1
1095
4586
208
94
globlastp


WNU8_H649
b_juncea|12v1|E6ANDIZ01A2YFN_P1
1096
4586
208
94
globlastp


WNU8_H650
b_juncea|12v1|E6ANDIZ01A3XGA_P1
1097
4586
208
94
globlastp


WNU8_H651
b_juncea|12v1|E6ANDIZ01A4TRW1_P1
1098
4586
208
94
globlastp


WNU8_H652
b_juncea|12v1|E6ANDIZ01A4TV2_P1
1099
4586
208
94
globlastp


WNU8_H653
b_juncea|12v1|E6ANDIZ01A6O5I_P1
1100
4586
208
94
globlastp


WNU8_H654
b_juncea|12v1|E6ANDIZ01A71DP_P1
1101
4586
208
94
globlastp


WNU8_H655
b_juncea|12v1|E6ANDIZ01A7UYD_P1
1102
4586
208
94
globlastp


WNU8_H656
b_juncea|12v1|E6ANDIZ01A8EX1_P1
1103
4586
208
94
globlastp


WNU8_H657
b_juncea|12v1|E6ANDIZ01A98K5_P1
1104
4586
208
94
globlastp


WNU8_H658
b_juncea|12v1|E6ANDIZ01AESP5_P1
1105
4586
208
94
globlastp


WNU8_H659
b_juncea|12v1|E6ANDIZ01AO6V5_P1
1106
4586
208
94
globlastp


WNU8_H660
b_juncea|12v1|E6ANDIZ01AR2C5_P1
1107
4586
208
94
globlastp


WNU8_H661
b_rapa|11v1|BG543067_P1
1108
4586
208
94
globlastp


WNU8_H662
b_rapa|11v1|BG543807_P1
1109
4586
208
94
globlastp


WNU8_H663
b_rapa|11v1|BNU21744_P1
1110
4586
208
94
globlastp


WNU8_H664
b_rapa|11v1|BQ791801_P1
1111
4586
208
94
globlastp


WNU8_H665
b_rapa|11v1|CD813870_P1
1112
4586
208
94
globlastp


WNU8_H666
b_rapa|11v1|L38205_P1
1113
4586
208
94
globlastp


WNU8_H667
canola|11v1|AI352739_P1
1114
4586
208
94
globlastp


WNU8_H668
canola|11v1|CB331912_P1
1115
4586
208
94
globlastp


WNU8_H669
canola|11v1|CN726590_P1
1116
4586
208
94
globlastp


WNU8_H670
canola|11v1|CN729818_P1
1117
4586
208
94
globlastp


WNU8_H671
canola|11v1|CN729909_P1
1118
4586
208
94
globlastp


WNU8_H672
canola|11v1|CN730343_P1
1119
4586
208
94
globlastp


WNU8_H673
canola|11v1|CN730658_P1
1120
4586
208
94
globlastp


WNU8_H674
canola|11v1|CN730882_P1
1121
4586
208
94
globlastp


WNU8_H675
canola|11v1|CN735190_P1
1122
4586
208
94
globlastp


WNU8_H676
canola|11v1|CN735423_P1
1123
4586
208
94
globlastp


WNU8_H677
canola|11v1|CN826026XX1_P1
1124
4586
208
94
globlastp


WNU8_H678
canola|11v1|CN826539_P1
1125
4586
208
94
globlastp


WNU8_H679
canola|11v1|CN827011_P1
1126
4586
208
94
globlastp


WNU8_H680
canola|11v1|CN827537_P1
1127
4586
208
94
globlastp


WNU8_H681
canola|11v1|CN828604_P1
1128
4586
208
94
globlastp


WNU8_H682
canola|11v1|DY001542_P1
1129
4586
208
94
globlastp


WNU8_H683
canola|11v1|DY002283_P1
1130
4586
208
94
globlastp


WNU8_H684
canola|11v1|DY010813_P1
1131
4586
208
94
globlastp


WNU8_H685
canola|11v1|EE476856_P1
1132
4586
208
94
globlastp


WNU8_H686
canola|11v1|EE551290_P1
1133
4586
208
94
globlastp


WNU8_H687
canola|11v1|EG020415_P1
1134
4586
208
94
globlastp


WNU8_H688
canola|11v1|SRR019557.37092_P1
1135
4586
208
94
globlastp


WNU8_H689
distylium|11v1|SRR065077X100439_P1
1136
4588
208
94
globlastp


WNU8_H690
epimedium|11v1|SRR013502.10405_P1
1137
4589
208
94
globlastp


WNU8_H691
euonymus|11v1|SRR070038X101785_P1
1138
4590
208
94
globlastp


WNU8_H692
euonymus|11v1|SRR070038X103768_P1
1139
4591
208
94
globlastp


WNU8_H693
marchantia|gb166|BJ841010_P1
1140
4592
208
94
globlastp


WNU8_H694
nasturtium|11v1|SRR032558.348984_P1
1141
4593
208
94
globlastp


WNU8_H695
oat|11v1|CN816326_P1
1142
4594
208
94
globlastp


WNU8_H696
oat|11v1|GO584378_P1
1143
4595
208
94
globlastp


WNU8_H697
oat|11v1|GO586922_P1
1144
4594
208
94
globlastp


WNU8_H698
oat|11v1|GR313243_P1
1145
4594
208
94
globlastp


WNU8_H699
oat|11v1|GR313302_P1
1146
4595
208
94
globlastp


WNU8_H700
oat|11v1|GR313710_P1
1147
4594
208
94
globlastp


WNU8_H701
poplar|10v1|AI166447
1148
4596
208
94
globlastp


WNU8_H702
sequoia|10v1|SRR065044S0000261
1149
4597
208
94
globlastp


WNU8_H703
taxus|10v1|SRR032523S0007597
1150
4598
208
94
globlastp


WNU8_H723
poplar|13v1|AI162399_P1
1151
4599
208
94
globlastp


WNU8_H724
poplar|13v1|AI165649_P1
1152
4600
208
94
globlastp


WNU8_H704
prunus|10v1|CN917657
1153
4601
208
93.99
glotblastn


WNU8_H1047
chickpea|13v2|SRR133517.120108_T1
1154
4602
208
93.97
glotblastn


WNU8_H705
castorbean|11v1|RCPRD007088
1155
4603
208
93.97
glotblastn


WNU8_H706
b_juncea|12v1|E6ANDIZ01AESGE_T1
1156
4604
208
93.96
glotblastn


WNU8_H707
banana|12v1|FL657364_T1
1157
4605
208
93.96
glotblastn


WNU8_H708
fraxinus|11v1|SRR058827.102633XX1_T1
1158
4606
208
93.96
glotblastn


WNU8_H709
maize|10v1|FL097864_T1
1159
4607
208
93.96
glotblastn


WNU8_H710
soybean|11v1|BE474039
1160
4608
208
93.96
glotblastn


WNU8_H711
soybean|11v1|BG839367
1161
4609
208
93.96
glotblastn


WNU8_H712
taxus|10v1|SRR065067S0001016
1162
4610
208
93.96
glotblastn


WNU8_H713
castorbean|11v1|SRR020784.101496
1163
4611
208
93.81
glotblastn


WNU8_H1048
monkeyflower|12v1|CV521399_P1
1164
4612
208
93.8
globlastp


WNU8_H1049
olea|13v1|SRR592583X197957D1_P1
1165
4613
208
93.8
globlastp


WNU8_H714
b_juncea|12v1|E6ANDIZ01A3EP6_P1
1166
4614
208
93.8
globlastp


WNU8_H715
b_juncea|12v1|E6ANDIZ01AQ7GF_P1
1167
4615
208
93.8
globlastp


WNU8_H716
b_rapa|11v1|BG544735_P1
1168
4616
208
93.8
globlastp


WNU8_H717
lettuce|12v1|BQ981354_P1
1169
4617
208
93.8
globlastp


WNU8_H718
medicago|12v1|CX524501_P1
1170
4618
208
93.8
globlastp


WNU8_H719
monkeyflower|10v1|CV521399
1171
4612
208
93.8
globlastp


WNU8_H720
pine|10v2|AW010032_P1
1172
4619
208
93.8
globlastp


WNU8_H721
pine|10v2|AW010442_P1
1173
4619
208
93.8
globlastp


WNU8_H722
plantago|11v2|SRR066373X111879_P1
1174
4620
208
93.8
globlastp


WNU8_H723
poplar|10v1|AI162399
1175
4621
208
93.8
globlastp


WNU8_H724
poplar|10v1|AI165649
1176
4622
208
93.8
globlastp


WNU8_H725
poplar|10v1|BI069666
1177
4623
208
93.8
globlastp


WNU8_H725
poplar|13v1|BI069666_P1
1178
4623
208
93.8
globlastp


WNU8_H726
sunflower|12v1|DY934396
1179
4624
208
93.8
globlastp


WNU8_H727
trigonella|11v1|SRR066194X124381
1180
4625
208
93.8
globlastp


WNU8_H728
ambrosia|11v1|SRR346935.275617_T1
1181
4626
208
93.76
glotblastn


WNU8_H729
b_juncea|12v1|E6ANDIZ01A3Y8Q_T1
1182
4627
208
93.74
glotblastn


WNU8_H730
oil_palm|11v1|EL684389XX2_T1
1183
4628
208
93.74
glotblastn


WNU8_H731
poppy|11v1|SRR030259.134858_T1
1184
4629
208
93.74
glotblastn


WNU8_H732
vinca|11v1|SRR098690X101781
1185
4630
208
93.74
glotblastn


WNU8_H1050
chickpea|13v2|SRR133517.233336_P1
1186
4631
208
93.7
globlastp


WNU8_H1051
zostera|12v1|SRR057351X102271D1_P1
1187
4632
208
93.7
globlastp


WNU8_H733
cephalotaxus|11v1|SRR064395X100427_P1
1188
4633
208
93.7
globlastp


WNU8_H734
euonymus|11v1|SRR070038X176037_P1
1189
4634
208
93.7
globlastp


WNU8_H735
gnetum|10v1|SRR064399S0001449_P1
1190
4635
208
93.7
globlastp


WNU8_H736
oil_palm|11v1|ES414440XX1_P1
1191
4636
208
93.7
globlastp


WNU8_H737
sciadopitys|10v1|SRR065035S0000206
1192
4637
208
93.7
globlastp


WNU8_H738
spruce|11v1|SRR064180X11301
1193
4638
208
93.7
globlastp


WNU8_H739
tripterygium|11v1|SRR098677X101200
1194
4639
208
93.7
globlastp


WNU8_H740
zostera|10v1|AM766058
1195
4632
208
93.7
globlastp


WNU8_H741
eucalyptus|11v2|CU397481_T1
1196
4640
208
93.54
glotblastn


WNU8_H742
thellungiella_halophilum|11v1|DN776912
1197
4641
208
93.54
glotblastn


WNU8_H743
aquilegia|10v2|CRPAC006620_T1
1198
4642
208
93.51
glotblastn


WNU8_H744
b_rapa|11v1|AM395184_T1
1199
4643
208
93.51
glotblastn


WNU8_H745
b_rapa|11v1|CX190853_T1
1200
4644
208
93.51
glotblastn


WNU8_H746
b_rapa|11v1|L37459_T1
1201
4645
208
93.51
glotblastn


WNU8_H747
cacao|10v1|CRPTC024018_T1
1202
4646
208
93.51
glotblastn


WNU8_H748
ceratodon|10v1|SRR074890S0073885_T1
1203
4647
208
93.51
glotblastn


WNU8_H749
oat|11v1|CN818507_T1
1204
4648
208
93.51
glotblastn


WNU8_H750
primula|11v1|SRR098679X221186_T1
1205
4649
208
93.51
glotblastn


WNU8_H751
primula|11v1|SRR098682X115682_T1
1206
4650
208
93.51
glotblastn


WNU8_H752
tomato|11v1|BI919315
1207
4651
208
93.51
glotblastn


WNU8_H1052
olea|13v1|SRR014463X22600D1_P1
1208
4652
208
93.5
globlastp


WNU8_H753
ceratodon|10v1|SRR074890S0003758_P1
1209
4653
208
93.5
globlastp


WNU8_H754
ceratodon|10v1|SRR074890S0004771_P1
1210
4653
208
93.5
globlastp


WNU8_H755
ceratodon|10v1|SRR074890S0005849_P1
1211
4653
208
93.5
globlastp


WNU8_H756
ceratodon|10v1|SRR074890S0006087_P1
1212
4653
208
93.5
globlastp


WNU8_H757
ceratodon|10v1|SRR074890S0018183_P1
1213
4653
208
93.5
globlastp


WNU8_H758
ceratodon|10v1|SRR074890S0020766_P1
1214
4653
208
93.5
globlastp


WNU8_H759
ceratodon|10v1|SRR074890S0027994_P1
1215
4653
208
93.5
globlastp


WNU8_H760
ceratodon|10v1|SRR074890S0031249_P1
1216
4653
208
93.5
globlastp


WNU8_H761
ceratodon|10v1|SRR074890S0033316_P1
1217
4653
208
93.5
globlastp


WNU8_H762
ceratodon|10v1|SRR074890S0046096_P1
1218
4653
208
93.5
globlastp


WNU8_H763
ceratodon|10v1|SRR074890S0048907_P1
1219
4653
208
93.5
globlastp


WNU8_H764
ceratodon|10v1|SRR074890S0386187_P1
1220
4653
208
93.5
globlastp


WNU8_H765
ceratodon|10v1|SRR074890S0537086_P1
1221
4653
208
93.5
globlastp


WNU8_H766
ceratodon|10v1|SRR074890S0648778_P1
1222
4653
208
93.5
globlastp


WNU8_H767
ceratodon|10v1|SRR074890S0653196_P1
1223
4653
208
93.5
globlastp


WNU8_H768
ceratodon|10v1|SRR074890S0680883_P1
1224
4653
208
93.5
globlastp


WNU8_H769
ceratodon|10v1|SRR074890S1275775_P1
1225
4653
208
93.5
globlastp


WNU8_H770
ceratodon|10v1|SRR074890S1284354_P1
1226
4653
208
93.5
globlastp


WNU8_H771
ceratodon|10v1|SRR074890S1349436_P1
1227
4653
208
93.5
globlastp


WNU8_H772
ceratodon|10v1|SRR074890S1778058_P1
1228
4653
208
93.5
globlastp


WNU8_H773
ceratodon|10v1|SRR074891S0984886_P1
1229
4653
208
93.5
globlastp


WNU8_H774
cucumber|09v1|CSCRP010330_P1
1230
4654
208
93.5
globlastp


WNU8_H775
eucalyptus|11v2|CT981337_P1
1231
4655
208
93.5
globlastp


WNU8_H776
fraxinus|11v1|SRR058827.10011_P1
1232
4656
208
93.5
globlastp


WNU8_H777
marchantia|gb166|C96106_P1
1233
4657
208
93.5
globlastp


WNU8_H778
medicago|12v1|AW329865_P1
1234
4658
208
93.5
globlastp


WNU8_H779
oil_palm|11v1|SRR190698.104132_P1
1235
4659
208
93.5
globlastp


WNU8_H780
olea|11v1|SRR014463.17060
1236
4660
208
93.5
globlastp


WNU8_H803
ambrosia|11v1|SRR346949.167891_T1
1262
4686
208
93.1
glotblastn


WNU8_H804
b_rapa|11v1|L47954_P1
1263
4687
208
93.1
globlastp


WNU8_H805
bruguiera|gb166|AB073629_P1
1264
4688
208
93.1
globlastp


WNU8_H806
distylium|11v1|SRR065077X104496_P1
1265
4689
208
93.1
globlastp


WNU8_H807
millet|10v1|EVO454PM002208_P1
1266
4690
208
93.1
globlastp


WNU8_H808
sciadopitys|10v1|SRR065035S0001689
1267
4691
208
93.1
globlastp


WNU8_H809
spikemoss|gb165|FE427444
1268
4692
208
93.1
globlastp


WNU8_H810
ambrosia|11v1|GW917875_T1
1269
4693
208
93.06
glotblastn


WNU8_H811
ambrosia|11v1|SRR346935.107782_T1
1270
4694
208
93.06
glotblastn


WNU8_H812
canola|11v1|SRR329670.105751_T1
1271
4695
208
93.06
glotblastn


WNU8_H813
ceratodon|10v1|SRR074890S0034678_T1
1272
4696
208
93.06
glotblastn


WNU8_H814
ceratodon|10v1|SRR074890S0476895_T1
1273
4697
208
93.06
glotblastn


WNU8_H815
poppy|11v1|SRR030259.112775_T1
1274
4698
208
93.06
glotblastn


WNU8_H816
bean|12v1|PVPRD017895
1275
4699
208
92.9
glotblastn


WNU8_H817
canola|11v1|DY006918_P1
1276
4700
208
92.9
globlastp


WNU8_H818
flaveria|11v1|SRR149232.106901_P1
1277
4701
208
92.9
globlastp


WNU8_H819
b_rapa|11v1|CX271716_T1
1278
4702
208
92.89
glotblastn


WNU8_H820
flaveria|11v1|SRR149229.10363_T1
1279
4703
208
92.86
glotblastn


WNU8_H821
ceratodon|10v1|SRR074890S0009329_T1
1280
4704
208
92.84
glotblastn


WNU8_H822
ceratodon|10v1|SRR074890S0071772_T1
1281
4705
208
92.84
glotblastn


WNU8_H823
fraxinus|11v1|SRR058827.105562_T1
1282
4706
208
92.84
glotblastn


WNU8_H824
oil_palm|11v1|ES273650_P1
1283
4707
208
92.8
globlastp


WNU8_H825
physcomitrella|10v1|AW126661_P1
1284
4708
208
92.8
globlastp


WNU8_H826
physcomitrella|10v1|AW145494_P1
1285
4708
208
92.8
globlastp


WNU8_H827
physcomitrella|10v1|AW509897_P1
1286
4708
208
92.8
globlastp


WNU8_H828
physcomitrella|10v1|AW738891_P1
1287
4709
208
92.8
globlastp


WNU8_H829
ceratodon|10v1|SRR074890S0609797_P1
1288
4710
208
92.7
globlastp


WNU8_H830
millet|10v1|CD725988_P1
1289
4711
208
92.7
globlastp


WNU8_H831
pseudotsuga|10v1|GFXAY832556X1
1290
4712
208
92.7
glotblastn


WNU8_H1054
chickpea|13v2|SRR133517.249466_T1
1291
4713
208
92.68
glotblastn


WNU8_H832
ceratodon|10v1|SRR074890S0005119_T1
1292
4714
208
92.62
glotblastn


WNU8_H833
cucurbita|11v1|SRR091276X121433_T1
1293
4715
208
92.62
glotblastn


WNU8_H834
fraxinus|11v1|SRR058827.10879_T1
1294
4716
208
92.62
glotblastn


WNU8_H835
phalaenopsis|11v1|CB031989_T1
1295
4717
208
92.62
glotblastn


WNU8_H836
poppy|11v1|SRR030263.430570_T1
1296
4718
208
92.62
glotblastn


WNU8_H837
physcomitrella|10v1|AJ225418_P1
1297
4719
208
92.6
globlastp


WNU8_H838
physcomitrella|10v1|AW145551_P1
1298
4719
208
92.6
globlastp


WNU8_H839
physcomitrella|10v1|BJ160016_P1
1299
4720
208
92.6
globlastp


WNU8_H840
physcomitrella|10v1|BJ186660_P1
1300
4721
208
92.6
globlastp


WNU8_H841
canola|11v1|DY005831_P1
1301
4722
208
92.4
globlastp


WNU8_H842
canola|11v1|EE420703_T1
1302
4723
208
92.39
glotblastn


WNU8_H843
ceratodon|10v1|SRR074890S0004170_T1
1303
4724
208
92.39
glotblastn


WNU8_H844
cotton|11v1|CO132300_T1
1304
4725
208
92.39
glotblastn


WNU8_H845
phalaenopsis|11v1|SRR125771.1377153_P1
1305
4726
208
92.3
globlastp


WNU8_H846
ambrosia|11v1|SRR346935.202314_P1
1306
4727
208
92.2
globlastp


WNU8_H847
centaurea|11v1|EH788025_P1
1307
4728
208
92.2
globlastp


WNU8_H848
cucumber|09v1|AB029104_P1
1308
4729
208
92.2
globlastp


WNU8_H849
flaveria|11v1|SRR149229.294193XX2_P1
1309
4730
208
92.2
globlastp


WNU8_H850
ceratodon|10v1|SRR074890S0327696_P1
1310
4731
208
92
globlastp


WNU8_H851
ceratodon|10v1|SRR074890S0008588_T1
1311
4732
208
91.96
glotblastn


WNU8_H852
ambrosia|11v1|SRR346935.24735_T1
1312
4733
208
91.95
glotblastn


WNU8_H853
eschscholzia|11v1|CD478773_T1
1313
4734
208
91.72
glotblastn


WNU8_H854
ambrosia|11v1|SRR346935.100197_P1
1314
4735
208
91.7
globlastp


WNU8_H855
trigonella|11v1|SRR066194X118591
1315
4736
208
91.7
globlastp


WNU8_H856
ceratodon|10v1|SRR074890S0010775_T1
1316
4737
208
91.52
glotblastn


WNU8_H857
poppy|11v1|SRR030261.55346_P1
1317
4738
208
91.5
globlastp


WNU8_H858
ceratodon|10v1|SRR074890S0104947_P1
1318
4739
208
91.3
globlastp


WNU8_H859
wheat|12v3|BF201530
1319
4740
208
91.3
globlastp


WNU8_H860
ambrosia|11v1|SRR346935.365378_T1
1320
4741
208
91.28
glotblastn


WNU8_H861
gossypium_raimondii|12v1|BG445555_T1
1321
4742
208
91.28
glotblastn


WNU8_H862
oak|10v1|DB998061_T1
1322
4743
208
91.28
glotblastn


WNU8_H863
sunflower|12v1|CF094003
1323
4744
208
91.28
glotblastn


WNU8_H864
flaveria|11v1|SRR149229.180096_P1
1324
4745
208
91.1
globlastp


WNU8_H865
pteridium|11v1|GW575201
1325
4746
208
91.1
globlastp


WNU8_H866
rye|12v1|DRR001012.135089
1326
4747
208
91.1
globlastp


WNU8_H867
utricularia|11v1|SRR094438.100291
1327
4748
208
90.9
globlastp


WNU8_H868
canola|11v1|EE540074_T1
1328
4749
208
90.83
glotblastn


WNU8_H869
ambrosia|11v1|SRR346935.122905_T1
1329
4750
208
90.6
glotblastn


WNU8_H870
rye|12v1|DRR001012.115547
1330
4751
208
90.6
globlastp


WNU8_H871
ambrosia|11v1|SRR346943.132429_P1
1331
4752
208
90.4
globlastp


WNU8_H872
oak|10v1|CU657890_P1
1332
4753
208
90.4
globlastp


WNU8_H873
artemisia|10v1|SRR019254S0035817_T1
1333
4754
208
90.38
glotblastn


WNU8_H874
gossypium_raimondii|12v1|FE896850_T1
1334
4755
208
90.38
glotblastn


WNU8_H875
ambrosia|11v1|SRR346935.118240_P1
1335
4756
208
90.3
globlastp


WNU8_H876
medicago|12v1|CB892601_P1
1336
4757
208
90.3
globlastp


WNU8_H877
amorphophallus|11v2|SRR089351X12124_T1
1337
4758
208
90.27
glotblastn


WNU8_H878
oat|11v1|GO586059_P1
1338
4759
208
90.2
globlastp


WNU8_H879
fraxinus|11v1|SRR058827.106715_T1
1339
4760
208
90.18
glotblastn


WNU8_H880
aquilegia|10v2|DR926759_P1
1340
4761
208
89.9
globlastp


WNU8_H881
b_rapa|11v1|EE534476_T1
1341
4762
208
89.71
glotblastn


WNU8_H882
strawberry|11v1|SRR034859S0001435
1342
4763
208
89.71
glotblastn


WNU8_H883
millet|10v1|EVO454PM023538_P1
1343
4764
208
89.7
globlastp


WNU8_H1055
chickpea|13v2|SRR133517.18034_T1
1344
4765
208
89.65
glotblastn


WNU8_H884
flaveria|11v1|SRR149229.2566_P1
1345
4766
208
89.5
globlastp


WNU8_H885
millet|10v1|CD724605_T1
1346
4767
208
89.49
glotblastn


WNU8_H886
b_juncea|12v1|E6ANDIZ01ANL2J_P1
1347
4768
208
89.4
globlastp


WNU8_H887
rye|12v1|BE586334
1348
4769
208
89.3
globlastp


WNU8_H888
rye|12v1|DRR001012.109643
1349
4769
208
89.3
globlastp


WNU8_H889
millet|10v1|EVO454PM261173_T1
1350
4770
208
89.04
glotblastn


WNU8_H890
canola|11v1|CN730466_P1
1351
4771
208
88.9
globlastp


WNU8_H891
curcuma|10v1|DY383453_T1
1352
4772
208
88.81
glotblastn


WNU8_H892
rye|12v1|DRR001012.420786
1353
4773
208
88.81
glotblastn


WNU8_H893
tobacco|gb162|AF120093
1354
4774
208
88.7
globlastp


WNU8_H894
canola|11v1|DY001946_P1
1355
4775
208
88.3
globlastp


WNU8_H895
rye|12v1|BE494657
1356
4776
208
88.2
globlastp


WNU8_H896
solanum_phureja|09v1|SPHR28725
1357
4777
208
88.17
glotblastn


WNU8_H897
cotton|11v1|BG447263_P1
1358
4778
208
88.1
globlastp


WNU8_H898
ceratodon|10v1|SSRR074890S0038570_T1
1359
4779
208
87.97
glotblastn


WNU8_H899
pine|10v2|AA556685_T1
1360
4780
208
87.92
glotblastn


WNU8_H900
pine|10v2|CD020050_T1
1361
4780
208
87.92
glotblastn


WNU8_H901
rye|12v1|DRR001012.248566
1362
4781
208
87.9
globlastp


WNU8_H902
oak|10v1|DB998952_P1
1363
4782
208
87.7
globlastp


WNU8_H903
wheat|12v3|BI751305
1364
4783
208
87.69
glotblastn


WNU8_H904
wheat|12v3|BE407061
1365
4784
208
87
globlastp


WNU8_H905
poppy|11v1|SRR030265.155045_T1
1366
4785
208
86.67
glotblastn


WNU8_H906
canola|11v1|SRR019559.16344_T1
1367
4786
208
86.58
glotblastn


WNU8_H907
arabidopsis_lyrata|09v1|JGIAL000755_P1
1368
4787
208
86.5
globlastp


WNU8_H908
flaveria|11v1|SRR149232.37699_T1
1369
4788
208
86.41
glotblastn


WNU8_H909
fraxinus|11v1|SRR058827.109980_P1
1370
4789
208
86.4
globlastp


WNU8_H910
canola|11v1|SRR001111.56668_T1
1371
4790
208
86.35
glotblastn


WNU8_H911
wheat|12v3|BE418902
1372
4791
208
86.3
globlastp


WNU8_H912
ceratodon|10v1|SSRR074890S0013208_T1
1373
4792
208
86.13
glotblastn


WNU8_H913
foxtail_millet|11v3|SIPRD012298_T1
1374
4793
208
86.12
glotblastn


WNU8_H914
b_juncea|12v1|E6ANDIZ01A0SLK_P1
1375
4794
208
86.1
globlastp


WNU8_H915
cotton|11v1|ES813128_P1
1376
4795
208
86.1
globlastp


WNU8_H916
millet|10v1|EVO454PM014933_P1
1377
4796
208
86.1
globlastp


WNU8_H917
wheat|12v3|BE500164
1378
4797
208
86.1
globlastp


WNU8_H918
maize|10v1|BT016906_T1
1379
4798
208
86
glotblastn


WNU8_H919
millet|10v1|EVO454PM094844_P1
1380
4799
208
85.9
globlastp


WNU8_H920
poppy|11v1|SRR096789.106870_P1
1381
4800
208
85.9
globlastp


WNU8_H921
eschscholzia|11v1|CD479225_P1
1382
4801
208
85.7
globlastp


WNU8_H922
rye|12v1|BE705268
1383
4802
208
85.7
globlastp


WNU8_H923
trigonella|11v1|SRR066195X227497
1384
4803
208
85.7
globlastp


WNU8_H924
oak|10v1|CU639938_P1
1385
4804
208
85.5
globlastp


WNU8_H1056
nicotiana_benthamiana|12v1|AF154660_T1
1386
4805
208
85.34
glotblastn


WNU8_H1057
switchgrass|12v1|FE599218_P1
1387
4806
208
85.2
globlastp


WNU8_H925
eschscholzia|11v1|CD479412_P1
1388
4807
208
85.2
globlastp


WNU8_H926
oak|10v1|FP029259_P1
1389
4808
208
85.2
globlastp


WNU8_H927
rye|12v1|DRR001013.218454
1390
4809
208
85.01
glotblastn


WNU8_H928
cotton|11v1|BE054260_P1
1391
4810
208
85
globlastp


WNU8_H929
eschscholzia|11v1|CV000181_P1
1392
4811
208
85
globlastp


WNU8_H930
foxtail_millet|11v3|PHY7SI030042M_P1
1393
4812
208
85
globlastp


WNU8_H931
flaveria|11v1|SRR149232.101059_P1
1394
4813
208
84.9
globlastp


WNU8_H932
flaveria|11v1|SRR149232.113793_P1
1395
4814
208
84.9
globlastp


WNU8_H933
banana|12v1|HQ853243_T1
1396
4815
208
84.86
glotblastn


WNU8_H934
amorphophallus|11v2|SRR089351X102337_P1
1397
4816
208
84.8
globlastp


WNU8_H935
flaveria|11v1|SRR149229.124813_P1
1398
4817
208
84.8
globlastp


WNU8_H936
millet|10v1|EVO454PM040965_P1
1399
4818
208
84.8
globlastp


WNU8_H937
poppy|11v1|SRR096789.103347_P1
1400
4819
208
84.8
globlastp


WNU8_H938
thalictrum|11v1|SRR096787X100429
1401
4820
208
84.79
glotblastn


WNU8_H939
ambrosia|11v1|GR935679_P1
1402
4821
208
84.6
globlastp


WNU8_H940
ambrosia|11v1|SRR346943.103270_P1
1403
4821
208
84.6
globlastp


WNU8_H941
pineapple|10v1|DT336013_P1
1404
4822
208
84.6
globlastp


WNU8_H942
poppy|11v1|SRR096789.101574_P1
1405
4823
208
84.6
globlastp


WNU8_H943
trigonella|11v1|SRR066194X102555
1406
4824
208
84.6
globlastp


WNU8_H944
salvia|10v1|CV162295
1407
4825
208
84.4
globlastp


WNU8_H945
flaveria|11v1|SRR149229.176629_T1
1408
4826
208
84.34
glotblastn


WNU8_H946
sunflower|12v1|CD848771
1409
4827
208
84.2
globlastp


WNU8_H947
eschscholzia|11v1|CD478050_T1
1410
4828
208
84.12
glotblastn


WNU8_H948
primula|11v1|SRR098679X101476_T1
1411
4829
208
84.07
glotblastn


WNU8_H1058
switchgrass|12v1|DN142142_P1
1412
4830
208
83.9
globlastp


WNU8_H949
ambrosia|11v1|SRR346935.258794_P1
1413
4831
208
83.9
globlastp


WNU8_H950
b_juncea|12v1|E6ANDIZ01A06P6_T1
1414
4832
208
83.89
glotblastn


WNU8_H951
millet|10v1|EB410919_P1
1415
4833
208
83.7
globlastp


WNU8_H952
poppy|11v1|SRR030259.104199_P1
1416
4834
208
83.7
globlastp


WNU8_H953
rye|12v1|DRR001012.472868
1417
4835
208
83.7
globlastp


WNU8_H954
tobacco|gb162|EB442628
1418
4836
208
83.7
globlastp


WNU8_H955
ambrosia|11v1|SRR346935.272068_T1
1419
4837
208
83.67
glotblastn


WNU8_H956
phalaenopsis|11v1|SRR125771.1004285_T1
1420
4838
208
83.67
glotblastn


WNU8_H957
canola|11v1|EE503309_T1
1421
4839
208
83.59
glotblastn


WNU8_H1059
poplar|13v1|SRR037106.322926_T1
1422
4840
208
83.5
glotblastn


WNU8_H958
utricularia|11v1|SRR094438.101387
1423
4841
208
83.5
globlastp


WNU8_H959
euonymus|11v1|SRR070038X11029_P1
1424
4842
208
83.4
globlastp


WNU8_H960
flaveria|11v1|SRR149232.121875_P1
1425
4843
208
83.4
globlastp


WNU8_H961
b_juncea|12v1|E6ANDIZ01A3F2Z_P1
1426
4844
208
83.3
globlastp


WNU8_H962
banana|12v1|ES432203_T1
1427
4845
208
83.22
glotblastn


WNU8_H963
wheat|12v3|BQ245085
1428
4846
208
83.22
glotblastn


WNU8_H1060
chickpea|13v2|GR917090_P1
1429
4847
208
83
globlastp


WNU8_H964
rye|12v1|DRR001012.144376
1430
4848
208
83
globlastp


WNU8_H965
rye|12v1|DRR001012.167511
1431
4849
208
83
globlastp


WNU8_H966
rye|12v1|DRR001012.727979
1432
4849
208
83
globlastp


WNU8_H967
eschscholzia|11v1|CD481374_P1
1433
4850
208
82.8
globlastp


WNU8_H968
primula|11v1|SRR098680X105746_P1
1434
4851
208
82.8
globlastp


WNU8_H969
ambrosia|11v1|SRR346935.110894_T1
1435
4852
208
82.77
glotblastn


WNU8_H970
cephalotaxus|11v1|SRR064395X10013_P1
1436
4853
208
82.6
globlastp


WNU8_H971
euonymus|11v1|SRR070038X103334_P1
1437
4854
208
82.6
globlastp


WNU8_H972
pineapple|10v1|DT335789_P1
1438
4855
208
82.6
globlastp


WNU8_H1061
switchgrass|12v1|PVJGIV8051000_T1
1439
4856
208
82.55
glotblastn


WNU8_H973
chelidonium|11v1|SRR084752X107771_T1
1440
4857
208
82.1
glotblastn


WNU8_H974
curcuma|10v1|DY388837_P1
1441
4858
208
82.1
globlastp


WNU8_H975
rye|12v1|BF146130
1442
4859
208
82.1
globlastp


WNU8_H976
vinca|11v1|SRR098690X100048
1443
4860
208
82.1
globlastp


WNU8_H1062
chickpea|13v2|SRR133517.728325_T1
1444
4861
208
82.03
glotblastn


WNU8_H1063
chickpea|13v2|SRR133517.1159_T1
1445
4862
208
81.97
glotblastn


WNU8_H977
eschscholzia|11v1|CD476820_P1
1446
4863
208
81.9
globlastp


WNU8_H978
utricularia|11v1|SRR094438.103690
1447
4864
208
81.9
globlastp


WNU8_H979
rye|12v1|DRR001012.558136
1448
4865
208
81.88
glotblastn


WNU8_H980
wheat|12v3|CA484380
1449
4866
208
81.88
glotblastn


WNU8_H981
canola|11v1|BNU21744XX1_P1
1450
4867
208
81.4
globlastp


WNU8_H982
poppy|11v1|SRR096789.100249_P1
1451
4868
208
81.4
globlastp


WNU8_H983
wheat|12v3|AL822116
1452
4869
208
81.29
glotblastn


WNU8_H984
cotton|11v1|ES822536_T1
1453
4870
208
81.25
glotblastn


WNU8_H985
lovegrass|gb167|EH185033_T1
1454
4871
208
81.21
glotblastn


WNU8_H986
b_juncea|12v1|E6ANDIZ01BSCGA_P1
1455
4872
208
81.2
globlastp


WNU8_H987
parthenium|10v1|GW779513_P1
1456
4873
208
81.2
globlastp


WNU8_H988
orobanche|10v1|SSRR023189S0001008_P1
1457
4874
208
81.1
globlastp


WNU8_H989
poppy|11v1|SRR030260.128199_T1
1458
4875
208
81.06
glotblastn


WNU8_H990
flaveria|11v1|SRR149239.161671_P1
1459
4876
208
81
globlastp


WNU8_H991
marchantia|gb166|BJ848715_P1
1460
4877
208
81
globlastp


WNU8_H992
podocarpus|10v1|SSRR065014S0001888_P1
1461
4878
208
81
globlastp


WNU8_H993
canola|11v1|EV196524XX2_T1
1462
4879
208
80.98
glotblastn


WNU8_H994
flaveria|11v1|SRR149241.119767_T1
1463
4880
208
80.76
glotblastn


WNU8_H995
beech|11v1|SRR006293.10304_P1
1464
4881
208
80.4
globlastp


WNU8_H996
canola|11v1|SRR019556.19904_P1
1465
4882
208
80.4
globlastp


WNU8_H997
chickpea|11v1|AY112726
1466
4883
208
80.4
globlastp


WNU8_H998
canola|11v1|EE405799XX2_T1
1467
4884
208
80.31
glotblastn


WNU8_H999
canola|11v1|SRR329661.125622_T1
1468
4885
208
80.31
glotblastn


WNU9_H1
leymus|gb166|EG398632_P1
1469
4886
209
95.5
globlastp


WNU9_H2
wheat|12v3|AL822016
1470
4887
209
95.5
globlastp


WNU9_H3
rye|12v1|DRR001012.199117
1471
4888
209
93.47
glotblastn


WNU9_H4
oat|11v1|GO598730_P1
1472
4889
209
86.1
globlastp


WNU9_H5
brachypodium|12v1|BRADI3G57060_P1
1473
4890
209
83.4
globlastp


WNU9_H12
switchgrass|12v1|FE624489_P1
1474
4891
209
82.5
globlastp


WNU9_H6
switchgrass|gb167|FE624489
1475
4892
209
82.5
globlastp


WNU9_H13
switchgrass|12v1|FE635297_P1
1476
4893
209
81.5
globlastp


WNU9_H7
maize|10v1|AI677093_P1
1477
4894
209
81.5
globlastp


WNU9_H8
switchgrass|gb167|FE607705
1478
4895
209
81.5
globlastp


WNU9_H9
sorghum|12v1|SB04G029010
1479
4896
209
81
globlastp


WNU9_H10
rice|11v1|AU065182
1480
4897
209
80.4
globlastp


WNU9_H11
foxtail_millet|11v3|PHY7SI018400M_P1
1481
4898
209
80
globlastp


WNU10_H2
brachypodium|12v1|BRADI3G58320_P1
1482
4899
210
88.4
globlastp


WNU10_H11
wheat|12v3|BQ237924
1483
4900
210
88.3
globlastp


WNU10_H3
brachypodium|12v1|BRADI3G58327_P1
1484
4901
210
86.4
globlastp


WNU10_H5
rice|11v1|AA750675
1485
4902
210
83.2
globlastp


WNU10_H6
foxtail_millet|11v3|PHY7SI016581M_P1
1486
4903
210
81.2
globlastp


WNU10_H8
switchgrass|gb167|DN141218
1487
4904
210
81.1
globlastp


WNU10_H14
switchgrass|12v1|DN141218_P1
1488
4905
210
80.9
globlastp


WNU10_H15
switchgrass|12v1|FE632994_P1
1489
4906
210
80.9
globlastp


WNU10_H7
sorghum|12v1|SB04G033850
1490
4907
210
80.8
globlastp


WNU11_H1
wheat|12v3|CA642552
1491
4908
211
92.7
globlastp


WNU11_H2
wheat|12v3|BQ245800
1492
4909
211
91.8
globlastp


WNU11_H3
wheat|12v3|BE419463
1493
4910
211
90.9
globlastp


WNU11_H4
rye|12v1|DRR001012.174712
1494
4911
211
90.1
globlastp


WNU11_H5
rye|12v1|DRR001012.157939
1495
4912
211
89.2
globlastp


WNU11_H6
lolium|10v1|AU247649_P1
1496
4913
211
86.5
globlastp


WNU11_H7
oat|11v1|CN817037_P1
1497
4914
211
85.6
globlastp


WNU11_H8
oat|11v1|GR333192_P1
1498
4914
211
85.6
globlastp


WNU13_H1
brachypodium|12v1|BRADI4G44997_T1
1499
4915
213
85.16
glotblastn


WNU13_H2
wheat|12v3|AL817063
1500
4916
213
82.5
globlastp


WNU13_H3
rye|12v1|DRR001012.156654
1501
4917
213
82.3
globlastp


WNU13_H4
switchgrass|12v1|DN145145_T1
1502
4918
213
80.09
glotblastn


WNU14_H1
wheat|12v3|BI479735
1503
4919
214
97.7
globlastp


WNU14_H2
rye|12v1|DRR001012.102019
1504
4920
214
97.1
globlastp


WNU14_H3
rye|12v1|DRR001012.115426
1505
4921
214
97.1
globlastp


WNU14_H4
rye|12v1|DRR001012.156071
1506
4922
214
90.08
glotblastn


WNU15_H1
rye|12v1|DRR001012.112543
1507
4923
215
93
globlastp


WNU15_H2
wheat|12v3|BE404360
1508
4924
215
92.99
glotblastn


WNU15_H3
wheat|12v3|BE422752
1509
4925
215
92.8
globlastp


WNU15_H4
wheat|12v3|BM134630
1510
4926
215
92.8
glotblastn


WNU15_H5
oat|11v1|CN820180_P1
1511
4927
215
85.4
globlastp


WNU15_H6
brachypodium|12v1|BRADI2G17000_P1
1512
4928
215
83.4
globlastp


WNU16_H1
wheat|12v3|CA501314
1513
4929
216
97.2
globlastp


WNU16_H2
leymus|gb166|EG390149_P1
1514
4930
216
92.3
globlastp


WNU16_H4
switchgrass|12v1|FE626303_P1
1515
4931
216
80.9
globlastp


WNU16_H5
switchgrass|12v1|FL841650_P1
1516
4932
216
80.3
globlastp


WNU16_H3
switchgrass|gb167|FL841650
1517
4933
216
80.3
globlastp


WNU17_H1
wheat|12v3|BE414307
1518
217
217
100
globlastp


WNU17_H2
wheat|12v3|BE427605
1519
217
217
100
globlastp


WNU17_H3
brachypodium|12v1|BRADI2G16770_P1
1520
4934
217
99.3
globlastp


WNU17_H4
fescue|gb161|DT688428_P1
1521
4935
217
99.3
globlastp


WNU17_H5
oat|11v1|GR340361_P1
1522
4935
217
99.3
globlastp


WNU17_H6
oat|11v1|GR349432_P1
1523
4935
217
99.3
globlastp


WNU17_H7
rye|12v1|DRR001012.157480
1524
4936
217
99.3
globlastp


WNU17_H8
canola|11v1|CN730363_T1
1525
4937
217
98.04
glotblastn


WNU17_H9
b_juncea|12v1|E6ANDIZ02FND41_P1
1526
4938
217
98
globlastp


WNU17_H10
b_rapa|11v1|CN730363_P1
1527
4938
217
98
globlastp


WNU17_H11
b_rapa|11v1|L47869_P1
1528
4939
217
98
globlastp


WNU17_H12
barley|12v1|BI946826_P1
1529
4940
217
98
globlastp


WNU17_H13
canola|11v1|CN730530_P1
1530
4939
217
98
globlastp


WNU17_H14
leymus|gb166|EG374708_P1
1531
4940
217
98
globlastp


WNU17_H15
millet|10v1|EVO454PM003141_P1
1532
4941
217
98
globlastp


WNU17_H16
millet|10v1|EVO454PM089657_P1
1533
4941
217
98
globlastp


WNU17_H17
oat|11v1|GR342863_P1
1534
4940
217
98
globlastp


WNU17_H18
pseudoroegneria|gb167|FF340632
1535
4940
217
98
globlastp


WNU17_H19
rye|12v1|BE705287
1536
4940
217
98
globlastp


WNU17_H20
rye|12v1|CD453254
1537
4940
217
98
globlastp


WNU17_H21
wheat|12v3|BE402224
1538
4940
217
98
globlastp


WNU17_H22
wheat|12v3|BE404292
1539
4940
217
98
globlastp


WNU17_H433
monkeyflower|12v1|DV210516_P1
1540
4942
217
97.4
globlastp


WNU17_H23
arabidopsis_lyrata|09v1|JGIAL001776_P1
1541
4942
217
97.4
globlastp


WNU17_H24
arabidopsis|10v1|AT1G16890_P1
1542
4942
217
97.4
globlastp


WNU17_H25
b_juncea|12v1|E6ANDIZ01A5B07_P1
1543
4942
111
97.4
globlastp


WNU17_H26
b_juncea|12v1|E6ANDIZ01BWYBD_P1
1544
4942
111
97.4
globlastp


WNU17_H27
b_juncea|12v1|E6ANDIZ01DEBC1_P1
1545
4942
111
97.4
globlastp


WNU17_H28
b_juncea|12v1|E6ANDIZ01EH3VM_P1
1546
4942
111
97.4
globlastp


WNU17_H29
b_oleracea|gb161|DY027215_P1
1547
4943
111
97.4
globlastp


WNU17_H30
b_oleracea|gb161|DY027796_P1
1548
4944
211
97.4
globlastp


WNU17_H31
b_rapa|11v1|BQ790813_P1
1549
4945
111
97.4
globlastp


WNU17_H32
b_rapa|11v1|BQ791570_P1
1550
4944
211
97.4
globlastp


WNU17_H33
b_rapa|11v1|CD817358_P1
1551
4942
217
97.4
globlastp


WNU17_H34
canola|11v1|CN730552_P1
1552
4944
217
97.4
globlastp


WNU17_H35
canola|11v1|CN731240_P1
1553
4945
217
97.4
globlastp


WNU17_H36
canola|11v1|DY024565_P1
1554
4943
217
97.4
globlastp


WNU17_H37
canola|11v1|EG020704_P1
1555
4942
217
97.4
globlastp


WNU17_H38
canola|11v1|EG021063_P1
1556
4945
217
97.4
globlastp


WNU17_H39
canola|11v1|EV012066_P1
1557
4945
217
97.4
globlastp


WNU17_H40
cenchrus|gb166|BM084863_P1
1558
4946
217
97.4
globlastp


WNU17_H41
eggplant|10v1|FS005444_P1
1559
4942
217
97.4
globlastp


WNU17_H42
euonymus|11v1|SRR070038X217657_P1
1560
4942
217
97.4
globlastp


WNU17_H43
fescue|gb161|DT685373_P1
1561
4946
217
97.4
globlastp


WNU17_H44
foxtail_millet|11v3|PHY7SI023172M_P1
1562
4946
217
97.4
globlastp


WNU17_H45
grape|11v1|GSVIVT01020701001_P1
1563
4942
217
97.4
globlastp


WNU17_H46
lettuce|12v1|DW069539_P1
1564
4947
217
97.4
globlastp


WNU17_H47
lotus|09v1|CB828211_P1
1565
4944
217
97.4
globlastp


WNU17_H48
monkeyflower|10v1|DV210516
1566
4942
217
97.4
globlastp


WNU17_H49
nasturtium|11v1|SRR032558.105835_P1
1567
4948
217
97.4
globlastp


WNU17_H50
pepper|12v1|BM066751_P1
1568
4942
217
97.4
globlastp


WNU17_H51
phyla|11v2|SRR099037X112851_P1
1569
4942
217
97.4
globlastp


WNU17_H52
pigeonpea|11v1|GR472520_P1
1570
4942
217
97.4
globlastp


WNU17_H53
radish|gb164|EV535692
1571
4942
217
97.4
globlastp


WNU17_H54
radish|gb164|EV539302
1572
4942
217
97.4
globlastp


WNU17_H55
radish|gb164|EV567217
1573
4942
217
97.4
globlastp


WNU17_H56
radish|gb164|EW714058
1574
4942
217
97.4
globlastp


WNU17_H57
radish|gb164|EW726281
1575
4942
217
97.4
globlastp


WNU17_H58
radish|gb164|EX755281
1576
4942
217
97.4
globlastp


WNU17_H59
radish|gb164|EX765304
1577
4942
217
97.4
globlastp


WNU17_H60
senecio|gb170|DY665106
1578
4949
217
97.4
globlastp


WNU17_H61
sugarcane|11v1|AA961288
1579
4946
217
97.4
globlastp


WNU17_H62
thellungiella_halophilum|11v1|DN774469
1580
4950
217
97.4
globlastp


WNU17_H63
thellungiella_parvulum|11v1|BY805345
1581
4942
217
97.4
globlastp


WNU17_H64
thellungiella_parvulum|11v1|DN774469
1582
4950
217
97.4
globlastp


WNU17_H65
tobacco|gb162|CV018033
1583
4942
217
97.4
globlastp


WNU17_H66
tobacco|gb162|EB428813
1584
4942
217
97.4
globlastp


WNU17_H67
tomato|11v1|BG126290
1585
4942
217
97.4
globlastp


WNU17_H68
triphysaria|10v1|EY130377
1586
4951
217
97.4
globlastp


WNU17_H69
brachypodium|12v1|BRADI2G46290T2_T1
1587
4952
217
96.73
glotblastn


WNU17_H70
centaurea|11v1|EH737366_T1
1588
4953
217
96.73
glotblastn


WNU17_H71
cirsium|11v1|SRR346952.1004074_T1
1589
4954
217
96.73
glotblastn


WNU17_H72
cotton|11v1|DW512153_T1
1590
4955
217
96.73
glotblastn


WNU17_H73
salvia|10v1|SRR014553S0029303
1591
4956
217
96.73
glotblastn


WNU17_H434
nicotiana_benthamiana|12v1|EB428813_P1
1592
4957
217
96.7
globlastp


WNU17_H435
nicotiana_benthamiana|12v1|EB448956_P1
1593
4958
217
96.7
globlastp


WNU17_H436
switchgrass|12v1|DN143106_P1
1594
4959
217
96.7
globlastp


WNU17_H437
switchgrass|12v1|FE603001_P1
1595
4959
217
96.7
globlastp


WNU17_H74
ambrosia|11v1|SRR346935.169112_P1
1596
4958
217
96.7
globlastp


WNU17_H75
ambrosia|11v1|SRR346943.103583_P1
1597
4958
217
96.7
globlastp


WNU17_H76
amorphophallus|11v2|SRR089351X103836_P1
1598
4960
217
96.7
globlastp


WNU17_H77
amsonia|11v1|SRR098688X10543_P1
1599
4958
217
96.7
globlastp


WNU17_H78
arabidopsis_lyrata|09v1|JGIAL008169_P1
1600
4958
217
96.7
globlastp


WNU17_H79
arnica|11v1|SRR099034X115110_P1
1601
4958
217
96.7
globlastp


WNU17_H80
avocado|10v1|FD503593_P1
1602
4961
217
96.7
globlastp


WNU17_H81
blueberry|12v1|SRR353282X26947D1_P1
1603
4962
217
96.7
globlastp


WNU17_H82
canola|11v1|DY005277_P1
1604
4963
217
96.7
globlastp


WNU17_H83
catharanthus|11v1|EG558230_P1
1605
4958
217
96.7
globlastp


WNU17_H84
centaurea|11v1|EH780394_P1
1606
4958
217
96.7
globlastp


WNU17_H85
chestnut|gb170|SRR006295S0003346_P1
1607
4964
217
96.7
globlastp


WNU17_H86
cichorium|gb171|EH684694_P1
1608
4958
217
96.7
globlastp


WNU17_H87
cichorium|gb171|EH695309_P1
1609
4965
217
96.7
globlastp


WNU17_H88
clover|gb162|BB935221_P1
1610
4958
217
96.7
globlastp


WNU17_H89
coffea|10v1|DV665508_P1
1611
4958
217
96.7
globlastp


WNU17_H90
cotton|11v1|CO495392XX1_P1
1612
4958
217
96.7
globlastp


WNU17_H91
cucurbita|11v1|SRR091276X100473_P1
1613
4958
217
96.7
globlastp


WNU17_H92
cyamopsis|10v1|EG979319_P1
1614
4958
217
96.7
globlastp


WNU17_H93
cynara|gb167|GE589151_P1
1615
4958
217
96.7
globlastp


WNU17_H94
dandelion|10v1|DR398709_P1
1616
4958
217
96.7
globlastp


WNU17_H95
eggplant|10v1|FS007798_P1
1617
4958
217
96.7
globlastp


WNU17_H96
euonymus|11v1|SRR070038X115123_P1
1618
4966
217
96.7
globlastp


WNU17_H97
euonymus|11v1|SRR070038X117366_P1
1619
4967
217
96.7
globlastp


WNU17_H98
euphorbia|11v1|DV122132_P1
1620
4958
217
96.7
globlastp


WNU17_H99
flaveria|11v1|SRR149229.134328_P1
1621
4958
217
96.7
globlastp


WNU17_H100
flaveria|11v1|SRR149229.14807_P1
1622
4958
217
96.7
globlastp


WNU17_H101
flaveria|11v1|SRR149229.23144_P1
1623
4958
217
96.7
globlastp


WNU17_H102
flaveria|11v1|SRR149232.113312_P1
1624
4958
217
96.7
globlastp


WNU17_H103
flax|11v1|JG022693_P1
1625
4968
217
96.7
globlastp


WNU17_H104
flax|11v1|JG035547_P1
1626
4968
217
96.7
globlastp


WNU17_H105
foxtail_millet|11v3|EC613913_P1
1627
4959
217
96.7
globlastp


WNU17_H106
gossypium_raimondii|12v1|AI726003_P1
1628
4958
217
96.7
globlastp


WNU17_H107
guizotia|10v1|GE552627_P1
1629
4965
217
96.7
globlastp


WNU17_H108
iceplant|gb164|AI943435_P1
1630
4969
217
96.7
globlastp


WNU17_H109
ipomoea_batatas|10v1|EE876680_P1
1631
4970
217
96.7
globlastp


WNU17_H110
lettuce|12v1|DW047293_P1
1632
4958
217
96.7
globlastp


WNU17_H111
lotus|09v1|AW719221_P1
1633
4971
217
96.7
globlastp


WNU17_H112
maize|10v1|AI621751_P1
1634
4972
217
96.7
globlastp


WNU17_H113
maize|10v1|T20360_P1
1635
4973
217
96.7
globlastp


WNU17_H114
medicago|12v1|AA660332_P1
1636
4958
217
96.7
globlastp


WNU17_H115
nasturtium|11v1|GH169196_P1
1637
4974
217
96.7
globlastp


WNU17_H116
oak|10v1|DN950778_P1
1638
4964
217
96.7
globlastp


WNU17_H117
peanut|10v1|CD038839_P1
1639
4958
217
96.7
globlastp


WNU17_H118
peanut|10v1|EE127715_P1
1640
4958
217
96.7
globlastp


WNU17_H119
periwinkle|gb164|EG558230_P1
1641
4958
217
96.7
globlastp


WNU17_H120
petunia|gb171|FN000074_P1
1642
4970
217
96.7
globlastp


WNU17_H121
potato|10v1|BE919486_P1
1643
4971
217
96.7
globlastp


WNU17_H122
potato|10v1|BG590551_P1
1644
4975
217
96.7
globlastp


WNU17_H123
radish|gb164|EW733273
1645
4976
217
96.7
globlastp


WNU17_H124
radish|gb164|EY949993
1646
4976
217
96.7
globlastp


WNU17_H125
rice|11v1|BE228269
1647
4959
217
96.7
globlastp


WNU17_H126
safflower|gb162|EL398795
1648
4958
217
96.7
globlastp


WNU17_H127
solanum_phureja|09v1|SPHBG126290
1649
4975
217
96.7
globlastp


WNU17_H128
solanum_phureja|09v1|SPHBG134126
1650
4971
217
96.7
globlastp


WNU17_H129
soybean|11v1|GLYMA06G33840
1651
4977
217
96.7
globlastp


WNU17_H129
soybean|12v1|GLYMA06G33840_P1
1652
4977
217
96.7
globlastp


WNU17_H130
soybean|11v1|GLYMA13G34600
1653
4958
217
96.7
globlastp


WNU17_H130
soybean|12v1|GLYMA13G34600T2_P1
1654
4958
217
96.7
globlastp


WNU17_H131
soybean|11v1|GLYMA20G10030
1655
4978
217
96.7
globlastp


WNU17_H131
soybean|12v1|GLYMA20G10030_P1
1656
4978
217
96.7
globlastp


WNU17_H132
spurge|gb161|DV122132
1657
4958
217
96.7
globlastp


WNU17_H133
sunflower|12v1|CD850417
1658
4958
217
96.7
globlastp


WNU17_H134
sunflower|12v1|DY925368
1659
4958
217
96.7
globlastp


WNU17_H135
switchgrass|gb167|DN143106
1660
4959
217
96.7
globlastp


WNU17_H136
switchgrass|gb167|FE603001
1661
4959
217
96.7
globlastp


WNU17_H137
tabernaemontana|11v1|SRR098689X110278
1662
4958
217
96.7
globlastp


WNU17_H138
tea|10v1|FE942783
1663
4965
217
96.7
globlastp


WNU17_H139
thellungiella_halophilum|11v1|BY805345
1664
4979
217
96.7
globlastp


WNU17_H140
tobacco|gb162|EB427071
1665
4958
217
96.7
globlastp


WNU17_H141
triphysaria|10v1|EX985155
1666
4980
217
96.7
globlastp


WNU17_H142
triphysaria|10v1|EY130295
1667
4981
217
96.7
globlastp


WNU17_H143
utricularia|11v1|SRR094438.102997
1668
4979
217
96.7
globlastp


WNU17_H144
valeriana|11v1|SRR099039X102133
1669
4965
217
96.7
globlastp


WNU17_H145
vinca|11v1|SRR098690X112996
1670
4965
217
96.7
globlastp


WNU17_H438
castorbean|12v1|EE255403_P1
1671
4982
217
96.1
globlastp


WNU17_H439
chickpea|13v2|FE668632_P1
1672
4983
217
96.1
globlastp


WNU17_H440
monkeyflower|12v1|CV521813_P1
1673
4984
217
96.1
globlastp


WNU17_H441
prunus_mume|13v1|BU042798_P1
1674
4985
217
96.1
globlastp


WNU17_H442
zostera|12v1|SRR057351X11589D1_P1
1675
4986
217
96.1
globlastp


WNU17_H146
antirrhinum|gb166|AJ788570_P1
1676
4987
217
96.1
globlastp


WNU17_H147
arabidopsis|10v1|AT1G78870_P1
1677
4988
217
96.1
globlastp


WNU17_H148
artemisia|10v1|EY049658_P1
1678
4989
217
96.1
globlastp


WNU17_H149
avocado|10v1|CK762705_P1
1679
4990
217
96.1
globlastp


WNU17_H150
banana|12v1|FF557470_P1
1680
4982
217
96.1
globlastp


WNU17_H151
beech|11v1|SRR006293.25722_P1
1681
4982
217
96.1
globlastp


WNU17_H152
blueberry|12v1|SRR353282X31338D1_P1
1682
4991
217
96.1
globlastp


WNU17_H153
bupleurum|11v1|SRR301254.137136_P1
1683
4992
217
96.1
globlastp


WNU17_H154
cacao|10v1|CU475181_P1
1684
4982
217
96.1
globlastp


WNU17_H155
cassava|09v1|DV452105_P1
1685
4982
217
96.1
globlastp


WNU17_H156
castorbean|11v1|EE255403
1686
4982
217
96.1
globlastp


WNU17_H157
cedrus|11v1|SRR065007X100480_P1
1687
4993
217
96.1
globlastp


WNU17_H158
centaurea|11v1|SRR346938.10212_P1
1688
4994
217
96.1
globlastp


WNU17_H159
chestnut|gb170|SRR006295S0005351_P1
1689
4982
217
96.1
globlastp


WNU17_H160
chickpea|11v1|FE668632
1690
4983
217
96.1
globlastp


WNU17_H161
clementine|11v1|CF417240_P1
1691
4982
217
96.1
globlastp


WNU17_H162
cleome_gynandra|10v1|SRR015532S0027837_P1
1692
4982
217
96.1
globlastp


WNU17_H163
cleome_spinosa|10v1|GR932301_P1
1693
4982
217
96.1
globlastp


WNU17_H164
cleome_spinosa|10v1|SRR015531S0013877_P1
1694
4982
217
96.1
globlastp


WNU17_H165
cotton|11v1|AI726003_P1
1695
4995
217
96.1
globlastp


WNU17_H166
cotton|11v1|AI729870_P1
1696
4982
217
96.1
globlastp


WNU17_H167
cotton|11v1|DT527415_P1
1697
4996
217
96.1
globlastp


WNU17_H168
cowpea|12v1|FC460687_P1
1698
4997
217
96.1
globlastp


WNU17_H169
cowpea|12v1|FF391401_P1
1699
4998
217
96.1
globlastp


WNU17_H170
cucumber|09v1|DV632828_P1
1700
4982
217
96.1
globlastp


WNU17_H171
dandelion|10v1|DR398472_P1
1701
4999
217
96.1
globlastp


WNU17_H172
eschscholzia|11v1|CD479283_P1
1702
5000
217
96.1
globlastp


WNU17_H173
euphorbia|11v1|BP961080_P1
1703
4982
217
96.1
globlastp


WNU17_H174
flaveria|11v1|SRR149229.121259_P1
1704
5001
217
96.1
globlastp


WNU17_H175
flaveria|11v1|SRR149244.109043_P1
1705
5002
217
96.1
globlastp


WNU17_H176
flax|11v1|GW864855_P1
1706
5003
217
96.1
globlastp


WNU17_H177
fraxinus|11v1|SRR058827.103663_P1
1707
4982
217
96.1
globlastp


WNU17_H178
fraxinus|11v1|SRR058827.107638_P1
1708
4990
217
96.1
globlastp


WNU17_H179
gossypium_raimondii|12v1|AI729870_P1
1709
4982
217
96.1
globlastp


WNU17_H180
grape|11v1|GSVIVT01014215001_P1
1710
4982
217
96.1
globlastp


WNU17_H181
guizotia|10v1|GE562307_P1
1711
5001
217
96.1
globlastp


WNU17_H182
humulus|11v1|EX518933_P1
1712
4983
217
96.1
globlastp


WNU17_H183
ipomoea_batatas|10v1|EE875329_P1
1713
5004
217
96.1
globlastp


WNU17_H184
ipomoea_nil|10v1|CJ747934_P1
1714
5005
217
96.1
globlastp


WNU17_H185
ipomoea_nil|10v1|CJ752578_P1
1715
4982
217
96.1
globlastp


WNU17_H186
jatropha|09v1|GT228569_P1
1716
4982
217
96.1
globlastp


WNU17_H187
kiwi|gb166|FG423895_P1
1717
5006
217
96.1
globlastp


WNU17_H188
liquorice|gb171|FS244937_P1
1718
4982
217
96.1
globlastp


WNU17_H189
maize|10v1|AA979832_P1
1719
5007
217
96.1
globlastp


WNU17_H190
maize|10v1|AW171809_P1
1720
5008
217
96.1
globlastp


WNU17_H191
melon|10v1|DV632828_P1
1721
4982
217
96.1
globlastp


WNU17_H192
momordica|10v1|SRR071315S0000326_P1
1722
4982
217
96.1
globlastp


WNU17_H193
oak|10v1|FP025798_P1
1723
4982
217
96.1
globlastp


WNU17_H194
olea|11v1|SRR014463.21469
1724
4990
217
96.1
globlastp


WNU17_H194
olea|13v1|SRR014463X21469D1_P1
1725
4990
217
96.1
globlastp


WNU17_H195
olea|11v1|SRR014463.22162
1726
4982
217
96.1
globlastp


WNU17_H195
olea|13v1|SRR014463X22162D1_P1
1727
4982
217
96.1
globlastp


WNU17_H196
orange|11v1|CF417240_P1
1728
4982
217
96.1
globlastp


WNU17_H197
orobanche|10v1|SRR023189S0012723_P1
1729
5009
217
96.1
globlastp


WNU17_H198
papaya|gb165|EX231148_P1
1730
4982
217
96.1
globlastp


WNU17_H199
parthenium|10v1|GW778911_P1
1731
5010
217
96.1
globlastp


WNU17_H200
pepper|12v1|BM066122_P1
1732
5011
217
96.1
globlastp


WNU17_H201
phyla|11v2|SRR099035X100283_P1
1733
4987
217
96.1
globlastp


WNU17_H202
phyla|11v2|SRR099035X100758_P1
1734
4983
217
96.1
globlastp


WNU17_H203
pigeonpea|11v1|GR470024_P1
1735
4998
217
96.1
globlastp


WNU17_H204
plantago|11v2|SRR066373X103675_P1
1736
4982
217
96.1
globlastp


WNU17_H205
poppy|11v1|FG599569_P1
1737
5012
217
96.1
globlastp


WNU17_H206
poppy|11v1|SRR096789.122196_P1
1738
5011
217
96.1
globlastp


WNU17_H207
prunus|10v1|CB822666
1739
5013
217
96.1
globlastp


WNU17_H208
rose|12v1|BQ103975
1740
5013
217
96.1
globlastp


WNU17_H209
silene|11v1|GH292005
1741
5014
217
96.1
globlastp


WNU17_H210
silene|11v1|GH294038
1742
5015
217
96.1
globlastp


WNU17_H211
sorghum|12v1|SB03G030840
1743
5007
217
96.1
globlastp


WNU17_H212
soybean|11v1|GLYMA12G35790
1744
5016
217
96.1
globlastp


WNU17_H212
soybean|12v1|GLYMA12G35790_P1
1745
5016
217
96.1
globlastp


WNU17_H213
strawberry|11v1|CO817378
1746
5013
217
96.1
globlastp


WNU17_H214
sugarcane|10v1|BQ533055
1747
5007
217
96.1
globlastp


WNU17_H215
sunflower|12v1|CD850786
1748
5001
217
96.1
globlastp


WNU17_H216
switchgrass|gb167|DN145151
1749
5017
217
96.1
globlastp


WNU17_H217
thalictrum|11v1|SRR096787X117438
1750
5018
217
96.1
globlastp


WNU17_H218
tomato|11v1|BG134126
1751
4983
217
96.1
globlastp


WNU17_H219
tragopogon|10v1|SRR020205S0000057
1752
5019
217
96.1
globlastp


WNU17_H220
trigonella|11v1|SRR066194X104236
1753
5020
217
96.1
globlastp


WNU17_H221
tripterygium|11v1|SRR098677X10016
1754
5021
217
96.1
globlastp


WNU17_H222
walnuts|gb166|CB303910
1755
4982
217
96.1
globlastp


WNU17_H223
walnuts|gb166|CV198359
1756
4982
217
96.1
globlastp


WNU17_H224
watermelon|11v1|DV632828
1757
4982
217
96.1
globlastp


WNU17_H225
zostera|10v1|SRR057351S0000733
1758
4986
217
96.1
globlastp


WNU17_H226
artemisia|10v1|EY098112_T1
1759
5022
217
96.08
glotblastn


WNU17_H227
b_rapa|11v1|BQ704394_T1
1760
5023
217
96.08
glotblastn


WNU17_H228
sarracenia|11v1|SRR192669.10343
1761
5024
217
96.08
glotblastn


WNU17_H229
sarracenia|11v1|SRR192669.105437
1762
5025
217
96.08
glotblastn


WNU17_H230
senecio|gb170|DY663326
1763
5026
217
96.08
glotblastn


WNU17_H231
wheat|12v3|CA486470
1764
5027
217
96.08
glotblastn


WNU17_H232
ambrosia|11v1|SRR346935.112046_T1
1765
5024
217
95.42
glotblastn


WNU17_H233
flaveria|11v1|SRR149232.212348_T1
1766
5028
217
95.42
glotblastn


WNU17_H234
poppy|11v1|SRR030259.119059 _T1
1767
5029
217
95.42
glotblastn


WNU17_H443
bean|12v2|CA906757_P1
1768
5030
217
95.4
globlastp


WNU17_H235
acacia|10v1|FS588158_P1
1769
5031
217
95.4
globlastp


WNU17_H236
amorphophallus|11v2|SRR089351X103308_P1
1770
5032
217
95.4
globlastp


WNU17_H237
antirrhinum|gb166|AJ558475_P1
1771
5033
217
95.4
globlastp


WNU17_H238
aristolochia|10v1|FD752041_P1
1772
5034
217
95.4
globlastp


WNU17_H239
banana|12v1|FF559774_P1
1773
5035
217
95.4
globlastp


WNU17_H240
basilicum|10v1|DY340408_P1
1774
5036
217
95.4
globlastp


WNU17_H241
bean|12v1|CA906757
1775
5030
217
95.4
globlastp


WNU17_H242
beet|12v1|EG549424_P1
1776
5037
217
95.4
globlastp


WNU17_H243
beet|12v1|EG550821_P1
1777
5038
217
95.4
globlastp


WNU17_H244
blueberry|12v1|SRR353282X43109D1_P1
1778
5039
217
95.4
globlastp


WNU17_H245
blueberry|12v1|SRR353282X90355D1_P1
1779
5039
217
95.4
globlastp


WNU17_H246
catharanthus|11v1|AF091621_P1
1780
5040
217
95.4
globlastp


WNU17_H247
centaurea|11v1|EH723118_P1
1781
5041
217
95.4
globlastp


WNU17_H248
centaurea|11v1|EH737491_P1
1782
5041
217
95.4
globlastp


WNU17_H249
centaurea|11v1|EH760412_P1
1783
5041
217
95.4
globlastp


WNU17_H250
chelidonium|11v1|SRR084752X105322_P1
1784
5042
217
95.4
globlastp


WNU17_H251
cirsium|11v1|SRR346952.1008801_P1
1785
5041
217
95.4
globlastp


WNU17_H252
cirsium|11v1|SRR346952.102609_P1
1786
5043
217
95.4
globlastp


WNU17_H253
cucurbita|11v1|FG227319_P1
1787
5044
217
95.4
globlastp


WNU17_H254
cynara|gb167|GE588125_P1
1788
5043
217
95.4
globlastp


WNU17_H255
eucalyptus|11v2|CD669014_P1
1789
5045
217
95.4
globlastp


WNU17_H256
euonymus|11v1|SRR070038X136525_P1
1790
5046
217
95.4
globlastp


WNU17_H257
fagopyrum|11v1|SRR063689X102569_P1
1791
5047
217
95.4
globlastp


WNU17_H258
fagopyrum|11v1|SRR063689X17391_P1
1792
5048
217
95.4
globlastp


WNU17_H259
flax|11v1|JG133969_P1
1793
5049
217
95.4
globlastp


WNU17_H260
fraxinus|11v1|SRR058827.169109_P1
1794
5050
217
95.4
globlastp


WNU17_H261
ginseng|10v1|DV555857_P1
1795
5051
217
95.4
globlastp


WNU17_H262
guizotia|10v1|GE555906_P1
1796
5052
217
95.4
globlastp


WNU17_H263
heritiera|10v1|SRR005794S0001119_P1
1797
5045
217
95.4
globlastp


WNU17_H264
iceplant|gb164|BE034207_P1
1798
5053
217
95.4
globlastp


WNU17_H265
ipomoea_batatas|10v1|DV035340_P1
1799
5054
217
95.4
globlastp


WNU17_H266
ipomoea_nil|10v1|CJ747207_P1
1800
5055
217
95.4
globlastp


WNU17_H267
kiwi|gb166|FG409170_P1
1801
5056
217
95.4
globlastp


WNU17_H268
liriodendron|gb166|FD488994_P1
1802
5057
217
95.4
globlastp


WNU17_H269
oil_palm|11v1|EL688490_P1
1803
5034
217
95.4
globlastp


WNU17_H270
orobanche|10v1|SRR023189S0006106_P1
1804
5058
217
95.4
globlastp


WNU17_H271
pine|10v2|AA739766_P1
1805
5059
217
95.4
globlastp


WNU17_H272
plantago|11v2|SRR066373X164128_P1
1806
5060
217
95.4
globlastp


WNU17_H273
poplar|10v1|AI161701
1807
5045
217
95.4
globlastp


WNU17_H273
poplar|13v1|AI161701_P1
1808
5045
217
95.4
globlastp


WNU17_H274
poplar|10v1|AI162761
1809
5054
217
95.4
globlastp


WNU17_H274
poplar|13v1|AI162761_P1
1810
5054
217
95.4
globlastp


WNU17_H275
poppy|11v1|SRR030259.105591_P1
1811
5061
217
95.4
globlastp


WNU17_H276
prunus|10v1|BU042798
1812
5062
217
95.4
globlastp


WNU17_H277
pseudotsuga|10v1|SRR065119S0012686
1813
5063
217
95.4
globlastp


WNU17_H278
radish|gb164|EY919768
1814
5064
217
95.4
globlastp


WNU17_H279
safflower|gb162|EL386327
1815
5041
217
95.4
globlastp


WNU17_H280
salvia|10v1|SRR014553S0000609
1816
5065
217
95.4
globlastp


WNU17_H281
sarracenia|11v1|SRR192669.117327
1817
5066
217
95.4
globlastp


WNU17_H282
scabiosal|11v1|SRR063723X10994
1818
5067
217
95.4
globlastp


WNU17_H283
silene|11v1|GH291836
1819
5068
217
95.4
globlastp


WNU17_H284
sorghum|12v1|SB02G021080
1820
5069
217
95.4
globlastp


WNU17_H285
spruce|11v1|ES250195
1821
5070
217
95.4
globlastp


WNU17_H286
strawberry|11v1|DY667301
1822
5071
217
95.4
globlastp


WNU17_H287
sugarcane|10v1|CA066851
1823
5069
217
95.4
globlastp


WNU17_H288
sunflower|12v1|CF077956
1824
5072
217
95.4
globlastp


WNU17_H289
taxus|10v1|SRR032523S0000732XX1
1825
5073
217
95.4
globlastp


WNU17_H290
tragopogon|10v1|SRR020205S0002138
1826
5074
217
95.4
globlastp


WNU17_H291
utricularia|11v1|SRR094438.10007
1827
5075
217
95.4
globlastp


WNU17_H292
utricularia|11v1|SRR094438.109222
1828
5076
217
95.4
globlastp


WNU17_H293
valeriana|11v1|SRR099039X114224
1829
5067
217
95.4
globlastp


WNU17_H294
valeriana|11v1|SRR099039X80681
1830
5077
217
95.4
globlastp


WNU17_H444
bean|12v2|CA898393_P1
1831
5078
217
94.8
globlastp


WNU17_H445
olea|13v1|SRR014463X11653D1_P1
1832
5079
217
94.8
globlastp


WNU17_H446
switchgrass|12v1|DN152618_P1
1833
5080
217
94.8
globlastp


WNU17_H295
abies|11v2|SRR098676X114290_P1
1834
5081
217
94.8
globlastp


WNU17_H296
ambrosia|11v1|SRR346943.118378_P1
1835
5082
217
94.8
globlastp


WNU17_H297
amorphophallus|11v2|SRR089351X101818_P1
1836
5083
217
94.8
globlastp


WNU17_H298
arnica|11v1|SRR099034X136000_P1
1837
5082
217
94.8
globlastp


WNU17_H299
artemisia|10v1|GW331403_P1
1838
5084
217
94.8
globlastp


WNU17_H300
banana|12v1|FF560038_P1
1839
5085
217
94.8
globlastp


WNU17_H302
cannabis|12v1|SOLX00033268_P1
1840
5086
217
94.8
globlastp


WNU17_H303
cannabis|12v1|SOLX00040838_P1
1841
5086
217
94.8
globlastp


WNU17_H304
canola|11v1|ES899299_P1
1842
5087
217
94.8
globlastp


WNU17_H305
cephalotaxus|11v1|SRR064395X106265_P1
1843
5088
217
94.8
globlastp


WNU17_H306
cirsium|11v1|SRR346952.11489_P1
1844
5089
217
94.8
globlastp


WNU17_H307
cleome_gynandra|10v1|SRR015532S0000743_P1
1845
5090
217
94.8
globlastp


WNU17_H308
cotton|11v1|AY560546_P1
1846
5091
217
94.8
globlastp


WNU17_H309
cotton|11v1|BF272909_P1
1847
5092
217
94.8
globlastp


WNU17_H310
cotton|11v1|CO092732_P1
1848
5093
217
94.8
globlastp


WNU17_H311
cotton|11v1|DV850261_P1
1849
5094
217
94.8
globlastp


WNU17_H312
cotton|11v1|SRR032367.852137_P1
1850
5091
217
94.8
globlastp


WNU17_H313
cycas|gb166|CB090914_P1
1851
5095
217
94.8
globlastp


WNU17_H314
dandelion|10v1|GO663352_P1
1852
5096
217
94.8
globlastp


WNU17_H315
eschscholzia|11v1|CK744884_P1
1853
5097
217
94.8
globlastp


WNU17_H316
fagopyrum|11v1|SRR063689X121403XX1_P1
1854
5098
217
94.8
globlastp


WNU17_H317
ginger|gb164|DY369735_P1
1855
5099
217
94.8
globlastp


WNU17_H318
gnetum|10v1|DN954342_P1
1856
5100
217
94.8
globlastp


WNU17_H319
gossypium_raimondii|12v1|AY560546_P1
1857
5091
217
94.8
globlastp


WNU17_H320
gossypium_raimondii|12v1|BF272909_P1
1858
5093
217
94.8
globlastp


WNU17_H321
gossypium_raimondii|12v1|DT527415_P1
1859
5094
217
94.8
globlastp


WNU17_H322
humulus|11v1|FG345870_P1
1860
5101
217
94.8
globlastp


WNU17_H323
humulus|11v1|GD244056_P1
1861
5101
217
94.8
globlastp


WNU17_H324
humulus|11v1|SRR098683X102824_P1
1862
5101
217
94.8
globlastp


WNU17_H325
kiwi|gb166|FG426345_P1
1863
5102
217
94.8
globlastp


WNU17_H326
liriodendron|gb166|CK745391_P1
1864
5103
217
94.8
globlastp


WNU17_H327
maritime_pine|10v1|AL749594_P1
1865
5104
217
94.8
globlastp


WNU17_H328
millet|10v1|EVO454PM030933_P1
1866
5105
217
94.8
globlastp


WNU17_H329
olea|11v1|SRR014463.11653
1867
5079
217
94.8
globlastp


WNU17_H330
onion|12v1|SRR073446X118270D1_P1
1868
5106
217
94.8
globlastp


WNU17_H331
periwinkle|gb164|AF091621_P1
1869
5107
217
94.8
globlastp


WNU17_H332
phalaenopsis|11v1|SRR125771.1002079_P1
1870
5108
217
94.8
globlastp


WNU17_H333
phalaenopsis|11v1|SRR125771.1026536_P1
1871
5109
217
94.8
globlastp


WNU17_H334
primula|11v1|SRR098679X107296_P1
1872
5110
217
94.8
globlastp


WNU17_H335
radish|gb164|EV535483
1873
5111
217
94.8
globlastp


WNU17_H336
rose|12v1|SRR397984.120485
1874
5112
217
94.8
globlastp


WNU17_H337
sciadopitys|10v1|SRR065035S0012583
1875
5113
217
94.8
globlastp


WNU17_H338
sciadopitys|10v1|SRR065035S0075123
1876
5114
217
94.8
globlastp


WNU17_H339
switchgrass|gb167|DN152618
1877
5080
217
94.8
globlastp


WNU17_H349
olea|13v1|SRR014463X30186D1_P1
1878
5115
217
94.8
globlastp


WNU17_H340
onion|12v1|FS210737_T1
1879
5116
217
94.77
glotblastn


WNU17_H341
sarracenia|11v1|SRR192669.100640
1880
5117
217
94.77
glotblastn


WNU17_H342
sarracenia|11v1|SRR192669.16863
1881
5118
217
94.77
glotblastn


WNU17_H343
tragopogon|10v1|SRR020205S0024946
1882
5119
217
94.77
glotblastn


WNU17_H344
tripterygium|11v1|SRR098677X104747
1883
5120
217
94.77
glotblastn


WNU17_H345
aquilegia|10v2|JGIAC026301_P1
1884
5121
217
94.2
globlastp


WNU17_H346
amborella|12v3|CV012534_T1
1885
5122
217
94.12
glotblastn


WNU17_H347
flaveria|11v1|SRR149229.290471XX1_T1
1886
5024
217
94.12
glotblastn


WNU17_H348
fraxinus|11v1|SRR058827.135458_T1
1887
5123
217
94.12
glotblastn


WNU17_H349
olea|11v1|SRR014463.30186
1888
5124
217
94.12
glotblastn


WNU17_H447
switchgrass|12v1|FE600938_P1
1889
5125
217
94.1
globlastp


WNU17_H350
amsonia|11v1|SRR098688X100872_P1
1890
5126
217
94.1
globlastp


WNU17_H351
banana|12v1|ES431646_P1
1891
5127
217
94.1
globlastp


WNU17_H352
cichorium|gb171|EH709360_P1
1892
5128
217
94.1
globlastp


WNU17_H353
eschscholzia|11v1|SRR014116.107763_P1
1893
5129
217
94.1
globlastp


WNU17_H354
pineapple|10v1|DT337097_P1
1894
5130
217
94.1
globlastp


WNU17_H355
platanus|11v1|SRR096786X104389_P1
1895
5131
217
94.1
globlastp


WNU17_H356
podocarpus|10v1|SRR065014S0008331_P1
1896
5132
217
94.1
globlastp


WNU17_H357
spruce|11v1|ES249358
1897
5133
217
94.1
globlastp


WNU17_H358
spruce|11v1|EX353857
1898
5133
217
94.1
globlastp


WNU17_H359
switchgrass|gb167|FE600938
1899
5125
217
94.1
globlastp


WNU17_H360
tabernaemontana|11v1|SRR098689X120633
1900
5134
217
94.1
globlastp


WNU17_H361
zinnia|gb171|AU305997
1901
5135
217
94.1
globlastp


WNU17_H362
abies|11v2|SRR098676X111177_P1
1902
5136
217
93.5
globlastp


WNU17_H363
amborella|12v3|CK755984_P1
1903
5137
217
93.5
globlastp


WNU17_H364
barley|12v1|BE413397_P1
1904
5138
217
93.5
globlastp


WNU17_H365
distylium|11v1|SRR065077X112289_P1
1905
5139
217
93.5
globlastp


WNU17_H366
fagopyrum|11v1|SRR063703X105646_P1
1906
5140
217
93.5
globlastp


WNU17_H367
foxtail_millet|11v3|PHY7SI031377M_P1
1907
5141
217
93.5
globlastp


WNU17_H368
maritime_pine|10v1|BX000624_P1
1908
5142
217
93.5
globlastp


WNU17_H369
pine|10v2|AW010211_P1
1909
5142
217
93.5
globlastp


WNU17_H370
pseudoroegneria|gb167|FF362940
1910
5138
217
93.5
globlastp


WNU17_H371
rye|12v1|DRR001012.127556
1911
5143
217
93.5
globlastp


WNU17_H372
sequoia|10v1|SRR065044S0003204
1912
5144
217
93.5
globlastp


WNU17_H373
vinca|11v1|SRR098690X184197
1913
5145
217
93.5
globlastp


WNU17_H374
wheat|12v3|BM134951
1914
5138
217
93.5
globlastp


WNU17_H375
wheat|12v3|BM138072
1915
5138
217
93.5
globlastp


WNU17_H376
cedrus|11v1|SRR065007X109223_T1
1916
5146
217
93.46
glotblastn


WNU17_H377
gossypium_raimondii|12v1|SRR032881.293179_T1
1917
5147
217
92.81
glotblastn


WNU17_H378
podocarpus|10v1|SRR065014S0040197_T1
1918
5148
217
92.81
glotblastn


WNU17_H379
oat|11v1|GO589794_P1
1919
5149
217
92.8
globlastp


WNU17_H380
platanus|11v1|SRR096786X128074_P1
1920
5150
217
92.8
globlastp


WNU17_H381
rhizophora|10v1|SRR005792S0000964
1921
5151
217
92.8
globlastp


WNU17_H382
ceratodon|10v1|SRR074890S0015879_P1
1922
5152
217
92.3
globlastp


WNU17_H383
cephalotaxus|11v1|SRR064395X305668_P1
1923
5153
217
92.2
globlastp


WNU17_H384
sequoia|10v1|SRR065044S0044135
1924
5154
217
92.2
globlastp


WNU17_H385
distylium|11v1|SRR065077X110866_T1
1925
5155
217
92.16
glotblastn


WNU17_H386
pteridium|11v1|SRR043594X100139
1926
5156
217
92.16
glotblastn


WNU17_H387
cryptomeria|gb166|BY887735_P1
1927
5157
217
91.5
globlastp


WNU17_H388
spruce|11v1|CO207826
1928
5158
217
91.5
glotblastn


WNU17_H389
hornbeam|12v1|SRR364455.106790_T1
1929
—
217
91.5
glotblastn


WNU17_H390
b_juncea|12v1|E6ANDIZ01A0KI8_P1
1930
5159
217
90.8
globlastp


WNU17_H391
epimedium|11v1|SRR013505.12485_P1
1931
5160
217
90.8
globlastp


WNU17_H392
fagopyrum|11v1|SRR063689X102345_P1
1932
5161
217
90.8
globlastp


WNU17_H393
rhizophora|10v1|SRR005792S0000918
1933
5162
217
90.8
globlastp


WNU17_H394
physcomitrella|10v1|AW599579_P1
1934
5163
217
90.4
globlastp


WNU17_H395
physcomitrella|10v1|BJ941521_P1
1935
5164
217
90.4
globlastp


WNU17_H396
ceratodon|10v1|SRR074890S0028051_P1
1936
5165
217
89.9
globlastp


WNU17_H397
fern|gb171|DK943806_P1
1937
5166
217
89.8
globlastp


WNU17_H398
fraxinus|11v1|SRR058827.161949_T1
1938
5167
217
89.54
glotblastn


WNU17_H399
apple|11v1|CN491361_P1
1939
5168
217
89.5
globlastp


WNU17_H400
eschscholzia|11v1|SRR014116.76220_P1
1940
5169
217
89.5
globlastp


WNU17_H401
vinca|11v1|SRR098690X151645
1941
5170
217
89.5
globlastp


WNU17_H402
marchantia|gb166|C96568_P1
1942
5171
217
89.2
globlastp


WNU17_H403
pteridium|11v1|SRR043594X104315
1943
5172
217
89.2
globlastp


WNU17_H404
arnica|11v1|SRR099034X105698_P1
1944
5173
217
88.9
globlastp


WNU17_H405
clementine|11v1|BQ624371_P1
1945
5174
217
88.9
globlastp


WNU17_H406
orange|11v1|BQ624371_P1
1946
5174
217
88.9
globlastp


WNU17_H407
banana|12v1|MAGEN2012013021_P1
1947
5175
217
88.2
globlastp


WNU17_H408
radish|gb164|EV540304
1948
5176
217
88.2
globlastp


WNU17_H409
cirsium|11v1|SRR346952.1008500_P1
1949
5177
217
87.6
globlastp


WNU17_H410
phyla|11v2|SRR099035X34188_T1
1950
5178
217
87.58
glotblastn


WNU17_H411
ceratodon|10v1|AW086960_P1
1951
5179
217
87.3
globlastp


WNU17_H412
leymus|gb166|CN466070_P1
1952
5180
217
86.5
globlastp


WNU18_H2
rye|12v1|BE586989
1976
218
218
100
globlastp


WNU18_H3
rye|12v1|BE705680
1977
218
218
100
globlastp


WNU18_H4
rye|12v1|DRR001012.106515
1978
218
218
100
globlastp


WNU18_H5
wheat|12v3|BE404152
1979
218
218
100
globlastp


WNU18_H6
brachypodium|12v1|BRADI4G26140_P1
1980
5202
218
96.6
globlastp


WNU18_H7
fescue|gb161|DT686090_P1
1981
5203
218
96
globlastp


WNU18_H8
lolium|10v1|AU246279_P1
1982
5203
218
96
globlastp


WNU18_H9
oat|11v1|GO583146_P1
1983
5204
218
96
globlastp


WNU18_H10
oat|11v1|GO587032_P1
1984
5204
218
96
globlastp


WNU18_H11
rye|12v1|DRR001012.124006
1985
5205
218
96
globlastp


WNU18_H12
barley|12v1|BI959091_P1
1986
5206
218
95.3
globlastp


WNU18_H13
foxtail_millet|11v3|PHY7SI026958M_P1
1987
5207
218
95.3
globlastp


WNU18_H14
wheat|12v3|BE405456
1988
5206
218
95.3
globlastp


WNU18_H15
foxtail_millet|11v3|PHY7SI011704M_P1
1989
5208
218
94.6
globlastp


WNU18_H16
millet|10v1|PMSLX0000156D2_P1
1990
5209
218
94.6
globlastp


WNU18_H17
millet|10v1|PMSLX0033210_P1
1991
5208
218
94.6
globlastp


WNU18_H18
rice|11v1|BE039864
1992
5210
218
94
globlastp


WNU18_H19
rice|11v1|RICRPSAAA
1993
5210
218
94
globlastp


WNU18_H20
rice|11v1|BI808225
1994
5211
218
93.96
glotblastn


WNU18_H21
brachypodium|12v1|BRADI4G43980_P1
1995
5212
218
93.3
globlastp


WNU18_H22
maize|10v1|AI920628_P1
1996
5213
218
93.3
globlastp


WNU18_H23
oat|11v1|GO587074_P1
1997
5214
218
93.3
globlastp


WNU18_H24
sorghum|12v1|SB08G001870
1998
5215
218
93.3
globlastp


WNU18_H40
switchgrass|12v1|FE642069_P1
1999
5216
218
92.6
globlastp


WNU18_H41
switchgrass|12v1|FL740608_P1
2000
5216
218
92.6
globlastp


WNU18_H25
sorghum|12v1|SB05G001680
2001
5217
218
92.6
globlastp


WNU18_H26
sugarcane|10v1|BQ536327
2002
5218
218
92.6
globlastp


WNU18_H27
sugarcane|10v1|CA066765
2003
5219
218
92.6
globlastp


WNU18_H28
switchgrass|gb167|DN140806
2004
5216
218
92.6
globlastp


WNU18_H29
switchgrass|gb167|FE642069
2005
5216
218
92.6
globlastp


WNU18_H30
millet|10v1|EVO454PM242725_P1
2006
5220
218
91.9
globlastp


WNU18_H42
switchgrass|12v1|DN147240_P1
2007
5221
218
91.3
globlastp


WNU18_H31
cenchrus|gb166|EB657189_P1
2008
5222
218
91.3
globlastp


WNU18_H32
maize|10v1|AI395919_P1
2009
5223
218
91.3
globlastp


WNU18_H33
switchgrass|gb167|DN147240
2010
5221
218
91.3
globlastp


WNU18_H34
switchgrass|gb167|FL824347
2011
5221
218
91.3
globlastp


WNU18_H35
maize|10v1|AW126613_T1
2012
5224
218
89.26
glotblastn


WNU18_H36
maize|10v1|AW146945_P1
2013
5225
218
86.9
globlastp


WNU18_H37
wheat|12v3|CA617476
2014
5226
218
85.91
glotblastn


WNU18_H38
cynodon|10v1|ES301273_P1
2015
5227
218
81.9
globlastp


WNU18_H39
fescue|gb161|CK801591_P1
2016
5228
218
80
globlastp


WNU19_H1
wheat|12v3|BE403638
2017
5229
219
99.9
globlastp


WNU19_H2
wheat|12v3|BE399910
2018
5230
219
99.8
globlastp


WNU19_H3
rye|12v1|DRR001012.138836
2019
5231
219
99.64
glotblastn


WNU19_H4
rye|12v1|DRR001012.148210
2020
5232
219
99.5
globlastp


WNU19_H5
wheat|12v3|BE400773
2021
5233
219
99.5
globlastp


WNU19_H6
wheat|12v3|BE400818
2022
5234
219
99.4
globlastp


WNU19_H7
wheat|12v3|BQ236190
2023
5235
219
99.4
globlastp


WNU19_H8
wheat|12v3|BF428831
2024
5236
219
99.3
globlastp


WNU19_H9
wheat|12v3|BE400787
2025
5237
219
99.2
globlastp


WNU19_H10
wheat|12v3|BE412230
2026
5238
219
98.8
globlastp


WNU19_H11
wheat|12v3|BE637890
2027
5239
219
98.7
glotblastn


WNU19_H12
rye|12v1|BE495456
2028
5240
219
98.6
globlastp


WNU19_H13
rye|12v1|DRR001012.102874
2029
5240
219
98.6
globlastp


WNU19_H14
wheat|12v3|BE402187
2030
5240
219
98.6
globlastp


WNU19_H15
wheat|12v3|BE591621
2031
5240
219
98.6
globlastp


WNU19_H16
wheat|12v3|BE400982
2032
5241
219
98.5
globlastp


WNU19_H17
rye|12v1|DRR001012.102774
2033
5242
219
98.46
glotblastn


WNU19_H18
rye|12v1|DRR001012.106463
2034
5243
219
98.46
glotblastn


WNU19_H19
barley|12v1|BE412416_P1
2035
5244
219
96.8
globlastp


WNU19_H20
brachypodium|12v1|BRADI3G44480_P1
2036
5245
219
96.8
globlastp


WNU19_H21
brachypodium|12v1|BRADI3G44160_P1
2037
5246
219
96.7
globlastp


WNU19_H22
wheat|12v3|BE400209
2038
5247
219
95.4
globlastp


WNU19_H23
brachypodium|12v1|BRADI2G45070_P1
2039
5248
219
94.9
globlastp


WNU19_H24
oat|11v1|GO583982_P1
2040
5249
219
94.9
globlastp


WNU19_H25
oat|11v1|GO586975_P1
2041
5249
219
94.9
globlastp


WNU19_H26
rice|11v1|AA749896
2042
5250
219
94.5
globlastp


WNU19_H27
rye|12v1|DRR001012.103583
2043
5251
219
94.42
glotblastn


WNU19_H267
switchgrass|12v1|FE604024_P1
2044
5252
219
94.4
globlastp


WNU19_H28
foxtail_millet|11v3|EC612202_P1
2045
5253
219
94.4
globlastp


WNU19_H29
foxtail_millet|11v3|PHY7SI020903M_P1
2046
5253
219
94.4
globlastp


WNU19_H268
switchgrass|12v1|DN151890_P1
2047
5254
219
94.3
globlastp


WNU19_H30
switchgrass|gb167|DN151890
2048
5254
219
94.3
globlastp


WNU19_H31
rice|11v1|AA753882
2049
5255
219
94.2
globlastp


WNU19_H32
cenchrus|gb166|BM084104_P1
2050
5256
219
94.1
globlastp


WNU19_H33
millet|10v1|EVO454PM000899_T1
2051
5257
219
94.07
glotblastn


WNU19_H34
sorghum|12v1|SB03G034200
2052
5258
219
94
globlastp


WNU19_H35
sorghum|12v1|SB01G002040
2053
5259
219
93.95
glotblastn


WNU19_H36
rice|11v1|CK032966
2054
5260
219
93.85
glotblastn


WNU19_H37
maize|10v1|AI615128_P1
2055
5261
219
93.7
globlastp


WNU19_H38
maize|10v1|AI438426_P1
2056
5262
219
93.6
globlastp


WNU19_H39
maize|10v1|BE511139_P1
2057
5262
219
93.6
globlastp


WNU19_H40
maize|10v1|AI881430_P1
2058
5263
219
93.5
globlastp


WNU19_H41
wheat|12v3|BJ244184
2059
5264
219
93.2
globlastp


WNU19_H269
zostera|12v1|AM766155_P1
2060
5265
219
93.1
globlastp


WNU19_H42
zostera|10v1|AM766155
2061
5265
219
93.1
globlastp


WNU19_H43
oak|10v1|CU640356_P1
2062
5266
219
92.9
globlastp


WNU19_H44
apple|11v1|CN544862_T1
2063
5267
219
92.88
glotblastn


WNU19_H270
nicotiana_benthamiana|12v1|BP748244_P1
2064
5268
219
92.8
globlastp


WNU19_H45
clementine|11v1|BE208967_P1
2065
5269
219
92.8
globlastp


WNU19_H46
orange|11v1|BE208967_P1
2065
5269
219
92.8
globlastp


WNU19_H47
gossypium_raimondii|12v1|BF268145_P1
2066
5270
219
92.8
globlastp


WNU19_H48
sugarcane|10v1|BQ535682
2067
5271
219
92.8
globlastp


WNU19_H271
castorbean|12v1|T15194_P1
2068
5272
219
92.6
globlastp


WNU19_H49
aquilegia|10v2|DT751509_P1
2069
5273
219
92.6
globlastp


WNU19_H51
cotton|11v1|BF268145_P1
2070
5274
219
92.6
globlastp


WNU19_H52
kiwi|gb166|FG397283_P1
2071
5275
219
92.6
globlastp


WNU19_H53
kiwi|gb166|FG404148_P1
2072
5276
219
92.6
globlastp


WNU19_H54
sequoia|10v1|SRR065044S0011432XX1
2073
5277
219
92.53
glotblastn


WNU19_H55
blueberry|12v1|SRR353282X12615D1_P1
2074
5278
219
92.5
globlastp


WNU19_H56
cacao|10v1|CA795785_P1
2075
5279
219
92.5
globlastp


WNU19_H57
tripterygium|11v1|SRR098677X100553
2076
5280
219
92.5
globlastp


WNU19_H272
castorbean|12v1|EE255306_T1
2077
5281
219
92.41
glotblastn


WNU19_H273
prunus_mume|13v1|BU040103_P1
2078
5282
219
92.4
globlastp


WNU19_H58
blueberry|12v1|SRR353282X101483D1_P1
2079
5283
219
92.4
globlastp


WNU19_H59
castorbean|11v1|EE255306
2080
5284
219
92.4
globlastp


WNU19_H60
cotton|11v1|AI726506_P1
2081
5285
219
92.4
globlastp


WNU19_H61
cotton|11v1|CO080174_P1
2082
5286
219
92.4
globlastp


WNU19_H62
gossypium_raimondii|12v1|AI054588_P1
2083
5285
219
92.4
globlastp


WNU19_H63
tripterygium|11v1|SRR098677X100942
2084
5287
219
92.4
globlastp


WNU19_H64
chelidonium|11v1|SRR084752X101391_P1
2085
5288
219
92.3
globlastp


WNU19_H65
chestnut|gb170|SRR006295S0000411_P1
2086
5289
219
92.3
globlastp


WNU19_H66
cotton|11v1|BG442749_P1
2087
5290
219
92.3
globlastp


WNU19_H67
cucumber|09v1|DN910064_P1
2088
5291
219
92.3
globlastp


WNU19_H68
eucalyptus|11v2|CD668782_P1
2089
5292
219
92.3
globlastp


WNU19_H69
maritime_pine|10v1|BX250736_P1
2090
5293
219
92.3
globlastp


WNU19_H70
beech|11v1|SRR006293.21436_T1
2091
5294
219
92.29
glotblastn


WNU19_H71
banana|12v1|MAGEN2012002315_P1
2092
5295
219
92.2
globlastp


WNU19_H72
cotton|11v1|AI054588_P1
2093
5296
219
92.2
globlastp


WNU19_H73
medicago|12v1|AW256374_P1
2094
5297
219
92.2
globlastp


WNU19_H74
melon|10v1|DV631712_P1
2095
5298
219
92.2
globlastp


WNU19_H75
oil_palm|11v1|SRR190698.127955_P1
2096
5299
219
92.2
globlastp


WNU19_H76
watermelon|11v1|VMEL00557738492956
2097
5300
219
92.2
globlastp


WNU19_H77
sequoia|10v1|SRR065044S0006876
2098
5301
219
92.17
glotblastn


WNU19_H78
coffea|10v1|DV665586_P1
2099
5302
219
92.1
globlastp


WNU19_H79
gossypium_raimondii|12v1|AI728565_P1
2100
5303
219
92.1
globlastp


WNU19_H80
pepper|12v1|BM063010_P1
2101
5304
219
92.1
globlastp


WNU19_H81
phyla|11v2|SRR099035X100521XX1_P1
2102
5305
219
92.1
globlastp


WNU19_H82
plantago|11v2|SRR066373X1002_P1
2103
5306
219
92.1
globlastp


WNU19_H83
poplar|10v1|AI165397
2104
5307
219
92.1
globlastp


WNU19_H83
poplar|13v1|AI165397_P1
2105
5308
219
92.1
globlastp


WNU19_H84
prunus|10v1|BU040103
2106
5309
219
92.1
globlastp


WNU19_H85
soybean|11v1|GLYMA08G18110
2107
5310
219
92.1
globlastp


WNU19_H85
soybean|12v1|GLYMA08G18110_P1
2108
5310
219
92.1
globlastp


WNU19_H86
spruce|11v1|ES227777
2109
5311
219
92.1
globlastp


WNU19_H87
watermelon|11v1|CK755729
2110
5312
219
92.1
globlastp


WNU19_H88
castorbean|11v1|RCPRD038497
2111
5313
219
92.05
glotblastn


WNU19_H89
euonymus|11v1|SRR070038X103715_T1
2112
5314
219
91.93
glotblastn


WNU19_H274
bean|12v2|CA898094_P1
2113
5315
219
91.9
globlastp


WNU19_H90
banana|12v1|ES433164_P1
2114
5316
219
91.9
globlastp


WNU19_H92
cassava|09v1|CK643184_P1
2115
5317
219
91.9
globlastp


WNU19_H93
maritime_pine|10v1|AL751264_P1
2116
5318
219
91.9
globlastp


WNU19_H94
poplar|10v1|BU822969
2117
5319
219
91.9
globlastp


WNU19_H94
poplar|13v1|BU822969_P1
2118
5319
219
91.9
globlastp


WNU19_H95
potato|10v1|AJ235757_P1
2119
5320
219
91.9
globlastp


WNU19_H96
solanum_phureja|09v1|SPHAJ235757
2120
5321
219
91.9
globlastp


WNU19_H97
soybean|11v1|GLYMA15G40860
2121
5322
219
91.9
globlastp


WNU19_H97
soybean|12v1|GLYMA15G40860_P1
2122
5322
219
91.9
globlastp


WNU19_H98
switchgrass|gb167|DN142408
2123
5323
219
91.9
globlastp


WNU19_H105
poplar|13v1|BI120895_P1
2124
5324
219
91.9
globlastp


WNU19_H99
pine|10v2|BE123819_T1
2125
5325
219
91.83
glotblastn


WNU19_H100
cotton|11v1|EX170767_T1
2126
5326
219
91.81
glotblastn


WNU19_H101
cassava|09v1|CK644865_P1
2127
5327
219
91.8
globlastp


WNU19_H102
cowpea|12v1|FC459752_P1
2128
5328
219
91.8
globlastp


WNU19_H103
oil_palm|11v1|EL682836_P1
2129
5329
219
91.8
globlastp


WNU19_H104
peanut|10v1|ES709584_P1
2130
5330
219
91.8
globlastp


WNU19_H105
poplar|10v1|BI120895
2131
5331
219
91.8
globlastp


WNU19_H106
prunus|10v1|BU040347
2132
5332
219
91.8
globlastp


WNU19_H107
strawberry|11v1|AF041392
2133
5333
219
91.8
globlastp


WNU19_H108
tabernaemontana|11v1|SRR098689X100806
2134
5334
219
91.8
globlastp


WNU19_H109
taxus|10v1|SRR032523S0000905
2135
5335
219
91.8
globlastp


WNU19_H275
olea|13v1|SRR014463X19360D1_P1
2136
5336
219
91.7
globlastp


WNU19_H110
arnica|11v1|SRR099034X100223_P1
2137
5337
219
91.7
globlastp


WNU19_H111
cycas|gb166|CB093374_P1
2138
5338
219
91.7
globlastp


WNU19_H112
eschscholzia|11v1|CD481525_T1
2139
5339
219
91.7
glotblastn


WNU19_H113
lettuce|12v1|DW044734_P1
2140
5340
219
91.7
globlastp


WNU19_H114
medicago|12v1|AW698719_P1
2141
5341
219
91.7
globlastp


WNU19_H115
sciadopitys|10v1|SRR065035S0002676
2142
5342
219
91.7
globlastp


WNU19_H116
tomato|11v1|AJ235757
2143
5343
219
91.7
globlastp


WNU19_H276
chickpea|13v2|FL512382_P1
2144
5344
219
91.6
globlastp


WNU19_H277
zostera|12v1|SRR057351X110689D1_P1
2145
5345
219
91.6
globlastp


WNU19_H117
ambrosia|11v1|SRR346935.101423_P1
2146
5346
219
91.6
globlastp


WNU19_H118
amorphophallus|11v2|SRR089351X109177_P1
2147
5347
219
91.6
globlastp


WNU19_H119
cannabis|12v1|GR220889_P1
2148
5348
219
91.6
globlastp


WNU19_H120
podocarpus|10v1|SRR065014S0000383_P1
2149
5349
219
91.6
globlastp


WNU19_H121
poppy|11v1|SRR030259.101698 _P1
2150
5350
219
91.6
globlastp


WNU19_H122
rose|12v1|BQ105854
2151
5351
219
91.6
globlastp


WNU19_H123
sunflower|12v1|DY921242
2152
5352
219
91.6
globlastp


WNU19_H124
vinca|11v1|SRR098690X104327
2153
5353
219
91.6
globlastp


WNU19_H125
zostera|10v1|SRR057351S0005594
2154
5345
219
91.6
globlastp


WNU19_H278
chickpea|13v2|FL512400_P1
2155
5354
219
91.5
globlastp


WNU19_H279
chickpea|13v2|GR913128_P1
2156
5354
219
91.5
globlastp


WNU19_H280
chickpea|13v2|GR915293_P1
2157
5354
219
91.5
globlastp


WNU19_H281
olea|13v1|SRR014463X10479D1_P1
2158
5355
219
91.5
globlastp


WNU19_H282
olea|13v1|SRR014463X11586D1_P1
2159
5355
219
91.5
globlastp


WNU19_H126
amsonia|11v1|SRR098688X106109_P1
2160
5356
219
91.5
globlastp


WNU19_H127
catharanthus|11v1|EG555169_P1
2161
5357
219
91.5
globlastp


WNU19_H128
chickpea|11v1|GR407290XX1
2162
5354
219
91.5
globlastp


WNU19_H128
chickpea|13v2|GR407290_P1
2163
5354
219
91.5
globlastp


WNU19_H129
clementine|11v1|CB250306_P1
2164
5358
219
91.5
globlastp


WNU19_H130
distylium|11v1|SRR065077X10471_P1
2165
5359
219
91.5
globlastp


WNU19_H131
euphorbia|11v1|SRR098678X100925_P1
2166
5360
219
91.5
globlastp


WNU19_H132
orange|11v1|CB250306_P1
2167
5361
219
91.5
globlastp


WNU19_H133
poppy|11v1|SRR030259.104984XX2_P1
2168
5362
219
91.5
globlastp


WNU19_H134
pseudotsuga|10v1|SRR065119S0000457
2169
5363
219
91.5
globlastp


WNU19_H135
sunflower|12v1|BU671851
2170
5364
219
91.5
globlastp


WNU19_H136
trigonella|11v1|SRR066194X180483
2171
5365
219
91.5
globlastp


WNU19_H137
vinca|11v1|SRR098690X101897
2172
5366
219
91.5
globlastp


WNU19_H138
watermelon|11v1|CK765820
2173
5367
219
91.5
globlastp


WNU19_H139
artemisia|10v1|EY033582_T1
2174
5368
219
91.46
glotblastn


WNU19_H140
cephalotaxus|11v1|SRR064395X100945_T1
2175
5369
219
91.46
glotblastn


WNU19_H141
trigonella|11v1|SRR066194X100299
2176
5370
219
91.46
glotblastn


WNU19_H142
pigeonpea|11v1|GR467899_P1
2177
5371
219
91.4
globlastp


WNU19_H283
chickpea|13v2|GR916248_T1
2178
5372
219
91.34
glotblastn


WNU19_H284
chickpea|13v2|GR401562_P1
2179
5373
219
91.3
globlastp


WNU19_H285
monkeyflower|12v1|DV205820_P1
2180
5374
219
91.3
globlastp


WNU19_H143
euonymus|11v1|SRR070038X10546_P1
2181
5375
219
91.3
globlastp


WNU19_H144
grape|11v1|GSVIVT01020404001_P1
2182
5376
219
91.3
globlastp


WNU19_H145
monkeyflower|10v1|DV205820
2183
5374
219
91.3
globlastp


WNU19_H146
poppy|11v1|FE967696_P1
2184
5377
219
91.3
globlastp


WNU19_H147
amorphophallus|11v2|SRR089351X105225_T1
2185
5378
219
91.22
glotblastn


WNU19_H148
centaurea|11v1|EH762970_T1
2186
5379
219
91.22
glotblastn


WNU19_H149
poppy|11v1|SRR030259.104501_T1
2187
5380
219
91.22
glotblastn


WNU19_H150
sunflower|12v1|DY907212
2188
5381
219
91.22
glotblastn


WNU19_H151
aquilegia|10v2|DR917334_P1
2189
5382
219
91.2
globlastp


WNU19_H152
arabidopsis_lyrata|09v1|JGIAL005090_P1
2190
5383
219
91.2
globlastp


WNU19_H153
b_rapa|11v1|BG544120_P1
2191
5384
219
91.2
globlastp


WNU19_H154
poppy|11v1|FE967193_P1
2192
5385
219
91.2
globlastp


WNU19_H155
poppy|11v1|SRR030264.247963_P1
2193
5386
219
91.2
globlastp


WNU19_H156
poppy|11v1|SRR030266.52245_P1
2194
5387
219
91.2
globlastp


WNU19_H157
rye|12v1|DRR001012.110872
2195
5388
219
91.2
globlastp


WNU19_H158
valeriana|11v1|SRR099039X100187
2196
5389
219
91.2
globlastp


WNU19_H159
abies|11v2|SRR098676X100456_P1
2197
5390
219
91.1
globlastp


WNU19_H160
canola|11v1|EV010917_P1
2198
5391
219
91.1
globlastp


WNU19_H161
cedrus|11v1|SRR065007X100657_P1
2199
5392
219
91.1
globlastp


WNU19_H162
oil_palm|11v1|SRR190698.167621XX1_P1
2200
5393
219
91.1
globlastp


WNU19_H163
poppy|11v1|SRR030259.122349_T1
2201
5394
219
91.1
glotblastn


WNU19_H164
sunflower|12v1|DY906203
2202
5395
219
91.1
globlastp


WNU19_H165
canola|11v1|CN734558_P1
2203
5396
219
91
globlastp


WNU19_H166
canola|11v1|DY010660_P1
2204
5397
219
91
globlastp


WNU19_H167
grape|11v1|GSVIVT01020405001_T1
2205
5398
219
91
glotblastn


WNU19_H168
thellungiella_halophilum|11v1|DN774158
2206
5399
219
91
globlastp


WNU19_H169
dandelion|10v1|DY819449_T1
2207
5400
219
90.98
glotblastn


WNU19_H170
poppy|11v1|SRR030259.293113_T1
2208
5401
219
90.98
glotblastn


WNU19_H171
amorphophallus|11v2|SRR089351X101426_P1
2209
5402
219
90.9
globlastp


WNU19_H172
canola|11v1|DY003089_P1
2210
5403
219
90.9
globlastp


WNU19_H173
gossypium_raimondii|12v1|SRR032367.160520_P1
2211
5404
219
90.9
globlastp


WNU19_H174
silene|11v1|GH294619
2212
5405
219
90.9
globlastp


WNU19_H175
phalaenopsis|11v1|CB033076XX1_T1
2213
5406
219
90.87
glotblastn


WNU19_H176
aquilegia|10v2|DR944068_P1
2214
5407
219
90.8
globlastp


WNU19_H177
b_rapa|11v1|BG544324_T1
2215
5408
219
90.77
glotblastn


WNU19_H178
b_rapa|11v1|CA992361_T1
2216
5409
219
90.75
glotblastn


WNU19_H179
canola|11v1|EE451187_T1
2217
5410
219
90.75
glotblastn


WNU19_H180
canola|11v1|SRR019559.14594_T1
2218
5411
219
90.75
glotblastn


WNU19_H181
pine|10v2|SRR036960S0020056_T1
2219
5412
219
90.75
glotblastn


WNU19_H182
amborella|12v3|CK743454_P1
2220
5413
219
90.7
globlastp


WNU19_H183
arabidopsis|10v1|AT1G56070_P1
2221
5414
219
90.7
globlastp


WNU19_H184
arnica|11v1|SRR099034X10148_P1
2222
5415
219
90.7
globlastp


WNU19_H185
b_rapa|11v1|CD816353_P1
2223
5416
219
90.7
globlastp


WNU19_H186
flaveria|11v1|SRR149229.209223_P1
2224
5417
219
90.7
globlastp


WNU19_H187
podocarpus|10v1|SRR065014S0003736_P1
2225
5418
219
90.7
globlastp


WNU19_H188
ambrosia|11v1|SRR346935.102533_T1
2226
5419
219
90.63
glotblastn


WNU19_H189
flaveria|11v1|SRR149229.19714_T1
2227
5420
219
90.63
glotblastn


WNU19_H190
beet|12v1|AW777202_P1
2228
5421
219
90.6
globlastp


WNU19_H191
pigeonpea|11v1|SRR054580X127546_P1
2229
5422
219
90.6
globlastp


WNU19_H192
thellungiella_halophilum|11v1|EHPRD038761
2230
5423
219
90.53
glotblastn


WNU19_H193
gnetum|10v1|SRR064399S0000663_T1
2231
5424
219
90.51
glotblastn


WNU19_H194
barley|12v1|HV12v1PRD005943_P1
2232
5425
219
90.5
globlastp


WNU19_H195
silene|11v1|SRR096785X102916
2233
5426
219
90.5
globlastp


WNU19_H286
monkeyflower|12v1|GR149027_P1
2234
5427
219
90.4
globlastp


WNU19_H196
amsonia|11v1|SRR098688X10119_P1
2235
5428
219
90.4
globlastp


WNU19_H197
eschscholzia|11v1|CD478945_P1
2236
5429
219
90.4
globlastp


WNU19_H199
sunflower|12v1|DY932904
2237
5430
219
90.15
glotblastn


WNU19_H200
eschscholzia|11v1|CD480167_T1
2238
5431
219
90.04
glotblastn


WNU19_H201
lettuce|12v1|DW121631_P1
2239
5432
219
90
globlastp


WNU19_H202
thellungiella_parvulum|11v1|DN774158
2240
5433
219
90
globlastp


WNU19_H203
rye|12v1|DRR001012.232598
2241
5434
219
89.9
globlastp


WNU19_H204
fern|gb171|BP911956_P1
2242
5435
219
89.8
globlastp


WNU19_H205
pteridium|11v1|SRR043594X100314
2243
5436
219
89.68
glotblastn


WNU19_H206
ceratodon|10v1|SRR074890S0032700_P1
2244
5437
219
89.4
globlastp


WNU19_H207
ceratodon|10v1|SRR074890S0044795_P1
2245
5437
219
89.4
globlastp


WNU19_H208
ceratodon|10v1|SRR074890S0340761_P1
2246
5437
219
89.4
globlastp


WNU19_H209
ceratodon|10v1|SRR074890S0581270_P1
2247
5437
219
89.4
globlastp


WNU19_H210
ceratodon|10v1|SRR074891S0000040_P1
2248
5437
219
89.4
globlastp


WNU19_H211
phalaenopsis|11v1|CB032840_T1
2249
5438
219
89.32
glotblastn


WNU19_H212
apple|11v1|MDP0000362791_P1
2250
5439
219
89.3
globlastp


WNU19_H213
rye|12v1|DRR001012.192575
2251
5440
219
89.3
globlastp


WNU19_H214
foxtail_millet|11v3|EC612436_T1
2252
5441
219
89.24
glotblastn


WNU19_H287
nicotiana_benthamiana|12v1|BP747399_P1
2253
5442
219
89.2
globlastp


WNU19_H215
iceplant|gb164|BE033655_P1
2254
5443
219
89.2
globlastp


WNU19_H216
physcomitrella|10v1|BJ160823_P1
2255
5444
219
89.2
globlastp


WNU19_H217
physcomitrella|10v1|BJ170123_P1
2256
5444
219
89.2
globlastp


WNU19_H218
cirsium|11v1|SRR346952.108438_P1
2257
5445
219
89.1
globlastp


WNU19_H219
euonymus|11v1|SRR070038X105533_P1
2258
5446
219
89
globlastp


WNU19_H220
poppy|11v1|SRR030263.471933_T1
2259
5447
219
88.61
glotblastn


WNU19_H221
physcomitrella|10v1|AJ225456_P1
2260
5448
219
88.6
globlastp


WNU19_H222
physcomitrella|10v1|AW699268_P1
2261
5448
219
88.6
globlastp


WNU19_H223
marchantia|gb166|AU081662_P1
2262
5449
219
88.5
globlastp


WNU19_H224
triphysaria|10v1|BE574729
2263
5450
219
88.5
globlastp


WNU19_H225
aristolochia|10v1|SRR039082S0012185_P1
2264
5451
219
88.3
globlastp


WNU19_H226
thellungiella_parvulum|11v1|EPPRD007851
2265
5452
219
88.2
globlastp


WNU19_H227
rye|12v1|BE494935
2266
5453
219
88.02
glotblastn


WNU19_H228
rice|11v1|CA758982
2267
5454
219
87.9
globlastp


WNU19_H229
b_rapa|11v1|DN960595_T1
2268
5455
219
87.78
glotblastn


WNU19_H230
poppy|11v1|SRR030259.100177_T1
2269
5456
219
87.78
glotblastn


WNU19_H231
arabidopsis|10v1|AT3G12915_T1
2270
5457
219
87.54
glotblastn


WNU19_H232
canola|11v1|EE482007_T1
2271
5458
219
87.29
glotblastn


WNU19_H233
arabidopsis_lyrata|09v1|JGIAL009721_P1
2272
5459
219
87.1
globlastp


WNU19_H234
flaveria|11v1|SRR149229.311595_P1
2273
5460
219
87
globlastp


WNU19_H235
rye|12v1|DRR001012.112903
2274
5461
219
86.95
glotblastn


WNU19_H236
millet|10v1|CD726649_P1
2275
5462
219
86.1
globlastp


WNU19_H237
rye|12v1|DRR001012.106277
2276
5463
219
86.1
globlastp


WNU19_H238
poppy|11v1|SRR030259.124447_T1
2277
5464
219
85.88
glotblastn


WNU19_H239
rye|12v1|DRR001012.190424
2278
5465
219
85.53
glotblastn


WNU19_H240
pine|10v2|AL751264_P1
2279
5466
219
85.3
globlastp


WNU19_H241
millet|10v1|CD726405_T1
2280
5467
219
85.29
glotblastn


WNU19_H242
poppy|11v1|SRR030259.104877_P1
2281
5468
219
85.2
globlastp


WNU19_H243
canola|11v1|DY030623_P1
2282
5469
219
84.8
globlastp


WNU19_H244
cirsium|11v1|SRR346952.122084_T1
2283
5470
219
84.7
glotblastn


WNU19_H245
platanus|11v1|SRR096786X102681_P1
2284
5471
219
84.7
globlastp


WNU19_H246
rye|12v1|BE495426
2285
5472
219
84.7
glotblastn


WNU19_H247
thellungiella_parvulum|11v1|EPCRP021744
2286
5473
219
84.7
globlastp


WNU19_H248
sugarcane|10v1|BQ534204
2287
5474
219
84.6
globlastp


WNU19_H249
medicago|12v1|AL385115_P1
2288
5475
219
84.5
globlastp


WNU19_H250
rye|12v1|DRR001012.119895
2289
5476
219
84.4
globlastp


WNU19_H251
aristolochia|10v1|FD748819_P1
2290
5477
219
84.3
globlastp


WNU19_H252
pine|10v2|AW290225_T1
2291
5478
219
83.87
glotblastn


WNU19_H253
wheat|12v3|CA499280
2292
5479
219
83.87
glotblastn


WNU19_H254
cotton|11v1|AI728565_P1
2293
5480
219
83.3
globlastp


WNU19_H255
trigonella|11v1|SRR066194X118373
2294
5481
219
83.3
globlastp


WNU19_H256
rye|12v1|DRR001012.198013
2295
5482
219
83.06
glotblastn


WNU19_H257
cucumber|09v1|CV003974_P1
2296
5483
219
82.8
globlastp


WNU19_H258
rye|12v1|BF145953
2297
5484
219
82.21
glotblastn


WNU19_H259
canola|11v1|CN731489_T1
2298
5485
219
81.97
glotblastn


WNU19_H260
poppy|11v1|SRR030259.106828_P1
2299
5486
219
81.7
globlastp


WNU19_H261
poppy|11v1|SRR030259.151268_T1
2300
5487
219
81.61
glotblastn


WNU19_H262
pigeonpea|11v1|SRR054580X132043_P1
2301
5488
219
81.5
globlastp


WNU19_H263
rye|12v1|BE705036
2302
5489
219
80.8
globlastp


WNU19_H288
bean|12v2|SRR090491.1128737_P1
2303
5490
219
80.7
globlastp


WNU19_H264
poppy|11v1|SRR030259.110118_T1
2304
5491
219
80.43
glotblastn


WNU19_H265
bean|12v1|SRR001335.271437
2305
5492
219
80.2
globlastp


WNU19_H266
pteridium|11v1|SRR043594X10372
2306
5493
219
80.07
glotblastn


WNU20_H1
wheat|12v3|BE500467
2307
5494
220
99.4
globlastp


WNU20_H2
rye|12v1|DRR001012.111146
2308
5495
220
98.9
globlastp


WNU20_H3
wheat|12v3|CD902583
2309
5496
220
98.9
globlastp


WNU20_H4
wheat|12v3|BE405418
2310
5497
220
98.7
globlastp


WNU20_H5
wheat|12v3|CD936120
2311
5498
220
98.7
globlastp


WNU20_H6
brachypodium|12v1|BRADI3G42010_P1
2312
5499
220
95.5
globlastp


WNU20_H7
oat|11v1|GO590260_P1
2313
5500
220
94.5
globlastp


WNU20_H8
rice|11v1|AA749701
2314
5501
220
90.9
globlastp


WNU20_H9
sorghum|12v1|SB07G025240
2315
5502
220
89.2
globlastp


WNU20_H10
sorghum|12v1|SB02G030270
2316
5503
220
88.9
globlastp


WNU20_H11
sugarcane|10v1|BQ533680
2317
5504
220
88.9
globlastp


WNU20_H12
foxtail_millet|11v3|PHY7SI029736M_P1
2318
5505
220
88.7
globlastp


WNU20_H26
switchgrass|12v1|DN146648_P1
2319
5506
220
88.5
globlastp


WNU20_H13
maize|10v1|AI491230_P1
2320
5507
220
88.3
globlastp


WNU20_H14
sugarcane|10v1|CA131260
2321
5508
220
88.3
globlastp


WNU20_H15
switchgrass|gb167|FL694429
2322
5509
220
88.3
globlastp


LYD75_H35
switchgrass|12v1|FE638577_P1
2323
5510
220
87.9
globlastp


WNU20_H16
millet|10v1|EVO454PM001616_P1
2324
5511
220
87.9
globlastp


WNU20_H17
cenchrus|gb166|EB656001_T1
2325
5512
220
87.23
glotblastn


WNU20_H18
rice|11v1|AU082931
2326
5513
220
87
globlastp


WNU20_H19
switchgrass|gb167|FE610787
2327
5514
220
80.7
globlastp


WNU20_H27
switchgrass|12v1|FE610787_P1
2328
5515
220
80.5
globlastp


WNU20_H20
brachypodium|12v1|BRADI1G77290_P1
2329
5516
220
80.5
globlastp


WNU20_H21
foxtail_millet|11v3|PHY7SI035565M_P1
2330
5517
220
80.5
globlastp


WNU20_H22
rice|11v1|BI796408
2331
5518
220
80.3
globlastp


WNU20_H23
sorghum|12v1|SB01G049310
2332
5519
220
80.3
globlastp


WNU20_H24
oil_palm|11v1|EL691753_P1
2333
5520
220
80.2
globlastp


WNU20_H25
maize|10v1|AW052854_P1
2334
5521
220
80
globlastp


WNU22_H2
rye|12v1|DRR001012.160458
2335
5522
222
90.8
globlastp


WNU22_H3
oat|11v1|GR353093_P1
2336
5523
222
81.5
globlastp


WNU23_H1
barley|12v1|AK367025_P1
2337
5524
223
99.8
globlastp


WNU23_H2
rye|12v1|BE586979
2338
5525
223
97.8
globlastp


WNU23_H3
wheat|12v3|BE401772
2339
5526
223
97.51
glotblastn


WNU23_H4
pseudoroegneria|gb167|FF350262
2340
5527
223
97.5
globlastp


WNU23_H5
brachypodium|12v1|BRADI4G27550_P1
2341
5528
223
93.3
globlastp


WNU23_H6
oat|11v1|CN814765_P1
2342
5529
223
92.8
globlastp


WNU23_H7
sorghum|12v1|SB02G020360
2343
5530
223
82.8
globlastp


WNU23_H8
sugarcane|10v1|CA067379
2344
5531
223
81.3
globlastp


WNU23_H9
rice|11v1|AA231803
2345
5532
223
81.2
globlastp


WNU23_H15
switchgrass|12v1|FE603748_P1
2346
5533
223
80.9
globlastp


WNU23_H10
maize|10v1|ZMU66403_P1
2347
5534
223
80.9
globlastp


WNU23_H11
switchgrass|gb167|FE603748
2348
5535
223
80.4
globlastp


WNU23_H12
maize|10v1|ZMU66404_P1
2349
5536
223
80.2
globlastp


WNU23_H13
millet|10v1|EVO454PM003523_P1
2350
5537
223
80.2
globlastp


WNU23_H14
foxtail_millet|11v3|EC613874_P1
2351
5538
223
80.1
globlastp


WNU25_H1
wheat|12v3|BE399516
2352
224
224
100
globlastp


WNU25_H2
rye|12v1|DRR001012.10261
2353
5539
224
99.1
globlastp


WNU25_H3
oat|11v1|GO582349_P1
2354
5540
224
97.3
globlastp


WNU25_H4
oat|11v1|GO586833_P1
2355
5541
224
97.3
globlastp


WNU25_H5
lolium|10v1|AU250680_P1
2356
5542
224
96.4
globlastp


WNU25_H6
oat|11v1|GR318164_P1
2357
5543
224
96.4
globlastp


WNU25_H7
brachypodium|12v1|BRADI3G60180_P1
2358
5544
224
94.6
globlastp


WNU25_H8
cynodon|10v1|ES293470_P1
2359
5545
224
91.1
globlastp


WNU25_H9
cenchrus|gb166|EB654878_P1
2360
5546
224
90.2
globlastp


WNU25_H10
foxtail_millet|11v3|PHY7SI019343M_P1
2361
5546
224
90.2
globlastp


WNU25_H11
millet|10v1|CD726269_P1
2362
5546
224
90.2
globlastp


WNU25_H12
millet|10v1|EVO454PM078222_P1
2363
5546
224
90.2
globlastp


WNU25_H243
switchgrass|12v1|DN144110_P1
2364
5547
224
89.3
globlastp


WNU25_H13
lovegrass|gb167|EH184754_P1
2365
5548
224
89.3
globlastp


WNU25_H14
maize|10v1|AI586898_P1
2366
5549
224
89.3
globlastp


WNU25_H15
maize|10v1|AI920462_P1
2367
5550
224
89.3
globlastp


WNU25_H16
sorghum|12v1|SB04G035260
2368
5551
224
89.3
globlastp


WNU25_H17
sugarcane|10v1|CA085045
2369
5551
224
89.3
globlastp


WNU25_H18
switchgrass|gb167|DN144110
2370
5547
224
89.3
globlastp


WNU25_H19
switchgrass|gb167|FE605308
2371
5552
224
89.3
globlastp


WNU25_H244
switchgrass|12v1|FE605308_T1
2372
5553
224
89.29
glotblastn


WNU25_H20
barley|12v1|BF621135_P1
2373
5554
224
88.4
globlastp


WNU25_H21
foxtail_millet|11v3|EC613076_P1
2374
5555
224
88.4
globlastp


WNU25_H22
maize|10v1|AI861705_P1
2375
5555
224
88.4
globlastp


WNU25_H23
oat|11v1|GO585912_P1
2376
5556
224
88.4
globlastp


WNU25_H24
sorghum|12v1|SB02G022800
2377
5555
224
88.4
globlastp


WNU25_H25
sorghum|12v1|SB10G006160
2378
5555
224
88.4
globlastp


WNU25_H26
sugarcane|10v1|CA073479
2379
5555
224
88.4
globlastp


WNU25_H27
sugarcane|10v1|CA080489
2380
5555
224
88.4
globlastp


WNU25_H28
switchgrass|gb167|DN144952
2381
5555
224
88.4
globlastp


WNU25_H29
wheat|12v3|CA617426
2382
5557
224
88.4
globlastp


WNU25_H245
switchgrass|12v1|DN144952_P1
2383
5558
224
87.5
globlastp


WNU25_H30
brachypodium|12v1|BRADI1G46840T2_P1
2384
5559
224
87.5
globlastp


WNU25_H31
maize|10v1|AI649449_P1
2385
5560
224
87.5
globlastp


WNU25_H32
oat|11v1|GO587688_P1
2386
5561
224
87.5
globlastp


WNU25_H33
pseudoroegneria|gb167|FF340444
2387
5562
224
87.5
globlastp


WNU25_H34
rice|11v1|BI798607
2388
5563
224
87.5
globlastp


WNU25_H35
wheat|12v3|CA484758
2389
5564
224
87.5
globlastp


WNU25_H246
switchgrass|12v1|FE598493_P1
2390
5565
224
86.6
globlastp


WNU25_H36
brachypodium|12v1|BRADI4G16690T3_P1
2391
5566
224
86.6
globlastp


WNU25_H37
rye|12v1|BE587162
2392
5567
224
86.6
globlastp


WNU25_H38
rye|12v1|DRR001012.117644
2393
5567
224
86.6
globlastp


WNU25_H39
rye|12v1|DRR001012.126188
2394
5567
224
86.6
globlastp


WNU25_H40
rye|12v1|DRR001013.116024
2395
5567
224
86.6
globlastp


WNU25_H41
switchgrass|gb167|FE598493
2396
5565
224
86.6
globlastp


WNU25_H42
wheat|12v3|BE398239
2397
5568
224
86.6
globlastp


WNU25_H43
wheat|12v3|BE415850
2398
5568
224
86.6
globlastp


WNU25_H247
switchgrass|12v1|FE612122_P1
2399
5569
224
84.8
globlastp


WNU25_H248
switchgrass|12v1|FL823395_P1
2400
5570
224
84.8
globlastp


WNU25_H44
millet|10v1|EVO454PM026346_P1
2401
5569
224
84.8
globlastp


WNU25_H45
switchgrass|gb167|FE612122
2402
5570
224
84.8
globlastp


WNU25_H46
thellungiella_parvulum|11v1|EC599854
2403
5571
224
83.93
glotblastn


WNU25_H47
foxtail_millet|11v3|PHY7SI023690M_P1
2404
5572
224
83.9
globlastp


WNU25_H48
sugarcane|10v1|CA280291
2405
5573
224
83.9
globlastp


WNU25_H49
oil_palm|11v1|EL682917_T1
2406
5574
224
83.04
glotblastn


WNU25_H50
cenchrus|gb166|EB652816_P1
2407
5575
224
83
globlastp


WNU25_H51
oil_palm|11v1|EL683598_P1
2408
5576
224
83
globlastp


WNU25_H52
oil_palm|11v1|EL693872_P1
2409
5576
224
83
globlastp


WNU25_H53
oil_palm|11v1|SRR190698.190267_P1
2410
5576
224
83
globlastp


WNU25_H54
phalaenopsis|11v1|CK856294_P1
2411
5577
224
83
globlastp


WNU25_H55
pineapple|10v1|DT336564_P1
2412
5578
224
83
globlastp


WNU25_H56
sorghum|12v1|SB09G027930
2413
5579
224
83
globlastp


WNU25_H57
tripterygium|11v1|SRR098677X101244
2414
5580
224
83
globlastp


WNU25_H58
onion|12v1|SRR073446X10568D1_T1
2415
5581
224
82.14
glotblastn


WNU25_H59
ambrosia|11v1|SRR346943.142368_P1
2416
5582
224
82.1
globlastp


WNU25_H60
ambrosia|11v1|SRR346943.21771_P1
2417
5582
224
82.1
globlastp


WNU25_H61
amorphophallus|11v2|SRR089351X101954_P1
2418
5583
224
82.1
globlastp


WNU25_H62
arabidopsis_lyrata|09v1|JGIAL007699_P1
2419
5584
224
82.1
globlastp


WNU25_H63
arabidopsis|10v1|AT1G74270_P1
2420
5584
224
82.1
globlastp


WNU25_H64
arnica|11v1|SRR099034X108607_P1
2421
5585
224
82.1
globlastp


WNU25_H65
banana|12v1|FL646653_P1
2422
5586
224
82.1
globlastp


WNU25_H66
banana|12v1|FL657827_P1
2423
5587
224
82.1
globlastp


WNU25_H67
banana|12v1|FL658310_P1
2424
5588
224
82.1
globlastp


WNU25_H68
brachypodium|12v1|BRADI2G17180_P1
2425
5589
224
82.1
globlastp


WNU25_H69
epimedium|11v1|SRR013502.11986_P1
2426
5590
224
82.1
globlastp


WNU25_H70
fagopyrum|11v1|SRR063703X132083_P1
2427
5591
224
82.1
globlastp


WNU25_H71
flaveria|11v1|SRR149229.210796_P1
2428
5592
224
82.1
globlastp


WNU25_H72
oil_palm|11v1|EL681302_P1
2429
5593
224
82.1
globlastp


WNU25_H73
oil_palm|11v1|EL690268_P1
2430
5593
224
82.1
globlastp


WNU25_H74
oil_palm|11v1|SRR190698.163775_P1
2431
5593
224
82.1
globlastp


WNU25_H75
oil_palm|11v1|SRR190698.471823_P1
2432
5593
224
82.1
globlastp


WNU25_H76
oil_palm|11v1|SRR190700.314411_P1
2433
5593
224
82.1
globlastp


WNU25_H77
onion|12v1|SRR073446X102051D1_P1
2434
5594
224
82.1
globlastp


WNU25_H78
primula|11v1|SRR098679X100031_P1
2435
5595
224
82.1
globlastp


WNU25_H79
primula|11v1|SRR098679X101714_P1
2436
5595
224
82.1
globlastp


WNU25_H80
primula|11v1|SRR098679X121607_P1
2437
5595
224
82.1
globlastp


WNU25_H81
primula|11v1|SRR098679X131815_P1
2438
5595
224
82.1
globlastp


WNU25_H82
thellungiella_halophilum|11v1|EHJGI11002045
2439
5596
224
82.1
globlastp


WNU25_H83
thellungiella_parvulum|11v1|EPCRP000289
2440
5597
224
82.1
globlastp


WNU25_H84
b_rapa|11v1|BG545012_T1
2441
5598
224
81.25
glotblastn


WNU25_H85
heritiera|10v1|SRR005795S0038179_T1
2442
5599
224
81.25
glotblastn


WNU25_H86
primula|11v1|SRR098679X114257_T1
2443
5600
224
81.25
glotblastn


WNU25_H87
primula|11v1|SRR098679X130378_T1
2444
5601
224
81.25
glotblastn


WNU25_H88
rye|12v1|DRR001013.103374
2445
5602
224
81.25
glotblastn


WNU25_H89
thellungiella_halophilum|11v1|EC599854
2446
5603
224
81.25
glotblastn


WNU25_H249
zostera|12v1|AM766870_P1
2447
5604
224
81.2
globlastp


WNU25_H90
amborella|12v3|FD442449_P1
2448
5605
224
81.2
globlastp


WNU25_H91
ambrosia|11v1|SRR346943.215855_P1
2449
5606
224
81.2
globlastp


WNU25_H92
amorphophallus|11v2|SRR089351X100036_P1
2450
5607
224
81.2
globlastp


WNU25_H93
amsonia|11v1|SRR098688X104552_P1
2451
5608
224
81.2
globlastp


WNU25_H94
antirrhinum|gb166|AJ558790_P1
2452
5609
224
81.2
globlastp


WNU25_H95
antirrhinum|gb166|AJ559611_P1
2453
5609
224
81.2
globlastp


WNU25_H96
aquilegia|10v2|JGIAC007651_P1
2454
5610
224
81.2
globlastp


WNU25_H97
arabidopsis_lyrata|09v1|JGIAL000666_P1
2455
5611
224
81.2
globlastp


WNU25_H98
arabidopsis|10v1|AT1G07070_P1
2456
5611
224
81.2
globlastp


WNU25_H99
b_juncea|12v1|E6ANDIZ01AH3RZ_P1
2457
5612
224
81.2
globlastp


WNU25_H100
b_juncea|12v1|E6ANDIZ01AL5IF_P1
2458
5612
224
81.2
globlastp


WNU25_H101
b_juncea|12v1|E6ANDIZ01AMZL3_P1
2459
5612
224
81.2
globlastp


WNU25_H102
b_juncea|12v1|E6ANDIZ01AZ4GX_P1
2460
5612
224
81.2
globlastp


WNU25_H103
b_juncea|12v1|E6ANDIZ01BFBB2_P1
2461
5612
224
81.2
globlastp


WNU25_H104
b_juncea|12v1|E6ANDIZ01BGXW0_P1
2462
5613
224
81.2
globlastp


WNU25_H105
b_juncea|12v1|E6ANDIZ01C4ROX_P1
2463
5612
224
81.2
globlastp


WNU25_H106
b_oleracea|gb161|DY027311_P1
2464
5612
224
81.2
globlastp


WNU25_H107
b_oleracea|gb161|DY028809_P1
2465
5612
224
81.2
globlastp


WNU25_H108
b_oleracea|gb161|DY029302_P1
2466
5612
224
81.2
globlastp


WNU25_H109
b_rapa|11v1|BG544760_P1
2467
5612
224
81.2
globlastp


WNU25_H110
b_rapa|11v1|CD822482_P1
2468
5612
224
81.2
globlastp


WNU25_H111
banana|12v1|ES432695_P1
2469
5614
224
81.2
globlastp


WNU25_H112
beech|11v1|SRR006293.11373_P1
2470
5615
224
81.2
globlastp


WNU25_H113
beech|11v1|SRR006293.24985_P1
2471
5616
224
81.2
globlastp


WNU25_H114
bruguiera|gb166|BP941824_P1
2472
5617
224
81.2
globlastp


WNU25_H115
canola|11v1|CN725900_P1
2473
5612
224
81.2
globlastp


WNU25_H116
canola|11v1|CN730046_P1
2474
5612
224
81.2
globlastp


WNU25_H117
canola|11v1|CN730557_P1
2475
5612
224
81.2
globlastp


WNU25_H118
canola|11v1|CN731259_P1
2476
5612
224
81.2
globlastp


WNU25_H119
canola|11v1|CN732999_P1
2477
5612
224
81.2
globlastp


WNU25_H120
canola|11v1|SRR019556.44642_P1
2478
5612
224
81.2
globlastp


WNU25_H121
cassava|09v1|CK651690_P1
2479
5618
224
81.2
globlastp


WNU25_H122
chelidonium|11v1|SRR084752X103833_P1
2480
5619
224
81.2
globlastp


WNU25_H123
cleome_spinosa|10v1|GR932649_P1
2481
5620
224
81.2
globlastp


WNU25_H124
cleome_spinosa|10v1|SRR015531S0108810_P1
2482
5620
224
81.2
globlastp


WNU25_H125
fagopyrum|11v1|SRR063689X106014_P1
2483
5621
224
81.2
globlastp


WNU25_H126
fagopyrum|11v1|SRR063689X111531_P1
2484
5622
224
81.2
globlastp


WNU25_H127
flaveria|11v1|SRR149229.179279_P1
2485
5623
224
81.2
globlastp


WNU25_H128
flaveria|11v1|SRR149232.144363_P1
2486
5623
224
81.2
globlastp


WNU25_H129
flaveria|11v1|SRR149232.247406_P1
2487
5623
224
81.2
globlastp


WNU25_H130
ipomoea_nil|10v1|BJ558540_P1
2488
5624
224
81.2
globlastp


WNU25_H131
lettuce|12v1|DW050731_P1
2489
5625
224
81.2
globlastp


WNU25_H132
onion|12v1|BQ579934_P1
2490
5626
224
81.2
globlastp


WNU25_H133
poppy|11v1|SRR096789.144347_P1
2491
5619
224
81.2
globlastp


WNU25_H134
primula|11v1|SRR098679X10523_P1
2492
5627
224
81.2
globlastp


WNU25_H135
primula|11v1|SRR098679X106162_P1
2493
5627
224
81.2
globlastp


WNU25_H136
radish|gb164|EV528423
2494
5612
224
81.2
globlastp


WNU25_H137
radish|gb164|EV535096
2495
5612
224
81.2
globlastp


WNU25_H138
radish|gb164|EV536363
2496
5612
224
81.2
globlastp


WNU25_H139
radish|gb164|EV538123
2497
5612
224
81.2
globlastp


WNU25_H140
radish|gb164|EV566939
2498
5612
224
81.2
globlastp


WNU25_H141
radish|gb164|FD538891
2499
5612
224
81.2
globlastp


WNU25_H142
rice|11v1|AU063148
2500
5628
224
81.2
globlastp


WNU25_H143
rice|11v1|BE040487
2501
5628
224
81.2
globlastp


WNU25_H144
rye|12v1|BE494253
2502
5629
224
81.2
globlastp


WNU25_H145
rye|12v1|DRR001012.183966
2503
5630
224
81.2
globlastp


WNU25_H146
rye|12v1|DRR001013.308355
2504
5630
224
81.2
globlastp


WNU25_H147
tabernaemontana|11v1|SRR098689X128000
2505
5631
224
81.2
globlastp


WNU25_H148
zostera|10v1|AM766870
2506
5604
224
81.2
globlastp


WNU25_H250
olea|13v1|SRR014463X3883D1_P1
2507
5632
224
80.4
globlastp


WNU25_H251
olea|13v1|SRR014464X66765D1_P1
2508
5633
224
80.4
globlastp


WNU25_H252
olea|13v1|SRR592583X243645D1_P1
2509
5632
224
80.4
globlastp


WNU25_H149
acacia|10v1|FS584555_P1
2510
5634
224
80.4
globlastp


WNU25_H150
ambrosia|11v1|GR935755_P1
2511
5635
224
80.4
globlastp


WNU25_H151
ambrosia|11v1|SRR346943.114688_P1
2512
5636
224
80.4
globlastp


WNU25_H152
antirrhinum|gb166|AJ559172_P1
2513
5637
224
80.4
globlastp


WNU25_H153
bruguiera|gb166|BP942309_P1
2514
5638
224
80.4
globlastp


WNU25_H154
bupleurum|11v1|FG341999_P1
2515
5639
224
80.4
globlastp


WNU25_H155
cannabis|12v1|JK496655_P1
2516
5640
224
80.4
globlastp


WNU25_H156
cannabis|12v1|SOLX00016128_P1
2517
5640
224
80.4
globlastp


WNU25_H157
canola|11v1|CN730086_P1
2518
5641
224
80.4
globlastp


WNU25_H158
cassava|09v1|BM259993_P1
2519
5642
224
80.4
globlastp


WNU25_H159
clementine|11v1|BQ622914_P1
2520
5643
224
80.4
globlastp


WNU25_H160
cleome_gynandra|10v1|SRR015532S0016650_P1
2521
5644
224
80.4
globlastp


WNU25_H161
cleome_spinosa|10v1|SRR015531S0002868_P1
2522
5645
224
80.4
globlastp


WNU25_H162
cleome_spinosa|10v1|SRR015531S0012716_P1
2523
5646
224
80.4
globlastp


WNU25_H163
cotton|11v1|AI728911_P1
2524
5642
224
80.4
globlastp


WNU25_H164
cotton|11v1|BE053043_P1
2525
5642
224
80.4
globlastp


WNU25_H165
cotton|11v1|BF275635_P1
2526
5642
224
80.4
globlastp


WNU25_H166
cotton|11v1|BG440681_P1
2527
5642
224
80.4
globlastp


WNU25_H167
cotton|11v1|CO097269_P1
2528
5642
224
80.4
globlastp


WNU25_H168
cotton|11v1|DR452454_P1
2529
5642
224
80.4
globlastp


WNU25_H169
epimedium|11v1|SRR013502.14401_P1
2530
5647
224
80.4
globlastp


WNU25_H170
eucalyptus|11v2|CT986860_P1
2531
5648
224
80.4
globlastp


WNU25_H171
euonymus|11v1|SRR070038X107385_P1
2532
5649
224
80.4
globlastp


WNU25_H172
euphorbia|11v1|BP958921_P1
2533
5650
224
80.4
globlastp


WNU25_H173
euphorbia|11v1|DV144443_P1
2534
5651
224
80.4
globlastp


WNU25_H174
spurge|gb161|DV144443
2534
5651
224
80.4
globlastp


WNU25_H175
fagopyrum|11v1|SRR063689X87577_P1
2535
5652
224
80.4
globlastp


WNU25_H176
flaveria|11v1|SRR149232.184670XX1_P1
2536
5653
224
80.4
globlastp


WNU25_H177
flaveria|11v1|SRR149232.246003_P1
2537
5653
224
80.4
globlastp


WNU25_H178
flaveria|11v1|SRR149241.133862_P1
2538
5654
224
80.4
globlastp


WNU25_H179
fraxinus|11v1|SRR058827.103553_P1
2539
5632
224
80.4
globlastp


WNU25_H180
fraxinus|11v1|SRR058827.11380_P1
2540
5632
224
80.4
globlastp


WNU25_H181
fraxinus|11v1|SRR058827.116732_P1
2541
5655
224
80.4
globlastp


WNU25_H182
gossypium_raimondii|12v1|AI728911_P1
2542
5642
224
80.4
globlastp


WNU25_H183
gossypium_raimondii|12v1|BE053043_P1
2543
5642
224
80.4
globlastp


WNU25_H184
gossypium_raimondii|12v1|BF275635_P1
2544
5642
224
80.4
globlastp


WNU25_H185
gossypium_raimondii|12v1|BG440681_P1
2545
5642
224
80.4
globlastp


WNU25_H186
heritiera|10v1|SRR005794S0005077_P1
2546
5656
224
80.4
globlastp


WNU25_H187
hevea|10v1|EC606310_P1
2547
5642
224
80.4
globlastp


WNU25_H188
hornbeam|12v1|SRR364455.104699_P1
2548
5657
224
80.4
globlastp


WNU25_H189
humulus|11v1|ES655136_P1
2549
5658
224
80.4
globlastp


WNU25_H190
humulus|11v1|ES658210_P1
2550
5659
224
80.4
globlastp


WNU25_H191
ipomoea_batatas|10v1|BU690618_P1
2551
5660
224
80.4
globlastp


WNU25_H192
ipomoea_nil|10v1|BJ562851_P1
2552
5661
224
80.4
globlastp


WNU25_H193
kiwi|gb166|FG456793_P1
2553
5662
224
80.4
globlastp


WNU25_H194
kiwi|gb166|FG480841_P1
2554
5663
224
80.4
globlastp


WNU25_H195
kiwi|gb166|FG499198_P1
2555
5663
224
80.4
globlastp


WNU25_H196
lettuce|12v1|DW051774_P1
2556
5664
224
80.4
globlastp


WNU25_H197
liquorice|gb171|FS250698_P1
2557
5665
224
80.4
globlastp


WNU25_H198
oak|10v1|DN950044_P1
2558
5666
224
80.4
globlastp


WNU25_H199
oak|10v1|SRR006307S0004443_P1
2559
5666
224
80.4
globlastp


WNU25_H200
olea|11v1|SRR014463.28420
2560
5632
224
80.4
globlastp


WNU25_H200
olea|13v1|SRR014463X28420D1_P1
2561
5632
224
80.4
globlastp


WNU25_H201
olea|11v1|SRR014463.55804
2562
5667
224
80.4
globlastp


WNU25_H201
olea|13v1|SRR014463X55804D1_P1
2563
5632
224
80.4
globlastp


WNU25_H202
olea|11v1|SRR014463.6958
2564
5668
224
80.4
globlastp


WNU25_H202
olea|13v1|SRR014463X6958D1_P1
2565
5668
224
80.4
globlastp


WNU25_H203
onion|12v1|SRR073446X110592D1_P1
2566
5669
224
80.4
globlastp


WNU25_H204
onion|12v1|SRR073446X116492D1_P1
2567
5669
224
80.4
globlastp


WNU25_H205
onion|12v1|SRR073447X101052D1_P1
2568
5670
224
80.4
globlastp


WNU25_H206
orange|11v1|BQ622914_P1
2569
5643
224
80.4
globlastp


WNU25_H207
orobanche|10v1|SRR023189S0006021_P1
2570
5671
224
80.4
globlastp


WNU25_H208
orobanche|10v1|SRR023189S0033892_P1
2571
5671
224
80.4
globlastp


WNU25_H209
papaya|gb165|EX241854_P1
2572
5672
224
80.4
globlastp


WNU25_H210
plantago|11v2|SRR066373X102923_P1
2573
5673
224
80.4
globlastp


WNU25_H211
plantago|11v2|SRR066373X104364_P1
2574
5674
224
80.4
globlastp


WNU25_H212
plantago|11v2|SRR066373X105650_P1
2575
5673
224
80.4
globlastp


WNU25_H213
platanus|11v1|SRR096786X100809_P1
2576
5675
224
80.4
globlastp


WNU25_H214
platanus|11v1|SRR096786X109435_P1
2577
5676
224
80.4
globlastp


WNU25_H215
poplar|10v1|AI166233
2578
5677
224
80.4
globlastp


WNU25_H215
poplar|13v1|AI166233_P1
2579
5677
224
80.4
globlastp


WNU25_H216
poplar|10v1|BU814801
2580
5678
224
80.4
globlastp


WNU25_H216
poplar|13v1|AI161628_P1
2581
5678
224
80.4
globlastp


WNU25_H217
poppy|11v1|SRR030259.179909_P1
2582
5679
224
80.4
globlastp


WNU25_H218
potato|10v1|AJ489116_P1
2583
5680
224
80.4
globlastp


WNU25_H219
rose|12v1|BI977765
2584
5681
224
80.4
globlastp


WNU25_H220
scabiosa|11v1|SRR063723X10401
2585
5682
224
80.4
globlastp


WNU25_H221
scabiosa|11v1|SRR063723X104236
2586
5682
224
80.4
globlastp


WNU25_H222
scabiosa|11v1|SRR063723X104248
2587
5682
224
80.4
globlastp


WNU25_H223
sesame|12v1|BU669934
2588
5683
224
80.4
globlastp


WNU25_H224
solanum_phureja|09v1|SPHBG126911
2589
5680
224
80.4
globlastp


WNU25_H225
strawberry|11v1|CO379975
2590
5684
224
80.4
globlastp


WNU25_H226
sunflower|12v1|CD852047
2591
5685
224
80.4
globlastp


WNU25_H227
sunflower|12v1|DY930840
2592
5685
224
80.4
globlastp


WNU25_H228
sunflower|12v1|EE654475
2593
5685
224
80.4
globlastp


WNU25_H229
sunflower|12v1|EL487963
2594
5685
224
80.4
globlastp


WNU25_H230
tamarix|gb166|CN605565
2595
5686
224
80.4
globlastp


WNU25_H231
thellungiella_parvulum|11v1|BY823299
2596
5687
224
80.4
globlastp


WNU25_H232
tobacco|gb162|CV016860
2597
5688
224
80.4
globlastp


WNU25_H233
tripterygium|11v1|SRR098677X101214
2598
5689
224
80.4
globlastp


WNU25_H234
valeriana|11v1|SRR099039X139272
2599
5690
224
80.4
globlastp


WNU25_H235
watermelon|11v1|AM726796
2600
5651
224
80.4
globlastp


WNU25_H156
cannabis|12v1|SOLX00016128
2601
—
224
80.4
globlastp


WNU25_H236
amborella|12v3|SRR038635.86906_T1
2602
5691
224
80.36
glotblastn


WNU25_H237
chelidonium|11v1|SRR084752X110041XX1_T1
2603
5692
224
80.36
glotblastn


WNU25_H238
fraxinus|11v1|SRR058827.112628XX1_T1
2604
5693
224
80.36
glotblastn


WNU25_H239
onion|12v1|SRR073446X323707D1_T1
2605
5694
224
80.36
glotblastn


WNU25_H240
orobanche|10v1|SRR023189S0011510_T1
2606
5695
224
80.36
glotblastn


WNU25_H241
tamarix|gb166|EH054247
2607
5696
224
80.36
glotblastn


WNU25_H242
tomato|11v1|AF014810
2608
5697
224
80.36
glotblastn


WNU26_H1
wheat|12v3|BE406211
2609
5698
225
98.4
globlastp


WNU26_H2
rye|12v1|DRR001012.126564
2610
5699
225
96.8
globlastp


WNU26_H3
wheat|12v3|BE400479
2611
5700
225
96.8
globlastp


WNU26_H4
brachypodium|12v1|BRADI1G14290_P1
2612
5701
225
96
globlastp


WNU26_H5
wheat|12v3|BF484088
2613
5702
225
94.4
globlastp


WNU26_H24
switchgrass|12v1|FL933393_P1
2614
5703
225
93.7
globlastp


WNU26_H6
switchgrass|gb167|DN140893
2615
5703
225
93.7
globlastp


WNU26_H7
switchgrass|gb167|FL933393
2616
5703
225
93.7
globlastp


WNU26_H25
switchgrass|12v1|DN140893_P1
2617
5704
225
92.9
globlastp


WNU26_H8
maize|10v1|AI714588_P1
2618
5705
225
92.9
globlastp


WNU26_H9
oat|11v1|CN814979_P1
2619
5706
225
92.9
globlastp


WNU26_H10
sorghum|12v1|SB01G014170
2620
5705
225
92.9
globlastp


WNU26_H11
sugarcane|10v1|BQ531137
2621
5705
225
92.9
globlastp


WNU26_H12
cenchrus|gb166|EB654230_P1
2622
5707
225
92.1
globlastp


WNU26_H13
cynodon|10v1|ES292027_P1
2623
5708
225
91.3
globlastp


WNU26_H14
foxtail_millet|11v3|PHY7SI038038M_P1
2624
5709
225
91.3
globlastp


WNU26_H15
maize|10v1|BG841652_P1
2625
5710
225
91.3
globlastp


WNU26_H16
millet|10v1|EVO454PM036675_P1
2626
5711
225
91.3
globlastp


WNU26_H17
rice|11v1|AU029299
2627
5712
225
91.3
globlastp


WNU26_H18
banana|12v1|BBS2223T3_P1
2628
5713
225
81.7
globlastp


WNU26_H19
amorphophallus|11v2|SRR089351X107417_P1
2629
5714
225
81
globlastp


WNU26_H20
oil_palm|11v1|EL930593_P1
2630
5715
225
81
globlastp


WNU26_H21
aristolochia|10v1|SRR039082S0000924_P1
2631
5716
225
80.2
globlastp


WNU26_H22
fescue|gb161|DT702314_P1
2632
5717
225
80.2
globlastp


WNU26_H23
ginger|gb164|DY353684_P1
2633
5718
225
80.2
globlastp


WNU27_H10
rice|11v1|D45954
2634
5719
226
80.5
globlastp


WNU28_H10
rye|12v1|BE587449
2635
5720
227
82.84
glotblastn


WNU28_H11
rye|12v1|DRR001012.309192
2636
5721
227
82.84
glotblastn


WNU28_H14
wheat|12v3|CA602648
2637
5722
227
82.09
glotblastn


WNU28_H18
wheat|12v3|BE445687
2638
5723
227
81
globlastp


WNU28_H19
wheat|12v3|BE406147
2639
5724
227
80.9
globlastp


WNU28_H20
rye|12v1|DRR001013.219293
2640
5725
227
80.3
globlastp


WNU29_H1
wheat|12v3|BE406488
2641
5726
228
93
globlastp


WNU29_H2
wheat|12v3|BE403792
2642
5727
228
91.8
globlastp


WNU29_H3
leymus|gb166|EG397801_P1
2643
5728
228
91.4
globlastp


WNU29_H4
pseudoroegneria|gb167|FF342698
2644
5729
228
91.4
globlastp


WNU29_H5
rye|12v1|BF145411
2645
5730
228
90.7
globlastp


WNU29_H6
rye|12v1|BF145631
2646
5731
228
90.7
globlastp


WNU29_H7
rye|12v1|DRR001012.113133
2647
5732
228
90.7
globlastp


WNU29_H8
rye|12v1|DRR001012.152886
2648
5732
228
90.7
globlastp


WNU29_H9
rye|12v1|BF146193
2649
5733
228
89.9
globlastp


WNU29_H10
rye|12v1|CD453333
2650
5734
228
87.94
glotblastn


WNU29_H11
lolium|10v1|DT671714_P1
2651
5735
228
86
globlastp


WNU29_H12
oat|11v1|CN820724_P1
2652
5736
228
86
globlastp


WNU29_H13
oat|11v1|GO591470_P1
2653
5736
228
86
globlastp


WNU29_H14
brachypodium|12v1|BRADI2G19230_P1
2654
5737
228
85.2
globlastp


WNU29_H15
rye|12v1|BE438598
2655
5738
228
84.44
glotblastn


WNU29_H16
switchgrass|gb167|FE646280
2656
5739
228
81.5
globlastp


WNU29_H17
cenchrus|gb166|EB652567_P1
2657
5740
228
81.4
globlastp


WNU29_H18
foxtail_millet|11v3|PHY7SI022465M_P1
2658
5741
228
81.2
globlastp


WNU29_H22
switchgrass|12v1|DN152053_P1
2659
5742
228
81.1
globlastp


WNU29_H19
switchgrass|gb167|DN152053
2660
5742
228
81.1
globlastp


WNU29_H20
sugarcane|10v1|CA072716
2661
5743
228
80.8
globlastp


WNU29_H21
millet|10v1|EVO454PM032994_P1
2662
5744
228
80.1
globlastp


WNU30_H1
wheat|12v3|BE418237
2663
5745
229
96.1
globlastp


WNU30_H2
rye|12v1|DRR001012.105664
2664
5746
229
95.7
globlastp


WNU30_H3
wheat|12v3|BE591687
2665
5747
229
94.7
globlastp


WNU30_H4
brachypodium|12v1|BRADI3G29797_P1
2666
5748
229
88.2
globlastp


WNU30_H5
oat|11v1|GR320126_P1
2667
5749
229
87.5
globlastp


WNU30_H6
millet|10v1|PMSLX0005022D1_P1
2668
5750
229
82.1
globlastp


WNU30_H7
foxtail_millet|11v3|PHY7SI035904M_P1
2669
5751
229
81.7
globlastp


WNU30_H8
maize|10v1|AI920364_P1
2670
5752
229
81.7
globlastp


WNU30_H9
rice|11v1|CA757830
2671
5753
229
80.6
globlastp


WNU30_H10
sorghum|12v1|SB01G018410
2672
5754
229
80.4
globlastp


WNU31_H1
rye|12v1|DRR001012.813021
2673
5755
230
93.3
globlastp


WNU31_H2
rye|12v1|DRR001012.207578
2674
5756
230
92.7
globlastp


WNU31_H3
brachypodium|12v1|BRADI1G18130_P1
2675
5757
230
82.6
globlastp


WNU32_H1
rye|12v1|DRR001012.118312
2676
5758
231
94
globlastp


WNU32_H2
wheat|12v3|BE516348
2677
5759
231
94
globlastp


WNU32_H3
oat|11v1|AF140553_T1
2678
5760
231
85.57
glotblastn


WNU32_H4
brachypodium|12v1|BRADI1G71570_P1
2679
5761
231
83.4
globlastp


WNU33_H1
wheat|12v3|BE637743
2680
5762
232
95.7
globlastp


WNU33_H2
rye|12v1|DRR001012.113659
2681
5763
232
94.2
globlastp


WNU33_H3
rye|12v1|DRR001012.7421
2682
5764
232
94.2
globlastp


WNU33_H4
brachypodium|12v1|BRADI4G44832_P1
2683
5765
232
91.3
globlastp


WNU33_H19
switchgrass|12v1|FL897048_P1
2684
5766
232
87
globlastp


WNU33_H20
switchgrass|12v1|GD035382_P1
2685
5766
232
87
globlastp


WNU33_H5
foxtail_millet|11v3|PHY7SI012551M_P1
2686
5766
232
87
globlastp


WNU33_H6
switchgrass|gb167|FL897048
2687
5766
232
87
globlastp


WNU33_H7
rice|11v1|CF325265
2688
5767
232
86.96
glotblastn


WNU33_H8
fescue|gb161|DT705155_T1
2689
5768
232
85.92
glotblastn


WNU33_H9
rice|11v1|AU166875
2690
5769
232
85.51
glotblastn


WNU33_H10
foxtail_millet|11v3|SOLX00022948_P1
2691
5770
232
85.5
globlastp


WNU33_H11
sorghum|12v1|SB08G000650
2692
5771
232
85.5
globlastp


WNU33_H12
maize|10v1|DW530314_P1
2693
5772
232
84.5
globlastp


WNU33_H13
maize|10v1|BE225167_P1
2694
5773
232
84.3
globlastp


WNU33_H14
sorghum|12v1|SB05G000620
2695
5774
232
84.1
globlastp


WNU33_H15
switchgrass|gb167|FL886195
2696
5775
232
84.1
globlastp


WNU33_H16
maize|10v1|DW898426_T1
2697
5776
232
84.06
glotblastn


WNU33_H17
sugarcane|10v1|CF575834
2698
5777
232
83.1
globlastp


WNU33_H18
millet|10v1|PMSLX0075855D2_P1
2699
5778
232
81.2
globlastp


WNU34_H1
wheat|12v3|BU101180
2700
5779
233
91.8
globlastp


WNU35_H1
wheat|12v3|BG605144
2701
5780
234
95.1
globlastp


WNU35_H2
wheat|12v3|CJ587392
2702
5781
234
92.3
globlastp


WNU35_H3
rye|12v1|DRR001012.119573
2703
5782
234
92
globlastp


WNU35_H4
barley|12v1|EX583178_P1
2704
5783
234
91.4
globlastp


WNU35_H5
wheat|12v3|BF202649
2705
5784
234
90.7
globlastp


WNU35_H6
wheat|12v3|CA599142
2706
5785
234
90.6
globlastp


WNU35_H7
rye|12v1|DRR001012.166983
2707
5786
234
90.1
globlastp


WNU35_H8
rye|12v1|DRR001012.123100
2708
5787
234
89.7
globlastp


WNU35_H9
wheat|12v3|BE401525
2709
5788
234
88.3
globlastp


WNU35_H10
oat|11v1|GR316665_P1
2710
5789
234
87.7
globlastp


WNU35_H11
brachypodium|12v1|BRADI2G07160_P1
2711
5790
234
87.4
globlastp


WNU35_H12
sugarcane|10v1|CA119713
2712
5791
234
85.07
glotblastn


WNU35_H13
rice|11v1|AA753081
2713
5792
234
83.7
globlastp


WNU35_H14
foxtail_millet|11v3|EC612259_P1
2714
5793
234
83.3
globlastp


WNU35_H15
foxtail_millet|11v3|PHY7SI036563M_P1
2715
5794
234
83.3
globlastp


WNU35_H21
switchgrass|12v1|DN145422_P1
2716
5795
234
82.9
globlastp


WNU35_H16
millet|10v1|EVO454PM030513_P1
2717
5796
234
82.6
globlastp


WNU35_H22
switchgrass|12v1|DN145373_P1
2718
5797
234
82.4
globlastp


WNU35_H17
maize|10v1|AI964587_P1
2719
5798
234
82.4
globlastp


WNU35_H18
sorghum|12v1|SB03G001550
2720
5799
234
82.4
globlastp


WNU35_H19
switchgrass|gb167|DN145373
2721
5800
234
82.1
globlastp


WNU35_H20
maize|10v1|CF244168_P1
2722
5801
234
81.5
globlastp


WNU36_H1
wheat|12v3|BE443031
2723
5802
235
95.6
globlastp


WNU36_H5
wheat|12v3|BQ789293
2724
5803
235
95.14
glotblastn


WNU36_H3
rye|12v1|BE586716
2725
5804
235
95.1
globlastp


WNU36_H4
wheat|12v3|BE517286
2726
5805
235
95.1
globlastp


WNU36_H2
wheat|12v3|BF202371
2727
5806
235
93.69
glotblastn


WNU36_H8
brachypodium|12v1|BRADI3G53420_P1
2728
5807
235
85.7
globlastp


WNU37_H1
wheat|12v3|BE606832
2729
5808
236
97.9
globlastp


WNU37_H2
wheat|12v3|BF483879
2730
5809
236
97.8
globlastp


WNU37_H3
wheat|12v3|BG262647
2731
5810
236
97.8
globlastp


WNU37_H4
rye|12v1|DRR001012.103169
2732
5811
236
97.5
globlastp


WNU37_H5
wheat|12v3|BE606184
2733
5812
236
97.19
glotblastn


WNU37_H7
foxtail_millet|11v3|PHY7SI021351M_P1
2734
5813
236
92.4
globlastp


WNU37_H8
rice|11v1|BI811423
2735
5814
236
92.3
globlastp


WNU37_H25
switchgrass|12v1|DN142304_T1
2736
5815
236
92.15
glotblastn


WNU37_H9
switchgrass|gb167|DN142304
2737
5816
236
92.15
glotblastn


WNU37_H26
switchgrass|12v1|FE628118_P1
2738
5817
236
92
globlastp


WNU37_H10
millet|10v1|EVO454PM014456_P1
2739
5818
236
92
globlastp


WNU37_H11
sorghum|12v1|SB08G018440
2740
5819
236
92
globlastp


WNU37_H12
sugarcane|10v1|CA068434
2741
5820
236
92
globlastp


WNU37_H13
maize|10v1|AW330878_P1
2742
5821
236
91
globlastp


WNU37_H14
maize|10v1|AI615160_P1
2743
5822
236
89.9
globlastp


WNU37_H15
banana|12v1|FL649484_P1
2744
5823
236
83.8
globlastp


WNU37_H19
oak|10v1|FP034259_P1
2745
5824
236
81.4
globlastp


WNU37_H21
amorphophallus|11v2|SRR089351X160169_P1
2746
5825
236
80.5
globlastp


WNU37_H22
amborella|12v3|FD432214_P1
2747
5826
236
80.2
globlastp


WNU37_H23
aquilegia|10v2|DR927606_P1
2748
5827
236
80.1
globlastp


WNU38_H1
rye|12v1|BE704959
2749
5828
237
98.8
globlastp


WNU38_H2
wheat|12v3|CA607240
2750
5829
237
98.5
globlastp


WNU38_H3
wheat|12v3|BF484914
2751
5830
237
98.4
globlastp


WNU38_H4
wheat|12v3|DR732969
2752
5830
237
98.4
globlastp


WNU38_H5
brachypodium|12v1|BRADI3G32210T2_P1
2753
5831
237
95
globlastp


WNU38_H6
oat|11v1|CN815630_P1
2754
5832
237
94.6
globlastp


WNU38_H7
rice|11v1|U38167
2755
5833
237
89.9
globlastp


WNU38_H8
sorghum|12v1|SB01G030430
2756
5834
237
89.5
globlastp


WNU38_H9
switchgrass|gb167|DN143112
2757
5835
237
88.9
globlastp


WNU38_H10
foxtail_millet|11v3|PHY7SI034411M_P1
2758
5836
237
88.7
globlastp


WNU38_H11
maize|10v1|AW267461_P1
2759
5837
237
86.2
globlastp


WNU38_H12
rye|12v1|DRR001012.507695
2760
5838
237
85.08
glotblastn


WNU38_H13
barley|12v1|AJ534446_T1
2761
5839
237
81.58
glotblastn


WNU39_H1
rye|12v1|DRR001012.179118
2762
5840
238
98
globlastp


WNU39_H2
rye|12v1|BQ160098
2763
5841
238
96.97
glotblastn


WNU39_H3
wheat|12v3|AL826350
2764
5842
238
96.8
globlastp


WNU39_H4
brachypodium|12v1|BRADI1G01140_P1
2765
5843
238
94.2
globlastp


WNU39_H5
barley|12v1|BU988855_P1
2766
5844
238
93.8
globlastp


WNU39_H6
brachypodium|12v1|BRADI1G01200_P1
2767
5845
238
93.7
globlastp


WNU39_H7
wheat|12v3|CA688079
2768
5846
238
93.4
globlastp


WNU39_H8
wheat|12v3|CN011782
2769
5847
238
91.6
globlastp


WNU39_H9
rye|12v1|DRR001012.265039
2770
5848
238
90.91
glotblastn


WNU39_H10
wheat|12v3|SRR073322X113490D1
2771
5849
238
90.8
globlastp


WNU39_H11
maize|10v1|AI612324_P1
2772
5850
238
90.5
globlastp


WNU39_H12
rice|11v1|BI798293
2773
5851
238
90.1
globlastp


WNU39_H13
sorghum|12v1|SB01G000850
2774
5852
238
89.8
globlastp


WNU39_H24
switchgrass|12v1|FE639701_P1
2775
5853
238
89.1
globlastp


WNU39_H14
foxtail_millet|11v3|PHY7SI034495M_P1
2776
5854
238
88.9
globlastp


WNU39_H25
switchgrass|12v1|FL833868_P1
2777
5855
238
88.8
globlastp


WNU39_H26
switchgrass|12v1|FL719668_P1
2778
5856
238
88.5
globlastp


WNU39_H15
millet|10v1|EVO454PM002688_P1
2779
5857
238
88.3
globlastp


WNU39_H16
maize|10v1|AI947725_P1
2780
5858
238
88.2
globlastp


WNU39_H17
switchgrass|gb167|FE639701
2781
5859
238
88.2
glotblastn


WNU39_H18
oil_palm|11v1|EL683203_P1
2782
5860
238
84.9
globlastp


WNU39_H19
wheat|12v3|SRR400820X1035870D1
2783
5861
238
83.98
glotblastn


WNU39_H20
rye|12v1|BE438514
2784
5862
238
83.2
globlastp


WNU39_H21
banana|12v1|BBS2636T3_P1
2785
5863
238
82.2
globlastp


WNU39_H22
phalaenopsis|11v1|SRR125771.1017165_T1
2786
5864
238
81.29
glotblastn


WNU39_H23
grape|11v1|GSVIVT01023351001_P1
2787
5865
238
80.6
globlastp


WNU40_H1
rye|12v1|DRR001012.93341
2788
5866
239
91.1
globlastp


WNU40_H2
rye|12v1|DRR001012.297746
2789
5867
239
90.5
globlastp


WNU41_H2
wheat|12v3|BQ804367
2790
5868
240
89.6
globlastp


WNU42_H1
rye|12v1|DRR001012.112433
2791
5869
241
96.1
globlastp


WNU42_H2
wheat|12v3|CA728904
2792
5870
241
96.1
globlastp


WNU42_H3
wheat|12v3|BE400749
2793
5871
241
93.1
globlastp


WNU42_H4
brachypodium|12v1|BRADI5G13120_P1
2794
5872
241
88.1
globlastp


WNU42_H5
rice|11v1|CA765423
2795
5873
241
82.8
globlastp


WNU43_H1
wheat|12v3|BQ744365
2796
5874
242
87.6
globlastp


WNU43_H2
rye|12v1|GFXEU194240X1
2797
5875
242
85.78
glotblastn


WNU43_H3
rice|11v1|AY114110
2798
5876
242
82.2
globlastp


WNU44_H1
rye|12v1|DRR001012.32802
2799
5877
243
94
globlastp


WNU44_H2
wheat|12v3|BF483666
2800
5878
243
94
globlastp


WNU46_H1
leymus|gb166|EG400893_P1
2801
5879
245
92.8
globlastp


WNU46_H2
wheat|12v3|BE446543
2802
5880
245
92.2
globlastp


WNU46_H3
wheat|12v3|BE404251
2803
5881
245
91.6
globlastp


WNU46_H4
rye|12v1|BE495560
2804
5882
245
91.2
globlastp


WNU46_H5
rye|12v1|DRR001012.276818
2805
5883
245
90.9
globlastp


WNU46_H6
barley|12v1|BG366599_P1
2806
5884
245
89.6
globlastp


WNU46_H7
rice|11v1|BI806398
2807
5885
245
85.9
globlastp


WNU46_H8
maize|10v1|AW055419_P1
2808
5886
245
82.9
globlastp


WNU46_H9
maize|10v1|AI964620_P1
2809
5887
245
82.2
globlastp


WNU46_H10
sorghum|12v1|SB02G000400
2810
5888
245
82.2
globlastp


WNU46_H11
sugarcane|10v1|CA090267
2811
5889
245
82.2
globlastp


WNU46_H15
switchgrass|12v1|DN144132_P1
2812
5890
245
81.7
globlastp


WNU46_H12
foxtail_millet|11v3|EC612167_P1
2813
5891
245
81.7
globlastp


WNU46_H13
switchgrass|gb167|DN144132
2814
5890
245
81.7
globlastp


WNU46_H14
switchgrass|gb167|FE599308
2815
5892
245
80.7
globlastp


WNU47_H1
barley|12v1|AV833350_P1
2816
5893
246
84.6
globlastp


WNU47_H2
rye|12v1|DRR001012.111891
2817
5894
246
83.7
globlastp


WNU47_H3
wheat|12v3|BE516917
2818
5895
246
83.7
globlastp


WNU51_H1
wheat|12v3|BQ903841
2819
5896
249
86.7
globlastp


WNU51_H5
switchgrass|12v1|FE619109_P1
2820
5897
249
82.7
globlastp


WNU51_H2
foxtail_millet|11v3|PHY7SI000637M_P1
2821
5898
249
82.3
globlastp


WNU51_H3
rice|11v1|AA753089
2822
5899
249
81.9
globlastp


WNU51_H4
sorghum|12v1|SB03G029870
2823
5900
249
81.9
globlastp


WNU53_H2
switchgrass|12v1|FE620835_T1
2824
5901
251
87.04
glotblastn


WNU53_H1
sorghum|12v1|SB02G030160
2825
5902
251
80.64
glotblastn


WNU54_H1
switchgrass|gb167|DN143732
2826
5903
252
89.9
globlastp


WNU54_H5
switchgrass|12v1|DN143732_P1
2827
5904
252
89.6
globlastp


WNU54_H2
switchgrass|gb167|FE621086
2828
5905
252
87.9
globlastp


WNU54_H3
millet|10v1|EVO454PM077732_P1
2829
5906
252
81.3
globlastp


WNU54_H4
sugarcane|10v1|BQ535885
2830
5907
252
80.2
globlastp


WNU55_H1
cenchrus|gb166|BM084440_P1
2831
5908
253
97.6
globlastp


WNU55_H17
switchgrass|12v1|FE626008_P1
2832
5909
253
92.4
globlastp


WNU55_H18
switchgrass|12v1|FL733655_P1
2833
5910
253
91.7
globlastp


WNU55_H2
switchgrass|gb167|FE626008
2834
5911
253
91.7
globlastp


WNU55_H3
millet|10v1|EVO454PM020798_P1
2835
5912
253
91.4
globlastp


WNU55_H4
maize|10v1|AW052935_P1
2836
5913
253
89.3
globlastp


WNU55_H5
sugarcane|10v1|AI105581
2837
5914
253
88.7
globlastp


WNU55_H6
oat|11v1|CN819661_P1
2838
5915
253
87.9
globlastp


WNU55_H7
wheat|12v3|BE398870
2839
5916
253
87.6
globlastp


WNU55_H8
rye|12v1|DRR001012.112998
2840
5917
253
86.9
globlastp


WNU55_H9
sorghum|12v1|SB03G045400
2841
5918
253
86.9
globlastp


WNU55_H10
fescue|gb161|DT674680_P1
2842
5919
253
86.6
globlastp


WNU55_H11
leymus|gb166|EG384989_P1
2843
5920
253
86.6
globlastp


WNU55_H12
pseudoroegneria|gb167|FF349242
2844
5921
253
86.6
globlastp


WNU55_H13
brachypodium|12v1|BRADI2G60400_P1
2845
5922
253
86.3
globlastp


WNU55_H14
rye|12v1|BQ160176
2846
5923
253
85.5
globlastp


WNU55_H15
rye|12v1|DRR001012.136908
2847
5924
253
83.6
globlastp


WNU55_H16
rye|12v1|DRR001012.10881
2848
5925
253
82.1
globlastp


WNU56_H1
millet|10v1|EVO454PM009410_P1
2849
5926
254
97.5
globlastp


WNU56_H19
switchgrass|12v1|FL822962_P1
2850
5927
254
95.4
globlastp


WNU56_H2
sorghum|12v1|SB06G000370
2851
5928
254
92.3
globlastp


WNU56_H3
maize|10v1|AI615164_P1
2852
5929
254
89.1
globlastp


WNU56_H4
maize|10v1|AW054516_P1
2853
5930
254
88.4
globlastp


WNU56_H5
wheat|12v3|BE414924
2854
5931
254
85.9
globlastp


WNU56_H6
barley|12v1|BE420715_P1
2855
5932
254
85.6
globlastp


WNU56_H7
brachypodium|12v1|BRADI5G02400T3_P1
2856
5933
254
85.6
globlastp


WNU56_H8
rye|12v1|DRR001012.14123
2857
5934
254
84.2
globlastp


WNU56_H9
rye|12v1|DRR001013.248475
2858
5935
254
84.2
globlastp


WNU56_H10
wheat|12v3|BE418367
2859
5936
254
84.2
globlastp


WNU56_H11
wheat|12v3|BE400635
2860
5937
254
83.8
globlastp


WNU56_H12
rye|12v1|DRR001012.126292
2861
5938
254
83.5
globlastp


WNU56_H13
rye|12v1|DRR001012.131238
2862
5939
254
83.5
globlastp


WNU56_H14
rice|11v1|BI798616
2863
5940
254
82.9
globlastp


WNU56_H15
switchgrass|gb167|FE610544
2864
5941
254
82
globlastp


WNU56_H16
wheat|12v3|CA678232
2865
5942
254
82
globlastp


WNU56_H20
switchgrass|12v1|FE600029_T1
2866
5943
254
80.7
glotblastn


WNU56_H17
switchgrass|gb167|FE600029
2867
5943
254
80.7
glotblastn


WNU56_H18
sugarcane|10v1|BU102873
2868
5944
254
80.3
globlastp


WNU57_H1
millet|10v1|EVO454PM018435_P1
2869
5945
255
96.2
globlastp


WNU57_H13
switchgrass|12v1|DN141209_P1
2870
5946
255
95.1
globlastp


WNU57_H2
switchgrass|gb167|DN151901
2871
5947
255
95.1
globlastp


WNU57_H3
maize|10v1|AI600883_P1
2872
5948
255
92
globlastp


WNU57_H4
maize|10v1|AI855375_P1
2873
5949
255
91.1
globlastp


WNU57_H5
sorghum|12v1|SB04G006620
2874
5950
255
90.7
globlastp


WNU57_H6
sugarcane|10v1|BQ533748
2875
5951
255
90.5
globlastp


WNU57_H7
rice|11v1|BI305818
2876
5952
255
88.1
globlastp


WNU57_H8
barley|12v1|BE437885_P1
2877
5953
255
86.9
globlastp


WNU57_H9
rye|12v1|BE493839
2878
5954
255
86.9
globlastp


WNU57_H10
wheat|12v3|BE403012
2879
5955
255
86.9
globlastp


WNU57_H11
oat|11v1|CN820052_P1
2880
5956
255
86.4
globlastp


WNU57_H12
brachypodium|12v1|BRADI3G07130_P1
2881
5957
255
85.9
globlastp


WNU58_H1
millet|10v1|PMSLX0007469D1_P1
2882
5958
256
93.1
globlastp


WNU58_H3
switchgrass|12v1|FL798481_P1
2883
5959
256
91.9
globlastp


WNU58_H2
switchgrass|gb167|FL798481
2884
5960
256
91.5
globlastp


WNU60_H3
switchgrass|12v1|FE618777_P1
2885
5961
257
95.1
globlastp


WNU60_H4
switchgrass|12v1|FL848693_P1
2886
5962
257
93.9
globlastp


WNU60_H1
sorghum|12v1|SB03G035380
2887
5963
257
91.1
globlastp


WNU60_H2
maize|10v1|CD947094_P1
2888
5964
257
89.5
globlastp


WNU65_H4
switchgrass|12v1|DN151191_T1
2889
5965
260
94.16
glotblastn


WNU65_H1
maize|10v1|EC882969_P1
2890
5966
260
90.6
globlastp


WNU65_H2
rice|11v1|AU101102
2891
5967
260
86.1
globlastp


WNU65_H3
sorghum|12v1|SB06G019660
2892
5968
260
82
globlastp


WNU65_H5
switchgrass|12v1|FE648952_P1
2893
5969
260
81.4
globlastp


WNU66_H1
millet|10v1|EVO454PM003908_P1
2894
5970
261
97.4
globlastp


WNU66_H2
foxtail_millet|11v3|PHY7SI034876M_P1
2895
5971
261
96.7
globlastp


WNU66_H14
switchgrass|12v1|FE624920_P1
2896
5972
261
95
globlastp


WNU66_H15
switchgrass|12v1|FL743094_P1
2897
5973
261
94.8
globlastp


WNU66_H3
sorghum|12v1|SB08G004950
2898
5974
261
92.8
globlastp


WNU66_H4
maize|10v1|AI667773_P1
2899
5975
261
92.4
globlastp


WNU66_H5
rice|11v1|D40964
2900
—
261
90.31
glotblastn


WNU66_H6
brachypodium|12v1|BRADI2G31260_T1
2901
5976
261
88.24
glotblastn


WNU66_H7
barley|12v1|BI953051_P1
2902
5977
261
87.7
globlastp


WNU66_H8
brachypodium|12v1|BRADI1G76820_P1
2903
5978
261
87.7
globlastp


WNU66_H9
rye|12v1|DRR001012.101674
2904
5979
261
87.02
glotblastn


WNU66_H10
wheat|12v3|BE515409
2905
5980
261
86.5
globlastp


WNU66_H11
wheat|12v3|BF484306
2906
5981
261
86
globlastp


WNU66_H12
sugarcane|10v1|CA084686
2907
5982
261
83.2
globlastp


WNU66_H13
wheat|12v3|BI750854
2908
5983
261
82
globlastp


WNU67_H11
switchgrass|12v1|FL749950_P1
2909
5984
262
98.8
globlastp


WNU67_H1
switchgrass|gb167|DN141403
2910
5985
262
98.2
globlastp


WNU67_H12
switchgrass|12v1|DN141403_P1
2911
5986
262
97.8
globlastp


WNU67_H2
sorghum|12v1|SB04G036240
2912
5987
262
95.8
globlastp


WNU67_H3
sugarcane|10v1|BU102542
2913
5988
262
95.2
globlastp


WNU67_H4
maize|10v1|AW562559_P1
2914
5989
262
94.6
globlastp


WNU67_H5
millet|10v1|EVO454PM095165_T1
2915
5990
262
93.31
glotblastn


WNU67_H6
rice|11v1|BI306271
2916
5991
262
93.3
globlastp


WNU67_H7
brachypodium|12v1|BRADI3G54387_P1
2917
5992
262
91.5
globlastp


WNU67_H8
barley|12v1|BF621231_P1
2918
5993
262
89.7
globlastp


WNU67_H9
rye|12v1|DRR001012.125551
2919
5994
262
88.93
glotblastn


WNU67_H10
wheat|12v3|BE424759
2920
5995
262
85.1
globlastp


WNU68_H5
switchgrass|12v1|FE605833_P1
2921
5996
263
87.9
globlastp


WNU68_H1
switchgrass|gb167|FE605833
2922
5997
263
87.8
globlastp


WNU68_H2
rice|11v1|AU033236
2923
5998
263
83.4
globlastp


WNU68_H3
millet|10v1|PMSLX0015205D1_P1
2924
5999
263
83.2
globlastp


WNU68_H4
sorghum|12v1|SB04G027630
2925
6000
263
82.6
globlastp


WNU69_H1
brachypodium|12v1|BRADI2G33487_P1
2926
6001
264
83.1
globlastp


WNU69_H2
rice|11v1|AA753248
2927
6002
264
83.1
globlastp


WNU69_H3
sorghum|12v1|SB09G005780
2928
6003
264
80.8
globlastp


WNU70_H1
switchgrass|12v1|FL702936_P1
2929
6004
265
89.1
globlastp


WNU70_H2
switchgrass|12v1|FL714970_P1
2930
6005
265
84.9
globlastp


WNU71_H26
switchgrass|12v1|FL855287_P1
2931
6006
266
97.1
globlastp


WNU71_H1
switchgrass|gb167|FL745977
2932
6007
266
96.36
glotblastn


WNU71_H2
sorghum|12v1|SB02G033430
2933
6008
266
95.6
globlastp


WNU71_H27
switchgrass|12v1|FL745977_P1
2934
6009
266
94.9
globlastp


WNU71_H3
sugarcane|10v1|CA107770
2935
6010
266
94.9
globlastp


WNU71_H4
pseudoroegneria|gb167|FF34574
2936
6011
266
93
globlastp


WNU71_H5
rye|12v1|DRR001012.120492
2937
6012
266
92.5
globlastp


WNU71_H6
rye|12v1|BE494187
2938
6013
266
91.8
globlastp


WNU71_H7
rye|12v1|DRR001012.301737
2939
6014
266
91.8
globlastp


WNU71_H8
millet|10v1|EVO454PM016198_P1
2940
6015
266
91.7
globlastp


WNU71_H9
barley|12v1|BE413186_P1
2941
6016
266
91.5
globlastp


WNU71_H10
wheat|12v3|BE414569
2942
6017
266
91.5
globlastp


WNU71_H11
leymus|gb166|EG385262_P1
2943
6018
266
91.3
globlastp


WNU71_H12
fescue|gb161|DT674288_P1
2944
6019
266
90.6
globlastp


WNU71_H13
rice|11v1|BI797791
2945
6020
266
90.3
globlastp


WNU71_H14
brachypodium|12v1|BRADI1G27460_P1
2946
6021
266
89.9
globlastp


WNU71_H15
oat|11v1|AA231752_P1
2947
6022
266
89.6
globlastp


WNU71_H16
banana|12v1|FF557606_T1
2948
6023
266
81.19
glotblastn


WNU71_H17
hornbeam|12v1|SRR364455.110930_T1
2949
6024
266
81.07
glotblastn


WNU71_H18
maize|10v1|AI920419_T1
2950
6025
266
80.83
glotblastn


WNU71_H19
cacao|10v1|CU471506_P1
2951
6026
266
80.5
globlastp


WNU71_H20
cotton|11v1|CO089937_T1
2952
6027
266
80.34
glotblastn


WNU71_H21
ipomoea_nil|10v1|BJ565253_T1
2953
6028
266
80.34
glotblastn


WNU71_H22
banana|12v1|BBS184T3_P1
2954
6029
266
80.1
globlastp


WNU71_H23
cotton|11v1|BE055094_T1
2955
6030
266
80.1
glotblastn


WNU71_H24
flaveria|11v1|SRR149229.123410_T1
2956
6031
266
80.1
glotblastn


WNU71_H25
strawberry|11v1|GT151387
2957
6032
266
80.1
globlastp


WNU72_H1
millet|10v1|EVO454PM004850_P1
2958
6033
267
94.3
globlastp


WNU72_H14
switchgrass|12v1|FE609299_P1
2959
6034
267
93.3
globlastp


WNU72_H2
switchgrass|gb167|FE609299
2960
6035
267
93.1
globlastp


WNU72_H3
maize|10v1|AI943960_P1
2961
6036
267
90.1
globlastp


WNU72_H4
sorghum|12v1|SB01G000600
2962
6037
267
89.9
globlastp


WNU72_H5
maize|10v1|W49430_P1
2963
6038
267
88.9
globlastp


WNU72_H6
brachypodium|12v1|BRADI1G00990_P1
2964
6039
267
85.1
globlastp


WNU72_H7
rice|11v1|BE229715
2965
6040
267
83.7
globlastp


WNU72_H8
wheat|12v3|BE498573
2966
6041
267
83.2
globlastp


WNU72_H9
wheat|12v3|BE591785
2967
6042
267
83
globlastp


WNU72_H10
rye|12v1|BE587577
2968
6043
267
82.97
glotblastn


WNU72_H11
rye|12v1|BF145793
2969
6044
267
82.8
globlastp


WNU72_H12
barley|12v1|BF625365_P1
2970
6045
267
82.6
globlastp


WNU72_H13
wheat|12v3|SRR073321X116449D1
2971
6046
267
81.2
globlastp


WNU73_H1
millet|10v1|EB411032_P1
2972
6047
268
92.2
globlastp


WNU73_H2
switchgrass|gb167|DN143721
2973
6048
268
91.2
globlastp


WNU73_H3
sorghum|12v1|SB01G038500
2974
6049
268
89.4
globlastp


WNU73_H4
maize|10v1|AI943624_P1
2975
6050
268
88.1
globlastp


WNU73_H9
switchgrass|12v1|FE628623_P1
2976
6051
268
83
globlastp


WNU73_H5
rice|11v1|BE230020
2977
6052
268
81.8
globlastp


WNU73_H10
switchgrass|12v1|DN143721_P1
2978
6053
268
81.6
globlastp


WNU73_H6
brachypodium|12v1|BRADI1G65580_P1
2979
6054
268
80.4
globlastp


WNU73_H7
barley|12v1|BE216681_P1
2980
6055
268
80.2
globlastp


WNU73_H8
wheat|12v3|BF478638
2981
6056
268
80
globlastp


WNU74_H11
switchgrass|12v1|FE597705_P1
2982
6057
269
96.8
globlastp


WNU74_H1
switchgrass|gb167|DN143125
2983
6058
269
96.8
globlastp


WNU74_H2
sorghum|12v1|SB01G026590
2984
6059
269
94.1
globlastp


WNU74_H3
maize|10v1|AI941583_P1
2985
6060
269
92.9
globlastp


WNU74_H4
rice|11v1|CA998124
2986
6061
269
89.2
globlastp


WNU74_H5
brachypodium|12v1|BRADI3G21180_P1
2987
6062
269
85.9
globlastp


WNU74_H6
rye|12v1|BE587915
2988
6063
269
84.1
globlastp


WNU74_H7
sugarcane|10v1|CA066393XX2
2989
6064
269
84.1
globlastp


WNU74_H8
wheat|12v3|BQ161332
2990
6065
269
84.1
globlastp


WNU74_H9
wheat|12v3|BE443378
2991
6066
269
83.5
globlastp


WNU74_H10
barley|12v1|AV836614_P1
2992
6067
269
82.6
globlastp


WNU75_H1
sorghum|12v1|SB06G030330
2993
6068
270
97.1
globlastp


WNU75_H2
sugarcane|10v1|CA087831
2994
6069
270
96.3
globlastp


WNU75_H3
maize|10v1|T18425_P1
2995
6070
270
93
globlastp


WNU75_H4
switchgrass|gb167|FL741557
2996
6071
270
87.3
globlastp


WNU75_H8
switchgrass|12v1|FE603022_P1
2997
6072
270
86.5
globlastp


WNU75_H5
foxtail_millet|11v3|PHY7SI010909M_P1
2998
6073
270
86.5
globlastp


WNU75_H6
switchgrass|gb167|FE603022
2999
6074
270
85.7
globlastp


WNU75_H7
millet|10v1|EVO454PM000097_P1
3000
6075
270
85.3
globlastp


WNU76_H1
sorghum|12v1|SB02G042930
3001
6076
271
93.1
globlastp


WNU76_H2
foxtail_millet|11v3|PHY7SI02882M_P1
3002
6077
271
90
globlastp


WNU76_H3
switchgrass|gb167|FE629549
3003
6078
271
89.45
glotblastn


WNU76_H4
rice|11v1|BI798105
3004
—
271
84.05
glotblastn


WNU76_H5
barley|12v1|BI952099_P1
3005
6079
271
81.4
globlastp


WNU76_H6
wheat|12v3|BG604709
3006
6080
271
81.4
globlastp


WNU76_H7
rye|12v1|BE705594
3007
6081
271
81
globlastp


WNU77_H1
sugarcane|10v1|CA082006
3008
6082
272
86
globlastp


WNU77_H2
switchgrass|gb167|DN145582
3009
6083
272
81
globlastp


WNU77_H3
switchgrass|12v1|DN143279_P1
3010
6084
272
80.8
globlastp


WNU82_H3
maize|10v1|EY952669_P1
3011
6085
276
83.9
globlastp


WNU85_H1
foxtail_millet|11v3|EC613694_P1
3012
6086
278
86.4
globlastp


WNU85_H2
leymus|gb166|EG386550_P1
3013
6087
278
84.1
globlastp


WNU85_H3
maize|10v1|BI273418_P1
3014
6088
278
83.7
globlastp


WNU85_H4
brachypodium|12v1|BRADI2G07510_P1
3015
6089
278
83.6
globlastp


WNU85_H5
sorghum|12v1|SB03G001140
3016
6090
278
83.6
globlastp


WNU85_H6
maize|10v1|AI622003_P1
3017
6091
278
83
globlastp


WNU85_H7
sugarcane|10v1|CA077199
3018
6092
278
82.9
globlastp


WNU85_H8
wheat|12v3|BE407080
3019
6093
278
82.2
globlastp


WNU85_H9
pseudoroegneria|gb167|FF346440
3020
6094
278
81.5
globlastp


WNU91_H1
sugarcane|10v1|BQ529697
3021
6095
281
95.1
globlastp


WNU91_H2
maize|10v1|AI714451_P1
3022
6096
281
91.9
globlastp


WNU91_H3
cenchrus|gb166|EB659537_P1
3023
6097
281
87
globlastp


WNU91_H4
foxtail_millet|11v3|PHY7SI036279M_P1
3024
6098
281
86.5
globlastp


WNU91_H5
millet|10v1|EVO454PM061725_P1
3025
6099
281
86.5
globlastp


WNU91_H6
switchgrass|gb167|FL718671
3026
6100
281
86.5
globlastp


WNU91_H7
switchgrass|gb167|DN146028
3027
6101
281
86.2
globlastp


WNU91_H8
maize|10v1|BG841044_P1
3028
6102
281
85.6
globlastp


WNU91_H9
switchgrass|12v1|DN146028_P1
3029
6103
281
85.4
globlastp


WNU92_H1
sugarcane|10v1|CA115395
3030
6104
282
98.7
globlastp


WNU92_H2
maize|10v1|BG842702_P1
3031
6105
282
94.8
globlastp


WNU92_H3
foxtail_millet|11v3|PHY7SI036735M_P1
3032
6106
282
91.3
globlastp


WNU92_H11
switchgrass|12v1|FL787392_P1
3033
6107
282
90.6
globlastp


WNU92_H4
switchgrass|gb167|FL787392
3034
6108
282
90.6
globlastp


WNU96_H17
fescue|gb161|DT685989_P1
3065
6135
285
89.7
globlastp


WNU96_H18
oat|11v1|GO586704_P1
3066
6135
285
89.7
globlastp


WNU96_H19
oat|11v1|GO586971_P1
3067
6135
285
89.7
globlastp


WNU96_H20
oat|11v1|GR342940_P1
3068
6135
285
89.7
globlastp


WNU96_H21
oat|11v1|GR356048_P1
3069
6135
285
89.7
globlastp


WNU96_H22
rice|11v1|BE039823
3070
6136
285
89.1
globlastp


WNU96_H23
barley|12v1|BF625537_P1
3071
6137
285
89
globlastp


WNU96_H24
oat|11v1|GO588962_P1
3072
6138
285
88.5
globlastp


WNU96_H25
cynodon|10v1|BQ825915_T1
3073
6139
285
88.44
glotblastn


WNU96_H26
cenchrus|gb166|EB658948_P1
3074
6140
285
88.4
globlastp


WNU96_H27
rye|12v1|DRR001012.102215
3075
6141
285
88.4
globlastp


WNU96_H28
rye|12v1|DRR001012.24513
3076
6142
285
88.4
globlastp


WNU96_H29
pseudoroegneria|gb167|FF348077
3077
6143
285
88.36
glotblastn


WNU96_H30
wheat|12v3|BE419409
3078
6144
285
87.7
globlastp


WNU96_H31
lolium|10v1|AU249100_P1
3079
6145
285
87.2
globlastp


WNU96_H32
switchgrass|gb167|FE628032
3080
6146
285
87.07
glotblastn


WNU96_H33
fescue|gb161|DT694422_P1
3081
6147
285
86.5
globlastp


WNU96_H383
switchgrass|12v1|SRR187765.118162_P1
3082
6148
285
86.4
globlastp


WNU96_H34
rice|11v1|AF074733
3083
6149
285
86.4
globlastp


WNU96_H35
rice|11v1|AU101070
3084
6150
285
86.39
glotblastn


WNU96_H36
catharanthus|11v1|EG557678XX1_P1
3085
6151
285
85.7
globlastp


WNU96_H37
chelidonium|11v1|SRR084752X100509_P1
3086
6152
285
85.7
globlastp


WNU96_H38
periwinkle|gb164|EG557678_P1
3087
6151
285
85.7
globlastp


WNU96_H39
lovegrass|gb167|EH195517_T1
3088
6153
285
85.62
glotblastn


WNU96_H40
wheat|12v3|CA485730
3089
6154
285
85.6
globlastp


WNU96_H41
oil_palm|11v1|EL682473_P1
3090
6155
285
85.2
globlastp


WNU96_H42
phalaenopsis|11v1|CB032680_P1
3091
6156
285
85.2
globlastp


WNU96_H43
artemisia|10v1|EY032469_P1
3092
6157
285
85
globlastp


WNU96_H44
artemisia|10v1|SRR019254S0089735_P1
3093
6157
285
85
globlastp


WNU96_H45
eschscholzia|11v1|CD481334XX1_P1
3094
6158
285
85
globlastp


WNU96_H46
eschscholzia|11v1|SRR014116.106420_P1
3095
6158
285
85
globlastp


WNU96_H47
flaveria|11v1|SRR149229.106105_P1
3096
6159
285
85
globlastp


WNU96_H48
lettuce|12v1|DW056578_P1
3097
6160
285
85
globlastp


WNU96_H49
plantago|11v2|SRR066373X112538_P1
3098
6161
285
84.9
globlastp


WNU96_H50
banana|12v1|ES433157_P1
3099
6162
285
84.6
globlastp


WNU96_H51
oil_palm|11v1|EL682536_P1
3100
6163
285
84.6
globlastp


WNU96_H52
amorphophallus|11v2|SRR089351X111826_P1
3101
6164
285
84.5
globlastp


WNU96_H53
basilicum|10v1|DY331064_P1
3102
6165
285
84.4
globlastp


WNU96_H54
cirsium|11v1|SRR346952.143114_P1
3103
6166
285
84.4
globlastp


WNU96_H55
cirsium|11v1|SRR349641.671786_P1
3104
6167
285
84.4
globlastp


WNU96_H56
eschscholzia|11v1|CK746606_P1
3105
6168
285
84.4
globlastp


WNU96_H57
eschscholzia|11v1|SRR014116.121035_P1
3106
6169
285
84.4
globlastp


WNU96_H58
eucalyptus|11v2|CU399079_P1
3107
6170
285
84.4
globlastp


WNU96_H59
fagopyrum|11v1|SRR063689X103613_P1
3108
6171
285
84.4
globlastp


WNU96_H60
fagopyrum|11v1|SRR063703X112774XX1_P1
3109
6172
285
84.4
globlastp


WNU96_H61
flaveria|11v1|SRR149229.130605_P1
3110
6173
285
84.4
globlastp


WNU96_H62
flaveria|11v1|SRR149229.192862_P1
3111
6174
285
84.4
globlastp


WNU96_H63
flaveria|11v1|SRR149232.10738_P1
3112
6175
285
84.4
globlastp


WNU96_H64
flaveria|11v1|SRR149232.178235_P1
3113
6176
285
84.4
globlastp


WNU96_H65
flaveria|11v1|SRR149241.111155_P1
3114
6175
285
84.4
globlastp


WNU96_H66
gerbera|09v1|AJ750765_P1
3115
6177
285
84.4
globlastp


WNU96_H67
grape|11v1|GSVIVT01032405001_P1
3116
6178
285
84.4
globlastp


WNU96_H68
poplar|10v1|BI131568
3117
6179
285
84.4
globlastp


WNU96_H68
poplar|13v1|BI131568_P1
3118
6179
285
84.4
globlastp


WNU96_H69
poplar|10v1|BU824189
3119
6180
285
84.4
globlastp


WNU96_H69
poplar|13v1|BU824189_P1
3120
6180
285
84.4
globlastp


WNU96_H70
poppy|11v1|SRR030259.101588_P1
3121
6181
285
84.4
globlastp


WNU96_H71
utricularia|11v1|SRR094438.113490
3122
6182
285
84.35
glotblastn


WNU96_H384
prunus_mume|13v1|CB820134_P1
3123
6183
285
84
globlastp


WNU96_H72
prunus|10v1|CB820134
3124
6184
285
84
globlastp


WNU96_H73
banana|12v1|ES433372_P1
3125
6185
285
83.9
globlastp


WNU96_H74
banana|12v1|ES437435_P1
3126
6186
285
83.9
globlastp


WNU96_H75
banana|12v1|FL664940_P1
3127
6187
285
83.9
globlastp


WNU96_H76
oil_palm|11v1|EY403792_P1
3128
6188
285
83.9
globlastp


WNU96_H385
castorbean|12v1|EV521260_P1
3129
6189
285
83.7
globlastp


WNU96_H77
amsonia|11v1|SRR098688X103253_P1
3130
6190
285
83.7
globlastp


WNU96_H78
arnica|11v1|SRR099034X100196_P1
3131
6191
285
83.7
globlastp


WNU96_H79
arnica|11v1|SRR099034X109795_P1
3132
6192
285
83.7
globlastp


WNU96_H80
cannabis|12v1|EW701714_P1
3133
6193
285
83.7
globlastp


WNU96_H81
castorbean|11v1|EV521260
3134
6189
285
83.7
globlastp


WNU96_H82
catharanthus|11v1|EG557805XX1_P1
3135
6194
285
83.7
globlastp


WNU96_H83
cleome_gynandra|10v1|SRR015532S0032808_P1
3136
6195
285
83.7
globlastp


WNU96_H84
cucurbita|11v1|SRR091276X130567_P1
3137
6196
285
83.7
globlastp


WNU96_H85
euphorbia|11v1|DV112950_P1
3138
6197
285
83.7
globlastp


WNU96_H86
flaveria|11v1|SRR149232.108657_P1
3139
6198
285
83.7
globlastp


WNU96_H87
flaveria|11v1|SRR149241.101479_P1
3140
6199
285
83.7
globlastp


WNU96_H88
flaveria|11v1|SRR149241.116281_P1
3141
6200
285
83.7
globlastp


WNU96_H89
flaveria|11v1|SRR149241.163891_P1
3142
6200
285
83.7
globlastp


WNU96_H90
hornbeam|12v1|SRR364455.10182_P1
3143
6201
285
83.7
globlastp


WNU96_H91
phyla|11v2|SRR099035X102200_P1
3144
6202
285
83.7
globlastp


WNU96_H92
plantago|11v2|SRR066373X103518_P1
3145
6203
285
83.7
globlastp


WNU96_H93
poplar|10v1|AI162838
3146
6204
285
83.7
globlastp


WNU96_H93
poplar|13v1|AI162838_P1
3147
6204
285
83.7
globlastp


WNU96_H94
poppy|11v1|FE964351_P1
3148
6205
285
83.7
globlastp


WNU96_H95
sarracenia|11v1|SRR192669.161055
3149
6206
285
83.7
globlastp


WNU96_H96
sunflower|12v1|CD848611XX1
3150
6207
285
83.7
globlastp


WNU96_H97
sunflower|12v1|EL432812
3151
6207
285
83.7
globlastp


WNU96_H98
tragopogon|10v1|SRR020205S0003341
3152
6208
285
83.7
globlastp


WNU96_H99
utricularia|11v1|SRR094438.101639
3153
6209
285
83.7
globlastp


WNU96_H100
pseudotsuga|10v1|SRR065119S0009880
3154
6210
285
83.6
globlastp


WNU96_H101
rye|12v1|DRR001012.3832
3155
6211
285
83.6
globlastp


WNU96_H102
cedrus|11v1|SRR065007X100354_T1
3156
6212
285
83.56
glotblastn


WNU96_H103
apple|11v1|CN489950_P1
3157
6213
285
83.2
globlastp


WNU96_H104
pepper|12v1|SRR203275X41866D1_P1
3158
6213
285
83.2
globlastp


WNU96_H386
bean|12v2|CA897774_P1
3159
6214
285
83
globlastp


WNU96_H387
monkeyflower|12v1|DV206951_P1
3160
6215
285
83
globlastp


WNU96_H388
monkeyflower|12v1|DV211975_P1
3161
6216
285
83
globlastp


WNU96_H389
prunus_mume|13v1|BU039430_P1
3162
6217
285
83
globlastp


WNU96_H105
ambrosia|11v1|FG943037XX1_P1
3163
6218
285
83
globlastp


WNU96_H106
ambrosia|11v1|SRR346935.334229_P1
3164
6218
285
83
globlastp


WNU96_H107
ambrosia|11v1|SRR346943.122513XX1_P1
3165
6219
285
83
globlastp


WNU96_H108
aquilegia|10v2|JGIAC006234_P1
3166
6220
285
83
globlastp


WNU96_H109
b_juncea|12v1|E6ANDIZ01A5B9Z_P1
3167
6221
285
83
globlastp


WNU96_H110
b_juncea|12v1|E6ANDIZ01AU7ID_P1
3168
6222
285
83
globlastp


WNU96_H111
b_juncea|12v1|E6ANDIZ01C4NDD_P1
3169
6223
285
83
globlastp


WNU96_H112
b_oleracea|gb161|DY026186_P1
3170
6224
285
83
globlastp


WNU96_H113
b_rapa|11v1|BG544961_P1
3171
6224
285
83
globlastp


WNU96_H114
b_rapa|11v1|CD812537_P1
3172
6221
285
83
globlastp


WNU96_H115
b_rapa|11v1|CD816901_P1
3173
6225
285
83
globlastp


WNU96_H116
b_rapa|11v1|L33536_P1
3174
6223
285
83
globlastp


WNU96_H118
canola|11v1|CN728700XX1_P1
3175
6223
285
83
globlastp


WNU96_H119
canola|11v1|CN731386XX1_P1
3176
6223
285
83
globlastp


WNU96_H120
canola|11v1|CN731668XX1_P1
3177
6223
285
83
globlastp


WNU96_H121
canola|11v1|CN732454XX1_P1
3178
6224
285
83
globlastp


WNU96_H122
canola|11v1|DW997477_P1
3179
6224
285
83
globlastp


WNU96_H123
chelidonium|11v1|SRR084752X110318_P1
3180
6226
285
83
globlastp


WNU96_H124
cleome_spinosa|10v1|GR934804XX1_P1
3181
6227
285
83
globlastp


WNU96_H125
cleome_spinosa|10v1|SRR015531S0005856_P1
3182
6228
285
83
globlastp


WNU96_H126
cotton|11v1|BE052151_P1
3183
6229
285
83
globlastp


WNU96_H127
cucumber|09v1|CK085637_P1
3184
6230
285
83
globlastp


WNU96_H128
euonymus|11v1|SRR070038X122109_P1
3185
6231
285
83
globlastp


WNU96_H129
euonymus|11v1|SRR070038X188652_P1
3186
6232
285
83
globlastp


WNU96_H130
flaveria|11v1|SRR149232.112624_P1
3187
6233
285
83
globlastp


WNU96_H131
gossypium_raimondii|12v1|BE052151_P1
3188
6229
285
83
globlastp


WNU96_H132
grape|11v1|GSVIVT01007667001_P1
3189
6234
285
83
globlastp


WNU96_H133
kiwi|gb166|FG425898_P1
3190
6235
285
83
globlastp


WNU96_H134
lettuce|12v1|DW044410_P1
3191
6236
285
83
globlastp


WNU96_H135
lettuce|12v1|DW047896_P1
3192
6237
285
83
globlastp


WNU96_H136
monkeyflower|10v1|DV206951
3193
6215
285
83
globlastp


WNU96_H137
monkeyflower|10v1|DV211975
3194
6216
285
83
globlastp


WNU96_H138
parthenium|10v1|GW779132_P1
3195
6238
285
83
globlastp


WNU96_H139
platanus|11v1|SRR096786X10437_P1
3196
6239
285
83
globlastp


WNU96_H140
poplar|10v1|AI164349
3197
6240
285
83
globlastp


WNU96_H140
poplar|13v1|AI164349_P1
3198
6240
285
83
globlastp


WNU96_H141
prunus|10v1|BU039430
3199
6217
285
83
globlastp


WNU96_H142
rose|12v1|SRR397984.100042
3200
6241
285
83
globlastp


WNU96_H143
senecio|gb170|DY661161
3201
6242
285
83
globlastp


WNU96_H144
silene|11v1|SRR096785X100751
3202
6243
285
83
globlastp


WNU96_H145
spurge|gb161|DV112950
3203
6244
285
83
globlastp


WNU96_H146
spurge|gb161|DV113682
3204
6245
285
83
globlastp


WNU96_H147
tragopogon|10v1|SRR020205S0012356
3205
6246
285
83
globlastp


WNU96_H148
tragopogon|10v1|SRR020205S0135148
3206
6247
285
83
globlastp


WNU96_H149
tripterygium|11v1|SRR098677X107685XX1
3207
6248
285
83
globlastp


WNU96_H150
euphorbia|11v1|DV113682XX1_T1
3208
6249
285
82.99
glotblastn


WNU96_H151
flaveria|11v1|SRR149241.184143_T1
3209
6250
285
82.99
glotblastn


WNU96_H152
strawberry|11v1|EX672486
3210
6251
285
82.99
glotblastn


WNU96_H153
cedrus|11v1|SRR065007X133095_P1
3211
6252
285
82.9
globlastp


WNU96_H154
cycas|gb166|CB092905_P1
3212
6253
285
82.9
globlastp


WNU96_H155
spruce|11v1|AF051252
3213
6254
285
82.9
globlastp


WNU96_H156
spruce|11v1|ES252863
3214
6254
285
82.9
globlastp


WNU96_H157
spruce|11v1|ES259552XX2
3215
6254
285
82.9
globlastp


WNU96_H158
spruce|11v1|EX331635XX1
3216
6254
285
82.9
globlastp


WNU96_H159
spruce|11v1|SRR064180X149006
3217
6254
285
82.9
globlastp


WNU96_H160
spruce|11v1|SRR064180X162014
3218
6255
285
82.88
glotblastn


WNU96_H390
zostera|12v1|SRR057351X104422D1_P1
3219
6256
285
82.7
globlastp


WNU96_H161
zostera|10v1|SRR057351S0016869
3220
6256
285
82.7
globlastp


WNU96_H391
zostera|12v1|AM770335_P1
3221
6257
285
82.6
globlastp


WNU96_H162
zostera|10v1|AM770335
3222
6257
285
82.6
globlastp


WNU96_H163
amorphophallus|11v2|SRR089351X101338_P1
3223
6258
285
82.4
globlastp


WNU96_H164
cacao|10v1|CU473578_P1
3224
6259
285
82.4
globlastp


WNU96_H165
canola|11v1|CN726672XX1_T1
3225
6260
285
82.31
glotblastn


WNU96_H166
cirsium|11v1|SRR346952.1008646_T1
3226
6261
285
82.31
glotblastn


WNU96_H167
fagopyrum|11v1|SRR063689X117854_T1
3227
6262
285
82.31
glotblastn


WNU96_H168
thalictrum|11v1|SRR096787X102875
3228
6263
285
82.31
glotblastn


WNU96_H169
thalictrum|11v1|SRR096787X115641
3229
6264
285
82.31
glotblastn


WNU96_H392
castorbean|12v1|T15058_P1
3230
6265
285
82.3
globlastp


WNU96_H393
monkeyflower|12v1|DV206555_P1
3231
6266
285
82.3
globlastp


WNU96_H170
ambrosia|11v1|SRR346935.101575_P1
3232
6267
285
82.3
globlastp


WNU96_H171
ambrosia|11v1|SRR346935.105796_P1
3233
6268
285
82.3
globlastp


WNU96_H172
aquilegia|10v2|JGIAC009870_P1
3234
6269
285
82.3
globlastp


WNU96_H173
b_juncea|12v1|E6ANDIZ01A3634_P1
3235
6270
285
82.3
globlastp


WNU96_H174
b_juncea|12v1|E6ANDIZ01A4ELM_P1
3236
6271
285
82.3
globlastp


WNU96_H175
b_juncea|12v1|EF165000_P1
3237
6272
285
82.3
globlastp


WNU96_H176
b_oleracea|gb161|DY025832_P1
3238
6273
285
82.3
globlastp


WNU96_H177
b_oleracea|gb161|DY026153_P1
3239
6274
285
82.3
globlastp


WNU96_H178
basilicum|10v1|DY337098_P1
3240
6275
285
82.3
globlastp


WNU96_H179
cacao|10v1|EH057746_P1
3241
6276
285
82.3
globlastp


WNU96_H180
canola|11v1|CN725957XX1_P1
3242
6273
285
82.3
globlastp


WNU96_H181
canola|11v1|CN730422_P1
3243
6274
285
82.3
globlastp


WNU96_H182
canola|11v1|CN732102_P1
3244
6277
285
82.3
globlastp


WNU96_H183
cassava|09v1|CK641581_P1
3245
6278
285
82.3
globlastp


WNU96_H185
chestnut|gb170|SRR006295S0003019_P1
3246
6279
285
82.3
globlastp


WNU96_H186
cleome_gynandra|10v1|SRR015532S0002168_P1
3247
6280
285
82.3
globlastp


WNU96_H187
cleome_spinosa|10v1|GR932217XX1_P1
3248
6280
285
82.3
globlastp


WNU96_H188
cotton|11v1|BG443711_P1
3249
6281
285
82.3
globlastp


WNU96_H189
eucalyptus|11v2|SRR001659X129057_P1
3250
6282
285
82.3
globlastp


WNU96_H190
fagopyrum|11v1|SRR063689X5808_P1
3251
6283
285
82.3
globlastp


WNU96_H191
gossypium_raimondii|12v1|BG443711_P1
3252
6281
285
82.3
globlastp


WNU96_H192
humulus|11v1|EX519727XX1_P1
3253
6284
285
82.3
globlastp


WNU96_H193
humulus|11v1|EX519727XX2_P1
3254
6284
285
82.3
globlastp


WNU96_H194
ipomoea_nil|10v1|CJ740287_P1
3255
6285
285
82.3
globlastp


WNU96_H196
nasturtium|11v1|SRR032558.125661_P1
3256
6286
285
82.3
globlastp


WNU96_H197
oak|10v1|FP024996_P1
3257
6279
285
82.3
globlastp


WNU96_H198
pigeonpea|11v1|GR465377_P1
3258
6287
285
82.3
globlastp


WNU96_H199
platanus|11v1|SRR096786X100140_P1
3259
6288
285
82.3
globlastp


WNU96_H200
radish|gb164|EV525531
3260
6289
285
82.3
globlastp


WNU96_H201
radish|gb164|EV527006
3261
6290
285
82.3
globlastp


WNU96_H202
radish|gb164|EV538492
3262
6291
285
82.3
globlastp


WNU96_H203
radish|gb164|EV542487
3263
6292
285
82.3
globlastp


WNU96_H204
radish|gb164|FD950409
3264
6293
285
82.3
globlastp


WNU96_H205
senecio|gb170|SRR006592S0001217
3265
6294
285
82.3
globlastp


WNU96_H206
sunflower|12v1|CD851129XX1
3266
6295
285
82.3
globlastp


WNU96_H207
sunflower|12v1|CD853270XX1
3267
6268
285
82.3
globlastp


WNU96_H208
sunflower|12v1|CF076631
3268
6295
285
82.3
globlastp


WNU96_H209
sunflower|12v1|DY928155
3269
6295
285
82.3
globlastp


WNU96_H210
sunflower|12v1|DY930550
3270
6295
285
82.3
globlastp


WNU96_H211
sunflower|12v1|DY955104
3271
6268
285
82.3
globlastp


WNU96_H212
sunflower|12v1|DY958350
3272
6268
285
82.3
globlastp


WNU96_H213
sunflower|12v1|DY958886
3273
6295
285
82.3
globlastp


WNU96_H214
sunflower|12v1|EE656653
3274
6295
285
82.3
globlastp


WNU96_H215
tabernaemontana|11v1|SRR098689X104457
3275
6296
285
82.3
globlastp


WNU96_H216
thalictrum|11v1|SRR096787X104709
3276
6297
285
82.3
globlastp


WNU96_H217
triphysaria|10v1|CB815236
3277
6298
285
82.3
globlastp


WNU96_H218
watermelon|11v1|AM719795
3278
6299
285
82.3
globlastp


WNU96_H219
abies|11v2|SRR098676X111808_P1
3279
6300
285
82.2
globlastp


WNU96_H220
abies|11v2|SRR098676X13377_P1
3280
6301
285
82.2
globlastp


WNU96_H221
cycas|gb166|EX920982_P1
3281
6302
285
82.2
globlastp


WNU96_H222
maritime_pine|10v1|AL750653_P1
3282
6303
285
82.2
globlastp


WNU96_H223
nasturtium|11v1|GH161772_P1
3283
6304
285
82.2
globlastp


WNU96_H224
pine|10v2|AA556393_P1
3284
6305
285
82.2
globlastp


WNU96_H225
spruce|11v1|ES248525XX1
3285
6306
285
82.2
globlastp


WNU96_H226
pine|10v2|AI812874XX1_T1
3286
6307
285
82.19
glotblastn


WNU96_H227
pine|10v2|AW985265_T1
3287
6307
285
82.19
glotblastn


WNU96_H228
spruce|11v1|FD734799XX1
3288
6308
285
82.19
glotblastn


WNU96_H229
petunia|gb171|AF088913_P1
3289
6309
285
82
globlastp


WNU96_H230
euonymus|11v1|SRR070038X218801_P1
3290
6310
285
81.9
globlastp


WNU96_H231
liquorice|gb171|FS241298_P1
3291
6311
285
81.9
globlastp


WNU96_H232
liquorice|gb171|FS251321_P1
3292
6312
285
81.9
globlastp


WNU96_H233
peanut|10v1|CO897522XX1_P1
3293
6313
285
81.8
globlastp


WNU96_H234
pepper|12v1|BM063049XX1_P1
3294
6314
285
81.8
globlastp


WNU96_H235
soybean|11v1|GLYMA02G04400
3295
6315
285
81.8
globlastp


WNU96_H235
soybean|12v1|GLYMA02G04400_P1
3296
6315
285
81.8
globlastp


WNU96_H236
gerbera|09v1|AJ754494_T1
3297
6316
285
81.63
glotblastn


WNU96_H237
vinca|11v1|SRR098690X138305XX1
3298
6317
285
81.63
glotblastn


WNU96_H394
prunus_mume|13v1|CV051773_P1
3299
6318
285
81.6
globlastp


WNU96_H238
acacia|10v1|FS585541_P1
3300
6319
285
81.6
globlastp


WNU96_H239
amsonia|11v1|SRR098688X113310_P1
3301
6320
285
81.6
globlastp


WNU96_H240
antirrhinum|gb166|AJ786850_P1
3302
6321
285
81.6
globlastp


WNU96_H241
apple|11v1|CN581999_P1
3303
6322
285
81.6
globlastp


WNU96_H242
artemisia|10v1|EY031879_P1
3304
6323
285
81.6
globlastp


WNU96_H243
b_juncea|12v1|E6ANDIZ01A83XD_P1
3305
6324
285
81.6
globlastp


WNU96_H244
b_juncea|12v1|E6ANDIZ01AJ5DD_P1
3306
6325
285
81.6
globlastp


WNU96_H245
b_juncea|12v1|E6ANDIZ01AL3QQ_P1
3307
6326
285
81.6
globlastp


WNU96_H246
b_juncea|12v1|E6ANDIZ01D73PK_P1
3308
6327
285
81.6
globlastp


WNU96_H247
b_oleracea|gb161|DY027359_P1
3309
6328
285
81.6
globlastp


WNU96_H248
b_oleracea|gb161|DY028923_P1
3310
6329
285
81.6
globlastp


WNU96_H249
canola|11v1|CN726337XX1_P1
3311
6324
285
81.6
globlastp


WNU96_H250
centaurea|11v1|EH737154XX1_P1
3312
6330
285
81.6
globlastp


WNU96_H251
centaurea|11v1|EH745871_P1
3313
6331
285
81.6
globlastp


WNU96_H252
cirsium|11v1|SRR346952.110585_P1
3314
6332
285
81.6
globlastp


WNU96_H253
clementine|11v1|CB291758_P1
3315
6333
285
81.6
globlastp


WNU96_H254
clementine|11v1|CV886204_P1
3316
6334
285
81.6
globlastp


WNU96_H255
cleome_gynandra|10v1|SRR015532S0041884_P1
3317
6335
285
81.6
globlastp


WNU96_H256
cotton|11v1|BE052292XX1_P1
3318
6336
285
81.6
globlastp


WNU96_H257
cucumber|09v1|CF674910_P1
3319
6337
285
81.6
globlastp


WNU96_H258
cucurbita|11v1|SRR091276X104293_P1
3320
6337
285
81.6
globlastp


WNU96_H259
cucurbita|11v1|SRR091276X107888_P1
3321
6338
285
81.6
globlastp


WNU96_H260
cucurbita|11v1|SRR091276X108131_P1
3322
6337
285
81.6
globlastp


WNU96_H261
cynara|gb167|GE586291_P1
3323
6332
285
81.6
globlastp


WNU96_H262
euonymus|11v1|SRR070038X112272_P1
3324
6339
285
81.6
globlastp


WNU96_H263
euonymus|11v1|SRR070038X322834_P1
3325
6339
285
81.6
globlastp


WNU96_H264
flaveria|11v1|SRR149232.127853_P1
3326
6340
285
81.6
globlastp


WNU96_H265
gossypium_raimondii|12v1|BE052292_P1
3327
6336
285
81.6
globlastp


WNU96_H266
guizotia|10v1|GE559073_P1
3328
6341
285
81.6
globlastp


WNU96_H267
hornbeam|12v1|SRR364455.11856_P1
3329
6342
285
81.6
globlastp


WNU96_H268
melon|10v1|CF674910_P1
3330
6337
285
81.6
globlastp


WNU96_H269
orobanche|10v1|SRR023189S0001498_P1
3331
6343
285
81.6
globlastp


WNU96_H270
orobanche|10v1|SRR023189S0080494_P1
3332
6343
285
81.6
globlastp


WNU96_H271
papaya|gb165|EX291945_P1
3333
6344
285
81.6
globlastp


WNU96_H272
peanut|10v1|CD038392_P1
3334
6345
285
81.6
globlastp


WNU96_H273
physcomitrella|10v1|BJ161027_P1
3335
6346
285
81.6
globlastp


WNU96_H274
radish|gb164|EV545037
3336
6347
285
81.6
globlastp


WNU96_H275
radish|gb164|EW725335
3337
6348
285
81.6
globlastp


WNU96_H276
radish|gb164|FD529248
3338
6349
285
81.6
globlastp


WNU96_H277
rose|12v1|BQ106054XX1
3339
6350
285
81.6
globlastp


WNU96_H278
soybean|11v1|GLYMA05G02570
3340
6351
285
81.6
globlastp


WNU96_H278
soybean|12v1|GLYMA05G02570_P1
3341
6351
285
81.6
globlastp


WNU96_H279
strawberry|11v1|DV438988
3342
6352
285
81.6
globlastp


WNU96_H280
strawberry|11v1|EX657357
3343
6353
285
81.6
globlastp


WNU96_H281
tabernaemontana|11v1|SRR098689X104588
3344
6354
285
81.6
globlastp


WNU96_H282
triphysaria|10v1|EX984214
3345
6355
285
81.6
globlastp


WNU96_H283
triphysaria|10v1|EY008346
3346
6355
285
81.6
globlastp


WNU96_H284
walnuts|gb166|CV195836
3347
6356
285
81.6
globlastp


WNU96_H285
watermelon|11v1|DV632841
3348
6337
285
81.6
globlastp


WNU96_H286
gnetum|10v1|DN955837_P1
3349
6357
285
81.5
globlastp


WNU96_H287
rye|12v1|DRR001012.12244
3350
6358
285
81.5
globlastp


WNU96_H288
tamarix|gb166|CF200068
3351
6359
285
81.5
globlastp


WNU96_H289
euonymus|11v1|SRR070038X11633_P1
3352
6360
285
81.3
globlastp


WNU96_H290
euonymus|11v1|SRR070038X139772_P1
3353
6361
285
81.3
globlastp


WNU96_H291
pepper|12v1|AA840728_P1
3354
6362
285
81.3
globlastp


WNU96_H292
tripterygium|11v1|SRR098677X105260
3355
6363
285
81.3
globlastp


WNU96_H293
chickpea|11v1|GR402447XX1
3356
6364
285
81.2
globlastp


WNU96_H293
chickpea|13v2|ES560331_P1
3357
6364
285
81.2
globlastp


WNU96_H294
oil_palm|11v1|EL684166_P1
3358
6365
285
81.2
globlastp


WNU96_H295
ipomoea_nil|10v1|BJ564015_P1
3359
6366
285
81.1
globlastp


WNU96_H296
soybean|11v1|GLYMA01G03180
3360
6367
285
81.1
globlastp


WNU96_H296
soybean|12v1|GLYMA01G03180_P1
3361
6367
285
81.1
globlastp


WNU96_H395
soybean|12v1|GLYMA17G09280_P1
3362
6368
285
81
globlastp


WNU96_H297
ambrosia|11v1|SRR346943.104466_P1
3363
6369
285
81
globlastp


WNU96_H298
arabidopsis_lyrata|09v1|BQ834538_P1
3364
6370
285
81
globlastp


WNU96_H299
arabidopsis_lyrata|09v1|JGIAL007298_P1
3365
6371
285
81
globlastp


WNU96_H300
arabidopsis|10v1|AT1G23290_P1
3366
6372
285
81
globlastp


WNU96_H301
arabidopsis|10v1|AT1G70600_P1
3367
6371
285
81
globlastp


WNU96_H302
aristolochia|10v1|SRR039082S0197812_P1
3368
6373
285
81
globlastp


WNU96_H303
aristolochia|10v1|SRR039082S0498980_P1
3369
6374
285
81
globlastp


WNU96_H304
arnica|11v1|SRR099034X170873_P1
3370
6375
285
81
globlastp


WNU96_H305
b_juncea|12v1|E6ANDIZ01ASPS4_P1
3371
6376
285
81
globlastp


WNU96_H306
b_rapa|11v1|BQ791115_P1
3372
6377
285
81
globlastp


WNU96_H307
b_rapa|11v1|CD812260_P1
3373
6378
285
81
globlastp


WNU96_H308
beech|11v1|SRR006294.10896_P1
3374
6379
285
81
globlastp


WNU96_H309
blueberry|12v1|SRR353282X15999D1_P1
3375
6380
285
81
globlastp


WNU96_H310
cannabis|12v1|GR221832_P1
3376
6381
285
81
globlastp


WNU96_H311
cassava|09v1|DV441380_P1
3377
6382
285
81
globlastp


WNU96_H312
centaurea|11v1|EH751538_P1
3378
6383
285
81
globlastp


WNU96_H313
cirsium|11v1|SRR346952.1023744_P1
3379
6383
285
81
globlastp


WNU96_H314
cirsium|11v1|SRR349641.457773_P1
3380
6383
285
81
globlastp


WNU96_H315
flaveria|11v1|SRR149241.191636_P1
3381
6384
285
81
globlastp


WNU96_H316
grape|11v1|GSVIVT01004075001_P1
3382
6385
285
81
globlastp


WNU96_H317
kiwi|gb166|FG432617_P1
3383
6386
285
81
globlastp


WNU96_H318
orange|11v1|CB291758_P1
3384
6387
285
81
globlastp


WNU96_H319
orobanche|10v1|SRR023189S0028718_P1
3385
6388
285
81
globlastp


WNU96_H320
peanut|10v1|EG373102XX1_P1
3386
6389
285
81
globlastp


WNU96_H321
peanut|10v1|ES717832_P1
3387
6390
285
81
globlastp


WNU96_H322
prunus|10v1|CN445705
3388
6391
285
81
globlastp


WNU96_H323
soybean|11v1|GLYMA17G09280
3389
6368
285
81
globlastp


WNU96_H323
soybean|12v1|GLYMA17G09280T2_P1
3390
6368
285
81
globlastp


WNU96_H324
sunflower|12v1|EL430773
3391
6392
285
81
globlastp


WNU96_H325
thellungiella_halophilum|11v1|DN773413
3392
6371
285
81
globlastp


WNU96_H326
thellungiella_halophilum|11v1|DN773986
3393
6393
285
81
globlastp


WNU96_H327
thellungiella_parvulum|11v1|DN773413
3394
6394
285
81
globlastp


WNU96_H328
thellungiella_parvulum|11v1|DN773986
3395
6395
285
81
globlastp


WNU96_H329
triphysaria|10v1|BE574800
3396
6396
285
81
globlastp


WNU96_H330
valeriana|11v1|SRR099039X109958
3397
6397
285
81
globlastp


WNU96_H331
radish|gb164|EX772405
3398
6398
285
80.95
glotblastn


WNU96_H332
spruce|11v1|SRR064180X118440
3399
6399
285
80.82
glotblastn


WNU96_H333
fagopyrum|11v1|SRR063703X102046_P1
3400
6400
285
80.8
globlastp


WNU96_H334
fern|gb171|BP916009_P1
3401
6401
285
80.8
globlastp


WNU96_H335
marchantia|gb166|BJ843643_P1
3402
6402
285
80.8
globlastp


WNU96_H336
marchantia|gb166|C95754_P1
3403
6403
285
80.8
globlastp


WNU96_H337
taxus|10v1|SRR032523S0004042
3404
6404
285
80.8
globlastp


WNU96_H338
curcuma|10v1|DY383806_P1
3405
6405
285
80.7
globlastp


WNU96_H339
ginger|gb164|DY348420_P1
3406
6405
285
80.7
globlastp


WNU96_H340
clover|gb162|BB931377_P1
3407
6406
285
80.5
globlastp


WNU96_H341
blueberry|12v1|SRR353282X40202D1_P1
3408
6407
285
80.4
globlastp


WNU96_H342
eggplant|10v1|FS001347_P1
3409
6408
285
80.4
globlastp


WNU96_H343
ipomoea_batatas|10v1|BU690148_P1
3410
6409
285
80.4
globlastp


WNU96_H344
pigeonpea|11v1|GW354286_P1
3411
6410
285
80.4
globlastp


WNU96_H345
pigeonpea|11v1|SRR054580X108215_P1
3412
6411
285
80.4
globlastp


WNU96_H346
tomato|11v1|BG126263
3413
6408
285
80.4
globlastp


WNU96_H396
olea|13v1|SRR014463X26593D1_P1
3414
6412
285
80.3
globlastp


WNU96_H347
arnica|11v1|SRR099034X110845_P1
3415
6413
285
80.3
globlastp


WNU96_H348
beech|11v1|SRR006293.11638_P1
3416
6414
285
80.3
globlastp


WNU96_H349
cassava|09v1|CK641743_P1
3417
6415
285
80.3
globlastp


WNU96_H350
ceratodon|10v1|SRR074890S0020449_P1
3418
6416
285
80.3
globlastp


WNU96_H351
ceratodon|10v1|SRR074890S0029921_P1
3419
6417
285
80.3
globlastp


WNU96_H352
ceratodon|10v1|SRR074890S0064914_P1
3420
6416
285
80.3
globlastp


WNU96_H353
cleome_spinosa|10v1|GR934531_P1
3421
6418
285
80.3
globlastp


WNU96_H354
cotton|11v1|AI731642_P1
3422
6419
285
80.3
globlastp


WNU96_H355
cotton|11v1|CO087199XX1_P1
3423
6419
285
80.3
globlastp


WNU96_H356
gossypium_raimondii|12v1|AI731642_P1
3424
6419
285
80.3
globlastp


WNU96_H357
hevea|10v1|EC600120_P1
3425
6420
285
80.3
globlastp


WNU96_H358
humulus|11v1|ES654425_P1
3426
6421
285
80.3
globlastp


WNU96_H359
lotus|09v1|AW428898_P1
3427
6422
285
80.3
globlastp


WNU96_H360
physcomitrella|10v1|AW126626_P1
3428
6423
285
80.3
globlastp


WNU96_H361
physcomitrella|10v1|AW126763_P1
3429
6424
285
80.3
globlastp


WNU96_H362
physcomitrella|10v1|AW145241_P1
3430
6425
285
80.3
globlastp


WNU96_H363
physcomitrella|10v1|AW561507_P1
3431
6426
285
80.3
globlastp


WNU96_H364
soybean|11v1|GLYMA04G36140
3432
6427
285
80.3
globlastp


WNU96_H364
soybean|12v1|GLYMA04G36140_P1
3433
6427
285
80.3
globlastp


WNU96_H365
soybean|11v1|GLYMA06G18800
3434
6427
285
80.3
globlastp


WNU96_H365
soybean|12v1|GLYMA06G18800_P1
3435
6427
285
80.3
globlastp


WNU96_H366
tea|10v1|FE861453
3436
6428
285
80.3
globlastp


WNU96_H367
triphysaria|10v1|EY132075
3437
6429
285
80.3
globlastp


WNU96_H368
valeriana|11v1|SRR099039X100712
3438
6430
285
80.3
globlastp


WNU96_H369
nasturtium|11v1|GH168713XX1_T1
3439
6431
285
80.27
glotblastn


WNU96_H370
thalictrum|11v1|SRR096787X100084
3440
6432
285
80.27
glotblastn


WNU96_H371
wheat|12v3|ERR125558X344920D1
3441
6433
285
80.27
glotblastn


WNU96_H372
amborella|12v3|SRR038635.54053_P1
3442
6434
285
80.1
globlastp


WNU96_H373
coffea|10v1|DV664105_P1
3443
6435
285
80.1
globlastp


WNU96_H374
fagopyrum|11v1|SRR063689X1162_P1
3444
6436
285
80.1
globlastp


WNU96_H375
fern|gb171|BP911784_P1
3445
6437
285
80.1
globlastp


WNU96_H376
zamia|gb166|FD767255
3446
6438
285
80.1
globlastp


WNU96_H377
lotus|09v1|BE122486_P1
3447
6439
285
80
globlastp


WNU97_H23
switchgrass|12v1|DN141383_P1
3448
6440
286
93.9
globlastp


WNU97_H1
switchgrass|gb167|DN141383
3449
6441
286
93.9
globlastp


WNU97_H2
sorghum|12v1|SB04G030840
3450
6442
286
93.5
globlastp


WNU97_H24
switchgrass|12v1|FL700367_P1
3451
6443
286
93.1
globlastp


WNU97_H3
foxtail_millet|11v3|PHY7SI017105M_P1
3452
6444
286
93.1
globlastp


WNU97_H4
foxtail_millet|11v3|PHY7SI017100M_P1
3453
6445
286
92.9
globlastp


WNU97_H5
millet|10v1|EVO454PM029707_P1
3454
6446
286
92.9
globlastp


WNU97_H6
sugarcane|10v1|BQ537415
3455
6447
286
92.2
globlastp


WNU97_H7
rice|11v1|AU030834
3456
6448
286
91.8
globlastp


WNU97_H8
maize|10v1|AI619236_P1
3457
6449
286
91.2
globlastp


WNU97_H9
maize|10v1|AI395902_P1
3458
6450
286
90.4
globlastp


WNU97_H10
brachypodium|12v1|BRADI3G52490_P1
3459
6451
286
88.5
globlastp


WNU97_H11
brachypodium|12v1|BRADI3G52480_T1
3460
6452
286
88.05
glotblastn


WNU97_H12
rye|12v1|DRR001012.374006
3461
6453
286
87.42
glotblastn


WNU97_H13
brachypodium|12v1|BRADI4G20910_P1
3462
6454
286
87.4
globlastp


WNU97_H14
wheat|12v3|BE398510
3463
6455
286
87.4
globlastp


WNU97_H15
wheat|12v3|BE637843
3464
6456
286
87.4
globlastp


WNU97_H16
barley|12v1|BI949877_P1
3465
6457
286
87.3
globlastp


WNU97_H17
foxtail_millet|11v3|EC613380_P1
3466
6458
286
86.2
globlastp


WNU97_H25
switchgrass|12v1|FE610507_P1
3467
6459
286
86
globlastp


WNU97_H18
switchgrass|gb167|FE610507
3468
6459
286
86
globlastp


WNU97_H19
rice|11v1|BE039832
3469
6460
286
85.6
globlastp


WNU97_H20
barley|12v1|CB870420_P1
3470
6461
286
85.5
globlastp


WNU97_H21
brachypodium|12v1|BRADI5G20500_P1
3471
6462
286
84.3
globlastp


WNU97_H26
switchgrass|12v1|HO302712_P1
3472
6463
286
81.5
globlastp


WNU97_H22
oil_palm|11v1|SRR190698.333_P1
3473
6464
286
81.5
globlastp


WNU98_H1
sorghum|12v1|SB12V2PRD003639
3474
6465
287
97.7
globlastp


WNU98_H3
maize|10v1|AI834458_P1
3475
6466
287
90.4
globlastp


WNU98_H21
switchgrass|12v1|FL696742_P1
3476
6467
287
86.5
globlastp


WNU98_H9
switchgrass|gb167|FL696742
3477
6468
287
86.5
globlastp


WNU98_H11
brachypodium|12v1|BRADI3G36420T2_P1
3478
6469
287
83
globlastp


WNU98_H17
millet|10v1|CD725866_P1
3479
6470
287
80.5
globlastp


WNU98_H18
brachypodium|12v1|BRADI3G15400_P1
3480
6471
287
80.3
globlastp


WNU100_H1
sugarcane|10v1|CA080221
3481
6472
289
97.3
globlastp


WNU100_H2
maize|10v1|AI920330_P1
3482
6473
289
95.3
globlastp


WNU100_H3
maize|10v1|AI372343_P1
3483
6474
289
92.4
globlastp


WNU100_H21
switchgrass|12v1|DN145760_P1
3484
6475
289
92.2
globlastp


WNU100_H4
foxtail_millet|11v3|PHY7SI022041M_P1
3485
6476
289
91.6
globlastp


WNU100_H22
switchgrass|12v1|DN143054_P1
3486
6477
289
91.3
globlastp


WNU100_H5
millet|10v1|EVO454PM004855_P1
3487
6478
289
89.5
globlastp


WNU100_H6
rice|11v1|BE039691
3488
6479
289
85
globlastp


WNU100_H7
brachypodium|12v1|BRADI2G27870T2_P1
3489
6480
289
84.8
globlastp


WNU100_H8
switchgrass|gb167|FE607111
3490
6481
289
84.4
globlastp


WNU100_H9
rye|12v1|BE438576
3491
6482
289
83.3
globlastp


WNU100_H10
rye|12v1|BE587236
3492
6483
289
83
globlastp


WNU100_H11
wheat|12v3|BE425285
3493
6484
289
82.4
globlastp


WNU100_H12
oat|11v1|GO590964_P1
3494
6485
289
82
globlastp


WNU100_H13
sugarcane|10v1|BU103330
3495
6486
289
81.4
globlastp


WNU100_H14
sorghum|12v1|SB03G012980P1
3496
6487
289
81.2
globlastp


WNU100_H15
rice|11v1|AF251077
3497
6488
289
80.9
globlastp


WNU100_H16
maize|10v1|AW330985_P1
3498
6489
289
80.8
globlastp


WNU100_H17
switchgrass|gb167|DN145169
3499
6490
289
80.5
globlastp


WNU100_H23
switchgrass|12v1|FE614478_P1
3500
6491
289
80.3
globlastp


WNU100_H18
brachypodium|12v1|BRADI2G11960_P1
3501
6492
289
80.2
globlastp


WNU100_H19
foxtail_millet|11v3|EC613315_P1
3502
6493
289
80
globlastp


WNU100_H20
switchgrass|gb167|FE614478
3503
6494
289
80
globlastp


WNU101_H293
switchgrass|12v1|FL890785_P1
3504
290
290
100
globlastp


WNU101_H1
foxtail_millet|11v3|PHY7SI037950M_P1
3505
290
290
100
globlastp


WNU101_H2
maize|10v1|AI947327_P1
3506
290
290
100
globlastp


WNU101_H3
rice|11v1|AA751811
3507
290
290
100
globlastp


WNU101_H4
rice|11v1|BM422117
3508
290
290
100
globlastp


WNU101_H5
sugarcane|10v1|CA078742
3509
290
290
100
globlastp


WNU101_H6
sugarcane|10v1|CA094200
3510
290
290
100
globlastp


WNU101_H7
switchgrass|gb167|FE627194
3511
290
290
100
globlastp


WNU101_H8
switchgrass|gb167|FL890785
3512
290
290
100
globlastp


WNU101_H294
prunus_mume|13v1|CV048453_P1
3513
6495
290
99.3
globlastp


WNU101_H295
switchgrass|12v1|FE599229_P1
3514
6496
290
99.3
globlastp


WNU101_H296
switchgrass|12v1|FE627193_P1
3515
6497
290
99.3
globlastp


WNU101_H297
switchgrass|12v1|PVJGIV8034532_P1
3516
6496
290
99.3
globlastp


WNU101_H9
cannabis|12v1|SOLX00003945_P1
3517
6498
290
99.3
globlastp


WNU101_H10
cannabis|12v1|SOLX00046973_P1
3518
6498
290
99.3
globlastp


WNU101_H11
cowpea|12v1|FC457960_P1
3519
6498
290
99.3
globlastp


WNU101_H12
cynodon|10v1|ES299130_P1
3520
6499
290
99.3
globlastp


WNU101_H13
foxtail_millet|11v3|PHY7SI015422M_P1
3521
6500
290
99.3
globlastp


WNU101_H14
humulus|11v1|ES652347_P1
3522
6498
290
99.3
globlastp


WNU101_H15
millet|10v1|EVO454PM082379_P1
3523
6501
290
99.3
globlastp


WNU101_H16
millet|10v1|EVO454PM092592_P1
3524
6502
290
99.3
globlastp


WNU101_H17
oil_palm|11v1|EL563746_T1
3525
6503
290
99.3
glotblastn


WNU101_H18
prunus|10v1|CB821190
3526
6495
290
99.3
globlastp


WNU101_H19
switchgrass|gb167|FE599229
3527
6496
290
99.3
globlastp


WNU101_H20
switchgrass|gb167|FE627193
3528
6497
290
99.3
globlastp


WNU101_H298
bean|12v2|SRR001334.110465_P1
3529
6504
290
98.6
globlastp


WNU101_H299
castorbean|12v1|AM267346_P1
3530
6505
290
98.6
globlastp


WNU101_H300
olea|13v1|SRR596004X17743D1_P1
3531
6506
290
98.6
globlastp


WNU101_H301
soybean|12v1|FG996914_P1
3532
6505
290
98.6
globlastp


WNU101_H21
amborella|12v3|CV001469_P1
3533
6505
290
98.6
globlastp


WNU101_H22
amsonia|11v1|SRR098688X107015_P1
3534
6507
290
98.6
globlastp


WNU101_H23
banana|12v1|BBS767T3_P1
3535
6505
290
98.6
globlastp


WNU101_H24
banana|12v1|GFXAC186753X5_P1
3536
6505
290
98.6
globlastp


WNU101_H25
basilicum|10v1|DY323195XX1_P1
3537
6508
290
98.6
globlastp


WNU101_H26
basilicum|10v1|DY323761_P1
3538
6508
290
98.6
globlastp


WNU101_H27
bean|12v1|SRR001334.110465
3539
6504
290
98.6
globlastp


WNU101_H28
beet|12v1|DN911504_P1
3540
6509
290
98.6
globlastp


WNU101_H29
cacao|10v1|CF973092_P1
3541
6505
290
98.6
globlastp


WNU101_H30
cannabis|12v1|SOLX00000646_P1
3542
6510
290
98.6
globlastp


WNU101_H32
catharanthus|11v1|EG556080_P1
3543
6509
290
98.6
globlastp


WNU101_H33
cleome_gynandral|10v1|SRR015532S0005602_P1
3544
6505
290
98.6
globlastp


WNU101_H34
cyamopsis|10v1|EG975384_P1
3545
6505
290
98.6
globlastp


WNU101_H35
cynodon|10v1|ES301623_P1
3546
6511
290
98.6
globlastp


WNU101_H36
eggplant|10v1|FS036156_P1
3547
6506
290
98.6
globlastp


WNU101_H37
eucalyptus|11v2|CD668709_P1
3548
6505
290
98.6
globlastp


WNU101_H38
euphorbia|11v1|BG409394_P1
3549
6505
290
98.6
globlastp


WNU101_H39
fagopyrum|11v1|SRR063689X10256_P1
3550
6512
290
98.6
globlastp


WNU101_H40
fagopyrum|11v1|SRR063703X114483_P1
3551
6512
290
98.6
globlastp


WNU101_H41
grape|11v1|GSVIVT01018060001_P1
3552
6505
290
98.6
globlastp


WNU101_H42
iceplant|gb164|BE577228_P1
3553
6513
290
98.6
globlastp


WNU101_H43
ipomoea_nil|10v1|BJ555713_P1
3554
6504
290
98.6
globlastp


WNU101_H44
kiwi|gb166|FG410882_P1
3555
6514
290
98.6
globlastp


WNU101_H45
periwinkle|gb164|EG556080_P1
3556
6509
290
98.6
globlastp


WNU101_H46
phyla|11v2|SRR099035X135285_P1
3557
6514
290
98.6
globlastp


WNU101_H47
pigeonpea|11v1|GR471946_P1
3558
6505
290
98.6
globlastp


WNU101_H48
plantago|11v2|SRR066373X108968_P1
3559
6512
290
98.6
globlastp


WNU101_H49
platanus|11v1|SRR096786X100429_P1
3560
6509
290
98.6
globlastp


WNU101_H50
platanus|11v1|SRR096786X132286_P1
3561
6509
290
98.6
globlastp


WNU101_H51
poplar|10v1|AI162529
3562
6505
290
98.6
globlastp


WNU101_H51
poplar|13v1|AI162529_P1
3563
6505
290
98.6
globlastp


WNU101_H52
silene|11v1|SRR096785X10232
3564
6515
290
98.6
globlastp


WNU101_H53
silene|11v1|SRR096785X137191
3565
6515
290
98.6
globlastp


WNU101_H54
soybean|11v1|GLYMA09G42010
3566
6505
290
98.6
globlastp


WNU101_H54
soybean|12v1|GLYMA09G42010_P1
3567
6505
290
98.6
globlastp


WNU101_H55
soybean|11v1|GLYMA19G28850
3568
6505
290
98.6
globlastp


WNU101_H55
soybean|12v1|GLYMA19G28850_P1
3569
6505
290
98.6
globlastp


WNU101_H56
spurge|gb161|BG409394
3570
6505
290
98.6
globlastp


WNU101_H57
tabernaemontana|11v1|SRR098689X110144
3571
6509
290
98.6
globlastp


WNU101_H58
utricularia|11v1|SRR094438.112676
3572
6516
290
98.6
globlastp


WNU101_H302
monkeyflower|12v1|DV206684_P1
3573
6517
290
97.9
globlastp


WNU101_H303
monkeyflower|12v1|MGJGI003701_P1
3574
6518
290
97.9
globlastp


WNU101_H304
prunus_mume|13v1|CB821190_P1
3575
6519
290
97.9
globlastp


WNU101_H59
ambrosia|11v1|SRR346935.498332_P1
3576
6520
290
97.9
globlastp


WNU101_H60
avocado|10v1|CO996154_P1
3577
6521
290
97.9
globlastp


WNU101_H61
blueberry|12v1|CV191461_P1
3578
6522
290
97.9
globlastp


WNU101_H62
blueberry|12v1|SRR353282X26281D1_P1
3579
6522
290
97.9
globlastp


WNU101_H63
cassava|09v1|CK641842_P1
3580
6521
290
97.9
globlastp


WNU101_H64
chestnut|gb170|SRR006295S0005679_P1
3581
6523
290
97.9
globlastp


WNU101_H65
chickpea|11v1|FE669803
3582
6521
290
97.9
globlastp


WNU101_H65
chickpea|13v2|FE669803_P1
3583
6521
290
97.9
globlastp


WNU101_H66
cichorium|gb171|EH696302_P1
3584
6524
290
97.9
globlastp


WNU101_H67
cleome_spinosa|10v1|SRR015531S0000807_P1
3585
6521
290
97.9
globlastp


WNU101_H68
cotton|11v1|BE055159_P1
3586
6521
290
97.9
globlastp


WNU101_H69
cotton|11v1|CO098243_P1
3587
6521
290
97.9
globlastp


WNU101_H70
dandelion|10v1|DR399422_P1
3588
6524
290
97.9
globlastp


WNU101_H71
eschscholzia|11v1|SRR014116.103261_P1
3589
6521
290
97.9
globlastp


WNU101_H72
euphorbia|11v1|SRR098678X147242_P1
3590
6525
290
97.9
globlastp


WNU101_H73
flaveria|11v1|SRR149229.1128_P1
3591
6524
290
97.9
globlastp


WNU101_H74
flaveria|11v1|SRR149232.114130_P1
3592
6524
290
97.9
globlastp


WNU101_H75
flaveria|11v1|SRR149232.175301_P1
3593
6524
290
97.9
globlastp


WNU101_H76
flaveria|11v1|SRR149232.193194_P1
3594
6524
290
97.9
globlastp


WNU101_H77
flaveria|11v1|SRR149238.143076_P1
3595
6524
290
97.9
globlastp


WNU101_H78
flaveria|11v1|SRR149244.127484_P1
3596
6524
290
97.9
globlastp


WNU101_H79
gerbera|09v1|AJ751817_P1
3597
6524
290
97.9
globlastp


WNU101_H80
gossypium_raimondii|12v1|BE055159_P1
3598
6521
290
97.9
globlastp


WNU101_H81
hevea|10v1|EC605962_P1
3599
6521
290
97.9
globlastp


WNU101_H82
jatropha|09v1|GT229106_P1
3600
6526
290
97.9
globlastp


WNU101_H83
lettuce|12v1|DW062812_P1
3601
6524
290
97.9
globlastp


WNU101_H84
liquorice|gb171|FS244248_P1
3602
6521
290
97.9
globlastp


WNU101_H85
liriodendron|gb166|CO995509_P1
3603
6521
290
97.9
globlastp


WNU101_H86
melon|10v1|DV631514_P1
3604
6521
290
97.9
globlastp


WNU101_H87
momordica|10v1|SRR071315S0002724_P1
3605
6521
290
97.9
globlastp


WNU101_H88
monkeyflower|10v1|DV206684
3606
6517
290
97.9
globlastp


WNU101_H89
oak|10v1|FP025535_P1
3607
6523
290
97.9
globlastp


WNU101_H90
oak|10v1|FP040425_P1
3608
6523
290
97.9
globlastp


WNU101_H91
papaya|gb165|EX260690_P1
3609
6527
290
97.9
globlastp


WNU101_H92
peanut|10v1|ES715587_P1
3610
6521
290
97.9
globlastp


WNU101_H93
petunia|gb171|DC240537_P1
3611
6528
290
97.9
globlastp


WNU101_H94
primula|11v1|SRR098679X118382_P1
3612
6529
290
97.9
globlastp


WNU101_H95
prunus|10v1|BF717180
3613
6519
290
97.9
globlastp


WNU101_H96
sarracenia|11v1|SRR192669.118427
3614
6530
290
97.9
globlastp


WNU101_H97
sunflower|12v1|CD847531
3615
6524
290
97.9
globlastp


WNU101_H98
sunflower|12v1|EE651498
3616
6524
290
97.9
globlastp


WNU101_H99
sunflower|12v1|EE657167XX1
3617
6524
290
97.9
globlastp


WNU101_H100
thellungiella_halophilum|11v1|BM985553
3618
6521
290
97.9
globlastp


WNU101_H101
thellungiella_halophilum|11v1|DN778887
3619
6521
290
97.9
globlastp


WNU101_H102
tragopogon|10v1|SRR020205S0042330
3620
6524
290
97.9
globlastp


WNU101_H103
valeriana|11v1|SRR099039X102759
3621
6531
290
97.9
globlastp


WNU101_H104
watermelon|11v1|AM715146
3622
6521
290
97.9
globlastp


WNU101_H305
nicotiana_benthamiana|12v1|CN741539_P1
3623
6532
290
97.2
globlastp


WNU101_H306
olea|13v1|SRR014466X64437D1_P1
3624
6533
290
97.2
globlastp


WNU101_H105
aquilegia|10v2|JGIAC002127_P1
3625
6534
290
97.2
globlastp


WNU101_H106
arabidopsis_lyrata|09v1|JGIAL020514_P1
3626
6535
290
97.2
globlastp


WNU101_H107
arabidopsis|10v1|AT5G08290_P1
3627
6536
290
97.2
globlastp


WNU101_H108
banana|12v1|BBS821T3_P1
3628
6537
290
97.2
globlastp


WNU101_H109
brachypodium|12v1|BRADI2G20230_P1
3629
6538
290
97.2
globlastp


WNU101_H110
cassava|09v1|DV442374_P1
3630
6539
290
97.2
globlastp


WNU101_H111
chelidonium|11v1|SRR084752X111705_P1
3631
6540
290
97.2
globlastp


WNU101_H112
clementine|11v1|CB293969_P1
3632
6541
290
97.2
globlastp


WNU101_H113
cleome_gynandra|10v1|SRR015532S0011342_P1
3633
6542
290
97.2
globlastp


WNU101_H114
cleome_spinosa|10v1|GR931475_P1
3634
6543
290
97.2
globlastp


WNU101_H115
cucumber|09v1|DV631514_P1
3635
6544
290
97.2
globlastp


WNU101_H116
flaveria|11v1|SRR149229.15567_P1
3636
6545
290
97.2
globlastp


WNU101_H117
flaveria|11v1|SRR149232.130294_P1
3637
6546
290
97.2
globlastp


WNU101_H118
gerbera|09v1|AJ751066_P1
3638
6547
290
97.2
globlastp


WNU101_H119
leymus|gb166|EG375649_P1
3639
6548
290
97.2
globlastp


WNU101_H120
lotus|09v1|LLBW596117_P1
3640
6549
290
97.2
globlastp


WNU101_H121
monkeyflower|10v1|GO986033
3641
6550
290
97.2
glotblastn


WNU101_H122
nicotiana_benthamiana|gb162|CN741539
3642
6532
290
97.2
globlastp


WNU101_H123
nuphar|gb166|CD474407_P1
3643
6551
290
97.2
globlastp


WNU101_H124
oat|11v1|GR356084_P1
3644
6538
290
97.2
globlastp


WNU101_H125
olea|11v1|SRR014463.12122
3645
6533
290
97.2
globlastp


WNU101_H125
olea|13v1|SRR014463X12122D1_P1
3646
6533
290
97.2
globlastp


WNU101_H126
olea|11v1|SRR014463.6941
3647
6533
290
97.2
globlastp


WNU101_H127
orange|11v1|CB293969_P1
3648
6541
290
97.2
globlastp


WNU101_H128
orobanche|10v1|SRR023189S0011862_P1
3649
6552
290
97.2
globlastp


WNU101_H129
petunia|gb171|DY395476_P1
3650
6532
290
97.2
globlastp


WNU101_H130
poppy|11v1|FE965510_P1
3651
6535
290
97.2
globlastp


WNU101_H131
poppy|11v1|FE968162_P1
3652
6535
290
97.2
globlastp


WNU101_H132
poppy|11v1|SRR030259.140845_P1
3653
6535
290
97.2
globlastp


WNU101_H133
poppy|11v1|SRR096789.129001_P1
3654
6535
290
97.2
globlastp


WNU101_H134
potato|10v1|BG598825_P1
3655
6532
290
97.2
globlastp


WNU101_H135
rose|12v1|BQ104850
3656
6553
290
97.2
globlastp


WNU101_H136
rye|12v1|DRR001012.152837
3657
6548
290
97.2
globlastp


WNU101_H137
scabiosa|11v1|SRR063723X100235
3658
6554
290
97.2
globlastp


WNU101_H138
solanum_phureja|09v1|SPHBG133499
3659
6532
290
97.2
globlastp


WNU101_H139
strawberry|11v1|CO381722
3660
6553
290
97.2
globlastp


WNU101_H140
sunflower|12v1|BU672024
3661
6555
290
97.2
globlastp


WNU101_H141
sunflower|12v1|CF085521
3662
6556
290
97.2
globlastp


WNU101_H142
switchgrass|gb167|FE640147
3663
6557
290
97.2
globlastp


WNU101_H143
tea|10v1|DY523280
3664
6558
290
97.2
globlastp


WNU101_H144
tobacco|gb162|CV020574
3665
6532
290
97.2
globlastp


WNU101_H145
tobacco|gb162|DW004387
3666
6559
290
97.2
globlastp


WNU101_H146
tomato|11v1|BG133499
3667
6532
290
97.2
globlastp


WNU101_H147
watermelon|11v1|VMEL06624730052175
3668
6544
290
97.2
globlastp


WNU101_H148
wheat|12v3|BE516783
3669
6548
290
97.2
globlastp


WNU101_H149
amorphophallus|11v2|SRR089351X183516_T1
3670
6560
290
97.18
glotblastn


WNU101_H150
flaveria|11v1|SRR149229.223003_T1
3671
6561
290
97.18
glotblastn


WNU101_H151
flaveria|11v1|SRR149229.348878XX1_T1
3672
6562
290
97.18
glotblastn


WNU101_H152
abies|11v2|SRR098676X118115_P1
3673
6563
290
96.5
globlastp


WNU101_H153
ambrosia|11v1|SRR346943.100935_P1
3674
6564
290
96.5
globlastp


WNU101_H154
antirrhinum|gb166|AJ806089_P1
3675
6565
290
96.5
globlastp


WNU101_H155
b_Juncea|12v1|E6ANDIZ01B6RJK_P1
3676
6566
290
96.5
globlastp


WNU101_H156
b_Juncea|12v1|E6ANDIZ01BM0LN_P1
3677
6566
290
96.5
globlastp


WNU101_H157
b_oleracea|gb161|DY023458_P1
3678
6566
290
96.5
globlastp


WNU101_H158
b_rapa|11v1|CD830767_P1
3679
6566
290
96.5
globlastp


WNU101_H159
barley|12v1|BE422314_P1
3680
6567
290
96.5
globlastp


WNU101_H160
beech|11v1|SRR006293.28635_P1
3681
6568
290
96.5
globlastp


WNU101_H161
bupleurum|11v1|SRR301254.104295_P1
3682
6569
290
96.5
globlastp


WNU101_H162
canola|11v1|CN730207_P1
3683
6566
290
96.5
globlastp


WNU101_H163
centaurea|11v1|EH752544_P1
3684
6570
290
96.5
globlastp


WNU101_H164
cirsium|11v1|SRR346952.1007521_P1
3685
6570
290
96.5
globlastp


WNU101_H165
cirsium|11v1|SRR346952.103291_P1
3686
6570
290
96.5
globlastp


WNU101_H166
cirsium|11v1|SRR349641.102618_P1
3687
6570
290
96.5
globlastp


WNU101_H167
coffea|10v1|DV664615_P1
3688
6571
290
96.5
globlastp


WNU101_H168
cucurbita|11v1|SRR091276X10160_P1
3689
6572
290
96.5
globlastp


WNU101_H169
distylium|11v1|SRR065077X11672_P1
3690
6573
290
96.5
globlastp


WNU101_H170
fescue|gb161|DT678464_P1
3691
6567
290
96.5
globlastp


WNU101_H171
flax|11v1|EU830158_P1
3692
6574
290
96.5
globlastp


WNU101_H172
flax|11v1|GW864378_P1
3693
6574
290
96.5
globlastp


WNU101_H173
fraxinus|11v1|SRR058827.118876_P1
3694
6575
290
96.5
globlastp


WNU101_H174
ginger|gb164|DY345152_P1
3695
6563
290
96.5
globlastp


WNU101_H175
gossypium_raimondii|12v1|SRR032877.152174_P1
3696
6576
290
96.5
globlastp


WNU101_H176
lotus|09v1|BI417743_P1
3697
6577
290
96.5
globlastp


WNU101_H177
medicago|12v1|AJ388790_P1
3698
6563
290
96.5
globlastp


WNU101_H178
oat|11v1|CN819608_P1
3699
6567
290
96.5
globlastp


WNU101_H179
oat|11v1|GO592755_P1
3700
6567
290
96.5
globlastp


WNU101_H180
onion|12v1|SRR073446X1027D1_P1
3701
6578
290
96.5
globlastp


WNU101_H181
onion|12v1|SRR073446X107895D1_P1
3702
6578
290
96.5
globlastp


WNU101_H182
phalaenopsis|11v1|CB033892_P1
3703
6579
290
96.5
globlastp


WNU101_H183
phylap|11v2|SRR099037X110675_P1
3704
6580
290
96.5
globlastp


WNU101_H184
pine|10v2|AW226051_P1
3705
6563
290
96.5
globlastp


WNU101_H185
pine|10v2|BM157567_P1
3706
6563
290
96.5
globlastp


WNU101_H186
pseudoroegneria|gb167|FF344285
3707
6567
290
96.5
globlastp


WNU101_H187
pseudoroegneria|gb167|FF360594
3708
6581
290
96.5
globlastp


WNU101_H188
pseudotsuga|10v1|SRR065119S0012174
3709
6563
290
96.5
globlastp


WNU101_H189
radish|gb164|EV526928
3710
6566
290
96.5
globlastp


WNU101_H190
radish|gb164|EV536846
3711
6566
290
96.5
globlastp


WNU101_H191
radish|gb164|EV546061
3712
6566
290
96.5
globlastp


WNU101_H192
radish|gb164|EV552595
3713
6566
290
96.5
globlastp


WNU101_H193
radish|gb164|EW715626
3714
6566
290
96.5
globlastp


WNU101_H194
radish|gb164|EW718137
3715
6566
290
96.5
globlastp


WNU101_H195
radish|gb164|EX754496
3716
6566
290
96.5
globlastp


WNU101_H196
radish|gb164|FD967082
3717
6566
290
96.5
globlastp


WNU101_H197
rye|12v1|DRR001012.107996
3718
6567
290
96.5
globlastp


WNU101_H198
rye|12v1|DRR001012.271505
3719
6567
290
96.5
globlastp


WNU101_H199
rye|12v1|DRR001012.273776
3720
6567
290
96.5
globlastp


WNU101_H200
rye|12v1|DRR001012.316946
3721
6567
290
96.5
globlastp


WNU101_H201
salvia|10v1|CV170127
3722
6580
290
96.5
globlastp


WNU101_H202
sciadopitys|10v1|SRR065035S0010777
3723
6573
290
96.5
globlastp


WNU101_H203
solanum_phureja|09v1|SPHBG129871
3724
6582
290
96.5
globlastp


WNU101_H204
spruce|11v1|ES248362
3725
6563
290
96.5
globlastp


WNU101_H205
strawberry|11v1|CX661524
3726
6583
290
96.5
globlastp


WNU101_H206
thalictrum|11v1|SRR096787X139137
3727
6584
290
96.5
globlastp


WNU101_H207
thellungiella_parvulum|11v1|BM985553
3728
6585
290
96.5
globlastp


WNU101_H208
tomato|11v1|BG129871
3729
6586
290
96.5
globlastp


WNU101_H209
trigonella|11v1|SRR066194X128110
3730
6563
290
96.5
globlastp


WNU101_H210
tripterygium|11v1|SRR098677X100265
3731
6563
290
96.5
globlastp


WNU101_H211
vinca|11v1|SRR098690X110755
3732
6587
290
96.5
globlastp


WNU101_H212
wheat|12v3|BE399722
3733
6567
290
96.5
globlastp


WNU101_H213
zostera|10v1|AM771035
3734
6588
290
96.5
globlastp


WNU101_H214
bupleurum|11v1|SRR301254.104964_T1
3735
6589
290
96.48
glotblastn


WNU101_H215
cedrus|11v1|SRR065007X138898_T1
3736
6590
290
96.48
glotblastn


WNU101_H216
cotton|11v1|SRR032799.218046_T1
3737
6591
290
96.48
glotblastn


WNU101_H217
fraxinus|11v1|SRR058827.139368_T1
3738
6592
290
96.48
glotblastn


WNU101_H218
poppy|11v1|SRR030259.109854_T1
3739
6593
290
96.48
glotblastn


WNU101_H219
b Juncea|12v1|E6ANDIZ01A7FXP_P1
3740
6594
290
95.8
globlastp


WNU101_H220
cenchrus|gb166|EB654842_P1
3741
6595
290
95.8
globlastp


WNU101_H221
cephalotaxus|11v1|SRR064395X104976_P1
3742
6596
290
95.8
globlastp


WNU101_H222
cryptomeria|gb166|BP173808_P1
3743
6597
290
95.8
globlastp


WNU101_H223
euonymus|11v1|SRR070038X107379_P1
3744
6598
290
95.8
globlastp


WNU101_H224
euonymus|11v1|SRR070038X122208_P1
3745
6598
290
95.8
globlastp


WNU101_H225
euonymus|11v1|SRR070038X167324_P1
3746
6598
290
95.8
globlastp


WNU101_H226
euonymus|11v1|SRR070038X303898_P1
3747
6598
290
95.8
globlastp


WNU101_H227
guizotia|10v1|GE561377_P1
3748
6599
290
95.8
globlastp


WNU101_H228
medicago|12v1|AL379466_P1
3749
6600
290
95.8
globlastp


WNU101_H229
pepper|12v1|GD060357_P1
3750
6601
290
95.8
globlastp


WNU101_H230
sequoia|10v1|SRR065044S0003965
3751
6597
290
95.8
globlastp


WNU101_H231
trigonella|11v1|SRR066194X132286
3752
6600
290
95.8
globlastp


WNU101_H232
triphysaria|10v1|DR174156
3753
6602
290
95.8
globlastp


WNU101_H233
triphysaria|10v1|DR174471
3754
6602
290
95.8
globlastp


WNU101_H234
ambrosia|11v1|SRR346935.266437_T1
3755
6603
290
95.77
glotblastn


WNU101_H235
fraxinus|11v1|SRR058827.101637_T1
3756
6604
290
95.77
glotblastn


WNU101_H307
bean|12v2|CA911930_T1
3757
6605
290
95.1
glotblastn


WNU101_H236
b_oleracea|gb161|DY019123_P1
3758
6606
290
95.1
globlastp


WNU101_H238
guizotia|10v1|GE555178_P1
3759
6607
290
95.1
globlastp


WNU101_H239
nasturtium|11v1|GH170206_P1
3760
6608
290
95.1
globlastp


WNU101_H240
nasturtium|11v1|SRR032558.142872_P1
3761
6608
290
95.1
globlastp


WNU101_H241
pigeonpea|11v1|SRR054580X166585_P1
3762
6609
290
95.1
globlastp


WNU101_H242
podocarpus|10v1|SRR065014S0029356_P1
3763
6610
290
95.1
globlastp


WNU101_H243
taxus|10v1|SRR032523S0009023
3764
6611
290
95.1
globlastp


WNU101_H244
vinca|11v1|SRR098690X103143
3765
6612
290
95.1
globlastp


WNU101_H245
gnetum|10v1|SRR064399S0043656_T1
3766
6613
290
95.07
glotblastn


WNU101_H246
onion|12v1|SRR073446X168589D1_T1
3767
6614
290
95.07
glotblastn


WNU101_H247
aquilegia|10v2|JGIAC002827_P1
3768
6615
290
94.4
globlastp


WNU101_H248
arnica|11v1|SRR099034X106017_P1
3769
6616
290
94.4
globlastp


WNU101_H249
ceratodon|10v1|SRR074890S0096822_P1
3770
6617
290
94.4
globlastp


WNU101_H250
cotton|11v1|SRR032368.104563_P1
3771
6618
290
94.4
globlastp


WNU101_H251
physcomitrella|10v1|BJ157579_P1
3772
6617
290
94.4
globlastp


WNU101_H252
pteridium|11v1|SRR043594X101280
3773
6619
290
94.4
globlastp


WNU101_H253
pteridium|11v1|SRR043594X144633
3774
6620
290
94.4
globlastp


WNU101_H254
artemisia|10v1|EY036412_T1
3775
6621
290
94.37
glotblastn


WNU101_H308
zostera|12v1|SRR057351X120093D1_P1
3776
6622
290
93.7
globlastp


WNU101_H255
marchantia|gb166|BJ841020_P1
3777
6623
290
93.7
globlastp


WNU101_H256
medicago|12v1|XM_003607213_P1
3778
6624
290
93.7
globlastp


WNU101_H257
brachypodium|12v1|BRADI5G26987_P1
3779
6625
290
92.3
globlastp


WNU101_H258
epimedium|11v1|SRR013502.28172_P1
3780
6626
290
92.3
globlastp


WNU101_H309
zostera|12v1|SRR057351X155005D1_P1
3781
6627
290
91.5
globlastp


WNU101_H259
brachypodium|12v1|BRADI2G61080_P1
3782
6628
290
91.5
globlastp


WNU101_H260
senecio|gb170|DY661572
3783
6629
290
91.1
globlastp


WNU101_H261
maritime_pine|10v1|AL751085_P1
3784
6630
290
91
globlastp


WNU101_H262
brachypodium|12v1|BRADI5G26970_P1
3785
6631
290
90.8
globlastp


WNU101_H263
b_rapa|11v1|CD817247_T1
3786
6632
290
90.14
glotblastn


WNU101_H264
brachypodium|12v1|BRADI2G62110_P1
3787
6633
290
90.1
globlastp


WNU101_H265
safflower|gb162|EL390885
3788
6634
290
89.7
globlastp


WNU101_H266
peanut|10v1|GO334384_T1
3789
6635
290
88.82
glotblastn


WNU101_H310
volvox|12v1|FD808894_P1
3790
6636
290
88
globlastp


WNU101_H267
cirsium|11v1|SRR346952.614503_P1
3791
6637
290
88
globlastp


WNU101_H268
mesostigma|gb166|DN254740_P1
3792
6638
290
88
globlastp


WNU101_H269
volvox|gb162|CBGZ13922FWD
3793
6636
290
88
globlastp


WNU101_H270
cirsium|11v1|SRR349641.1172450_P1
3794
6639
290
87.8
globlastp


WNU101_H271
medicago|12v1|MTPRD023853_T1
3795
6640
290
87.42
glotblastn


WNU101_H311
soybean|12v1|GLYMA11G10560_P1
3796
6641
290
87.3
globlastp


WNU101_H272
spikemoss|gb165|FE439447
3797
6642
290
87.3
globlastp


WNU101_H273
pepper|12v1|SRR203275X23113D1_P1
3798
6643
290
86.7
globlastp


WNU101_H274
cannabis|12v1|SOLX00030512_T1
3799
6644
290
86.62
glotblastn


WNU101_H275
clover|gb162|BB917276_P1
3800
6645
290
86.6
globlastp


WNU101_H276
oat|11v1|CN820466_P1
3801
6646
290
85.9
globlastp


WNU101_H277
aquilegia|10v2|JGIAC008410_P1
3802
6647
290
85.2
globlastp


WNU101_H278
chlamydomonas|gb162|AV623913_P1
3803
6648
290
85.2
globlastp


WNU101_H279
maritime_pine|10v1|SRR073317S0022071_P1
3804
6649
290
84
globlastp


WNU101_H280
poppy|11v1|SRR096789.155178_P1
3805
6650
290
83.8
globlastp


WNU101_H281
spruce|11v1|SRR066110X1234
3806
6651
290
83.8
globlastp


WNU101_H282
silene|11v1|SRR096785X28894
3807
6652
290
83.1
globlastp


WNU101_H283
ostreococcus|gb162|XM001420623_P1
3808
6653
290
82.4
globlastp


WNU101_H284
scabiosa|11v1|SRR063723X106819
3809
6654
290
82.4
globlastp


WNU101_H285
spruce|11v1|SRR066110X156724
3810
6655
290
82.4
globlastp


WNU101_H286
fern|gb171|DK949164_T1
3811
6656
290
82.39
glotblastn


WNU101_H287
rhizophora|10v1|SRR005793S0032422
3812
6657
290
82.3
globlastp


WNU101_H288
cucumber|09v1|AM715146_P1
3813
6658
290
82.2
globlastp


WNU101_H289
cassava|09v1|DB928964_T1
3814
6659
290
81.55
glotblastn


WNU101_H290
tamarix|gb166|EH053611
3815
6660
290
81
globlastp


WNU101_H291
ginseng|10v1|GR874635_P1
3816
6661
290
80.3
globlastp


WNU101_H292
conyza|10v1|SRR035294S0005061_T1
3817
6662
290
80.28
glotblastn


WNU102_H1
pseudoroegneria|gb167|FF359580
3818
6663
291
95.8
globlastp


WNU102_H2
rye|12v1|BE705366
3819
6664
291
94.1
globlastp


WNU102_H3
rye|12v1|DRR001012.104065
3820
6665
291
93.3
globlastp


WNU102_H4
rye|12v1|DRR001012.20624
3821
6666
291
93.3
globlastp


WNU102_H5
rye|12v1|DRR001012.544828
3822
6665
291
93.3
globlastp


WNU103_H1
wheat|12v3|BQ236960
3823
6667
292
96.6
glotblastn


WNU103_H2
rye|12v1|DRR001012.118432
3824
6668
292
95.99
glotblastn


WNU103_H3
barley|12v1|AV932859_T1
3825
6669
292
95.83
glotblastn


WNU103_H4
wheat|12v3|BJ270163
3826
6670
292
95.52
glotblastn


WNU103_H5
wheat|12v3|BQ161926
3827
6671
292
95.52
glotblastn


WNU103_H6
wheat|12v3|BM137647
3828
6672
292
92.1
globlastp


WNU103_H7
brachypodium|12v1|BRADI1G16770_T1
3829
6673
292
89.37
glotblastn


WNU103_H8
oat|11v1|GO591581_P1
3830
6674
292
87.4
globlastp


WNU103_H9
wheat|12v3|BE497973
3831
6675
292
86.6
globlastp


WNU103_H10
foxtail_millet|11v3|PHY7SI028842M_T1
3832
6676
292
85.36
glotblastn


WNU103_H12
millet|10v1|EVO454PM008851_T1
3833
6677
292
84.9
glotblastn


WNU103_H13
sorghum|12v1|SB02G002970
3834
6678
292
84.28
glotblastn


WNU103_H14
maize|10v1|AI891217_T1
3835
6679
292
83.51
glotblastn


WNU104_H1
sorghum|12v1|SB02G039640
3836
6680
293
97.6
globlastp


WNU104_H2
sugarcane|10v1|CA091213
3837
6681
293
96.5
globlastp


WNU104_H3
switchgrass|gb167|DN141143
3838
6682
293
95
globlastp


WNU104_H4
foxtail_millet|11v3|PHY7SI030417M_P1
3839
6683
293
94.7
globlastp


WNU104_H5
millet|10v1|EVO454PM007449_P1
3840
6684
293
94.1
globlastp


WNU104_H6
switchgrass|gb167|FE635872
3841
6685
293
93.8
globlastp


WNU104_H30
switchgrass|12v1|DN141143_P1
3842
6686
293
93.5
globlastp


WNU104_H8
brachypodium|12v1|BRADI1G21310_P1
3843
6687
293
90.3
globlastp


WNU104_H11
wheat|12v3|AL829503
3844
6688
293
89.7
globlastp


WNU104_H12
wheat|12v3|BE499735
3845
6689
293
89.7
globlastp


WNU104_H13
oat|11v1|GR315509_T1
3846
6690
293
88.86
glotblastn


WNU104_H14
sugarcane|10v1|CA110280
3847
6691
293
87.4
globlastp


WNU104_H17
millet|10v1|EVO454PM003756_P1
3848
6692
293
86
globlastp


WNU104_H18
foxtail_millet|11v3|PHY7SI036041M_P1
3849
6693
293
85.8
globlastp


WNU104_H31
switchgrass|12v1|FL792794_P1
3850
6694
293
85.7
globlastp


WNU104_H19
switchgrass|gb167|FL763438
3851
6695
293
85.4
globlastp


WNU104_H20
brachypodium|12v1|BRADI1G60720_P1
3852
6696
293
85.1
globlastp


WNU104_H21
wheat|12v3|M94726
3853
6697
293
85.1
globlastp


WNU104_H22
oat|11v1|GO591794_P1
3854
6698
293
84.5
globlastp


WNU104_H23
rye|12v1|DRR001012.130878
3855
6699
293
84.5
globlastp


WNU104_H24
oil_palm|11v1|EL930266_P1
3856
6700
293
83
globlastp


WNU104_H25
amorphophallus|11v2|SRR089351X142963_P1
3857
6701
293
82.5
globlastp


WNU104_H26
grape|11v1|GSVIVT01009074001_P1
3858
6702
293
80.7
globlastp


WNU104_H27
poplar|10v1|DT524995
3859
6703
293
80.6
globlastp


WNU104_H27
poplar|13v1|DT524995_P1
3860
6703
293
80.6
globlastp


WNU104_H28
orange|11v1|CX076591_P1
3861
6704
293
80.1
globlastp


WNU104_H29
strawberry|11v1|DV440652
3862
6705
293
80
globlastp


WNU105_H1
foxtail_millet|11v3|PHY7SI030718M_P1
3863
6706
294
81.9
globlastp


WNU105_H2
switchgrass|12v1|FL765830_P1
3864
6707
294
81.8
globlastp


WNU105_H3
switchgrass|12v1|SRR187766.292736_T1
3865
6708
294
80.82
glotblastn


WNU1_H1
switchgrass|gb167|FL978666
3866
6709
297
92.67
glotblastn


WNU1_H2
sugarcane|10v1|CA074048
3867
6710
297
89.66
glotblastn


WNU1_H3
maize|10v1|CF029169_T1
3868
6711
297
88.79
glotblastn


WNU1_H4
rice|11v1|BI809550
3869
6712
297
85.34
glotblastn


WNU1_H9
switchgrass|12v1|FE613340_P1
3870
6713
297
82.9
globlastp


WNU1_H8
pseudoroegneria|gb167|FF342031
3871
6714
297
80.17
glotblastn


WNU10_H1
rye|12v1|DRR001012.118659
3872
6715
298
94.7
globlastp


WNU10_H4
wheat|12v3|CA595300
3873
6716
298
88.3
globlastp


WNU10_H9
maize|10v1|AI666068_T1
3874
6717
298
83.69
glotblastn


WNU10_H10
maize|10v1|CF057796_T1
3875
6718
298
83.1
glotblastn


WNU10_H12
rye|12v1|DRR001012.335122
3876
6719
298
81.93
glotblastn


WNU10_H13
barley|12v1|AJ464019_T1
3877
6720
298
80.94
glotblastn


WNU12_H10
switchgrass|gb167|FL691189
3878
6721
299
89.15
glotblastn


WNU12_H11
maize|10v1|AW056009_T1
3879
6722
299
88.89
glotblastn


WNU12_H12
oil_palm|11v1|EL687121_T1
3880
6723
299
81.65
glotblastn


WNU12_H13
oil_palm|11v1|ES273973_T1
3881
6724
299
80.41
glotblastn


WNU12_H14
banana|12v1|MAGEN2012018857_T1
3882
6725
299
80.1
glotblastn


WNU12_H15
phalaenopsis|11v1|SRR125771.10131_T1
3883
6726
299
80.1
glotblastn


WNU36_H6
rye|12v1|BE495705
3884
6727
301
89.5
globlastp


WNU36_H7
oat|11v1|CN816059_T1
3885
6728
301
81.71
glotblastn


WNU41_H1
pseudoroegneria|gb167|FF353522
3886
6729
302
86.3
globlastp


WNU90_H1
maize|10v1|AI621741_P1
3887
6730
304
86
globlastp


WNU90_H3
switchgrass|12v1|FL814028_P1
3888
6731
304
84.3
globlastp


WNU90_H2
foxtail_millet|11v3|PHY7SI000622M_P1
3889
6732
304
83.1
globlastp


WNU12_H3
wheat|12v3|CA639029
3890
6733
305
96
globlastp


WNU12_H2
wheat|12v3|BE412252
3891
6734
305
94.3
globlastp


WNU12_H1
rye|12v1|DRR001012.123825
3892
6735
305
93.6
globlastp


WNU12_H4
oat|11v1|GR341130_P1
3893
6736
305
92.1
globlastp


WNU12_H6
rice|11v1|AU033135
3894
6737
305
87.3
globlastp


WNU12_H5
sorghum|12v1|SB06G014710
3895
6738
305
86.3
globlastp


WNU12_H16
switchgrass|12v1|FL696652_P1
3896
6739
305
86
globlastp


WNU12_H9
millet|10v1|EVO454PM052099_P1
3897
6740
305
85.9
globlastp


WNU12_H8
foxtail_millet|11v3|PHY7SI009537M_P1
3898
6741
305
85.2
globlastp


WNU12_H7
sugarcane|10v1|CA067037
3899
6742
305
85
globlastp


WNU12_H17
switchgrass|12v1|FL691189_P1
3900
6743
305
84.9
globlastp


WNU14_H5
wheat|12v3|BE406669
3901
6744
306
87.4
globlastp


WNU14_H6
brachypodium|12v1|BRADI5G22780_P1
3902
6745
306
85.4
globlastp


WNU14_H7
wheat|12v3|BI750679
3903
6746
306
83.5
globlastp


WNU14_H8
rice|11v1|AU097232
3904
6747
306
81.3
globlastp


WNU21_H1
wheat|12v3|BG313700
3905
6748
307
97.8
globlastp


WNU21_H2
pseudoroegneria|gb167|FF343018
3906
6749
307
97.3
globlastp


WNU21_H3
rye|12v1|DRR001012.138574
3907
6750
307
97.3
globlastp


WNU21_H4
rye|12v1|DRR001012.10155
3908
6751
307
96.7
globlastp


WNU21_H5
rye|12v1|DRR001012.10485
3909
6751
307
96.7
globlastp


WNU21_H6
rye|12v1|DRR001013.189535
3910
6752
307
96.7
globlastp


WNU21_H7
rye|12v1|DRR001017.1025316
3911
6751
307
96.7
globlastp


WNU21_H8
wheat|12v3|CA737303
3912
6753
307
96.7
globlastp


WNU21_H11
rye|12v1|DRR001012.148105
3913
6754
307
96.2
globlastp


WNU21_H9
rye|12v1|DRR001012.182796
3914
6755
307
96.17
glotblastn


WNU21_H10
rye|12v1|DRR001012.20658
3915
6756
307
96.17
glotblastn


WNU21_H12
wheat|12v3|BQ166247
3916
6757
307
95.6
globlastp


WNU21_H13
wheat|12v3|BF200640
3917
6758
307
94
globlastp


WNU21_H14
leymus|gb166|CD809143_P1
3918
6759
307
91.8
globlastp


WNU21_H15
fescue|gb161|DT681490_P1
3919
6760
307
88.5
globlastp


WNU21_H16
brachypodium|12v1|BRADI3G26930_P1
3920
6761
307
86.9
globlastp


WNU27_H1
wheat|12v3|BE488391
3921
6762
308
95.9
globlastp


WNU27_H2
rye|12v1|BF145226
3922
6763
308
95.6
globlastp


WNU27_H3
wheat|12v3|BE412113
3923
6764
308
95.6
globlastp


WNU27_H4
rye|12v1|DRR001012.270703
3924
6765
308
88.76
glotblastn


WNU27_H5
brachypodium|12v1|BRADI3G56757_P1
3925
6766
308
88.4
globlastp


WNU27_H6
sorghum|12v1|SB04G038010
3926
6767
308
84.5
globlastp


WNU27_H7
foxtail_millet|11v3|PHY7SI019250M_P1
3927
6768
308
82.4
globlastp


WNU27_H11
switchgrass|12v1|FE641715_P1
3928
6769
308
82.1
globlastp


WNU27_H8
switchgrass|gb167|FE641715
3929
6769
308
82.1
globlastp


WNU27_H9
maize|10v1|AI920575_T1
3930
6770
308
81.4
glotblastn


WNU28_H1
rye|12v1|DRR001012.114780
3931
6771
309
88.9
globlastp


WNU28_H2
rye|12v1|DRR001012.48939
3932
6772
309
88.1
globlastp


WNU28_H3
rye|12v1|DRR001018.89399
3933
6773
309
87.4
globlastp


WNU28_H4
rye|12v1|DRR001017.104402
3934
6774
309
87.3
globlastp


WNU28_H5
rye|12v1|DRR001012.141928
3935
6775
309
86.7
globlastp


WNU28_H6,
wheat|12v3|CJ963327_P1
3936
6776
309
85.8
globlastp


WNU28_H7


WNU28_H6,
wheat|12v3|CJ963327
3937
—
309
85.8
globlastp


WNU28_H7


WNU28_H8
wheat|12v3|CA693523
3938
6777
309
85.1
globlastp


WNU28_H9
rye|12v1|DRR001018.49987
3939
6778
309
84.3
globlastp


WNU28_H12
wheat|12v3|CD872329
3940
6779
309
83
globlastp


WNU28_H15
wheat|12v3|BE404460
3941
6780
309
82.2
globlastp


WNU28_H16
barley|12v1|AV930429_P1
3942
6781
309
82.1
globlastp


WNU28_H17
barley|12v1|BF253983_P1
3943
6781
309
82.1
globlastp


WNU28_H13
barley|12v1|BI951355_P1
3944
6782
309
80.1
globlastp


WNU28_H21
rye|12v1|DRR001012.224627_P1
3945
6783
309
80
globlastp


WNU28_H22
rye|12v1|DRR001012.62536_P1
3946
6784
309
80
globlastp


WNU28_H23
rye|12v1|DRR001012.656377_P1
3947
6785
309
80
globlastp


WNU37_H6
brachypodium|12v1|BRADI4G04420_P1
3948
6786
311
96.3
globlastp


WNU37_H16
oil_palm|11v1|CN599820_P1
3949
6787
311
83.5
globlastp


WNU37_H17
oil_palm|11v1|SRR190698.114726_P1
3950
6787
311
83.5
globlastp


WNU37_H18
banana|12v1|MAGEN2012018569_P1
3951
6788
311
82.5
globlastp


WNU37_H20
cacao|10v1|CGD0019884_P1
3952
6789
311
81
globlastp


WNU37_H24
cassava|09v1|AI253959_P1
3953
6790
311
80.2
globlastp


WNU37_H27
prunus_mume|13v1|CV047022_T1
3954
6791
311
80.06
glotblastn


WNU61_H1
sorghum|12v1|SB10G006070
3955
6792
315
89.2
globlastp


WNU61_H2
maize|10v1|BM737452_P1
3956
6793
315
87.1
globlastp


WNU61_H3
rice|11v1|CI069708_P1
3957
6794
315
82.7
globlastp


WNU61_H4
rye|12v1|BE495393_T1
3958
6795
315
81.89
glotblastn


WNU61_H5
brachypodium|12v1|BRADI1G46900_P1
3959
6796
315
81.6
globlastp


WNU61_H6
wheat|12v3|AL822556_P1
3960
6797
315
80.3
globlastp


WNU63_H1
cenchrus|gb166|EB658691_P1
3961
6798
316
97.5
globlastp


WNU63_H2
foxtail_millet|11v3|PHY7SI012165M_T1
3962
6799
316
95.05
glotblastn


WNU63_H16
switchgrass|12v1|DN146418_P1
3963
6800
316
94.7
globlastp


WNU63_H3
switchgrass|gb167|DN146418
3964
6801
316
94.7
globlastp


WNU63_H4
millet|10v1|EVO454PM118273_P1
3965
6802
316
93.6
globlastp


WNU63_H5
maize|10v1|AI622273_P1
3966
6803
316
92.9
globlastp


WNU63_H6
sorghum|12v1|SB04G009630
3967
6804
316
92.9
globlastp


WNU63_H7
sorghum|12v1|SB01G016190
3968
6805
316
91.5
globlastp


WNU63_H8
maize|10v1|AI948046_P1
3969
6806
316
88.7
globlastp


WNU63_H9
rice|11v1|BM420094
3970
6807
316
86.3
globlastp


WNU63_H10
brachypodium|12v1|BRADI2G33020T2_P1
3971
6808
316
85.5
globlastp


WNU63_H11
rye|12v1|DRR001012.157809
3972
6809
316
84.5
globlastp


WNU63_H12
barley|12v1|BE215196_T1
3973
6810
316
84.1
glotblastn


WNU63_H13
rye|12v1|DRR001015.124656
3974
6811
316
84.1
glotblastn


WNU63_H14
wheat|12v3|CA661311
3975
6812
316
84.1
globlastp


WNU63_H15
pseudoroegneria|gb167|FF340909
3976
6813
316
80.92
glotblastn


WNU78_H1
millet|10v1|EVO454PM004199_P1
3977
6814
319
92.5
globlastp


WNU78_H17
switchgrass|12v1|DN146651_P1
3978
6815
319
89.7
globlastp


WNU78_H18
switchgrass|12v1|FE643273_P1
3979
6816
319
89.7
globlastp


WNU78_H2
switchgrass|gb167|DN146651
3980
6815
319
89.7
globlastp


WNU78_H3
switchgrass|gb167|FE643273
3981
6816
319
89.7
globlastp


WNU78_H4
foxtail_millet|11v3|PHY7SI007162M_P1
3982
6817
319
88.9
globlastp


WNU78_H5
sorghum|12v1|SB10G000890
3983
6818
319
88.9
globlastp


WNU78_H19
switchgrass|12v1|FL849979_P1
3984
6819
319
87.3
globlastp


WNU78_H6
rice|11v1|AU093254
3985
6820
319
85.7
globlastp


WNU78_H7
switchgrass|gb167|FL779241
3986
6821
319
84.76
glotblastn


WNU78_H8
brachypodium|12v1|BRADI3G13680_P1
3987
6822
319
84.1
globlastp


WNU78_H9
fescue|gb161|DT700845_P1
3988
6823
319
83.7
globlastp


WNU78_H10
barley|12v1|BI955393_T1
3989
6824
319
83.33
glotblastn


WNU78_H11
wheat|12v3|BJ208990
3990
6825
319
82.9
globlastp


WNU78_H12
wheat|12v3|BE444900
3991
6826
319
82.5
globlastp


WNU78_H13
brachypodium|12v1|BRADI1G51860_P1
3992
6827
319
82.1
globlastp


WNU78_H14
rye|12v1|DRR001012.33764
3993
6828
319
82.1
globlastp


WNU78_H15
wheat|12v3|CA632170
3994
6829
319
82.1
globlastp


WNU78_H16
oat|11v1|CN819016_P1
3995
6830
319
81.3
globlastp


WNU80_H1
foxtail_millet|11v3|PHY7SI002358M_P1
3996
6831
320
96.7
globlastp


WNU80_H2
millet|10v1|CD724968_P1
3997
6832
320
96.7
globlastp


WNU80_H3
sorghum|12v1|SB03G040810
3998
6833
320
96.7
globlastp


WNU80_H17
switchgrass|12v1|FE599977_P1
3999
6834
320
96.4
globlastp


WNU80_H4
switchgrass|gb167|FE599977
4000
6835
320
95.4
globlastp


WNU80_H5
sugarcane|10v1|CA079518
4001
6836
320
93.5
globlastp


WNU80_H6
rice|11v1|AU070592
4002
—
320
90.91
glotblastn


WNU80_H7
brachypodium|12v1|BRADI2G55950_P1
4003
6837
320
90.6
globlastp


WNU80_H8
pseudoroegneria|gb167|FF349822
4004
6838
320
90.3
globlastp


WNU80_H9
wheat|12v3|BE405865
4005
6839
320
90.3
globlastp


WNU80_H10
rye|12v1|DRR001012.116997
4006
6840
320
89.9
globlastp


WNU80_H11
rye|12v1|DRR001012.163420
4007
6840
320
89.9
globlastp


WNU80_H12
rye|12v1|BE587858
4008
6841
320
89.6
globlastp


WNU80_H13
rye|12v1|DRR001015.911252
4009
6842
320
89.6
globlastp


WNU80_H14
wheat|12v3|BE405262
4010
6843
320
89.6
globlastp


WNU80_H15
cenchrus|gb166|BM084416_T1
4011
6844
320
88.6
glotblastn


WNU80_H16
rye|12v1|DRR001012.173208
4012
6845
320
87.99
glotblastn


WNU81_H1
foxtail_millet|11v3|PHY7SI013223M_P1
4013
6846
321
93
globlastp


WNU81_H2
brachypodium|12v1|BRADI3G22387_P1
4014
6847
321
89.7
globlastp


WNU81_H3
rice|11v1|BM419293
4015
6848
321
89.1
globlastp


WNU81_H4
foxtail_millet|11v3|PHY7SI028859M_P1
4016
6849
321
85.4
globlastp


WNU81_H5
rice|11v1|CA754384
4017
6850
321
84.8
globlastp


WNU81_H6
sorghum|12v1|SB02G019450
4018
6851
321
84.7
globlastp


WNU81_H7
rye|12v1|DRR001012.105803
4019
6852
321
83.7
globlastp


WNU81_H8
maize|10v1|MZEAKHDA_P1
4020
6853
321
83.2
globlastp


WNU81_H10
brachypodium|12v1|BRADI4G27450_P1
4021
6854
321
82.7
globlastp


WNU81_H9
switchgrass|gb167|FE600070
4022
6855
321
82.65
glotblastn


WNU81_H11
wheat|12v3|BE412231
4023
6856
321
82.4
globlastp


WNU81_H12
wheat|12v3|BM136038
4024
6857
321
81.82
glotblastn


WNU82_H1
sugarcane|10v1|CA151757
4025
6858
322
90.9
globlastp


WNU82_H2
sorghum|12v1|SB03G042740
4026
6859
322
89
globlastp


WNU82_H4
foxtail_millet|11v3|PHY7SI003185M_P1
4027
6860
322
81.3
globlastp


WNU82_H5
switchgrass|gb167|DN144831
4028
6861
322
80.6
globlastp


WNU83_H11
switchgrass|12v1|FL769499_P1
4029
6862
323
95.5
globlastp


WNU83_H12
switchgrass|12v1|FL734741_P1
4030
6863
323
95
globlastp


WNU83_H2
foxtail_millet|11v3|PHY7SI022165M_T1
4031
6864
323
94.09
glotblastn


WNU83_H1
sorghum|12v1|SB09G003210
4032
6865
323
93.6
globlastp


WNU83_H3
brachypodium|12v1|BRADI2G36660_P1
4033
6866
323
89.7
globlastp


WNU83_H5
wheat|12v3|BE499001
4034
6867
323
89.1
globlastp


WNU83_H4
rice|11v1|AU091309
4035
6868
323
89.09
glotblastn


WNU83_H6
rice|11v1|GFXAC105262X7
4036
6869
323
87.5
globlastp


WNU83_H7
cenchrus|gb166|EB657522_P1
4037
6870
323
87.3
globlastp


WNU83_H8
rye|12v1|DRR001012.509710
4038
6871
323
86
globlastp


WNU83_H9
rye|12v1|DRR001012.585241
4039
6872
323
86
globlastp


WNU83_H10
switchgrass|gb167|FL734741
4040
6873
323
84.09
glotblastn


WNU98_H2
sorghum|12v1|SB04G026090
4041
6874
325
94.3
globlastp


WNU98_H4
foxtail_millet|11v3|PHY7SI035026M_P1
4042
6875
325
88.3
globlastp


WNU98_H5
foxtail_millet|11v3|EC612739_P1
4043
6876
325
87.6
globlastp


WNU98_H6
foxtail_millet|11v3|PHY7SI000916M_P1
4044
6877
325
87.4
globlastp


WNU98_H22
switchgrass|12v1|FE607028_P1
4045
6878
325
87.2
globlastp


WNU98_H7
switchgrass|gb167|FE607028
4046
6878
325
87.2
globlastp


WNU98_H23
switchgrass|12v1|FE608115_P1
4047
6879
325
87.1
globlastp


WNU98_H8
switchgrass|gb167|FE608115
4048
6879
325
87.1
globlastp


WNU98_H24
switchgrass|12v1|FE599520_P1
4049
6880
325
86.9
globlastp


WNU98_H10
rice|11v1|AA754522
4050
6881
325
85.2
globlastp


WNU98_H12
barley|12v1|AV833668_P1
4051
6882
325
82.7
globlastp


WNU98_H13
wheat|12v3|BJ268384
4052
6883
325
82.5
globlastp


WNU98_H14
rye|12v1|DRR001012.140848
4053
6884
325
81.2
globlastp


WNU98_H15
wheat|12v3|BE500326
4054
6885
325
81.2
globlastp


WNU98_H16
rye|12v1|DRR001012.130831
4055
6886
325
80.8
globlastp


WNU98_H19
rye|12v1|DRR001012.119066
4056
6887
325
80.3
globlastp


WNU98_H20
rye|12v1|BE494854
4057
6888
325
80.1
globlastp


WNU98_H25
barley|12v1|BG414863_P1
4058
6889
325
80
globlastp


WNU99_H1
maize|10v1|BM032584_P1
4059
6890
326
89.7
globlastp


WNU99_H3
switchgrass|12v1|FL698201_P1
4060
6891
326
88.2
globlastp


WNU99_H2
maize|10v1|AW520084_P1
4061
6892
326
88
globlastp


WNU99_H4
switchgrass|12v1|FE632329_P1
4062
6893
326
87.3
globlastp





Table 2: Provided are the homologous polypeptides and polynucleotides of the genes identified in Table 1 and of their cloned genes, which can increase nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber quality, fiber length, abiotic stress tolerance and/or water use efficiency of a plant. Homology was calculated as % of identity over the aligned sequences. The query sequences were polypeptide sequences SEQ ID NOs: 202-327 and polynucleotides SEQ ID NOs: 1-201) and the subject sequences are polypeptide sequences or polynucleotide sequences which were dynamically translated in all six reading frames identified in the database based on greater than 80% identity to the query polypeptide sequences.


“Polyp.” = polypeptide;


“Polyn.” - Polynucleotide.


Algor. = Algorithm,


“globlastp” - global homology using blastp;


“glotblastn” - global homology using tblastn.


“Hom.” - homologous.






The output of the functional genomics approach described herein is a set of genes highly predicted to improve nitrogen use efficiency, fertilizer use efficiency, yield, seed yield, growth rate, vigor, biomass, oil content, fiber yield, fiber length, fiber quality, abiotic stress tolerance and/or water use efficiency of a plant by increasing their expression.
Although each gene is predicted to have its own impact, modifying the mode of expression of more than one gene or gene product (RNA, polypeptide) is expected to provide an additive or synergistic effect on the desired trait (e.g., nitrogen use efficiency, fertilizer use efficiency, yield, growth rate, vigor, biomass, oil content, abiotic stress tolerance and/or water use efficiency of a plant). Altering the expression of each gene described here alone or of a set of genes together increases the overall yield and/or other agronomic important traits, hence expects to increase agricultural productivity.
Example 3
Production of Arabidopsis Transcriptome and High Throughput Correlation Analysis Using 44K Arabidopsis Oligonucleotide Micro-Array
In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Arabidopsis oligonucleotide micro-array, produced by Agilent Technologies [chem (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 Arabidopsis genes and transcripts. To define correlations between the levels of RNA expression with NUE, yield components or vigor related parameters various plant characteristics of 14 different Arabidopsis ecotypes were analyzed. Among them, ten ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
Analyzed Arabidopsis tissues—Two tissues of plants [leaves and stems] growing at two different nitrogen fertilization levels (1.5 mM Nitrogen or 6 mM Nitrogen) were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized Table 3 below.







TABLE 3







Arabidopsis transcriptome experimental sets










Expression Set
Set ID







Leaves at 1.5 mM Nitrogen fertilization
1



Leaves at 6 mM Nitrogen fertilization 
2



Stems at 1.5 mM Nitrogen fertilization 
3



Stem at 6 mM Nitrogen fertilization
4







Table 3.






Arabidopsis yield components and vigor related parameters under different nitrogen fertilization levels assessment—10 Arabidopsis accessions in 2 repetitive plots each containing 8 plants per plot were grown at greenhouse. The growing protocol used was as follows: surface sterilized seeds were sown in Eppendorf tubes containing 0.5× Murashige-Skoog basal salt medium and grown at 23° C. under 12-hour light and 12-hour dark daily cycles for 10 days. Then, seedlings of similar size were carefully transferred to pots filled with a mix of perlite and peat in a 1:1 ratio. Constant nitrogen limiting conditions were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO3, supplemented with 2 mM CaCl2, 1.25 mM KH2PO4, 1.50 mM MgSO4, 5 mM KCl, 0.01 mM H3BO3 and microelements, while normal irrigation conditions was achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO3, supplemented with 2 mM CaCl2, 1.25 mM KH2PO4, 1.50 mM MgSO4, 0.01 mM H3BO3 and microelements. To follow plant growth, trays were photographed the day nitrogen limiting conditions were initiated and subsequently every 3 days for about 15 additional days. Rosette plant area was then determined from the digital pictures. ImageJ software was used for quantifying the plant size from the digital pictures [rsb (dot) info (dot) nih (dot) gov/ij/] utilizing proprietary scripts designed to analyze the size of rosette area from individual plants as a function of time. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]). Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Data parameters collected are summarized in Table 4, hereinbelow.







TABLE 4







Arabidopsis correlated parameters (vectors)








Correlated parameter with
Correlation ID











N_1.5 mM 1000 Seeds weight [gr]
1


N 1.5 mM Biomass reduction compared to 6 mM [gr]
2


N 1.5 mM DW/SPAD [gr./SPAD unit]
3


N 1.5 mM Dry Weight [gr]
4


N 1.5 mM Harvest Index
5


N 1.5 mM Leaf Blade Area 10 day [cm2]
6


N 1.5 mM Leaf Number 10 day
7


N 1.5 mM GR of Rosette Area 3 day [cm2/day]
8


N 1.5 mM Rosette Area 10 day [cm2]
9


N 1.5 mM Rosette Area 8 day [cm2]
10


N 1.5 mM SPAD/DW [SPAD unit/gr.]
11


N 1.5 mM Seed Yield [gr]
12


N 1.5 mM Seed yield reduction compared to 6 mM [gr]
13


N 1.5 mM Spad/FW [SPAD unit/gr.]
14


N 1.5 mM seed yield/spad [gr./SPAD unit]
15


N 1.5 mM seed yield per leaf blead [gr./cm2]
16


N 1.5 mM seed yield per rossete area day 10 [gr./cm2]
17


N 1.5 mM t50 Flowering [days]
18


N 6 mMDW/SPAD [gr./SPAD unit]
19


N 6 mMSpad/FW [SPAD unit/gr.]
20


N 6 mM 10 day 00 Seeds weight [gr]
21


N 6 mM Dry Weight [gr]
22


N 6 mM Harvest Index
23


N 6 mM Leaf Blade Area 10 day [cm2]
24


N 6 mM Leaf Number 10 day
25


N 6 mM GR of Rosette Area 3 day [cm2/day]
26


N 6 mM Rosette Area 10 day [cm2]
27


N 6 mM Rosette Area 8 day [cm2]
28


N 6 mM Seed Yield [gr]
29


N 6 mM Seed yield/N unit [gr./SPAD unit]
30


N 6 mM seed yield/rossete area day 10 day [gr./cm2]
31


N 6 mM seed yield/leaf blade [gr./cm2]
32


N 6 mM spad/DW [SPAD unit/gr.]
33


N 6 mM t50 Flowering (days)
34





Table 4.


“N” = Nitrogen at the noted concentrations;


“gr.” = grams;


“SPAD” = chlorophyll levels;


“t50” = time where 50% of plants flowered;


“gr./SPAD unit” = plant biomass expressed in grams per unit of nitrogen in plant measured by SPAD.


“DW” = plant dry weight;


“N level/DW” = plant Nitrogen level measured in SPAD unit per plant biomass [gr.];


“DW/N level” = plant biomass per plant [gr.]/SPAD unit;






Assessment of NUE, yield components and vigor-related parameters—Ten Arabidopsis ecotypes were grown in trays, each containing 8 plants per plot, in a greenhouse with controlled temperature conditions for about 12 weeks. Plants were irrigated with different nitrogen concentration as described above depending on the treatment applied. During this time, data was collected documented and analyzed. Most of chosen parameters were analyzed by digital imaging.
Digital Imaging—Greenhouse Assay
An image acquisition system, which consists of a digital reflex camera (Canon EOS 400D) attached with a 55 mm focal length lens (Canon EF-S series) placed in a custom made Aluminum mount, was used for capturing images of plants planted in containers within an environmental controlled greenhouse. The image capturing process was repeated every 2-3 days starting at day 9-12 till day 16-19 (respectively) from transplanting.
An image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at Hypertext Transfer Protocol://rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).
Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, leaf blade area, Rosette diameter and area.
Vegetative growth rate: the growth rate (GR) of leaf blade area (Formula XII), leaf number (Formula VIII), rosette area (Formula IX), rosette diameter (Formula X), plot coverage (Formula XI) and Petiole Relative Area (Formula XXV) were calculated using the indicated Formulas as described above.
Seed yield and 1000 seeds weight—At the end of the experiment all seeds from all plots were collected and weighed in order to measure seed yield per plant in terms of total seed weight per plant (gr.). For the calculation of 1000 seed weight, an average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.
Dry weight and seed yield—At the end of the experiment, plant were harvested and left to dry at 30° C. in a drying chamber. The biomass was separated from the seeds, weighed and divided by the number of plants. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber.
Harvest Index—The harvest index was calculated using Formula XV as described above.
T50 days to flowering—Each of the repeats was monitored for flowering date.
Days of flowering was calculated from sowing date till 50% of the plots flowered.
Plant nitrogen level—The chlorophyll content of leaves is a good indicator of the nitrogen plant status since the degree of leaf greenness is highly correlated to this parameter. Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot. Based on this measurement, parameters such as the ratio between seed yield per nitrogen unit [seed yield/N level=seed yield per plant [gr.]/SPAD unit], plant DW per nitrogen unit [DW/N level=plant biomass per plant [gr.]/SPAD unit], and nitrogen level per gram of biomass [N level/DW=SPAD unit/plant biomass per plant (gr.)] were calculated.
Percent of seed yield reduction—measures the amount of seeds obtained in plants when grown under nitrogen-limiting conditions compared to seed yield produced at normal nitrogen levels expressed in %.
Experimental Results
10 different Arabidopsis accessions (ecotypes) were grown and characterized for 37 parameters as described above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Table 5 below. Subsequent correlation analysis between the various transcriptome sets (Table 3) and the measured parameters was conducted. Following, the results were integrated to the database.







TABLE 5







Measured parameters in Arabidopsis accessions

















Corr.












ID/
Line-
Line-
Line-
Line-
Line-
Line-
Line-
Line-
Line-
Line-


Line
1
2
3
4
5
6
7
8
9
10




















 1
0.016
0.016
0.018
0.014
0.022
0.015
0.014
0.022
0.019
0.018


 2
60.746
76.706
78.560
78.140
78.641
73.192
83.068
77.190
70.120
62.972


 4
0.164
0.124
0.082
0.113
0.124
0.134
0.106
0.148
0.171
0.184


 5
0.192
0.203
0.295
0.085
0.071
0.241
0.179
0.081
0.079
0.031


 6
0.335
0.266
0.374
0.387
0.370
0.386
0.350
0.379
0.307
0.373


 7
6.875
7.313
7.313
7.875
7.750
7.625
7.188
8.625
5.929
7.938


 8
0.631
0.793
0.502
0.491
0.720
0.825
0.646
0.668
0.636
0.605


 9
1.430
1.325
1.766
1.971
1.832
1.818
1.636
1.996
1.150
1.754


10
0.760
0.709
1.061
1.157
1.000
0.910
0.942
1.118
0.638
0.996


12
0.032
0.025
0.023
0.010
0.009
0.032
0.019
0.012
0.014
0.006


13
72.559
84.701
78.784
87.996
92.622
76.710
81.938
91.301
85.757
91.820


16
0.095
0.095
0.063
0.026
0.024
0.084
0.059
0.034
0.044
0.015


17
0.022
0.019
0.014
0.005
0.005
0.018
0.013
0.007
0.012
0.003


18
15.967
20.968
14.836
24.708
23.698
18.059
19.488
23.568
21.888
23.566


21
0.015
0.017
0.018
0.012
0.016
0.015
0.014
0.017
0.016
0.016


22
0.419
0.531
0.382
0.518
0.579
0.501
0.628
0.649
0.573
0.496


23
0.280
0.309
0.284
0.158
0.206
0.276
0.171
0.212
0.166
0.136


24
0.342
0.315
0.523
0.449
0.430
0.497
0.428
0.509
0.405
0.430


25
6.250
7.313
8.063
8.750
8.750
8.375
7.125
9.438
6.313
8.063


26
0.689
1.024
0.614
0.601
0.651
0.676
0.584
0.613
0.515
0.477


27
1.406
1.570
2.673
2.418
2.142
2.474
1.965
2.721
1.642
2.207


28
0.759
0.857
1.477
1.278
1.095
1.236
1.094
1.410
0.891
1.224


29
0.116
0.165
0.108
0.082
0.119
0.139
0.107
0.138
0.095
0.068


31
0.082
0.106
0.041
0.034
0.056
0.057
0.055
0.051
0.058
0.031


32
0.339
0.526
0.207
0.183
0.277
0.281
0.252
0.271
0.235
0.158


34
16.371
20.500
14.635
24.000
23.595
15.033
19.750
22.887
18.804
23.378


 3
0.006


0.004

0.005


0.006
0.006


11
167.300


241.061

194.977


169.343
157.823


14
45.590


42.110

53.110


67.000
28.150


15
0.001


0.000

0.001


0.000
0.000


19
0.019


0.018

0.015


0.015
0.028


20
22.490


28.270

33.320


39.000
17.640


30
0.004


0.003

0.005


0.003
0.002


33
53.705


54.625

66.479


68.054
35.548





Table 5. Provided are the measured parameters under various treatments in various ecotypes (Arabidopsis accessions).













TABLE 6







Correlation between the expression level of WNU selected genes of some


embodiments of the invention in various tissues and the phenotypic performance


under normal or low nitrogen fertilization conditions across Arabidopsis accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





WNU5
0.704
3.44E−02
4
 4
WNU5
0.826
3.21E−03 
3
17


WNU5
0.801
5.31E−03
3
16
WNU5
0.762
1.05E−02 
3
12


WNU7
0.709
2.18E−02
1
34
WNU7
0.730
1.65E−02 
3
31





Table 6. “Corr. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 4
Production of Arabidopsis Transcriptome and High Throughput Correlation Analysis of Yield, Biomass and/or Vigor Related Parameters Using 44K Arabidopsis Full Genome Oligonucleotide Micro-Array
To produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized an Arabidopsis thaliana oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 40,000 A. thaliana genes and transcripts designed based on data from the TIGR ATH1 v.5 database and Arabidopsis MPSS (University of Delaware) databases. To define correlations between the levels of RNA expression and yield, biomass components or vigor related parameters, various plant characteristics of 15 different Arabidopsis ecotypes were analyzed. Among them, nine ecotypes encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
Analyzed Arabidopsis tissues—Five tissues at different developmental stages including root, leaf, flower at anthesis, seed at 5 days after flowering (DAF) and seed at 12 DAF, representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 7 below.







TABLE 7







Tissues used for Arabidopsis transcriptome expression sets










Expression Set
Set ID







Leaf
1



Root
2



Seed 5 DAF
3



Flower
4



Seed 12 DAF
5







Table 7: Provided are the identification (ID) letters of each of the Arabidopsis expression sets (A-E).



DAF = days after flowering.






Yield components and vigor related parameters assessment—Eight out of the nine Arabidopsis ecotypes were used in each of 5 repetitive blocks (named A, B, C, D and E), each containing 20 plants per plot. The plants were grown in a greenhouse at controlled conditions in 22° C., and the N:P:K fertilizer (20:20:20; weight ratios) [nitrogen (N), phosphorus (P) and potassium (K)] was added. During this time data was collected, documented and analyzed. Additional data was collected through the seedling stage of plants grown in a vertical grown transparent agar plates. Most of chosen parameters were analyzed by digital imaging.
Digital imaging in plantlets analysis—A laboratory image acquisition system was used for capturing images of plantlets sawn in square agar plates. The image acquisition system consists of a digital reflex camera (Canon EOS 300D) attached to a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which included 4 light units (4×150 Watts light bulb) and located in a darkroom.
Digital imaging in Greenhouse—The image capturing process was repeated every 3-4 days starting at day 7 till day 30. The same camera attached to a 24 mm focal length lens (Canon EF series), placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The white tubs were square shape with measurements of 36×26.2 cm and 7.5 cm deep. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows. This process was repeated every 3-4 days for up to 30 days.
An image analysis system was used, which consists of a personal desktop computer (Intel P43.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing program, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 6 Mega Pixels (3072×2048 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, area, perimeter, length and width. On day 30, 3-4 representative plants were chosen from each plot of blocks A, B and C. The plants were dissected, each leaf was separated and was introduced between two glass trays, a photo of each plant was taken and the various parameters (such as leaf total area, laminar length etc.) were calculated from the images. The blade circularity was calculated as laminar width divided by laminar length.
Root analysis—During 17 days, the different ecotypes were grown in transparent agar plates. The plates were photographed every 3 days starting at day 7 in the photography room and the roots development was documented (see examples in FIGS. 3A-F). The growth rate of roots was calculated according to Formula XXVIII (above).
Vegetative growth rate analysis—was calculated according to Formulas VII-XIII above. The analysis was ended with the appearance of overlapping plants.
For comparison between ecotypes the calculated rate was normalized using plant developmental stage as represented by the number of true leaves. In cases where plants with 8 leaves had been sampled twice (for example at day 10 and day 13), only the largest sample was chosen and added to the Anova comparison.
Seeds in siliques analysis—On day 70, 15-17 siliques were collected from each plot in blocks D and E. The chosen siliques were light brown color but still intact. The siliques were opened in the photography room and the seeds were scatter on a glass tray, a high resolution digital picture was taken for each plot. Using the images the number of seeds per silique was determined.
Seeds average weight—At the end of the experiment all seeds from plots of blocks A-C were collected. An average weight of 0.02 grams was measured from each sample, the seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.
Oil percentage in seeds—At the end of the experiment all seeds from plots of blocks A-C were collected. Columbia seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingler's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package.
Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.
Dry weight and seed yield—On day 80 from sowing, the plants from blocks A-C were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot was separated, measured and divided by the number of plants. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant=total seed weight per plant (gr).
Oil yield—The oil yield was calculated using Formula XXIX above.
Harvest Index (seed)—The harvest index was calculated using Formula XV (described above).
Experimental Results
Nine different Arabidopsis ecotypes were grown and characterized for 18 parameters (named as vectors). Table 8 describes the Arabidopsis correlated parameters. The average for each of the measured parameter was calculated using the JMP software (Table 9) and a subsequent correlation analysis was performed (Table 10). Results were then integrated to the database.







TABLE 8







Arabidopsis correlated parameters (vectors)










Correlated parameter with
Correlation ID














Blade circularity
1



Dry matter per plant [gr]
2



Harvest Index
3



Lamina length [cm]
4



Lamina width [cm]
5



Leaf width/length
6



Oil % per seed [%]
7



Oil yield per plant [mg]
8



Seeds per Pod
9



Silique length [cm]
10



Total Leaf Area per plant [cm2]
11



Vegetative growth rate [cm2/day]
12



fresh weight [gr]
13



relative root growth [cm/day]
14



root length day 13 [cm]
15



root length day 7 [cm]
16



seed weight [gr]
17



seed yield per plant [gr]
18







Table 8. Provided are the Arabidopsis correlated parameters (correlation ID Nos. 1-18).



Abbreviations:



Cm = centimeter(s);



gr. = gram(s);



mg = milligram(s).






The characterized values are summarized in Table 9 below.







TABLE 9







Measured parameters in Arabidopsis ecotypes
















Corr











ID./











Line
Line-1
Line-2
Line-3
Line-4
Line-5
Line-6
Line-7
Line-8
Line-9



















 1
0.509
0.481
0.450
0.370
0.501
0.376
0.394
0.491
0.409


 2
0.640
1.270
1.050
1.280
1.690
1.340
0.810
1.210
1.350


 3
0.530
0.350
0.560
0.330
0.370
0.320
0.450
0.510
0.410


 4
2.767
3.544
3.274
3.785
3.690
4.597
3.877
3.717
4.149


 5
1.385
1.697
1.460
1.374
1.828
1.650
1.510
1.817
1.668


 6
0.353
0.288
0.316
0.258
0.356
0.273
0.305
0.335
0.307


 7
34.420
31.190
38.050
27.760
35.490
32.910
31.560
30.790
34.020


 8
118.630
138.730
224.060
116.260
218.270
142.110
114.150
190.060
187.620


 9
45.440
53.470
58.470
35.270
48.560
37.000
39.380
40.530
25.530


10
1.060
1.260
1.310
1.470
1.240
1.090
1.180
1.180
1.000


11
46.860
109.890
58.360
56.800
114.660
110.820
88.490
121.790
93.040


12
0.313
0.378
0.484
0.474
0.425
0.645
0.430
0.384
0.471


13
1.510
3.607
1.935
2.082
3.556
4.338
3.467
3.479
3.710


14
0.631
0.664
1.176
1.089
0.907
0.774
0.606
0.701
0.782


15
4.419
8.530
5.621
4.834
5.957
6.372
5.649
7.060
7.041


16
0.937
1.759
0.701
0.728
0.991
1.163
1.284
1.414
1.251


17
0.020
0.023
0.025
0.034
0.020 
0.026
0.020
0.023
0.024


18
0.340
0.440
0.590
0.420
0.610
0.430
0.360 
0.620
0.550





Table 9. Provided are the values of each of the parameters (as described above) measured in Arabidopsis accessions (line) under normal growth conditions. Growth conditions are specified in the experimental procedure section.













TABLE 10







Correlation between the expression level of WNU selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal or low nitrogen


fertilization conditions across Arabidopsis accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





WNU5
0.746
5.41E−02
3
16
WNU6
0.788
3.55E−02
3
 3


WNU7
0.728
6.39E−02
3
 9
WNU7
0.824
2.26E−02
3
10


WNU7
0.738
5.84E−02
3
18
WNU7
0.770
4.28E−02
3
 8


WNU7
0.862
1.27E−02
3
14
WNU7
0.704
5.12E−02
5
 5





Table 10. “Corr. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 5
Production of Barley Transcriptome and High Throughput Correlation Analysis Using 44K Barley Oligonucleotide Micro-Array
In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 47,500 Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 25 different Barley accessions were analyzed. Among them, 13 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
Analyzed Barley Tissues—Five tissues at different developmental stages [meristem, flower, booting spike, stem, flag leaf], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 11 below.







TABLE 11







Barley transcriptome expression sets










Expression Set
Set ID







booting spike
1



flowering spike 
2



meristem
3



Stem
4







Table 11.






Barley yield components and vigor related parameters assessment—25 Barley accessions in 4 repetitive blocks (named A, B, C, and D), each containing 4 plants per plot were grown at net house. Plants were phenotyped on a daily basis following the standard descriptor of barley (Table 12, below). Harvest was conducted while 50% of the spikes were dry to avoid spontaneous release of the seeds. Plants were separated to the vegetative part and spikes, of them, 5 spikes were threshed (grains were separated from the glumes) for additional grain analysis such as size measurement, grain count per spike and grain yield per spike. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).







TABLE 12







Barley standard descriptors










Trait
Parameter
Range
Description





Growth habit
Scoring
1-9
Prostrate (1) or Erect (9)


Hairiness of
Scoring
P (Presence)/
Absence (1) or Presence (2)


basal leaves

A (Absence)



Stem
Scoring
1-5
Green (1), Basal only or


pigmentation


Half or more (5)


Days to
Days

Days from sowing to


Flowering


emergence of awns


Plant height
Centimeter 

Height from ground level



(cm)

to top of the longest spike





excluding awns


Spikes per plant
Number

Terminal Counting


Spike length
Centimeter 

Terminal Counting 5 spikes



(cm)

per plant


Grains per spike
Number

Terminal Counting 5 spikes





per plant


Vegetative dry
Gram

Oven-dried for 48 hours at


weight


70° C.


Spikes dry
Gram

Oven-dried for 48 hours at


weight


30° C.





Table 12.






Grains per spike—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total number of grains from 5 spikes that were manually threshed was counted. The average grain per spike was calculated by dividing the total grain number by the number of spikes.
Grain average size (cm)—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were scanned and images were analyzed using the digital imaging system. Grain scanning was done using Brother scanner (model DCP-135), at the 200 dpi resolution and analyzed with Image J software. The average grain size was calculated by dividing the total grain size by the total grain number.
Grain average weight (mgr)—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were counted and weight. The average weight was calculated by dividing the total weight by the total grain number.
Grain yield per spike (gr)—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The total grains from 5 spikes that were manually threshed were weight. The grain yield was calculated by dividing the total weight by the spike number.
Spike length analysis—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The five chosen spikes per plant were measured using measuring tape excluding the awns.
Spike number analysis—At the end of the experiment (50% of the spikes were dry) all spikes from plots within blocks A-D were collected. The spikes per plant were counted.
Growth habit scoring—At the growth stage 10 (booting), each of the plants was scored for its growth habit nature. The scale that was used was 1 for prostate nature till 9 for erect.
Hairiness of basal leaves—At the growth stage 5 (leaf sheath strongly erect; end of tillering), each of the plants was scored for its hairiness nature of the leaf before the last. The scale that was used was 1 for prostate nature till 9 for erect.
Plant height—At the harvest stage (50% of spikes were dry) each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns.
Days to flowering—Each of the plants was monitored for flowering date. Days of flowering was calculated from sowing date till flowering date.
Stem pigmentation—At the growth stage 10 (booting), each of the plants was scored for its stem color. The scale that was used was 1 for green till 5 for full purple.
Vegetative dry weight and spike yield—At the end of the experiment (50% of the spikes were dry) all spikes and vegetative material from plots within blocks A-D were collected. The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.
Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;
Spike yield per plant=total spike weight per plant (gr) after drying at 30° C. in oven for 48 hours.
Harvest index (for barley)—The harvest index was calculated using Formula XVIII (described above).







TABLE 13







Barley correlated parameters (vectors)










Correlated parameter with
Correlation ID














Grain weight [mg]
1



Grains Size [mm2]
2



Grains per spike
3



Growth habit [scores 1-9]
4



Hairiness of basal leaves [scoring 1-2]
5



Plant height [cm]
6



Seed Yield of 5 Spikes [gr]
7



Spike length [cm]
8



Spikes per plant
9



Stem pigmentation [scoring 1-5]
10



Vegetative dry weight [gr]
11



days to flowering [days]
12







Table 13.






Experimental Results
13 different Barley accessions were grown and characterized for 13 parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Table 14 below. Subsequent correlation analysis between the various transcriptome sets (Table 11) and the average parameters, was conducted. Follow, results were integrated to the database.







TABLE 14







Measured parameters of correlation Ids in Barley accessions




















Cor.















ID./L
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13























 1
35.0
28.1
28.8
17.9
41.2
29.7
35.0
20.6
37.1
25.2





 2
0.3
0.2
0.2
0.2
0.3
0.3
0.3
0.2
0.3
0.2





 3
20.2
18.0 
17.3
17.7
14.5
16.8
14.1
21.5
13.4 
12.1





 4
2.6
2.0
1.9
3.2
4.3
2.7
3.5
3.0
2.5
3.6





 5
1.5
1.3
1.7
1.1
1.4
1.7
1.2
1.0
1.6
1.3





 6
134.3
130.5
138.8
114.6
127.8
129.4
121.6
126.8
121.4
103.9





 7
3.6
2.5
2.6
1.6
3.0
2.5
2.6
2.3
2.7
1.5





 8
12.0
10.9
11.8
9.9
11.7
11.5
11.2
11.1
10.2
8.9





10
1.1
2.5
1.7
1.8
2.3
2.3
2.2
2.3
3.1
1.7





11
78.9
66.1
68.5
53.4
68.3
74.2
58.3
62.2
68.3
35.4





12
62.4
64.1
65.2
58.9
63.0
70.5
60.9
58.1
60.4
52.8





 1
35.0
28.1
28.8
17.9
41.2
29.7
35.0
20.6
37.1
25.2
27.5
29.6
19.6


 2
0.3
0.2
0.2
0.2
0.3
0.3
0.3
0.2
0.3
0.2
0.2
0.3
0.2


 3
20.2
18.0
17.3
17.7
14.5
16.8
14.1
21.5
13.4
12.1
12.1
15.3
17.1


 4
2.6
2.0
1.9
3.2
4.3
2.7
3.5
3.0
2.5
3.6
3.7
3.5
3.0


 5
1.5
1.3
1.7
1.1
1.4
1.7
1.2
1.0
1.6
1.3
1.2
1.1
1.2


 6
134.3
130.5
138.8
114.6
127.8
129.4
121.6
126.8
121.4
103.9
99.8
118.4
117.2


 7
3.6
2.5
2.6
1.6
3.0
2.5
2.6
2.3
2.7
1.5
1.7
2.4
1.7


 8
12.0
10.9
11.8
9.9
11.7
11.5
11.2
11.1
10.2
8.9
8.6
10.5
9.8


 9
48.8
48.3
37.4
61.9
33.3
41.7
40.6
62.0
50.6
40.0
49.3
43.1
51.4


10
1.1
2.5
1.7
1.8
2.3
2.3
2.2
2.3
3.1
1.7
1.8
1.6
2.2


11
78.9
66.1
68.5
53.4
68.3
74.2
58.3
62.2
68.3
35.4
38.3
56.1
42.7


12
62.4
64.1
65.2
58.9
63.0
70.5
60.9
58.1
60.4
52.8
53.0
64.6
56.0





Table 14. Provided are the values of each of the parameters (as described above) measured in barley accessions (line, “L”) under normal growth conditions. Growth conditions are specified in the experimental procedure section.













TABLE 15







Correlation between the expression level of WNU selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal fertilization


conditions across barley accessions
















Gene


Exp.
Cor.
Gene


Exp. 
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB446
0.748
2.05E−02
1
 3
LYM82
0.830
5.62E−03
3
 6


LYM82
0.785
4.24E−03
3
 8
LYM82
0.815
2.22E−03
3
 7


LYM82
0.864
6.09E−04
3
11
LYM82
0.888
1.40E−03
3
12


WNU10
0.721
4.36E−02
2
 4
WNU10
0.894
2.72E−03
3
 9


WNU11
0.711
4.79E−02
1
 9
WNU11
0.758
1.79E−02
3
 2


WNU11
0.749
7.95E−03
3
 1
WNU12
0.862
2.83E−03
1
 2


WNU12
0.812
7.80E−03
1
 1
WNU12
0.808
1.52E−02
3
 9


WNU13
0.788
1.16E−02
1
 2
WNU13
0.826
6.06E−03
1
 1


WNU14
0.809
2.56E−03
3
 9
WNU15
0.784
2.14E−02
1
 9


WNU16
0.811
4.43E−03
2
 6
WNU16
0.753
3.12E−02
2
12


WNU16
0.766
9.84E−03
2
 5
WNU16
0.843
4.35E−03
3
 2


WNU16
0.869
2.38E−03
3
 1
WNU17
0.833
1.02E−02
2
 3


WNU17
0.796
1.02E−02
3
11
WNU17
0.765
1.64E−02
3
12


WNU18
0.882
1.64E−03
1
 2
WNU18
0.866
2.52E−03
1
 1


WNU19
0.807
1.54E−02
2
 4
WNU20
0.768
9.43E−03
2
 4


WNU20
0.744
3.45E−02
3
 9
WNU23
0.930
2.83E−04
1
 5


WNU26
0.901
8.96E−04
3
 4
WNU27
0.733
2.47E−02
1
 5


WNU29
0.810
8.14E−03
1
 5
WNU29
0.840
4.61E−03
3
 2


WNU29
0.802
9.37E−03
3
 1
WNU31
0.768
9.48E−03
2
 2


WNU31
0.725
4.18E−02
2
 1
WNU31
0.759
2.89E−02
2
 7


WNU33
0.767
2.63E−02
2
 5
WNU33
0.790
3.80E−03
3
 2


WNU34
0.833
1.02E−02
3
 9
WNU35
0.756
3.02E−02
2
 4


WNU35
0.887
3.32E−03
3
 9
WNU36
0.723
1.19E−02
3
 9


WNU37
0.727
4.08E−02
1
 9
WNU38
0.705
2.28E−02
2
 4


WNU39
0.800
9.62E−03 
1
 7
WNU39
0.763
2.77E−02
3
 9


WNU39
0.712
3.14E−02 
3
 3
WNU40
0.707
3.34E−02
1
 2


WNU40
0.800
1.71E−02 
2
 5
WNU40
0.728
2.62E−02
3
12


WNU44
0.809
8.22E−03
1
 2
WNU44
0.827
5.92E−03
1
 1


WNU44
0.786
1.21E−02
1
 7
WNU44
0.757
1.83E−02
1
 5


WNU44
0.827
1.12E−02 
3
 9
WNU8
0.825
1.18E−02
2
 4


WNU8
0.776
1.39E−02
3
12
WNU9
0.852
7.23E−03
2
10





Table 15. “Corr. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 6
Production of Barley Transcriptome and High Throughput Correlation Analysis Using 60K Barley Oligonucleotide Micro-Array
In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Barley oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K Barley genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 15 different Barley accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
15 Barley accessions in 5 repetitive blocks, each containing 5 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth, plants were irrigated 2-3 times a week, and fertilization was given in the first 1.5 months of the growth period) or under low Nitrogen (80% percent less Nitrogen) or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment).
Analyzed Barley tissues Five tissues at different developmental stages [leaf, stem, root tip and adventitious root, flower], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 16 below.







TABLE 16







Barley transcriptome expression sets 


of vegetative developmental stage










Expression Set
Set ID







adv root T3 low N
1



adv root T3 normal
2



leaf T3 low N
3



leaf T3 low normal
4



root tip T3 low N
5



root tip T3 normal
6







Table 16. Provided are the barley transcriptome expression sets.













TABLE 17







Barley transcriptome expression sets of 


reproductive developmental stage










Expression Set
Set ID







booting spike: low N:
1



booting spike: normal:
2



leaf: low N:
3



leaf: normal:
4



stem: low N:
5



stem: normal:
6







Table 17. Provided are the barley transcriptome expression sets.






Barley yield components and vigor related parameters assessment—Plants were phenotyped on a daily basis following the parameters listed in Table 18 below. Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Grain yield (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.
Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.
Spike number analysis—The spikes per plant were counted.
Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.
Spike weight—The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.
Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.
Spikelet per spike=number of spikelets per spike was counted.
Root/Shoot Ratio—The Root/Shoot Ratio was calculated using Formula XXII above.
Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.
Percent of reproductive tillers—the number of reproductive tillers barring a spike at harvest was divided by the total numbers of tillers.
SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.
Root FW (gr.), root length (cm) and No. of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed.
Shoot FW (fresh weight)—weight of 3 plants per plot were recorded at different time-points.
Average Grain Area (cm2)—At the end of the growing period the grains were separated from the spike. A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
Average Grain Length and width (cm)—At the end of the growing period the grains were separated from the spike. A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains.
Average Grain perimeter (cm)—At the end of the growing period the grains were separated from the spike. A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.
Heading date—the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated.
Relative water content—Fresh weight (FW) of three leaves from three plants each from different seed ID was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to Formula I above.
Harvest Index (for barley)—The harvest index was calculated using Formula XVIII above.
Growth rate: the growth rate (GR) of Plant Height (Formula III above), SPAD (Formula IV above) and number of tillers (Formula V above) were calculated using the indicated Formulas.
Ratio low N/Normal: Represents ratio for the specified parameter of low N condition results divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).







TABLE 18







Barley correlated parameters (vectors)










Correlated parameter with
Correlation ID














Lateral Roots
1



Lateral Roots NUE ratio
2



Leaf Area [cm2]
3



Leaf Area NUE ratio
4



Leaf Length [cm]
5



Leaf Length NUE ratio
6



Num Leaves
7



Num Leaves NUE ratio
8



Num Seeds
9



Num Seeds NUE ratio
10



Num Spikes
11



Num Spikes NUE ratio
12



Num Tillers
13



Plant Height [cm]
14



Plant Height NUE ratio
15



Root FW [gr]
16



Root FW NUE ratio
17



Root Length [cm]
18



Root Length NUE ratio
19



SPAD
20



SPAD NUE ratio
21



Seed Yield [gr]
22



Seed Yield NUE ratio
23



Shoot FW [gr]
24



Shoot FW NUE ratio
25



Spike Length [cm]
26



Spike Length NUE ratio
27



Spike Width [mm]
28



Spike Width NUE ratio
29



Spike weight [gr]
30



Spike weight NUE ratio
31



Tiller survival NUE
32



Tiller survival NUE ratio
33



Tiller survival Normal
34



Total Tillers
35



Total Tillers NUE ratio
36







Table 18. Provided are the barley correlated parameters.






Experimental Results
15 different Barley accessions were grown and characterized for different parameters as described above. Table 18 describes the Barley correlated parameters. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 19-20 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Table 21). Follow, results were integrated to the database.







TABLE 19







Measured parameters of correlation IDs in Barley accessions under normal conditions






















Line ID/
L-
L-
L-
L-
L-
L-
L-
L-
L-
L-
L-
L-
L-
L-
L-


Corr. ID
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

























 1
7.0
7.0
8.3
6.3
8.0
8.7
8.7
8.3
9.7
10.7
9.7
9.7
8.7
10.0
9.7


 3
294.0
174.0
309.5
75.1
317.6
305.1
198.6
273.0
275.6
313.5
308.5
258.8
291.1
299.4
296.1


 5
501.5
386.4
478.3
278.5
496.7
467.6
348.0
498.5
593.7
534.5
550.9
479.0
399.3
384.3
469.6


 7
24.2
22.0
19.5
20.2
21.4
20.8
18.2
22.7
25.5
23.2
28.3
22.2
19.0
17.3
22.0


 9
1093.5
263.3
987.8
157.7
972.6
683.4
510.5
242.4
581.8
621.0
1069.0
903.2
949.9
984.2
767.6


11
41.5
48.0
30.0
54.7
27.6
38.6
32.0
36.0
71.4
34.2
45.6
49.8
28.0
19.3
38.0


13
2.0
1.3
2.3
2.0
1.3
2.3
2.0
1.0
2.3
2.3
3.3
2.3
1.3
1.3
1.7


14
64.7
52.8
68.0
44.0
76.2
76.4
84.0
67.4
82.0
72.0
56.6
65.8
62.8
91.6
66.2


16
0.3
0.0
0.0
0.4
0.5
0.2
0.3
0.3
0.4
0.6
0.3
0.4
0.3
0.2
0.3


18
21.3
15.2
14.0
17.4
27.8
14.3
15.0
21.8
20.3
27.2
16.0
24.0
13.5
21.5
15.2


20
39.1
32.5
36.5
36.5
36.7
39.2
41.4
35.2
33.7
34.2
42.8
37.0
36.9
35.0
36.8


22
46.4
5.7
39.7
3.7
42.4
33.2
19.8
10.8
22.6
30.3
54.1
37.0
42.0
35.4
38.3


24
2.2
1.6
2.5
1.3
2.1
1.9
1.9
1.3
3.0
15.6
3.0
2.6
1.8
2.2
1.8


26
16.5
15.9
19.8
13.1
17.0
19.3
19.2
18.3
20.4
17.2
19.1
20.3
21.7
16.5
16.1


28
9.5
5.8
10.0
4.3
10.0
9.0
9.1
8.3
6.6
10.5
8.8
7.4
10.4
10.2
10.4


30
69.4
21.7
63.5
16.9
60.1
69.8
39.4
34.9
50.3
60.8
79.1
62.7
60.0
55.9
59.7


34
0.9
NA
0.9
2.1
1.0
0.9
0.8
0.9
1.5
1.0
0.9
1.0
1.0
0.7
1.0


35
46.7
NA
32.4
26.0
28.5
44.3
41.6
40.0
48.8
34.6
48.6
49.2
29.0
27.5
38.8





Table 19. Provided are the values of each of the parameters (as described above) measured in Barley accessions (line, “L”) under growth conditions as described above. Growth conditions are specified in the experimental procedure section.













TABLE 20







Measured parameters of correlation IDs in Barley accessions under low N conditions





















Line ID/




































Corr. ID
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13
L-14
L-15

























 1
5.0
5.0
6.7
4.3
5.3
5.3
6.0
4.3
6.0
6.3
6.0
6.7
4.7
5.7
7.3


 2
0.7
0.7
0.8
0.7
0.7
0.6
0.7
0.5
0.6
0.6
0.6
0.7
0.5
0.6
0.8


 3
39.4
49.9
54.1
37.0
74.8
53.0
46.3
51.5
57.1
67.8
64.2
52.4
46.2
68.0
57.9


 4
0.1
0.3
0.2
0.5
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2


 5
102.9
128.5
135.9
120.3
148.0
123.7
107.8
111.6
142.4
152.4
149.3
124.1
95.0
124.1
135.2


 6
0.2
0.3
0.3
0.4
0.3
0.3
0.3
0.2
0.2
0.3
0.3
0.3
0.2
0.3
0.3


 7
8.0
10.0
10.7
9.7
8.6
9.2
8.0
7.5
8.5
10.0
11.5
8.6
6.3
7.5
10.0


 8
0.3
0.5
0.5
0.5
0.4
0.4
0.4
0.3
0.3
0.4
0.4
0.4
0.3
0.4
0.5


 9
230.2
61.6
159.4
65.8
139.6
153.2
164.6
88.3
133.6
106.0
222.6
219.2
143.5
201.8
125.0


10
0.2
0.2
0.2
0.4
0.1
0.2
0.3
0.4
0.2
0.2
0.2
0.2
0.2
0.2
0.2


11
12.2
12.0
8.4
16.4
7.6
10.8
9.0
11.6
25.0
7.8
14.5
15.0
7.0
5.4
8.4


12
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.4
0.2
0.3
0.3
0.3
0.3
0.2


14
41.0
57.4
60.6
69.0
65.6
75.2
82.0
61.4
59.4
65.8
47.8
53.8
56.4
81.8
44.6


15
20.5
43.1
26.0
34.5
49.2
32.2
41.0
61.4
25.5
28.2
14.3
23.1
42.3
61.4
26.8


16
0.4
0.1
0.6
0.1
0.3
0.4
0.2
0.1
0.4
0.9
0.5
0.4
0.3
0.3
0.6


17
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0


18
24.7
17.2
24.5
18.8
21.0
21.7
21.7
22.0
21.7
22.2
23.0
30.5
22.8
23.8
24.5


19
92.5
85.8
105.0
51.4
46.7
92.9
81.3
88.0
61.9
35.9
86.3
87.1
72.1
102.1
91.9


20
24.0
18.6
23.0
22.0
24.5
25.6
23.3
26.5
23.9
26.6
23.2
25.4
24.2
25.0
26.1


21
11.1
11.7
9.2
17.6
11.9
13.6
12.3
21.2
8.0
1.7
7.7
9.8
13.8
11.5
14.3


22
9.8
1.1
6.4
1.4
6.7
6.7
7.3
3.3
5.1
6.0
9.7
7.4
5.8
7.8
6.3


23
0.5
0.1
0.5
0.1
0.2
0.5
0.5
0.2
0.2
0.2
0.6
0.3
0.4
0.4
0.4


24
0.4
0.2
0.5
0.3
0.4
0.6
0.4
0.3
0.6
0.8
0.5
0.5
0.4
0.5
0.6


25
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0


26
15.2
15.0
20.3
12.4
16.8
18.9
19.6
16.3
19.3
90.2
16.4
20.4
18.8
18.8
16.7


27
0.4
0.5
0.6
0.3
0.5
0.5
0.5
0.5
0.6
2.6
0.4
0.6
0.5
0.5
0.5


28
8.0
7.6
8.4
6.2
.1
9.1
8.1
9.4
4.9
9.6
7.2
7.1
8.5
10.0
9.4


29
0.1
0.4
0.1
0.4
0.2
0.1
0.2
0.3
0.1
0.2
0.1
0.1
0.1
0.2
0.2


30
13.7
5.0
11.6
5.7
12.4
11.4
13.4
9.2
11.6
11.3
15.1
12.2
11.0
12.2
10.6


31
0.8
0.3
0.6
0.4
0.7
0.6
0.7
0.5
0.6
0.7
0.8
0.6
0.5
0.7
0.37


32
0.8
NA
0.7
0.5
0.7
0.7
0.6
0.7
1.2
0.6
0.8
0.7
0.6
0.8
0.6


33
0.8
NA
0.8
0.2
0.7
0.8
0.8
0.8
0.8
0.6
0.8
0.7
0.7
1.1
0.6


35
16.2
NA
12.0
35.0
10.8
16.0
14.6
16.0
20.8
12.5
18.8
21.2
11.0
6.8
14.0


36
1.7
NA
1.2
8.1
1.1
1.8
1.6
1.9
3.2
1.2
2.1
2.9
1.1
0.7
1.4





Table 20.













TABLE 21







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal or low nitrogen


fertilization conditions across barley accessions (vegetative developmental stages)
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB21
0.848
3.91E−03
1
10
LAB21
0.711
3.17E−02
1
12


LAB21
0.826
3.25E−03
5
33
LAB446
0.788
1.16E−02
1
10


LAB446
0.723
1.82E−02
5
31
LAB446
0.849
3.76E−03
3
27


LAB446
0.859
3.04E−03
3
26
LYM316
0.731
3.94E−02
6
13


LYM316
0.758
1.10E−02
5
18
LYM316
0.711
3.16E−02
2
13


LYM316
0.865
2.61E−03
3
27
LYM316
0.901
9.04E−04
3
17


LYM316
0.867
2.47E−03
3
26
LYM316
0.894
1.13E−03
3
18


LYM316
0.833
5.35E−03
3
24
LYM316
0.900
9.58E−04
3
16


LYM82
0.873
2.14E−03
1
12
LYM82
0.722
1.84E−02
5
32


LYM82
0.761
1.73E−02
2
16
WNU10
0.789
1.99E−02
6
20


WNU10
0.734
2.44E−02
1
28
WNU10
0.801
5.33E−03
5
 2


WNU10
0.718
2.95E−02
2
20
WNU10
0.707
3.31E−02
3
14


WNU11
0.781
2.21E−02
6
26
WNU11
0.810
8.10E−03
1
11


WNU11
0.865
2.63E−03
1
32
WNU11
0.714
2.04E−02
5
20


WNU11
0.734
2.43E−02
3
27
WNU11
0.734
2.43E−02
3
26


WNU12
0.754
1.90E−02
2
 1
WNU12
0.750
1.99E−02
3
21


WNU13
0.706
2.25E−02
5
17
WNU13
0.713
2.07E−02
5
24


WNU13
0.759
1.09E−02
5
16
WNU13
0.709
2.18E−02
5
 5


WNU13
0.824
6.34E−03
3
 6
WNU13
0.854
3.39E−03
3
 4


WNU13
0.806
8.69E−03
3
 8
WNU14
0.852
3.52E−03 
1
18


WNU14
0.793
1.08E−02
3
31
WNU15
0.767
1.59E−02
3
 1


WNU15
0.736
2.39E−02
3
 5
WNU16
0.868
5.16E−03
6
16


WNU16
0.735
1.54E−02
5
 7
WNU16
0.752
1.21E−02
5
 1


WNU16
0.827
3.17E−03
5
17
WNU16
0.818
3.79E−03
5
24


WNU16
0.842
2.23E−03
5
16
WNU17
0.721
1.85E−02
5
31


WNU17
0.744
1.35E−02
5
 1
WNU17
0.842
2.26E−03
5
 2


WNU17
0.719
1.92E−02
5
24
WNU17
0.741
1.42E−02
5
16


WNU18
0.760
1.74E−02
2
 9
WNU18
0.777
1.37E−02
2
30


WNU18
0.735
2.42E−02
2
22
WNU19
0.773
2.44E−02
6
35


WNU19
0.776
2.37E−02
6
 7
WNU19
0.836
9.78E−03
6
18


WNU19
0.726
2.69E−02
1
18
WNU19
0.817
3.90E−03
5
35


WNU19
0.732
1.60E−02
5
11
WNU19
0.825
3.29E−03
5
36


WNU19
0.771
1.51E−02
2
35
WNU19
0.756
1.85E−02
2
11


WNU19
0.730
2.54E−02
3
35
WNU19
0.736
2.37E−02
3
29


WNU19
0.861
2.88E−03
3
21
WNU19
0.802
9.28E−03
3
36


WNU19
0.722
2.81E−02
3
18
WNU20
0.738
3.67E−02
6
35


WNU20
0.779
1.34E−02
2
35
WNU20
0.943
1.40E−04
3
27


WNU20
0.943
1.35E−04
3
26
WNU20
0.782
1.27E−02
3
24


WNU20
0.766
1.60E−02
3
16
WNU21
0.813
1.41E−02
6
34


WNU21
0.710
4.86E−02
6
11
WNU21
0.709
3.24E−02
1
 3


WNU21
0.724
1.80E−02
5
32
WNU21
0.750
1.99E−02
2
18


WNU21
0.878
1.83E−03
2
24
WNU21
0.937
1.90E−04
2
16


WNU21
0.739
2.30E−02
3
 7
WNU21
0.709
3.23E−02
3
 2


WNU21
0.803
9.20E−03
3
17
WNU21
0.827
5.91E−03
3
24


WNU21
0.821
6.69E−03
3
16
WNU22
0.797
1.01E−02
3
 7


WNU22
0.815
7.44E−03
3
27
WNU22
0.870
2.32E−03
3
17


WNU22
0.820
6.78E−03
3
26
WNU22
0.947 
1.06E−04
3
24


WNU22
0.926
3.32E−04
3
16
WNU22
0.737
2.34E−02
3
 5


WNU23
0.736
2.39E−02
1
 1
WNU23
0.837
4.93E−03
2
20


WNU25
0.754
3.05E−02
6
20
WNU25
0.880
1.75E−03
2
35


WNU26
0.704
3.41E−02
2
 9
WNU26
0.873
2.13E−03
3
 9


WNU27
0.891
2.97E−03
6
35
WNU27
0.857
6.60E−03
6
11


WNU27
0.797
1.77E−02
6
 7
WNU27
0.711
4.80E−02
6
24


WNU27
0.756
3.01E−02
6
13
WNU27
0.850
7.56E−03
6
 5


WNU27
0.808
8.45E−03
3
 7
WNU27
0.730
2.56E−02
3
24


WNU28
0.931
2.69E−04
1
10
WNU28
0.839
4.73E−03
1
29


WNU28
0.736
2.38E−02
1
21
WNU29
0.758
2.94E−02
6
24


WNU29
0.744
3.41E−02
6
13
WNU29
0.856
1.59E−03
5
27


WNU29
0.854
1.67E−03
5
17
WNU29
0.850 
1.83E−03
5
26


WNU29
0.814
4.14E−03
5
24
WNU29
0.912
2.41E−04
5
16


WNU29
0.752
1.95E−02
2
35
WNU29
0.804
8.95E−03
2
 7


WNU29
0.839
4.73E−03
3
27
WNU29
0.723
2.78E−02
3
17


WNU29
0.829
5.69E−03
3
26
WNU29
0.866
2.51E−03
3
24


WNU29
0.798 
9.97E−03
3
16
WNU30
0.790
1.97E−02
6
34


WNU30
0.722
2.80E−02
1
33
WNU30
0.713 
3.09E−02
1
12


WNU30
0.723
1.82E−02
5
33
WNU30
0.720
1.89E−02
5
32


WNU30
0.711
3.19E−02
2
34
WNU30
0.814
7.53E−03
2
16


WNU30
0.738
2.31E−02
3
 4
WNU31
0.758
2.93E−02
6
11


WNU31
0.833
1.02E−02
6
 7
WNU31
0.764 
2.74E−02
6
24


WNU31
0.808
1.53E−02
6
 5
WNU31
0.700 
3.56E−02
1
11


WNU31
0.857
3.15E−03
1
18
WNU31
0.807
4.73E−03
5
 1


WNU31
0.781
7.63E−03
5
33
WNU31
0.849
3.83E−03
2
 9


WNU31
0.716
3.02E−02
2
 1
WNU31
0.718
2.95E−02
2
30


WNU31
0.760
1.75E−02
2
22
WNU31
0.840
4.57E−03
3
 6


WNU31
0.905
7.93E−04
3
11
WNU31
0.704
3.41E−02
3
36


WNU31
0.939
1.72E−04
3
32
WNU31
0.708
3.30E−02
3
 4


WNU31
0.746
2.11E−02
3
 3
WNU31
0.816
7.37E−03
3
 8


WNU32
0.735
3.80E−02
6
20
WNU33
0.749
2.01E−02
2
30


WNU33
0.779
1.33E−02
2
13
WNU33
0.789
1.15E−02
3
11


WNU33
0.766
1.60E−02
3
36
WNU34
0.708
3.30E−02
1
 1


WNU34
0.759
1.78E−02
1
 2
WNU34
0.715
3.05E−02
1
18


WNU34
0.737
2.36E−02
2
 9
WNU34
0.840
4.62E−03
3
30


WNU35
0.764
1.65E−02
1
 2
WNU35
0.719
2.89E−02
1
17


WNU35
0.728
2.63E−02
1
20
WNU35
0.729
2.60E−02
1
16


WNU35
0.765
1.62E−02
2
 9
WNU35
0.759
1.77E−02
2
30


WNU35
0.741
2.24E−02
2
22
WNU35
0.719
2.90E−02
3
10


WNU35
0.872
2.19E−03
3
21
WNU35
0.756
1.84E−02
3
19


WNU36
0.717
2.96E−02
1
18
WNU36
0.731
2.54E−02
3
15


WNU36
0.700
3.56E−02
3
33
WNU37
0.827
1.14E−02
6
24


WNU37
0.788
2.02E−02
6
16
WNU37
0.731
3.96E−02
6
13


WNU37
0.861
2.87E−03
1
18
WNU37
0.850
3.70E−03
1
 3


WNU37
0.704
2.32E−02
5
 7
WNU37
0.773
8.73E−03
5
 1


WNU37
0.822
3.55E−03
5
 2
WNU37
0.750
1.25E−02
5
17


WNU37
0.863
2.74E−03
3
27
WNU37
0.715
3.03E−02
3
36


WNU37
0.751
1.96E−02
3
17
WNU37
0.861
2.84E−03
3
26


WNU37
0.833
5.32E−03
3
19
WNU37
0.735
2.41E−02
3
18


WNU37
0.749
2.03E−02
3
24
WNU37
0.791
1.11E−02
3
16


WNU38
0.780
2.25E−02
6
35
WNU38
0.758
2.93E−02
6
13


WNU38
0.756
1.85E−02
1
28
WNU38
0.778
8.04E−03
5
 2


WNU38
0.856
1.59E−03
5
17
WNU38
0.800
5.48E−03
5
16


WNU38
0.731
2.52E−02
3
28
WNU38
0.725
2.70E−02
3
31


WNU39
0.770
2.53E−02
6
 7
WNU39
0.886
3.38E−03
6
24


WNU39
0.792
1.92E−02
6
30
WNU39
0.869 
5.13E−03
6
13


WNU39
0.709
4.90E−02
6
22
WNU39
0.837 
2.50E−03
5
35


WNU39
0.865
1.22E−03
5
11
WNU39
0.922 
1.47E−04
5
36


WNU39
0.756
1.13E−02
5
12
WNU39
0.790
1.13E−02
2
35


WNU39
0.788
1.16E−02
2
13
WNU39
0.781
1.30E−02
3
11


WNU39
0.839
4.74E−03
3
32
WNU40
0.868
1.14E−03
5
33


WNU41
0.841
8.87E−03
6
 9
WNU41
0.894
2.75E−03
6
30


WNU41
0.912
1.58E−03
6
22
WNU41
0.890
1.29E−03
1
18


WNU41
0.744
1.36E−02
5
21
WNU41
0.748 
1.28E−02
5
23


WNU41
0.701
3.53E−02
3
35
WNU41
0.798
9.91E−03
3
31


WNU41
0.935
2.14E−04
3
11
WNU41
0.838
4.80E−03
3
36


WNU41
0.880
1.77E−03
3
32
WNU42
0.749
2.02E−02
1
 1


WNU42
0.730
1.66E−02
5
10
WNU42
0.787
6.85E−03
5
21


WNU42
0.868
2.42E−03
2
20
WNU42
0.846
4.05E−03
3
11


WNU42
0.794
1.06E−02
3
32
WNU43
0.785
1.21E−02
1
14


WNU43
0.729
2.60E−02
1
15
WNU43
0.990
3.52E−07
2
24


WNU43
0.946
1.16E−04
2
16
WNU44
0.715
3.04E−02
1
 1


WNU44
0.701
3.55E−02
1
 2
WNU44
0.701
2.39E−02
5
12


WNU44
0.819
6.97E−03
3
27
WNU44
0.833
5.35E−03
3
26


WNU44
0.756
1.85E−02
3
24
WNU44
0.760
1.75E−02
3
16


WNU8
0.705
5.07E−02
6
20
WNU8
0.771
2.52E−02
6
30


WNU8
0.787
2.04E−02
6
13
WNU8
0.754
3.07E−02
6
22


WNU8
0.732
2.50E−02
1
28
WNU8
0.769
1.55E−02
1
15


WNU8
0.812
7.80E−03
1
33
WNU8
0.703
2.32E−02
5
27


WNU8
0.857
1.54E−03
5
20
WNU8
0.724
1.78E−02
5
18


WNU8
0.703
3.45E−02
3
31
WNU8
0.956
5.59E−05
3
30


WNU8
0.782
1.28E−02
3
 9
WNU8
0.748
2.04E−02
3
23


WNU8
0.860
2.94E−03
3
22
WNU9
0.703
3.47E−02
3
35


WNU9
0.709
3.26E−02
3
36
WNU9
0.735 
2.42E−02
3
 9





Table 21. “Con. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.













TABLE 22







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal or low nitrogen


fertilization conditions across barley accessions (reproductive developmental stages)
















Gene


Exp.
Corr.
Gene


Exp.
Corr.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB21
0.747
1.31E−02
2
34
LAB21
0.725
1.77E−02
3
 4


LAB21
0.718
1.95E−02
3
 3
LAB21
0.712
2.08E−02
1
11


LAB21
0.882
7.27E−04
1
32
LAB446
0.709
2.17E−02
5
23


LYM316
0.714
2.03E−02
6
13
LYM316
0.760
1.07E−02
5
27


LYM316
0.749
1.26E−02
5
26
LYM316
0.802
5.23E−03
5
25


LYM316
0.732
1.61E−02
4
13
LYM82
0.781
7.64E−03
5
25


LYM82
0.754
1.17E−02
5
24
LYM82
0.725
1.76E−02
5
16


WNU10
0.795
6.01E−03
6
13
WNU10
0.865
1.23E−03
3
35


WNU10
0.719
1.92E−02
3
11
WNU10
0.823
3.44E−03
3
36


WNU10
0.746
1.31E−02
5
35
WNU10
0.772
8.87E−03
5
11


WNU10
0.736
1.52E−02
5
36
WNU11
0.780
7.81E−03
2
34


WNU11
0.717
1.97E−02
2
18
WNU11
0.827
3.19E−03
2
24


WNU11
0.854
1.66E−03
2
16
WNU11
0.724
1.79E−02
3
10


WNU11
0.752
1.21E−02
3
11
WNU11
0.736
1.53E−02
3
36


WNU11
0.755
1.16E−02
3
32
WNU11
0.747
1.30E−02
5
35


WNU11
0.763
1.03E−02
5
15
WNU11
0.922
1.44E−04
1
35


WNU11
0.835
2.62E−03
1
11
WNU11
0.778
8.09E−03
1
 1


WNU11
0.920
1.60E−04
1
36
WNU12
0.813
4.25E−03
3
 7


WNU14
0.710
2.13E−02
3
 6
WNU14
0.770
9.23E−03
3
29


WNU14
0.748
1.29E−02
3
 3
WNU14
0.801
5.38E−03
5
14


WNU15
0.742
1.40E−02
3
 7
WNU15
0.773
8.71E−03
3
 1


WNU15
0.702
2.36E−02
1
11
WNU16
0.798
5.67E−03
2
18


WNU16
0.714
2.04E−02
2
16
WNU16
0.759
1.09E−02
3
 2


WNU16
0.708
2.19E−02
4
24
WNU16
0.841
2.28E−03
4
16


WNU17
0.748
1.28E−02
2
34
WNU17
0.766
9.81E−03
3
 5


WNU17
0.750
1.24E−02
4
16
WNU17
0.878
8.26E−04
1
 7


WNU17
0.797
5.80E−03
1
17
WNU17
0.710
2.15E−02
1
24


WNU17
0.793
6.21E−03
1
16
WNU17
0.764
1.01E−02
1
 5


WNU18
0.728
1.71E−02
6
34
WNU18
0.859
1.45E−03
6
11


WNU18
0.741
1.41E−02
6
 5
WNU19
0.732
1.61E−02
2
35


WNU19
0.736
1.52E−02
2
11
WNU19
0.708
2.20E−02
2
14


WNU19
0.775
8.44E−03
2
 3
WNU19
0.728
1.69E−02
6
34


WNU19
0.792
6.37E−03
6
11
WNU19
0.756
1.14E−02
6
 1


WNU19
0.730
1.66E−02
6
24
WNU19
0.767
9.66E−03
6
 3


WNU19
0.839
2.40E−03
3
35
WNU19
0.864
1.28E−03
3
11


WNU19
0.912
2.33E−04
3
36
WNU19
0.798
5.65E−03
5
35


WNU19
0.782
7.52E−03
5
11
WNU19
0.723
1.81E−02
5
 1


WNU19
0.805
4.97E−03
5
36
WNU19
0.710
2.15E−02
5
32


WNU19
0.731
1.64E−02
4
34
WNU19
0.848
1.91E−03
4
11


WNU19
0.896
4.51E−04
1
35
WNU19
0.873
9.85E−04
1
11


WNU19
0.900
3.90E−04
1
27
WNU19
0.902
3.63E−04
1
36


WNU19
0.907
2.92E−04
1
26
WNU19
0.756
1.14E−02
1
16


WNU20
0.701
2.38E−03
2
20
WNU20
0.800
5.46E−03
2
 9


WNU20
0.811
4.45E−03
2
22
WNU20
0.863
1.28E−03
6
26


WNU20
0.733
1.60E−02
4
20
WNU20
0.712
2.08E−02
4
 9


WNU20
0.799
5.59E−03
4
22
WNU21
0.816
3.96E−03
2
26


WNU21
0.795
5.94E−03
3
28
WNU21
0.774
8.60E−03
3
29


WNU22
0.763
1.03E−02
6
26
WNU23
0.788
6.81E−03
6
34


WNU23
0.797
5.80E−03
6
11
WNU23
0.760
1.08E−02
6
 5


WNU23
0.884
6.88E−04
5
11
WNU23
0.774
8.61E−03
5
36


WNU23
0.772
8.87E−03 
5
32
WNU25
0.714
2.04E−02
6
35


WNU25
0.760
1.07E−02
6
11
WNU25
0.747
1.31E−02
6
13


WNU25
0.782
7.49E−03
6
 5
WNU25
0.758
1.11E−02
5
35


WNU25
0.799
5.54E−03
5
11
WNU25
0.769
9.35E−03
5
36


WNU25
0.705
2.28E−02
4
35
WNU25
0.833
2.76E−03
4
11


WNU25
0.752
1.22E−02
4
 5
WNU27
0.735
1.55E−02
2
 3


WNU27
0.764
1.01E−02
3
 7
WNU27
0.711
2.11E−02
3
 5


WNU27
0.793
6.18E−03
4
16
WNU28
0.908
2.77E−04
2
24


WNU28
0.839
2.40E−03
2
16
WNU28
0.713
2.07E−02
6
28


WNU28
0.807
4.76E−03
3
14
WNU28
0.777
8.16E−03 
3
33


WNU28
0.770
9.24E−03
5
14
WNU28
0.767
9.62E−03
5
33


WNU28
0.710
2.13E−02
4
28
WNU28
0.720
1.88E−02
1
35


WNU28
0.879
8.01E−04
1
11
WNU28
0.820
3.66E−03
1
36


WNU28
0.813
4.26E−03
1
15
WNU28
0.783
7.45E−03
1
32


WNU28
0.806
4.86E−03
1
12
WNU30
0.772
8.89E−03
2
34


WNU30
0.820
3.68E−03
3
35
WNU30
0.854
1.64E−03
3
10


WNU30
0.813
4.21E−03
3
36
WNU30
0.876
8.96E−04
5
17


WNU30
0.785
7.19E−03
5
16
WNU30
0.807
4.79E−03
1
 1


WNU31
0.767
9.36E−03
2
 7
WNU31
0.708
2.19E−02
5
14


WNU31
0.753
1.19E−02
4
11
WNU32
0.755
1.16E−02
5
35


WNU32
0.721
1.87E−02
5
36
WNU32
0.805
4.95E−03
4
26


WNU32
0.776
8.39E−03
1
35
WNU33
0.710
2.15E−02
2
35


WNU33
0.789
6.68E−03
2
13
WNU33
0.705
2.27E−02
3
 5


WNU33
0.718
1.92E−02
5
35
WNU33
0.704
2.32E−02
5
36


WNU33
0.756
1.14E−02
4
18
WNU33
0.719
1.92E−02
4
16


WNU33
0.716
1.99E−02
1
30
WNU34
0.724
1.79E−02
3
32


WNU34
0.701
2.38E−02
3
 5
WNU34
0.809
4.56E−03
5
35


WNU34
0.772
8.84E−03
5
11
WNU34
0.814
4.18E−03
5
36


WNU34
0.848
1.93E−03
1
11
WNU34
0.740
1.44E−02
1
36


WNU34
0.769
9.33E−03
1
32
WNU34
0.821
3.57E−03
1
12


WNU35
0.727
1.71E−02
6
34
WNU35
0.758
1.11E−02
6
16


WNU35
0.704
2.30E−02
3
28
WNU35
0.789
6.71E−03
3
31


WNU35
0.823
3.47E−03
3
29
WNU35
0.758
1.11E−02
5
25


WNU35
0.720
1.88E−02
4
13
WNU36
0.702
2.37E−02
2
14


WNU36
0.833
2.75E−03
6
24
WNU36
0.781
7.67E−03
6
16


WNU36
0.830
2.94E−03
5
27
WNU36
0.736
1.53E−02
5
17


WNU36
0.825
3.32E−03
5
26
WNU36
0.816
4.00E−03
5
16


WNU37
0.745
1.35E−02
2
34
WNU37
0.764
1.01E−02
6
11


WNU37
0.725
1.76E−02
6
 7
WNU37
0.730
1.65E−02
6
24


WNU37
0.768
9.40E−03
6
16
WNU37
0.833
2.75E−03
3
15


WNU37
0.704
2.30E−02
5
33
WNU37
0.813
4.22E−03
1
32


WNU38
0.724
1.79E−02
2
 9
WNU38
0.819
3.77E−03
6
20


WNU38
0.889
5.90E−04
6
30
WNU38
0.773
8.75E−03
3
31


WNU38
0.788
6.83E−03
5
35
WNU38
0.762
1.04E−02
5
11


WNU38
0.798
5.65E−03
5
36
WNU38
0.712
2.09E−02
1
28


WNU38
0.723
1.81E−02
1
29
WNU38
0.853
1.69E−03
1
21


WNU39
0.776
8.37E−03
6
26
WNU39
0.760
1.07E−02
6
16


WNU39
0.710
2.15E−02
3
10
WNU39
0.742
1.39E−02
3
36


WNU39
0.796
5.92E−03
5
35
WNU39
0.836
2.58E−03
5
11


WNU39
0.874
9.40E−04
5
36
WNU39
0.881
7.61E−04
1
11


WNU39
0.815
4.06E−03
1
36
WNU39
0.845
2.08E−03
1
32


WNU39
0.842
2.24E−03
1
12
WNU39
0.787
6.93E−03
1
 4


WNU39
0.774
8.63E−03
1
 3
WNU40
0.701
2.39E−02
2
34


WNU40
0.708
2.19E−02
2
11
WNU40
0.776
8.37E−03
2
 5


WNU40
0.839
2.40E−03
6
26
WNU40
0.706
2.25E−02
5
35


WNU40
0.752
1.21E−02
5
36
WNU41
0.843
2.20E−03
3
35


WNU41
0.794
6.11E−03
3
36
WNU41
0.858
1.50E−03
3
18


WNU41
0.720
1.89E−02
5
30
WNU41
0.787
6.86E−03
5
33


WNU41
0.750
1.25E−02
5
 9
WNU41
0.711
2.11E−02
5
23


WNU41
0.753
1.20E−02
1
 2
WNU41
0.781
7.64E−03
1
 1


WNU42
0.741
1.42E−02
6
26
WNU43
0.755
1.16E−02
2
20


WNU43
0.752
1.22E−02
2
 9
WNU43
0.814
4.15E−03
2
22


WNU43
0.707
2.22E−02
1
15
WNU43
0.854
1.64E−03
1
33


WNU44
0.764
1.01E−02
3
35
WNU44
0.755
1.16E−02
3
11


WNU44
0.780
7.78E−03
3
36
WNU44
0.826
3.26E−03
5
 2


WNU8
0.792
6.33E−03
2
28
WNU8
0.768
9.45E−03
6
11


WNU8
0.708
2.19E−02
6
 1
WNU8
0.931
9.22E−05
3
15


WNU8
0.759
1.09E−02
5
11
WNU8
0.705
2.28E−02
5
36


WNU8
0.843
2.20E−03
4
 7
WNU8
0.887
6.31E−04
4
18


WNU8
0.775
8.51E−03
4
 5
WNU8
0.787
6.88E−03
1
27


WNU8
0.914
2.16E−04
1
15
WNU8
0.788
6.77E−03
1
26


WNU9
0.791
6.38E−03
2
 7
WNU9
0.709
2.18E−02
2
13


WNU9
0.750
1.25E−02
2
 5
WNU9
0.758
1.11E−02
6
34


WNU9
0.766
9.84E−03
6
11
WNU9
0.866
1.19E−03
6
 5


WNU9
0.750
1.24E−02
3
 5
WNU9
0.773
8.67E−03
5
11


WNU9
0.706
2.25E−02
5
36
WNU9
0.820
3.68E−03
4
35





Table 22. “Con. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 7
Production of Sorghum Transcriptome and High Throughput Correlation Analysis with Yield, Nue, and Abst Related Parameters Measured in Fields Using 44K Sorguhm Oligonucleotide Micro-Arrays
In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a sorghum oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 sorghum genes and transcripts. In order to define correlations between the levels of RNA expression with ABST, yield and NUE components or vigor related parameters, various plant characteristics of 17 different sorghum hybrids were analyzed. Among them, 10 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Correlation of Sorghum Varieties Across Ecotypes Grown Under Regular Growth Conditions, Severe Drought Conditions and Low Nitrogen Conditions
Experimental Procedures
17 Sorghum varieties were grown in 3 repetitive plots, in field. Briefly, the growing protocol was as follows:
1. Regular growth conditions: sorghum plants were grown in the field using commercial fertilization and irrigation protocols (370 liter per meter2, fertilization of 14 units of 21% urea per entire growth period).
2. Drought conditions: sorghum seeds were sown in soil and grown under normal condition until around 35 days from sowing, around stage V8 (eight green leaves are fully expanded, booting not started yet). At this point, irrigation was stopped, and severe drought stress was developed.
3. Low Nitrogen fertilization conditions: sorghum plants were fertilized with 50% less amount of nitrogen in the field than the amount of nitrogen applied in the regular growth treatment. All the fertilizer was applied before flowering.
Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each treatment. Tissues [Flag leaf, Flower meristem and Flower] from plants growing under normal conditions, severe drought stress and low nitrogen conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 23 below.







TABLE 23







Sorghum transcriptome expression sets in field experiments










Expression Set
Set ID







Flag Leaf Drought
1



Flag Leaf low nitrogen
2



Flag Leaf Normal
3



Flower Meristem Drought
4



Flower Meristem low nitrogen
5



Flower Meristem Normal
6



Flower Drought
7



Flower low nitrogen
8



Flower Normal
9







Table 23: Provided are the sorghum transcriptome expression sets. Flag leaf = the leaf below the flower; Flower meristem = Apical meristem following panicle initiation; Flower = the flower at the anthesis day.






The following parameters were collected using digital imaging system:
Average Grain Area (cm2)—At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of  ̃200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
Average Grain Length (cm)—At the end of the growing period the grains were separated from the Plant ‘Head’. A sample of  ̃200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths (longest axis) was measured from those images and was divided by the number of grains.
Grain size was also measured after dividing the grains into two groups according to their size (lower and upper groups)
Head Average Area (cm2)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.
Head Average Length (cm)—At the end of the growing period 5 ‘Heads’ were, photographed and images were processed using the below described image processing system. The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.
An image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).
Additional parameters were collected either by sampling 5 plants per plot or by measuring the parameter across all the plants within the plot.
Total Seed Weight per Head (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots within blocks A-C were collected. 5 heads were separately threshed and grains were weighted, all additional heads were threshed together and weighted as well. The average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot). In case of 5 heads, the total grains weight of 5 heads was divided by 5.
FW Head per Plant Gram—At the end of the experiment (when heads were harvested) total heads and 5 selected heads per plots within blocks A-C were collected separately. The heads (total and 5) were weighted (gr.) separately, and the average fresh weight per plant was calculated for total (FW Head/Plant gr. based on plot) and for 5 (FW Head/Plant gr. based on 5 plants) heads.
Plant height—Plants were characterized for height during growing period at 5 time points. In each measure, plants were measured for their height using a measuring tape. Height was measured from ground level to top of the longest leaf.
Plant leaf number—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.
Growth Rate—was calculated using Formulas III (above) and VIII (above).
SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.
Vegetative dry weight and heads—At the end of the experiment (when inflorescence were dry) all inflorescence and vegetative material from plots within blocks A-C were collected. The biomass and heads weight of each plot was separated, measured and divided by the number of heads.
Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;
Harvest Index (HI) (Sorghum)—The harvest index was calculated using Formula XVI described above.
FW Heads/(FW Heads+FW Plants)—The total fresh weight of heads and their respective plant biomass was measured at the harvest day. The heads weight was divided by the sum of weights of heads and plants.
Experimental Results
17 different sorghum hybrids were grown and characterized for different parameters (Table 24). The average for each of the measured parameter was calculated using the JMP software (Table 25) and a subsequent correlation analysis was performed (Table 26). Results were then integrated to the database.







TABLE 24







Sorghum correlated parameters (vectors)








Correlated parameter with
Correlation ID











Average Grain Area (cm2), Drought
1


Average Grain Area (cm2), Low N
2


Average Grain Area (cm2), Normal
3


FW Head/Plant gr (based on plot), Drought
4


FW Head/Plant gr (based on plot), Low N
5


FW Head/Plant gr (based on plot), Normal
6


FW Head/Plant gr (based on 5 plants), Low N
7


FW Head/Plant gr (based on 5 plants), Normal
8


FW Heads/(FW Heads + FW Plants) (all plot), Drought
9


FW Heads/(FW Heads + FW Plants) (all plot), Low N
10


FW Heads/(FW Heads + FW Plants) (all plot), Normal
11


FW/Plant gr (based on plot), Drought
12


FW/Plant gr (based on plot), Low N
13


FW/Plant gr (based on plot), Normal
14


Final Plant Height (cm), Drought
15


Final Plant Height (cm), Low N
16


Final Plant Height (cm), Normal
17


Head Average Area (cm2), Drought
18


Head Average Area (cm2), Low N
19


Head Average Area (cm2), Normal
20


Head Average Length (cm), Drought
21


Head Average Length (cm), Low N
22


Head Average Length (cm), Normal
23


Head Average Perimeter (cm), Drought
24


Head Average Perimeter (cm), Low N
25


Head Average Perimeter (cm), Normal
26


Head Average Width (cm), Drought
27


Head Average Width (cm), Low N
28


Head Average Width (cm), Normal
29


Leaf SPAD 64 DPS (Days Post Sowing), Drought
30


Leaf SPAD 64 DPS (Days Post Sowing), Low N
31


Leaf SPAD 64 DPS (Days Post Sowing), Normal
32


Lower Ratio Average Grain Area, Low N
33


Lower Ratio Average Grain Area, Normal
34


Lower Ratio Average Grain Length, Low N
35


Lower Ratio Average Grain Length, Normal
36


Lower Ratio Average Grain Perimeter, Low N
37


Lower Ratio Average Grain Perimeter, Normal
38


Lower Ratio Average Grain Width, Low N
39


Lower Ratio Average Grain Width, Normal
40


Total grain weight /Head (based on plot) gr, Low N
41


Total grain weight /Head gr (based on 5 heads), Low N 
42


Total grain weight /Head gr (based on 5 heads), Normal
43


Total grain weight /Head gr (based on plot), Normal
44


Total grain weight /Head gr,(based on plot) Drought
45


Upper Ratio Average Grain Area, Drought
46


Upper Ratio Average Grain Area, Low N
47


Upper Ratio Average Grain Area, Normal
48


[Grain Yield[plant biomass/SPAD 64 DPS], Normal
49


[Grain Yield[ plant biomass/SPAD 64 DPS], Low N
50


[Grain yield /SPAD 64 DPS], Low N
51


[Grain yield /SPAD 64 DPS], Normal
52


[Plant biomass (FW)/SPAD 64 DPS], Drought
53


[Plant biomass (FW)/SPAD 64 DPS], Low N
54


[Plant biomass (FW)/SPAD 64 DPS], Normal
55





Table 24. Provided are the Sorghum correlated parameters (vectors). “gr.” = grams; “SPAD” = chlorophyll levels; “FW” = Plant Fresh weight; “DW”, Plant Dry weight; “normal” = standard growth conditions; “DPS” = days post-sowing; “Low N” = Low Nitrogen. FW—Head/Plant gr. (based on 5 plants), fresh weigh of the harvested heads was divided by the number of heads that were phenotyped, Low N-low nitrogen conditions: Lower Ratio Average Grain Area grain area of the lower fraction of grains.













TABLE 25





Measured parameters in Sorghum accessions under normal, low N and drought conditions























Seed ID/










Corr. ID
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8





 3
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1


 6
175.2
223.5
56.4
111.6
67.3
66.9
126.2
107.7


 8
406.5
518.0
148.0
423.0
92.0
101.3
423.5
386.5


11
0.5
0.5
0.1
0.3
0.1
0.2
0.5
0.4


14
162.6
212.6
334.8
313.5
462.3
318.3
151.1
137.6


17
95.3
79.2
197.9
234.2
189.4
194.7
117.3
92.8


20
120.1
167.6
85.1
157.3
104.0
102.5
168.5
109.3


23
25.6
26.8
21.0
26.8
23.1
21.8
31.3
23.2


26
61.2
67.9
56.3
65.4
67.5
67.5
74.4
56.2


29
6.0
7.9
4.9
7.4
5.6
5.9
6.8
6.0


32
43.0
.
43.3
44.7
45.8
41.6
45.2
45.1


34
0.8
0.7
0.8
0.8
0.7
0.7
0.8
0.8


36
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


38
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


40
0.9
0.8
0.8
0.9
0.8
0.8
0.9
0.9


43
47.4
46.3
28.4
70.4
32.2
49.2
63.5
44.5


44
31.1
26.4
18.7
38.4
26.7
28.8
47.7
31.0


48
1.2
1.3
1.1
1.1
1.2
1.1
1.2
1.2


49
4.5
8.2
7.9
10.7
8.3
4.4
3.7
4.8


52
3.8
7.7
7.0
10.1
7.6
3.3
3.0
3.9


55
0.7
0.4
0.9
0.6
0.7
1.1
0.7
0.9


 2
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1


 5
214.8
205.0
73.5
123.0
153.1
93.2
134.1
77.4


 7
388.0
428.7
297.7
208.0
208.3
303.7
436.0
376.3


10
0.5
0.5
0.2
0.4
0.2
0.2
0.5
0.4


13
204.8
199.6
340.5
240.6
537.8
359.4
149.2
129.1


16
104.0
80.9
204.7
125.4
225.4
208.1
121.4
100.3


19
96.2
214.7
98.6
182.8
119.6
110.2
172.4
84.8


22
23.2
25.6
20.9
28.4
24.3
22.6
32.1
20.4


25
56.3
79.2
53.3
76.2
67.3
59.5
79.3
51.5


28
5.3
10.4
5.9
8.3
6.2
6.1
6.8
5.3


31
38.3
39.0
42.3
40.9
43.2
39.9
42.7
43.3


33
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8


35
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


37
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


39
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


41
25.9
30.6
19.4
35.6
25.2
22.2
50.0
27.5


42
50.3
50.9
36.1
73.1
37.9
36.4
71.7
35.0


47
1.2
1.3
1.1
1.2
1.2
1.2
1.2
1.2


50
6.0
5.9
8.5
6.8
13.1
9.6
4.7
3.6


51
0.7
0.8
0.5
0.9
0.6
0.6
1.2
0.6


54
5.3
5.1
8.0
5.9
12.5
9.0
3.5
3.0


 1
0.1
0.1
0.1
0.1
0.1
0.1




 4
154.9
122.0
130.5
241.1
69.0
186.4
62.1
39.0


 9
0.4
0.5
0.4
0.4
0.2
0.3
0.4
0.4


12
208.0
138.0
255.4
402.2
233.5
391.7
89.3
50.6


15
89.4
75.7
92.1
94.3
150.8
110.7
99.2
84.0


18
83.1
107.8
88.7
135.9
90.8
124.0
86.1
85.2


21
21.6
21.9
21.6
22.0
21.0
28.6
21.3
20.8


24
52.8
64.5
56.6
64.4
53.2
71.7
55.6
53.0


27
4.8
6.3
5.2
7.8
5.3
5.5
5.0
5.1


30
40.6
40.9
45.0
42.3
45.2
40.6
44.8
45.1


45
22.1
16.8
9.2
104.4
3.2
22.0
10.0
18.6


46
1.3
1.2
1.3
1.5
1.2
1.2




53
5.1
3.4
5.7
9.5
5.2
9.7
2.0
1.1


















Seed ID/
























Corr. ID
L-9
L-10
L-11
L-12
L-13
L-14
L-15
L-16
L-17





 3
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1


 6
123.9
102.8
82.3
77.6
91.2
150.4
109.1
107.6
130.9


 8
409.5
329.0
391.0
435.8
429.5
441.0
415.8
429.5
428.5


11
0.4
0.4
0.5
0.4
0.4
0.5
0.5
0.4
0.4


14
168.0
129.0
97.6
99.3
112.2
157.4
130.5
135.7
209.2


17
112.7
97.5
98.0
100.0
105.6
151.2
117.1
124.5
126.5


20
135.1
169.0
156.1
112.1
154.7
171.7
168.5
162.5
170.5


23
25.7
28.8
28.1
23.0
28.1
30.0
30.5
27.2
29.3


26
61.6
71.4
68.6
56.4
67.8
71.5
78.9
67.0
74.1


29
6.6
7.4
7.0
6.2
7.0
7.2
7.0
7.4
7.4


32
43.0
45.6
44.8
45.3
46.5
44.0
45.1
45.1
43.1


34
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8
0.8


36
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


38
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


40
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


43
56.7
60.0
45.5
58.2
70.6
70.1
54.0
59.9
52.7


44
40.0
38.4
32.1
32.7
32.8
51.5
35.7
38.3
42.4


48
1.2
1.2
1.3
1.2
1.2
1.2
1.2
1.3
1.2


49
3.7
2.9
2.9
3.1
4.8
3.7
3.9
5.8



52
2.8
2.2
2.2
2.4
3.6
2.9
3.0
4.9



55
0.8
0.7
0.7
0.7
1.2
0.8
0.8
1.0



 2
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1


 5
129.6
99.8
76.9
84.2
92.2
138.8
113.3
95.5
129.5


 7
474.7
437.7
383.0
375.0
425.0
434.0
408.7
378.5
432.0


10
0.4
0.4
0.4
0.4
0.4
0.4
0.4
0.4
0.4


13
178.7
124.3
101.3
132.1
117.9
177.0
143.7
127.0
180.4


16
121.1
94.5
110.0
115.1
104.7
173.7
115.6
138.8
144.4


19
156.3
136.7
137.7
96.5
158.2
163.9
138.4
135.5
165.6


22
26.7
26.3
25.4
23.1
27.9
28.9
27.6
25.5
30.3


25
69.9
66.2
67.4
57.9
70.6
73.8
66.9
65.4
76.0


28
7.5
6.6
6.9
5.3
7.2
7.2
6.3
6.6
6.8


31
39.0
42.7
40.1
44.0
45.4
44.8
42.6
43.8
46.7


33
0.8
0.8
0.7
0.8
0.8
0.8
0.8
0.8
0.8


35
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


37
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9


39
0.9
0.9
0.8
0.9
0.9
0.9
0.9
0.9
0.9


41
51.1
36.8
29.4
26.7
29.4
51.1
37.0
39.9
41.8


42
76.7
57.6
42.9
36.5
68.6
71.8
49.3
43.9
52.1


47
1.2
1.2
1.2
1.2
1.2
1.2
1.3
1.2
1.2


50
5.9
3.8
3.3
3.6
3.2
5.1
4.2
3.8
4.8


51
1.3
0.9
0.7
0.6
0.6
1.1
0.9
0.9
0.9


54
4.6
2.9
2.5
3.0
2.6
4.0
3.4
2.9
3.9


 1











 4
58.9
76.4
33.5
42.2
41.5
131.7
60.8
44.3
185.4


 9
0.4
0.4
0.5
0.5
0.5
0.4
0.3
0.2
0.3


12
87.0
120.4
37.2
48.2
44.2
231.6
116.0
123.1
342.5


15
99.0
92.2
81.9
98.8
86.5
99.6
83.0
83.5
92.3


18
113.1
100.8
80.4
126.9
86.4
92.3
77.9
76.9



21
24.7
24.3
21.9
25.0
19.5
20.4
16.8
18.9



24
69.8
65.1
55.3
69.1
53.3
56.3
49.1
51.9



27
5.8
5.4
4.7
6.3
5.6
5.8
5.9
5.1



30
40.7
45.4
42.6
44.2
44.6
42.4
43.3
40.3
40.8


45
29.3
10.5
14.8
12.9
18.2
11.6
18.6
16.4



46











53
2.1
2.7
0.9
1.1
1.0
5.5
2.7
3.1
8.4





Table 25: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under normal, low N and drought conditions. Growth conditions are specified in the experimental procedure section.













TABLE 26







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal or low nitrogen


fertilization conditions across sorghum accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB101
0.895
4.69E−04
6
32
LAB101
0.862
1.33E−03
6
38


LAB101
0.821
3.56E−03
9
32
LAB101
0.745
1.34E−02
9
40


LAB101
0.928
1.07E−04
9
38
LAB101
0.725
1.77E−02
9
36


LAB101
0.748
1.28E−02
9
34
LAB101
0.704
2.31E−02
2
31


LAB101
0.720
1.89E−02
3
17
LAB572
0.771
9.01E−03
6
48


LAB572
0.762
1.04E−02
6
 3
LAB572
0.914
2.15E−04
2
41


LAB572
0.782
7.57E−03
2
22
LAB572
0.701
2.38E−02
2
42


LAB572
0.850
1.86E−03
2
51
LAB572
0.882
7.34E−04 
2
16


LAB572
0.845
2.08E−03
8
 2
LAB572
0.735
1.55E−02
3
44


WNU100
0.813
4.24E−03
9
17
WNU100
0.904
3.34E−04
2
16


WNU100
0.723
1.83E−02
8
16
WNU101
0.730
1.66E−02
6
48


WNU101
0.789
6.65E−03
2
47
WNU101
0.715
2.00E−02
2
28


WNU101
0.784
7.31E−03
3
48
WNU105
0.819
3.78E−03
6
52


WNU105
0.797
5.76E−03
6
49
WNU105
0.762
1.04E−02
2
51


WNU105
0.825
3.28E−03
5
 2
WNU3
0.708
2.20E−02
2
 7


WNU3
0.862
1.33E−03
2
41
WNU3
0.827
3.15E−03
2
22


WNU3
0.790
6.52E−03
2
42
WNU3
0.788
6.73E−03
2
51


WNU3
0.804
5.08E−03
2
16
WNU3
0.749
1.27E−02
5
 2


WNU3
0.916
5.19E−04
3
52
WNU3
0.703
2.32E−02
3
 6


WNU3
0.915
5.37E−04
3
49
WNU3
0.712
2.09E−02
1
 4


WNU90
0.788
6.81E−03
2
47
WNU90
0.726
1.75E−02
2
28


WNU91
0.749
1.26E−02
6
44
WNU91
0.886
6.38E−04
4
53


WNU91
0.753
1.20E−02
4
 4
WNU91
0.887
6.30E−04
4
12


WNU91
0.738
1.48E−02
5
 5
WNU91
0.718
1.95E−02
5
54


WNU91
0.777
8.20E−03
5
50
WNU91
0.804
5.10E−03
5
13


WNU92
0.823
3.44E−03
6
14
WNU93
0.722
1.85E−02
6
17


WNU93
0.771
9.09E−03
6
40
WNU93
0.834
2.68E−03
6
44


WNU93
0.726
1.75E−02
6
36
WNU93
0.813
4.23E−03
6
34


WNU93
0.721
1.87E−02
2
33
WNU93
0.729
1.68E−02
2
39


WNU93
0.806
4.84E−03
2
37
WNU93
0.741
1.41E−02
2
16


WNU93
0.789
6.65E−03
8
33
WNU93
0.717
1.97E−02
8
41


WNU93
0.713
2.05E−02
8
39
WNU93
0.829
3.04E−03
8
35


WNU93
0.817
3.91E−03
8
42
WNU93
0.737
1.49E−02
8
51


WNU93
0.898
4.12E−04
8
37
WNU93
0.751
1.22E−02
5
33


WNU93
0.713
2.06E−02
5
39
WNU93
0.747
1.31E−02
5
35


WNU93
0.786
7.02E−03
5
42
WNU93
0.876
9.01E−04
1
15


WNU94
0.742
1.40E−02
6
11
WNU94
0.759
1.08E−02
6
44


WNU94
0.785
7.11E−03
4
15
WNU94
0.736
1.53E−02
5
16


WNU96
0.717
1.97E−02
6
44
WNU97
0.749
1.26E−02
6
17


WNU97
0.736
2.36E−02
9
52
WNU97
0.773
1.46E−02
9
49


WNU97
0.961
9.57E−06
4
53
WNU97
0.878
8.35E−04
4
 4


WNU97
0.965
6.14E−06
4
12
WNU97
0.700
2.42E−02
5
50


WNU97
0.780
7.85E−03
5
13
WNU98
0.843
2.17E−03
6
17


WNU98
0.818
3.85E−03
6
44
WNU98
0.877
8.62E−04
4
53


WNU98
0.847
1.98E−03
4
 4
WNU98
0.888
6.09E−04
4
12


WNU99
0.826
3.22E−03
6
17
WNU99
0.778
8.06E−03
6
44


WNU99
0.823
3.45E−03
4
53
WNU99
0.741
1.42E−02
4
 4


WNU99
0.838
2.48E−03
4
12





Table 26. “Corr. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 8
Production of Sorghum Transcriptome and High Throughput Correlation Analysis with Biomass, Nue, and Abst Related Parameters Measured in Semi-Hydroponics Conditions Using 44K Sorguhm Oligonucleotide Micro-Arrays
Sorghum Vigor Related Parameters Under Low Nitrogen, 100 mM NaCl, Low Temperature (10±2° C.) and Normal Growth Conditions—Ten Sorghum hybrids were grown in 3 repetitive plots, each containing 17 plants, at a net house under semi-hydroponics conditions. Briefly, the growing protocol was as follows: Sorghum seeds were sown in trays filled with a mix of vermiculite and peat in a 1:1 ratio. Following germination, the trays were transferred to the high salinity solution (100 mM NaCl in addition to the Full Hoagland solution), low temperature (10±2° C. in the presence of Full Hoagland solution), low nitrogen solution (the amount of total nitrogen was reduced in 90% from the full Hoagland solution (i.e., to a final concentration of 10% from full Hoagland solution, final amount of 1.2 mM N) or at Normal growth solution (Full Hoagland containing 16 mM N solution, at 28±2° C.). Plants were grown at 28±2° C.
Full Hoagland solution consists of: KNO3 —0.808 grams/liter, MgSO4 —0.12 grams/liter, KH2PO4 —0.172 grams/liter and 0.01% (volume/volume) of ‘Super coratin’ micro elements (Iron-EDDHA [ethylenediamine-N,N′-bis(2-hydroxyphenylacetic acid)]—40.5 grams/liter; Mn—20.2 grams/liter; Zn 10.1 grams/liter; Co 1.5 grams/liter; and Mo 1.1 grams/liter), solution's pH should be 6.5-6.8].
Analyzed Sorghum tissues—All 10 selected Sorghum hybrids were sampled per each treatment. Three tissues [leaves, meristems and roots] growing at 100 mM NaCl, low temperature (10±2° C.), low Nitrogen (1.2 mM N) or under Normal conditions were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 27 below.







TABLE 27







Sorghum transcriptome expression sets under semi hydroponics conditions








Expression Set
Set ID





Sorghum roots under cold
1


Sorghum roots under Normal Growth
2


Sorghum roots under Low Nitrogen
3


Sorghum roots under 100 mM NaCl
4


Sorghum meristems under cold
5


Sorghum meristems under Low Nitrogen
6


Sorghum meristems under 100 mM NaCl
7


Sorghum meristems under Normal Growth
8





Table 27: Provided are the Sorghum transcriptome expression sets. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen.






Experimental Results
10 different Sorghum hybrids were grown and characterized for the following parameters: “Leaf No”=leaf number per plant (average of five plants); “Plant Height”=plant height [cm] (average of five plants); “DW Root/Plant”—root dry weight per plant (average of five plants); DW Shoot/Plant—shoot dry weight per plant (average of five plants) (Table 28). The average for each of the measured parameter was calculated using the JMP software and values are summarized in Table 29 below. Subsequent correlation analysis was performed (Table 30). Results were then integrated to the database.







TABLE 28







Sorghum correlated parameters (vectors)








Correlated parameter with
Correlation ID











DW Root/Plant-100 mM NaCl [gr]
1


DW Root/Plant-Cold [gr]
2


DW Root/Plant-Low Nitrogen [gr]
3


DW Root/Plant-Normal [gr]
4


DW Shoot/Plant-Low Nitrogen [gr]
5


DW Shoot/Plant-100 mM NaCl [gr]
6


DW Shoot/Plant-Cold [gr]
7


DW Shoot/Plant-Normal [gr]
8


Leaf TP1-100 mM NaCl
9


Leaf TP1-Cold
10


Leaf TP1-Low Nitrogen
11


Leaf TP1-Normal
12


Leaf TP2-100 mM NaCl
13


Leaf TP2-Cold
14


Leaf TP2-Low Nitrogen
15


Leaf TP2-Normal
16


Leaf TP3-100 mM NaCl
17


Leaf TP3-Cold
18


Leaf TP3-Low Nitrogen
19


Leaf TP3-Normal
20


Low N-NUE total biomass
21


Low N-Shoot/Root
22


Low N-NUE roots
23


Low N-NUE shoots
24


Low N-percent-root biomass compared to normal
25


Low N-percent-shoot biomass compared to normal
26


Low N-percent-total biomass reduction 
27


compared to normal



N level/Leaf [Low Nitrogen]
28


N level/Leaf [100 mM NaCl]
29


N level/Leaf [Cold]
30


N level/Leaf [Normal]
31


Normal-Shoot/Root
32


Normal-NUE roots
33


Normal-NUE shoots
34


Normal-NUE total biomass
35


Plant Height TP1-100 mM NaCl [cm2]
36


Plant Height TP1-Cold [cm2]
37


Plant Height TP1-Low Nitrogen [cm2]
38


Plant Height TP1-Normal [cm2]
39


Plant Height TP2-Cold [cm2]
40


Plant Height TP2-Low Nitrogen [cm2]
41


Plant Height TP2-Normal [cm2]
42


Plant Height TP2-100 mM NaCl [cm2]
43


Plant Height TP3-100 mM NaCl [cm2]
44


Plant Height TP3-Low Nitrogen [cm2]
45


GR Leaf Num Normal [number/days]
46


Root Biomass [DW-gr.]/SPAD [100 mM NaCl]
47


Root Biomass [DW-gr.]/SPAD [Cold]
48


Root Biomass [DW-gr.]/SPAD [Low Nitrogen]
49


Root Biomass [DW-gr.]/SPAD [Normal]
50


SPAD-Cold
51


SPAD-Low Nitrogen
52


SPAD-Normal
53


SPAD 100-mM NaCl
54


Shoot Biomass [DW-gr.]/SPAD [100 mM NaCl]
55


Shoot Biomass [DW-gr.]/SPAD [Cold]
56


Shoot Biomass [DW-gr.]/SPAD [Low Nitrogen]
57


Shoot Biomass [DW-gr.]/SPAD [Normal]
58


Total Biomass-Root + Shoot [DW-gr.]/SPAD 
59


[100 mM NaCl]



Total Biomass-Root + Shoot [DW-gr.]/SPAD [Cold]
60


Total Biomass-Root + Shoot [DW-gr.]/SPAD 
61


[Low Nitrogen]



Total Biomass-Root + Shoot [DW-gr.]/SPAD 
62


[Normal]





Table 28: Provided are the Sorghum correlated parameters. Cold conditions = 10 ± 2° C.; NaCl = 100 mM NaCl; low nitrogen = 1.2 mM Nitrogen; Normal conditions = 16 mM Nitrogen * TP1-2-3 refers to time points 1, 2 and 3. The time period between TP1 and TP2 is 8 days and between TP2 and TP3 is 7 days (between TP1 and TP3 is 15 days).













TABLE 29







Sorghum accessions, measured parameters under different conditions (as described above)

















Corr.












ID/Seed












ID
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10




















 4
0.053
0.134
0.173
0.103
0.107
0.120
0.139
0.124
0.099
0.115


 8
0.101
0.236
0.313
0.158
0.194
0.188
0.241
0.244
0.185
0.242


12
3.000
3.067
3.800
3.200
3.233
3.233
3.133
3.433
3.000
3.000


16
4.167
4.500
4.800
4.600
4.533
4.967
4.600
4.933
4.500
4.567


20
5.333
5.867
6.200
5.800
5.800
5.733
5.733
6.000
5.600
6.067


39
7.467
9.300
12.867
8.567
8.933
8.533
10.667
10.267
7.867
8.767


42
14.967
18.233
22.100
17.600
18.067
18.533
22.833
22.033
20.033
21.800


46
0.155
0.186
0.159
0.173
0.171
0.168
0.174
0.171
0.174
0.204


53
26.700
29.333
29.856
29.089
24.978
24.622
30.789
25.500
32.889
33.544


 3
0.044
0.108
0.202
0.104
0.078
0.086
0.130
0.094
0.086
0.092


 5
0.082
0.187
0.328
0.163
0.163
0.156
0.259
0.199
0.130
0.184


11
3.000
3.133
3.867
3.533
3.200
3.133
3.133
3.300
3.067
3.067


15
4.000
4.580
4.967
4.733
4.600
4.700
4.967
4.867
4.667
4.567


19
3.900
4.267
4.700
4.233
4.300
4.567
4.633
4.667
3.967
4.100


38
6.733
9.767
12.700
8.667
9.767
9.233
10.267
10.100
7.933
8.233


41
13.300
20.633
23.700
18.033
19.333
19.200
21.867
22.133
18.200
21.000


45
22.233
31.067
34.667
30.033
30.833
29.867
30.867
32.400
29.367
30.700


52
26.878
28.022
29.644
31.522
29.611
26.822
28.478
28.213
30.478
27.633


 1
0.050
0.104 
0.124
0.069
0.076
0.075
0.135
0.095
0.165
0.139


 6
0.094
0.186
0.202
0.137
0.130
0.133
0.154
0.189
0.099
0.124


 9
3.000
3.133
3.400
3.067
3.333
3.067
3.067
3.267
3.000
3.067


13
4.000
4.367
4.867
4.600
4.500
4.533
4.500
4.767
4.320
4.200


17
4.000
4.133
4.567
4.433
4.067
4.333
4.133
4.500
3.780
4.200


36
7.900
9.500
10.933
7.933
9.700
8.533
8.900
10.367
7.000
7.833


43
14.200
16.267
20.367
13.333
15.900
16.533
15.467
18.933
13.680
15.767


44
21.800
23.167
30.367
22.833
23.700
23.300
22.467
26.833
20.280
23.567


54
32.733
35.144
27.967
30.933
34.533
29.989
32.089
31.856
32.513
34.322


 2
0.068
0.108
0.163
0.093
0.084
0.114
0.137
0.127
0.108
0.139


 7
0.078
0.154
0.189
0.112
0.130
0.165
0.152
0.150
0.112
0.141


10
3.000
3.000
3.500
3.167
3.400
3.200
3.133
3.067
3.067
3.000


14
3.900
4.133
4.633
4.167
4.267
4.233
4.200
4.300
4.167
4.000


18
4.733
5.333
5.433
5.500
5.333
5.067
4.500
5.400
5.367
5.182


37
6.500
8.767
10.400
6.800
9.033
9.000
7.967
9.167
6.500
7.227


40
11.167
15.867
18.433
12.200
16.033
14.633
14.600
17.267
13.433
13.909


51
28.622
30.311
27.044
32.278
28.278
29.889
32.467
28.633
31.711
29.557


30
6.047 
5.683
4.978
5.869
5.302
5.899
7.215
5.302
5.909
5.704


48
0.002
0.004
0.006
0.003
0.003
0.004
0.004
0.004 
0.003
0.005


56
0.003
0.005
0.007
0.003
0.005
0.006
0.005
0.005
0.004
0.005


60
0.005
0.009
0.013
0.006
0.008
0.009
0.009
0.010
0.007
0.009


21
27.528
64.124
115.231
58.017
52.219
35.103
84.575
63.728
47.029
59.998


22
1.875
1.707
1.731
1.568
2.096
1.815
2.062
2.097
1.504
1.999


23
9.647
23.538
43.877
22.580
16.886
12.440
28.194
20.528
18.756
20.086


24
17.881
40.586
71.354
35.436
35.333
22.663
56.381
43.200
28.273
39.912


25
84.528
80.954
117.004
100.519
72.538
71.777
93.472
76.051
86.820
80.511


26
81.573
79.164
104.754
103.497
83.707
83.215
107.689
81.386
70.300
75.859


27
82.585
79.812
109.104
102.317
79.737
78.767
102.492
79.588
76.073
77.355


28
6.892
6.568
6.307
7.446
6.886
5.873
6.146
6.046
7.683
6.740


49
0.002
0.004
0.007
0.003
0.003
0.003
0.005
0.003
0.003
0.003


57
0.003
0.007
0.011
0.005
0.005
0.006
0.009
0.007
0.004
0.007


61
0.005
0.011
0.018
0.008
0.008
0.009
0.014
0.010
0.007
0.010


29
8.183
8.503
6.124
6.977
8.492
6.921
7.763
7.079
8.601
8.172


47
0.002
0.003
0.004
0.002
0.002
0.003
0.004
0.003
0.005
0.004


55
0.003
0.005
0.007
0.004
0.004
0.004
0.005
0.006
0.003
0.004


59
0.004
0.008
0.012
0.007
0.006
0.007
0.009
0.009
0.008
0.008


31
5.006
5.000
4.815
5.015
4.307
4.295
5.370
4.250
5.873
5.529


32
1.984
1.936
1.897
1.586
1.813
1.579
1.759
1.988
1.895
2.198


33
0.861
2.193
2.828
1.694
1.755
1.960
2.275
2.036
1.086
1.881


34
1.653
3.866
5.137
2.582
3.183 
3.081
3.948
4.003
2.022
3.968


35
2.514
6.059
7.964
4.276
4.939 
5.041
6.223
6.038
3.108
5.849


50
0.002
0.005 
0.006
0.004
0.004
0.005
0.005
0.005
0.003
0.003


58
0.004
0.008
0.010
0.005
0.008 
0.008
0.008
0.010
0.006
0.007


62
0.006
0.013 
0.016
0.009
0.012
0.012
0.012
0.014
0.009
0.011





Table 29: Provided are the values of each of the parameters (as described above) measured in Sorghum accessions (Seed ID) under low nitrogen, cold, salinity and normal conditions. Growth conditions are specified in the experimental procedure section.













TABLE 30







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under different conditions as


described above across sorghum accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB101
0.720
6.82E−02
3
26
LAB572
0.749
5.25E−02
3
25


WNU100
0.854
1.45E−02
3
49
WNU100
0.783
3.75E−02
3
 3


WNU100
0.741
5.70E−02
3
15
WNU100
0.890
7.31E−03
3
 5


WNU100
0.858
1.34E−02
3
45
WNU100
0.835
1.95E−02
3
23


WNU100
0.905
5.03E−03
3
61
WNU100
0.903
5.32E−03
3
24


WNU100
0.899
5.89E−03
3
21
WNU100
0.895
6.44E−03
3
57


WNU100
0.874
1.01E−02
3
41
WNU101
0.864
1.23E−02
3
49


WNU101
0.767
4.41E−02
3
 3
WNU101
0.762
4.67E−02
3
 5


WNU101
0.846
1.65E−02
3
61
WNU101
0.800
3.06E−02
3
57


WNU101
0.819
6.89E−03
2
50
WNU101
0.833
5.25E−03
2
35


WNU101
0.823
6.41E−03
2
34
WNU101
0.730
2.55E−02
2
 8


WNU101
0.815
7.45E−03
2
20
WNU101
0.745
2.13E−02
2
 4


WNU101
0.844
4.26E−03
2
58
WNU101
0.847
4.00E−03
2
62


WNU101
0.827
5.97E−03
2
33
WNU101
0.831
5.51E−03
5
 7


WNU101
0.712
3.14E−02
5
48
WNU101
0.707
3.31E−02
5
 2


WNU101
0.787
1.19E−02
5
56
WNU101
0.773
1.46E−02
5
60


WNU101
0.750
1.98E−02
8
50
WNU101
0.759
1.77E−02
8
35


WNU101
0.756
1.85E−02
8
34
WNU101
0.767
1.58E−02
8
20


WNU101
0.759
1.78E−02
8
58
WNU101
0.763
1.68E−02
8
62


WNU101
0.747
2.06E−02
8
33
WNU101
0.729
1.68E−02
1
 7


WNU101
0.704
2.31E−02
1
60
WNU105
0.749
2.02E−02
5
30


WNU3
0.741
5.67E−02
3
15
WNU3
0.729
6.32E−02
3
45


WNU3
0.763
1.68E−02
2
12
WNU3
0.778
1.35E−02
2
39


WNU91
0.703
7.80E−02
3
49
WNU91
0.802
2.99E−02
3
 3


WNU91
0.737
5.87E−02
3
15
WNU91
0.833
2.01E−02
3
 5


WNU91
0.853
1.46E−02
3
45
WNU91
0.889
7.46E−03
3
23


WNU91
0.710
7.39E−02
3
61
WNU91
0.933
2.18E−03
3
24


WNU91
0.939
1.74E−03
3
21
WNU91
0.779
3.90E−02
3
41


WNU91
0.763
1.69E−02
7
54
WNU91
0.769
1.55E−02
8
31


WNU91
0.813
7.69E−03
8
53
WNU93
0.729
6.28E−02
3
25


WNU94
0.879
9.08E−03
3
52
WNU94
0.862
1.27E−02
3
28


WNU94
0.886
1.49E−03
7
 1
WNU94
0.904
8.23E−04
7
59


WNU94
0.902
8.90E−04
7
47
WNU96
0.711
7.33E−02
3
28


WNU96
0.716
3.02E−02
7
47
WNU97
0.930
2.42E−03
3
49


WNU97
0.828
2.14E−02
3
 3
WNU97
0.940
1.62E−03
3
 5


WNU97
0.838
1.86E−02
3
45
WNU97
0.986
4.67E−05
3
61


WNU97
0.788
3.53E−02
3
38
WNU97
0.702
7.88E−02
3
19


WNU97
0.975
1.94E−04
3
57
WNU97
0.912
4.17E−03
3
41


WNU97
0.704
3.44E−02
6
49
WNU97
0.735
2.41E−02
6
 3


WNU97
0.727
2.64E−02
6
15
WNU97
0.743
2.18E−02
6
 5


WNU97
0.735
2.40E−02
6
11
WNU97
0.735
2.41E−02
6
23


WNU97
0.708
3.30E−02
6
61
WNU97
0.743
2.18E−02
6
24


WNU97
0.749
2.03E−02
6
21
WNU98
0.777
3.99E−02
3
52


WNU98
0.733
6.09E−02
3
28
WNU98
0.742
2.21E−02
7
47


WNU99
0.706
7.63E−02
3
 3
WNU99
0.785
3.66E−02
3
15


WNU99
0.716
7.06E−02
3
45
WNU99
0.756
4.90E−02
3
23


WNU99
0.815
2.56E−02
3
52
WNU99
0.750
1.99E−02
5
 7


WNU99
0.742
2.20E−02
5
48
WNU99
0.796
1.03E−02
5
56


WNU99
0.793
1.08E−02
5
60
WNU99
0.732
2.51E−02
5
37


WNU99
0.835
5.09E−03
5
40
WNU99
0.705
3.38E−02
5
14





Table 30 “Corr. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 9
Production of Maize Transcriptome and High Throughput Correlation Analysis with Yield and Nue Related Parameters when Grown Under Normal or Reduced Nitrogen Fertilization Using 60K Maize Oligonucleotide Micro-Arrays
In order to produce a high throughput correlation analysis between plant phenotype and gene expression level, the present inventors utilized a maize oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 44,000 maize genes and transcripts.
Correlation of Maize Hybrids Across Ecotypes Grown Under Low Nitrogen Conditions
Experimental Procedures
12 Maize hybrids were grown in 3 repetitive plots, in field. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols (485 metric cubes of water per dunam, 30 units of uran 21% fertilization per entire growth period) and 50% of commercial fertilization for low N treatment. In order to define correlations between the levels of RNA expression with NUE and yield components or vigor related parameters, the 12 different maize hybrids were analyzed. Among them, 11 hybrids encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Analyzed Maize tissues—All 11 selected maize hybrids were sampled per each treatment (low N and normal conditions), in three time points (TP2=V6-V8 (six to eight collar leaf are visible, rapid growth phase and kernel row determination begins), TP5=R1−R2 (silking-blister), TP6=R3−R4 (milk-dough). Four types of plant tissues [Ear, flag leaf indicated in Tables 31-32 as leaf, grain distal part, and internode] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 31-32 below.







TABLE 31







Maize transcriptome expression sets under normal conditions










Expression Set
Set ID







Maize field Normal Ear R1-R2
1



Maize field Normal Grain Distal R4-R5
2



Maize field Normal Internode R3-R4
3



Maize field Normal Leaf R1-R2
4



Maize field Normal Ear R3-R4
5



Maize field Normal Internode R1-R2
6



Maize field Normal Internode V6-V8
7



Maize field Normal Leaf V6-V8
8







Table 31: Provided are the maize transcriptome expression sets. Leaf = the leaf below the main ear; Internodes = internodes located above and below the main ear in the plant.













TABLE 32







Maize transcriptome expression sets under low N conditions








Expression Set
Set ID





Maize field Low N Ear TP5
1


Maize field Low N Ear TP6
2


Maize field Low N Internodes TP2
3


Maize field Low N Internodes TP5
4


Maize field Low N Internodes TP6
5


Maize field Low N Leaf TP2
6


Maize field Low N Leaf TP5
7


Maize field Low N Leaf TP6
8





Table 32.






The following parameters were collected using digital imaging system:

Grain Area (cm2)—At the end of the growing period the grains were separated from the ear. A sample of  ̃200 grains were weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
Grain Length and Grain width (cm)—At the end of the growing period the grains were separated from the ear. A sample of  ̃200 grains were weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths/or width (longest axis) was measured from those images and was divided by the number of grains.
Ear Area (cm2)—At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear area was measured from those images and was divided by the number of Ears.
Ear Length and Ear Width (cm)—At the end of the growing period 5 ears were, photographed and images were processed using the below described image processing system. The Ear length and width (longest axis) was measured from those images and was divided by the number of ears.
The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).
The following parameters were collected were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.
Seed yield per plant (Kg.)—At the end of the experiment all ears from plots within blocks A-C were collected. 6 ears were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot). In case of 6 ears, the total grains weight of 6 ears was divided by 6.
Ear weight per plot (gr.)—At the end of the experiment (when ears were harvested) total and 6 selected ears per plots within blocks were collected separately. The plants with (total and 6) were weighted (gr.) separately and the average ear per plant was calculated for Ear weight per plot (total of 42 plants per plot).
Plant height and Ear height—Plants were characterized for height at harvesting. In each measure, 6 plants were measured for their height using a measuring tape. Height was measured from ground level to top of the plant below the tassel. Ear height was measured from the ground level to the place were the main ear is located
Leaf number per plant—Plants were characterized for leaf number during growing period at 5 time points. In each measure, plants were measured for their leaf number by counting all the leaves of 3 selected plants per plot.
SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed 64 days post sowing. SPAD meter readings were done on young fully developed leaf. Seven measurements per leaf were taken per plot. Data were taken after once per weeks after sowing.
Dry weight per plant—At the end of the experiment (when Inflorescence were dry) all vegetative material from plots within blocks A-C were collected.
Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours;
Ear length of Filled Ear [cm]—it was calculated as the length of the ear with grains out of the total ear.
Ear length and width [cm]—it was calculated as the length and width of the ear in the filled. Measurement was performed in 6 plants per each plot.
Kernel Row Number per Ear—The number of rows in each ear was counted.
Stalk width [cm]—The diameter of the stalk was measured in the internode located below the main ear. Measurement was performed in 6 plants per each plot.
Leaf area index [LAI]—total leaf area of all plants in a plot. Measurement was performed using a Leaf area-meter.
NUE [kg/kg]—is the ratio between total grain yield per total N applied in soil.
NUpE [kg/kg]—is the ratio between total plant biomass per total N applied in soil.
Yield/stalk width [kg/cm]—is the ratio between total grain yields and the width of the stalk.
Yield/LAI [kg]—is the ratio between total grain yields and total leaf area index.
Experimental Results
11 different maize hybrids were grown and characterized for different parameters. Tables 33-34 describe the Maize correlated parameters. The average for each of the measured parameters (Tables 35-36) was calculated using the JMP software and a subsequent correlation analysis was performed (Tables 37-38). Results were then integrated to the database.







TABLE 33







Maize correlated parameters (vectors) under normal conditions









Correlation


Correlated parameter with
ID











Normal-Final Plant DW [kg]
1


Normal-Ear Length [cm]
2


Normal-Ear length of filled area [cm]
3


Normal-Ear width [mm]
4


Normal-Final Leaf Number
5


Normal-Final Main Ear Height [cm]
6


Normal-Final Plant Height [cm]
7


Normal-Leaf No TP5
8


Normal-Leaf No TP2
9


Normal-Leaf No TP3
10


Normal-Leaf No TP4
11


Normal-No of rows per ear
12


Normal-Plant Height TP4 [cm]
13


Normal-Plant Height TP5 [cm]
14


Normal-Plant Height TP1 [cm]
15


Normal-Plant Height TP2 [cm]
16


Normal-Plant Height TP3 [cm]
17


Normal-SPAD TP6 R1-2
18


Normal-SPAD TP3
19


Normal-SPAD TP4 Most of the Plants at flowering
20


Normal-SPAD TP5
21


Normal-SPAD TP1
22


Normal-SPAD TP2
23


Normal-SPAD TP7 R3-R4
24


Normal-SPAD TP8 R3-R4
25


Normal-Stalk width TP7 [cm]
26


Normal-Ear weight per plot (42 plants per plot) 
27


[0-RH] [kg]



Normal-LAI 
28


Normal-NUE yield kg/N applied in soil kg 
29


Normal-NUE at early grain filling [R1-R2] yield 
30


Kg/N in plant SPAD



Normal-NUE at grain filling [R3-R4] yield Kg/ N 
31


in plant SPAD



Normal-NUpE [biomass/N applied] 
32


Normal-Seed yield per dunam [kg] 
33


Normal-Yield/LAI 
34


Normal-Yield/stalk width 
35


Normal-seed yield per 1 plant rest of the plot 
36


[0-RH] [kg]





Table 33. “cm” = centimeters’ “mm” = millimeters; “kg” = kilograms; SPAD at R1-R2 and SPAD R3-R4: Chlorophyll level after early and late stages of grain filling; “NUE” = nitrogen use efficiency; “NUE” = nitrogen uptake efficiency; “LAI” =leaf area; “N” = nitrogen; Low N = under low Nitrogen conditions; “Normal” = under normal conditions; “dunam” = 1000 m2. “TP” = time point.













TABLE 34







Maize correlated parameters (vectors) under low N conditions











Correlation



Correlated parameter with
ID














Low N-Ear Length [cm]
1



Low N-Ear length of filled area [cm]
2



Low N-Ear width [mm]
3



Low N-Final Leaf Number
4



Low N-Final Main Ear Height [cm]
5



Low N-Final Plant Height [cm]
6



Low N-Leaf No TP5
7



Low N-Leaf No TP1
8



Low N-Leaf No TP2
9



Low N-Leaf No TP3
10



Low N-Leaf No TP4
11



Low N-No of rows per ear
12



Low N-Plant Height TP4 [cm]
13



Low N-Plant Height TP5 [cm]
14



Low N-Plant Height TP1 [cm]
15



Low N-Plant Height TP2 [cm]
16



Low N-Plant Height TP3 [cm]
17



Low N-SPAD TP6 R1-2
18



Low N-SPAD TP3
19



Low N-SPAD TP4 Most of the Plants at flowering
20



Low N-SPAD TP5
21



Low N-SPAD TP1
22



Low N-SPAD TP2
23



Low N-SPAD TP8 R3-R4
24



Low N-Stalk width TP7 [cm]
25



Low N-Ear weight per plot (42 plants per plot) [0-RH]
26



Low N-Final Plant DW [kg]
27



Low N-LAI
28



Low N-NUE yield kg/N applied in soil kg
29



Low N-NUE at early grain filling [R1-R2] yield Kg/N
30



in plant SPAD




Low N-NUE at grain filling [R3-R4] yield Kg/N 
31



in plant SPAD




Low N-NUpE [biomass/N applied]
32



Low N-Seed yield per dunam [kg]
33



Low N-Yield/LAI
34



Low N-Yield/stalk width
35



Low N-seed yield per 1 plant rest of the plot [0-RH] [kg]
36







Table 34. Provided are the values of each of the parameters (as described above) measured in maize accessions (Seed ID) under low nitrogen fertilization. Growth conditions are specified in the experimental procedure section. “TP” = time point.













TABLE 35







Measured parameters in Maize accessions under normal fertilization


















Cor.













ID/L
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11





















 1
1.3
1.3
1.3
1.5
1.3
1.6
1.4
1.4
11.4
1.7
0.4


 2
19.9
20.2
18.1
19.9
19.5
17.7
17.7
17.3
20.5
17.5
19.9


 3
16.2
17.5
17.7
18.4
15.7
14.7
12.9
14.0
18.8
12.3
16.1


 4
51.1
46.3
45.9
47.6
51.4
47.4
47.3
46.8
49.3
48.3
41.8


 5
11.8
11.1
13.3
11.8
11.9
12.3
12.4
12.2
12.6
11.7
9.3


 6
130.3
122.3
127.7
113.0
135.3
94.3
120.9
107.7
112.5
139.7
60.4


 7
273.5
260.5
288.0
238.5
286.9
224.8
264.4
251.6
278.4
279.0
163.8


 8
12.4
12.8
14.2
13.4
12.8
14.0
13.3
14.3
14.6
12.8
11.6


 9
7.3
8.8
9.5
8.9
7.1
10.1
9.2
9.7
9.2
7.4
8.9


10
8.4
10.3
10.8
10.4
7.9
11.8
10.8
11.5
11.3
8.7
10.6


11
9.4
11.1
11.8
11.3
9.0
11.4
11.2
11.8
12.0
9.3
10.8


12
16.1
14.7
15.4
15.9
16.2
15.2
16.0
14.8
15.4
17.7
14.3


13
74.3
33.4
75.8
55.9
72.3
58.1
62.2
58.7
51.6
75.7
64.3


14
100.9
168.5
182.7
159.7
102.3
173.5
156.7
185.2
178.2
121.9
152.8


15
27.0
70.7
70.3
67.5
23.8
63.2
59.4
65.1
58.7
25.1
61.2


16
10.6
24.4
25.1
25.8
8.7
34.2
21.2
24.5
22.4
9.1
24.4


17
19.8
45.3
48.0
45.7
16.9
44.9
38.8
48.6
45.4
17.9
40.9


18
56.9
57.2
59.3
61.6
58.6
61.2
60.2
61.1
62.2
57.5
52.0


19
60.3
55.8
60.3
58.6
60.4
53.7
56.2
55.2
52.8
57.3
57.2


20
54.6
57.2
56.0
58.7
54.8
59.1
58.0
60.4
61.1
53.3
51.4


21
50.6
55.7
53.2
58.0
51.7
58.7
55.9
56.8
59.7
51.1
51.8


22
49.6
48.4
45.7
49.8
48.3
48.2
45.4
47.9
46.2
48.9
42.4


23
50.9
46.7
43.7
50.5
51.0
49.0
46.5
46.7
49.4
50.9
45.9


24
59.9
60.9
56.9
58.7
58.7
63.2
59.8
62.4
61.9
57.2
49.3


25
2.9
2.6
2.7
2.9
2.7
2.6
2.9
2.7
2.8
2.7
2.3


26
5.7
7.8
7.6
7.1
5.1
7.9
7.5
8.0
7.7
5.3
7.1


27
8.9
7.0
7.5
8.0
8.5
5.6
6.1
6.7
8.4
8.2
1.9


29
4.5
3.6
4.0
4.2
4.0
3.1
3.3
3.5
4.6
4.1
1.0


30
23.4
19.1
20.3
20.7
20.5
15.4
16.4
17.2
22.0
21.0
5.7


31
25.0
17.8
20.3
20.0
19.0
13.9
16.2
17.2
21.0
21.5
5.5


32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.0
0.0


33
1335.6
1087.1
1202.5
1271.2
1203.0
937.1
985.9
1050.1
1365.3
1226.1
300.9


35
456.7
412.4
443.4
438.7
446.7
357.0
337.5
385.8
481.9
471.6
139.7


36
0.2
0.1
0.2
0.2
0.2
0.1
0.1
0.1
0.2
0.2
0.0


28
3.2
3.9
3.3
4.0
3.9
4.2
4.0
4.3
2.9
4.3



34
426.1
313.0
307.3
362.4
314.1
224.6
266.4
261.7
482.3
















TABLE 36







Measured parameters in Maize accessions under low Nitrogen fertilization


















Cor.













ID/L
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11





















 1
20.6
21.0
20.2
20.1
20.1
18.5
19.1
18.3
20.1
17.8
21.3


 2
18.4
18.4
19.8
18.8
16.2
16.0
15.3
15.7
16.8
14.1
19.6


 3
46.7
48.2
48.3
49.9
52.9
47.4
49.6
48.6
52.4
42.6
50.0


 4
15.0
11.6
13.5
11.6
11.8
11.9
12.6
11.7
12.4
9.3
13.2


 5
158.1
136.2
128.4
133.1
137.8
99.6
130.2
114.6
143.9
61.6
114.4


 6
305.8
270.9
290.6
252.2
260.2
227.2
271.7
248.6
279.3
171.3
269.8


 7
12.7
12.4
14.4
13.1
12.2
14.3
13.6
14.9
11.6
11.7
14.9


 8
6.5
7.9
7.7
7.2
5.0
8.6
7.5
8.4
5.2
7.4
7.8


 9
8.2
8.3
8.6
8.2
7.6
10.4
8.1
8.6
6.6
8.1
8.8


10
9.7
10.3
10.4
10.4
7.9
11.2
10.1
11.6
7.7
10.4
10.9


11
11.2
11.6
12.1
11.5
8.9
11.8
11.4
12.3
8.9
11.1
12.1


12
14.2
15.2
15.0
15.7
16.0
15.9
15.6
14.5
16.4
14.4
15.7


13
71.5
75.6
59.7
68.3
69.0
48.8
72.7
79.5
65.5
42.6
68.6


14
132.9
193.7
183.8
162.6
96.8
177.6
161.6
191.7
94.5
170.1
184.6


15
34.5
72.9
70.5
65.6
21.2
60.4
58.4
67.5
21.3
64.3
60.4


16
16.2
24.5
23.4
24.1
8.9
22.2
20.7
23.6
8.1
24.0
22.6


17
30.1
49.2
47.3
46.4
19.8
46.2
38.1
52.6
15.6
43.1
44.7


18
60.2
57.9
58.8
59.5
58.5
64.0
56.4
60.0
58.3
53.1
61.7


19
52.4
55.4
56.1
58.7
53.7
53.7
56.7
60.1
54.9
52.8
57.8


20
54.0
56.4
56.8
59.8
53.9
60.2
57.8
60.1
53.5
51.5
59.9


21
53.8
55.0
52.7
56.6
50.4
59.1
56.1
58.4
50.5
51.3
56.4


22
52.6
48.1
43.4
47.0
47.0
49.8
49.0
50.0
49.7
44.3
61.3


23
55.8
46.7
45.4
48.8
48.6
50.9
47.2
47.9
51.2
45.5
49.0


24
59.3
57.6
58.4
59.2
58.2
62.7
61.0
59.9
57.5
49.6
61.9


25
2.8
2.4
2.7
2.8
2.7
2.6
3.0
2.6
2.7
2.3
2.8


26
6.6
8.0
9.6
9.2
7.6
7.2
7.9
29.0
7.8
2.4
9.8


27
1.6
1.4
1.5
2.0
1.5
1.6
1.6
1.3
1.5
0.4
1.5


29
7.2
8.4
10.3
10.0
7.6
7.7
8.0
8.3
7.6
2.6
10.6


30
18.0
21.8
26.3
25.1
19.5
18.0
21.4
20.8
19.7
7.2
25.7


31
18.4
21.9
26.5
25.3
19.7
18.5
19.8
20.9
19.9
7.7
25.9


32
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0


33
1083.7
1261.6
1549.2
1497.9
1143.9
1159.3
1207.4
1250.1
1146.0
383.2
1589.9


35
416.5
528.4
583.5
541.0
428.1
444.3
407.2
477.4
445.6
167.9
562.3


36
0.1
0.2
0.2
0.2
0.1
0.1
0.2
0.2
0.1
0.0
0.2


28
2.9
3.2
3.3
2.9
2.8
3.8
3.5
5.0


3.2


34
341.5
408.1
464.8
522.3
439.5
312.6
345.9
287.7


501.2





Table 36: Provided are the values of each of the parameters (as described above) measured in maize accessions (Seed ID) under low nitrogen fertilization. Growth conditions are specified in the experimental procedure section.













TABLE 37







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal fertilization


conditions across maize accessions
















Gene


Exp. 
Corr.
Gene


Exp. 
Corr.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB290H0
0.719
1.07E−01
1
28
LAB290_H0
0.711
1.13E−01
5
20


LAB290_H0
0.803
5.43E−02
5
32
LAB290_H0
0.904
1.35E−02
5
 8


LAB290_H0
0.752
8.49E−02
5
17
LAB290_H0
0.763
7.74E−02
5
14


LAB290_H0
0.803
5.43E−02
5
 1
LAB290_H0
0.712
1.13E−01
5
18


LAB290_H0
0.767
7.51E−02
5
11
LAB290_H0
0.815
2.56E−02
4
16


LAB290_H0
0.747
3.33E−02
3
22
LAB290_H0
0.838
1.86E−02
6
20


LAB290_H0
0.766
4.48E−02
6
22
LAB290_H0
0.847
1.62E−02
6
21


LAB290_H0
0.854
1.44E−02
6
24
LAB290_H0
0.712
7.27E−02
6
 8


LAB290_H0
0.759
4.79E−02
6
16
LAB290_H0
0.770
4.27E−02
6
 4


LAB290_H0
0.715
7.10E−02
6
10
LAB290_H0
0.734
6.06E−02
6
 9


LAB290_H0
0.875
9.83E−03
6
18
LYM213
0.796
5.83E−02
5
 5


LYM213
0.750
8.56E−02
5
17
LYM213
0.742
9.11E−02
5
14


LYM213
0.782
6.62E−02
5
15
LYM213
0.735
3.78E−02
2
20


LYM213
0.719
4.43E−02
2
 8
LYM213
0.785
2.09E−02
2
18


LYM213
0.717
1.97E−02
8
 3
WNU104
0.912
4.19E−03
1
26


WNU104
0.823
2.30E−02
1
14
WNU104
0.758
4.81E−02
1
 9


WNU104
0.943
4.71E−03
5
28 
WNU104
0.778
6.87E−02
5
24


WNU104
0.715
1.10E−01
5
 9
WNU104
0.735
3.79E−02
2
 4


WNU104
0.702
7.87E−02
4
24
WNU104
0.964
4.62E−04
4
26


WNU104
0.857
1.37E−02
4
14
WNU104
0.802
1.67E−02
3
25


WNU104
0.838
1.85E−02
6
26
WNU104
0.840
1.79E−02
6
14


WNU104
0.746
2.11E−02
7
 3
WNU75
0.827
2.18E−02
1
 3


WNU75
0.730
9.93E−02
1
34
WNU75
0.762
2.81E−02
2
 5


WNU75
0.834
2.70E−03
8
25
WNU75
0.707
2.22E−02
8
 4


WNU75
0.891
5.34E−04
8
12
WNU75
0.801
3.03E−02
4
25


WNU75
0.788
3.53E−02
4
 3
WNU75
0.784
3.69E−02
4
33


WNU75
0.751
5.17E−02
4
35
WNU75
0.784
3.70E−02
4
27


WNU75
0.788
3.53E−02
4
30
WNU75
0.784
3.69E−02
4
29


WNU75
0.774
4.12E−02
4
31
WNU75
0.738
5.83E−02
4
 6


WNU75
0.869
1.11E−02
4
12
WNU75
0.784
3.69E−02
4
36


WNU75
0.855
1.42E−02
6
22
WNU75
0.721
6.77E−02
6
25


WNU75
0.768
4.37E−02
6
12
WNU76
0.897
6.14E−03
1
 7


WNU76
0.827
2.18E−02
1
20
WNU76
0.745
5.49E−02
1
22


WNU76
0.818
2.47E−02
1
25
WNU76
0.824
2.27E−02
1
21


WNU76
0.763
4.60E−02
1
24
WNU76
0.800 
3.07E−02
1
33


WNU76
0.785
3.65E−02
1
35
WNU76
0.805
2.88E−02
1
27


WNU76
0.800
3.07E−02
1
30
WNU76
0.800
3.07E−02
1
29


WNU76
0.862
1.26E−02
1
 4
WNU76
0.837
1.88E−02
1
31


WNU76
0.861
1.28E−02
1
 6
WNU76
0.800
3.07E−02
1
36


WNU76 
0.713
7.19E−02
1
18
WNU76
0.725
1.03E−01
5
24


WNU76
0.834
3.92E−02
5
23
WNU76
0.755
3.05E−02
2
 4


WNU76
0.778
3.95E−02
4
 7
WNU76
0.750
5.20E−02
4
20


WNU76
0.779
3.92E−02
4
24
WNU76
0.701
7.90E−02
4
33


WNU76
0.733
6.08E−02
4
26
WNU76
0.731
6.19E−02
4
35


WNU76
0.723
6.62E−02
4
27
WNU76
0.713
7.19E−02
4
30


WNU76
0.701
7.90E−02
4
29
WNU76
0.852
1.49E−02
4
17


WNU76
0.728
6.38E−02
4
31
WNU76
0.761
4.68E−02
4
 6


WNU76
0.789
3.47E−02
4
14
WNU76
0.701 
7.90E−02
4
36


WNU76
0.915
3.91E−03
6
20
WNU76
0.853
1.46E−02
6
22


WNU76
0.795
3.28E−02
6
25
WNU76
0.916
3.72E−03
6
21


WNU76
0.902
5.42E−03
6
24
WNU76
0.714
7.17E−02
6
 3


WNU76
0.753
5.06E−02
6
33
WNU76
0.711
7.34E−02
6
23


WNU76
0.746
5.43E−02
6
35
WNU76
0.750
5.24E−02
6
27


WNU76
0.739
5.75E−02
6
30
WNU76
0.753
5.06E−02
6
29


WNU76
0.900
5.70E−03
6
 4
WNU76
0.769
4.31E−02
6
31


WNU76
0.876
9.66E−03
6
12
WNU76
0.753
5.06E−02
6
36


WNU76
0.813
2.62E−02
6
18
WNU76
0.774
1.43E−02
7
25


WNU76
0.751
1.96E−02
7
24
WNU76
0.796
1.03E−02
7
 8


WNU76
0.746
2.10E−02
7
 5
WNU78
0.753
3.11E−02
2
13


WNU78
0.716
3.02E−02
8
28
WNU78
0.840
1.79E−02
4
15


WNU78
0.833
1.99E−02
6
23
WNU80
0.841
3.57E−02
1
28


WNU80
0.835
1.94E−02
1
22
WNU80
0.900
5.80E−03
1
26


WNU80
0.803
2.96E−02
1
17
WNU80
0.752
5.13E−02
1
10


WNU80
0.784
3.71E−02
1
14
WNU80
0.881
8.88E−03
1
 9


WNU80
0.800
5.60E−02
5
28
WNU80
0.835
9.95E−03
2
 8


WNU80
0.717
4.51E−02
2
26
WNU80
0.846
8.07E−03
2
 5


WNU80
0.755
3.05E−02
2
10
WNU80
0.766
2.68E−02
2
14


WNU80
0.778
2.31E−02
2
 9
WNU80
0.727
4.12E−02
2
11


WNU80
0.894
6.56E−03
4
16
WNU80
0.850
1.54E−02
4
10


WNU80
0.861
1.27E−02
4
 9
WNU80
0.736
3.74E−02
3
22


WNU80
0.790
6.15E−02
6
28
WNU80
0.765
4.49E−02
6
 7


WNU80
0.702
7.89E−02
6
25
WNU80
0.717
7.00E−02
6
33


WNU80
0.867
1.16E−02
6
 8
WNU80
0.725
6.54E−02
6
26


WNU80
0.733
6.08E−02
6
35
WNU80
0.869
1.12E−02
6
16


WNU80
0.713
7.22E−02
6
27
WNU80
0.913
4.13E−03
6
 5


WNU80
0.705
7.67E−02
6
30
WNU80
0.717
7.00E−02
6
29


WNU80
0.970
3.02E−04
6
17
WNU80
0.742
5.64E−02
6
31


WNU80
0.739
5.78E−02
6
 6
WNU80
0.860
1.30E−02
6
14


WNU80
0.717
7.00E−02
6
36
WNU80
0.797
3.19E−02
6
 9


WNU80
0.775
4.06E−02
6
18
WNU80
0.783
3.74E−02
6
11


WNU80
0.791
1.94E−02
7
28
WNU81
0.775
4.08E−02
1
16


WNU81
0.734
6.04E−02
1
10
WNU81
0.886
7.94E−03
1
 9


WNU81
0.787
6.29E−02
5
12
WNU81
0.866
5.47E−03
2
24


WNU81
0.829
2.11E−02
4
16
WNU82
0.778
3.96E−02
1
13


WNU82
0.906
1.29E−02
5
25
WNU82
0.830
4.08E−02
5
12


WNU82
0.732
3.90E−02
2
23
WNU82
0.809
1.50E−02
2
 4


WNU82
0.889
1.77E−02
6
28
WNU83
0.716
1.10E−01
5
 5


WNU83
0.729
4.03E−02
2
12
WNU83
0.704
5.11E−02
2
 9


WNU83
0.710
4.87E−02
2
11





Table 37. “Corr. ID”— correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” =p value.













TABLE 38







Correlation between the expression level of WNU selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under low nitrogen fertilization


conditions across maize accessions
















Gene


Exp. 
Cor.
Gene


Exp. 
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





LAB290_H0
0.831
5.55E−03
5
23
LAB290_H0
0.741
9.19E−02
6
28


LAB290_H0
0.745
8.94E−02
6
20
LAB290_H0
0.727
1.02E−01
6
19


LAB290_H0
0.702
1.20E−01
6
21
LAB290_H0
0.849
3.23E−02
6
13


LAB290_H0
0.728
1.01E−01
6
26
LAB290_H0
0.773
4.17E−02
7
28


LAB290_H0
0.784
2.13E−02
7
 8
LAB290_H0
0.701
5.29E−02
7
17


LAB290_H0
0.816
1.34E−02
7
21
LAB290_H0
0.735
3.78E−02
2
 8


LAB290_H0
0.889
7.43E−03
4
16
LAB290_H0
0.720
6.80E−02
4
18


LYM213
0.758
8.05E−02
6
 3
LYM213
0.813
4.94E−02
6
22


LYM213
0.887
7.81E−03
2
28
LYM213
0.794
3.30E−02
4
25


LYM213
0.805
2.88E−02
4
 3
WNU104
0.702
1.20E−01
1
28


WNU104
0.931
2.31E−03
1
 8
WNU104
0.725
6.54E−02
1
21


WNU104
0.733
6.08E−02
1
 7
WNU104
0.758
4.84E−02
1
18


WNU104
0.958
6.89E−04
1
 9
WNU104
0.708
7.53E−02
1
23


WNU104
0.876
9.64E−03
1
10
WNU104
0.850
7.54E−03
5
28


WNU104
0.736
2.37E−02
5
26
WNU104
0.808
5.19E−02
6
11


WNU104
0.703
1.19E−01
6
 5
WNU104 
0.806
5.28E−02
6
34


WNU104
0.702
1.20E−01
6
 2
WNU104
0.801
5.57E−02
6
 1


WNU104
0.857
2.91E−02
6
18
WNU104
0.793
5.96E−02
6
 9


WNU104
0.854
3.03E−02
6
 6
WNU104
0.718
1.08E−01
6
30


WNU104
0.704
2.31E−02
3
 8
WNU104
0.833
2.75E−03
3
20


WNU104
0.785
7.18E−03
3
 7
WNU104
0.731
1.64E−02
3
 9


WNU104
0.765
4.52E−02
2
28
WNU104
0.861
6.01E−03
2
21


WNU104
0.706
5.03E−02
2
 9
WNU104
0.754
5.00E−02
4
20


WNU104
0.722
6.71E−02
4
24
WNU104
0.896
6.38E−03
4
22


WNU104
0.889
7.42E−03
4
 6
WNU75
0.873
2.33E−02
1
34


WNU75
0.913
5.93E−04
5
22
WNU75
0.849
3.27E−02
6
25


WNU75
0.764
1.02E−02
3
25
WNU75
0.767
2.65E−02
8
25


WNU75
0.794
1.86E−02
8
 5
WNU75
0.888
3.23E−03
8
32


WNU75
0.708
4.92E−02
8
 6
WNU75
0.888
3.23E−03
8
27


WNU75
0.758
4.84E−02
4
13
WNU76
0.704
7.77E−02
1
33


WNU76
0.704
7.77E−02
1
29
WNU76
0.948
1.16E−03
1
20


WNU76
0.821
2.36E−02
1
35
WNU76
0.881
8.79E−03
1
21


WNU76
0.905
5.11E−03
1
 2
WNU76
0.879
9.10E−03
1
 1


WNU76
0.704
7.77E−02
1
36
WNU76
0.740
5.72E−02
1
31


WNU76
0.883
8.35E−03
1
24
WNU76
0.839
1.83E−02
1
32


WNU76
0.726
6.45E−02
1
 3
WNU76
0.927
2.63E−03
1
18


WNU76
0.736
5.95E−02
1
15
WNU76
0.731
6.21E−02
1
12


WNU76
0.858
1.34E−02
1
23
WNU76
0.839
1.83E−02
1
27


WNU76
0.744
2.17E−02
5
25
WNU76
0.815
7.50E−03
5
22


WNU76
0.733
9.71E−02
6
33
WNU76
0.884
1.95E−02
6
25


WNU76
0.733
9.71E−02
6
29
WNU76
0.843
3.49E−02
6
34


WNU76
0.777
6.89E−02
6
 2
WNU76
0.733
9.71E−02
6
36


WNU76
0.806
5.26E−02
6
 4
WNU76
0.776
6.96E−02
6
 3


WNU76
0.716
1.98E−02
3
25
WNU76
0.872
4.76E−03
8
25


WNU76
0.776
2.36E−02
8
 4
WNU76
0.817
1.33E−02
8
22


WNU76
0.770
2.53E−02
2
25
WNU76
0.811
1.46E−02
2
 5


WNU76
0.704
5.15E−02
2
13
WNU76
0.716
4.56E−02
2
24


WNU76
0.726
4.14E−02
2
32
WNU76
0.859
6.33E−03
2
 4


WNU76
0.740
3.59E−02
2
18
WNU76
0.773
2.45E−02
2
 6


WNU76
0.833
1.02E−02
2
23
WNU76
0.726
4.14E−02
2
27


WNU76
0.701
7.91E−02
4
33
WNU76
0.701
7.91E−02
4
29


WNU76
0.878
9.34E−03
4
35
WNU76
0.814
2.60E−02
4
16


WNU76
0.773
4.17E−02
4
 2
WNU76
0.701
7.91E−02
4
36


WNU76
0.777
4.00E−02
4
31
WNU77
0.808
2.80E−02
1
 5


WNU77
0.852
1.49E−02
1
 1
WNU77
0.839
1.82E−02
1
 7


WNU77
0.825
2.23E−02
1
 6
WNU77
0.782
1.27E−02
5
22


WNU77
0.818
4.66E−02
6
13
WNU77
0.810
4.46E−03
3
25


WNU77
0.763
4.59E−02
7
28
WNU77
0.810
1.49E−02
2
25


WNU77
0.729
4.01E−02
2
20
WNU77
0.867
5.28E−03
2
21


WNU77
0.891
2.99E−03
2
24
WNU77
0.719
4.42E−02
2
 3


WNU77
0.714
4.65E−02
2
18
WNU77
0.753
5.08E−02
4
16


WNU78
0.874
2.07E−03
5
25
WNU78
0.827
4.21E−02
6
25


WNU78
0.794
5.93E−02
6
 3
WNU78
0.769
2.57E−02
8
25


WNU78
0.714
4.68E−02
7
25
WNU80
0.869
2.46E−02
1
28


WNU80
0.719
6.85E−02
1
33
WNU80
0.837
1.88E−02
1
11


WNU80
0.749
5.25E−02
1
 5
WNU80
0.719
6.85E−02
1
29


WNU80
0.831
2.06E−02
1
14
WNU80
0.896
6.27E−03
1
20


WNU80
0.776
4.01E−02
1
35
WNU80
0.826
2.21E−02
1
21


WNU80
0.719
6.85E−02
1
36
WNU80
0.885
8.17E−03
1
24


WNU80
0.903
5.41E−03
1
 4
WNU80
0.755
4.96E−02
1
 3


WNU80
0.894
6.70E−03
1
 7
WNU80
0.853
1.48E−02
1
18


WNU80
0.783
3.75E−02
1
26
WNU80
0.869
1.12E−02
1
 6


WNU80
0.728
6.39E−02
1
30
WNU80
0.721
2.83E−02
5
33


WNU80
0.931
2.64E−04
5
11
WNU80
0.721
2.83E−02
5
29


WNU80
0.712
3.15E−02
5
20
WNU80
0.759
1.77E−02
5
35


WNU80
0.759
1.77E−02
5
19
WNU80
0.721
2.83E−02
5
36


WNU80
0.726
2.68E−02
5
31
WNU80
0.806
8.74E−03
5
 7


WNU80
0.710
3.21E−02
5
 9
WNU80
0.807
8.58E−03
5
26


WNU80
0.703
3.46E−02
5
30
WNU80
0.719
2.91E−02
5
10


WNU80
0.938 
5.64E−03
6
28
WNU80
0.934
6.37E−03
6
 8


WNU80
0.741
9.22E−02
6
21
WNU80
0.734
9.64E−02
6
 9


WNU80
0.723
1.04E−01
6
26
WNU80
0.730
9.93E−02
6
10


WNU80
0.725
1.76E−02
3
26
WNU80
0.857
1.37E−02
8
28


WNU80
0.884
3.61E−03
8
 8
WNU80
0.728
4.07E−02
8
17


WNU80
0.775
2.38E−02
8
21
WNU80
0.790
1.98E−02
8
18


WNU80
0.944
4.18E−04
8
 9
WNU80
0.724
4.22E−02
8
26


WNU80
0.783
2.16E−02
8
10
WNU80
0.924
2.90E−03
7
28


WNU80
0.874
4.53E−03
7
 8
WNU80
0.711
4.80E−02
7
17


WNU80
0.722
4.30E−02
7
 9
WNU80
0.862
1.14E−02
7
26


WNU80
0.876
4.33E−03
7
10
WNU80
0.721
4.36E−02
2
24


WNU80
0.800
1.71E−02
2
32
WNU80
0.800
1.71E−02
2
27


WNU80
0.891
7.02E−03
4
28
WNU80
0.779
3.88E−02
4
 8


WNU80
0.791
3.43E−02
4
21
WNU80
0.796
3.21E−02
4
26


WNU80
0.915
3.89E−03
4
10
WNU81
0.746
5.41E−02
1
11


WNU81
0.886
7.99E−03
1
17
WNU81
0.712
7.25E−02
1
 1


WNU81
0.765
4.51E−02
1
10
WNU81
0.953
3.26E−03
6
33


WNU81
0.740
9.24E−02
6
 5
WNU81
0.953
3.26E−03
6
29


WNU81
0.837
3.75E−02
6
35
WNU81
0.915
1.06E−02
6
34


WNU81
0.858
2.87E−02
6
 2
WNU81
0.819
4.60E−02
6
 1


WNU81
0.953
3.26E−03
6
36
WNU81
0.960
2.42E−03
6
31


WNU81
0.745
8.91E−02
6
 4
WNU81
0.770
7.30E−02
6
 6


WNU81
0.968
1.53E−03
6
30
WNU81
0.823
3.44E−03
3
 3


WNU81
0.750
3.20E−02
7
 1
WNU81
0.708
7.53E−02
4
21


WNU81
0.825
2.25E−02
4
24
WNU81
0.723
6.62E−02
4
 9


WNU82
0.792
3.38E−02
1
19
WNU82
0.707
7.59E−02
1
13


WNU82
0.767
4.42E−02
1
26
WNU82
0.840
4.64E−03
5
22


WNU82
0.719
1.07E−01
6
 5
WNU82
0.849
1.89E−03
3
25


WNU82
0.771
4.54E−02
8
 5
WNU82
0.757
2.98E−02
2
25


WNU82
0.803
1.63E−02
2
 3
WNU82
0.709
4.89E−02
2
12


WNU83
0.928
7.54E−03
6
 5
WNU83
0.854
3.04E−02
6
 6


WNU83
0.818
2.44E−02
4
28
WNU83
0.812
2.66E−02
4
 5


WNU83
0.708
7.51E−02
4
20
WNU83
0.700
7.98E−02
4
21


WNU83
0.812
2.64E−02
4
26
WNU83
0.704
7.74E−02
4
 6


WNU83
0.863
1.24E−02
4
10





Table 38. “Corr. ID”— correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 10
Production of Maize 60K Transcriptome Oligonucleotide Micro-Arrays
Genes Under Differential Display Associating with Agronomical Nitrogen Use Efficiency
Two maize commercial hybrids and 2 maize inbred lines were grown in 5 repetitive plots in the field under six different N fertilization regimes. Maize seeds were planted and plants were grown in the field using commercial fertilization and irrigation protocols (485 cubic meters of irrigation per dunam, 30 units of 21% uran (N fertilization) per entire growth period-Normal conditions 100% Nitrogen). In addition, the rest of 5 Nitrogen treatments included: 140% of Normal, 50%, 30%, 10% and 0%. In order to define association between the levels of RNA expression with yield components, biomass related parameters and NUE various indices including Agronomical NUE, two maize hybrids and one maize inbred line were selected for RNA expression analysis. The genes up-regulated under certain N fertilization with highest Agronomical NUE or yield or biomass parameters were considered as associated with Agronomical NUE, NUE and yield.
Analyzed Maize tissues—At total 3 maize lines were sampled at V12 developmental stage (tasseling) and R3 (milky) developmental stage. Plant tissues [leaves, lower and upper internodes, flower] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 39 below.







TABLE 39







Maize transcriptome expression sets










Expression Set
Set ID







flower: V12:
1



leaf: R3:
2



leaf: V12:
3



lower intemode: R3: 
4



lower intemode: V12:
5



upper intemode: R3:
6



upper intemode: V12:
7







Table 39: Provided are the maize transcriptome expression sets






The following parameters were collected either by sampling 6 plants per plot or by measuring the parameter across all the plants within the plot.
Grain weight (yield) per plant (kg.)—At the end of the experiment all ears from plots were collected. All ears from the plot were separately threshed and grains were weighted, all additional ears were threshed together and weighted as well. The average grain weight per ear was calculated by dividing the total grain weight by number of total ears per plot (based on plot).
Agronomical NUE (Agronomical Nitrogen Use Efficiency)—Agronomical NUE coefficient measures the ability of plant to efficiently use the each additional unit of Nitrogen added as fertilizer and was calculated using Formula XXXVI (Agronomical NUE, described above).







TABLE 40







Correlated parameters in Maize accessions throughout all N levels


(e.g., 140%, 100%, 50%, 30%, 10% and 0%)










Correlated parameter with
Correlation ID







N harvest index calculated
1







Table 40. “NHI (N harvest index)” = the ratio between total grain N and total plant N (=total shoot N + total grain N).













TABLE 41







Measured parameters in Maize accessions








Corr.




















ID














Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12





1
38.0
37.1
36.2
31.5
33.7
35.0
34.8
42.8
36.2
44.2
29.1
37.6
















TABLE 42







Correlation between the expression level of selected 


genes of some embodiments of the


invention in various tissues and the phenotypic 


performance under normal or 


low nitrogen fertilization conditions


across Arabidopsis accessions

















Corr.



Gene Name
R
P value
Exp. set
ID







WNU83
0.702
1.09E−02
2
1







Table 42. “Con. ID” correlation set ID according to the correlated parameters Table above. “Exp. Set”—Expression set. “R” = Pearson correlation coefficient; “P” = p value.






Example 11
Production of Brachypodium Transcriptome and High Throughput Correlation Analysis Using 60K Brachypodium Oligonucleotide Micro-Array
In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a brachypodium oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K brachypodium genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 24 different brachypodium accessions were analyzed. Among them, 22 accessions encompassing the observed variance were selected for RNA expression analysis and comparative genomic hybridization (CGH) analysis.
The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Additional correlation analysis was done by comparing plant phenotype and gene copy number. The correlation between the normalized copy number hybridization signal and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
Twenty four brachypodium accessions were grown in 4-6 repetitive plots (8 plant per plot) in a green house. The growing protocol was as follows: brachypodium seeds were sown in plots and grown under normal condition (6 mM of Nitrogen as ammonium nitrate) or reduced N level (low N, 35% of normal nitrogen fertilization).
Analyzed Brachypodium tissues—two tissues [leaf and spike] were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 43-44 below.







TABLE 43







Brachypodium transcriptome expression


sets under low N conditions










Expression Set
Set ID







flower: low N: flowering:
1



leaf: low N: flowering:
2







Table 43. Provided are the brachypodium transcriptome expression sets under low N conditions.













TABLE 44







Brachypodium transcriptome expression 


sets under Normal conditions










Expression Set
Set ID







leaf: flowering: normal:
1



spike: flowering: normal:
2







Table 44. Provided are the brachypodium transcriptome expression sets under normal conditions






Brachypodium yield components and vigor related parameters assessment—Plants were continuously phenotyped during the growth period and at harvest (Table 45-46, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 [Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
At the end of the growing period the grains were separated from the spikes and the following parameters were measured using digital imaging system and collected:
No. of tillering—all tillers were counted per plant at harvest (mean per plot).
Head number—At the end of the experiment, heads were harvested from each plot and were counted.
Total Grains weight per plot (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).
Highest number of spikelets—The highest spikelet number per head was calculated per plant (mean per plot).
Mean number of spikelets—The mean spikelet number per head was calculated per plot.
Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to spike base of the longest spike at harvest.
Spikelets weight (gr.)—The biomass and spikes weight of each plot was separated, measured per plot.
Average head weight—calculated by dividing spikelets weight with head number (gr.).
Harvest Index—The harvest index was calculated using Formula XXXVII (Harvest Index for brachypodium, described above).
Spikelets Index—The Spikelets index was calculated using Formula XXXI (above).
Percent number of heads with spikelets—The number of heads with more than one spikelet per plant were counted and the percent from all heads per plant was calculated.
Total dry mater per plot—Calculated as Vegetative portion above ground plus all the spikelet dry weight per plot.
1000 grain weight—At the end of the experiment all grains from all plots were collected and weighted and the weight of 1000 were calculated.
The following parameters were collected using digital imaging system:
At the end of the growing period the grains were separated from the spikes and the following parameters were measured and collected:
(i) Average Grain Area (cm2)—A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
(ii) Average Grain Length, perimeter and width (cm)—A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.
The image processing system used consisted of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).
Maintenance of performance under low N conditions: Expressed as ratio of the specific parameter under low N condition divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).







TABLE 45







Brachypodium correlated parameters under low N conditions (vectors)








Correlation set
Correlation ID











% Number of heads with spikelets
1


1000 grain weight [gr]
2


Avr head weight [gr]
3


Grain Perimeter [mm]
4


Grain area [mm2]
5


Grains weight per plant [gr]
6


Grains weight per plot [gr]
7


Harvest index
8


Heads per plant
9


Heads per plot
10


Mean number of spikelets per plot
11


Number of heads with spikelets per plant 
12


Plant Vegetative DW [gr]
13


Plant height [cm]
14


Spikelets DW per plant [gr]
15


Spikelets weight[gr]
16


Tillering
17


Total dry mater per plant [gr]
18


Total dry mater per plot[gr] 
19


Vegetative DW [gr]
20





Table 45. Provided are the brachypodium correlated parameters. “Avr” = average; “gr” = grams; “cm” = centimeter; “mm” = millimeter.













TABLE 46







Brachypodium correlated parameters under normal conditions (vectors)








Correlated parameter with
Correlation ID











1000 grain weight [gr]
1


Avr head weight [gr]
2


Grain Perimeter [mm]
3


Grain area [mm2]
4


Grain length [mm]
5


Grain width [mm]
6


Grains weight per plant [gr]
7


Grains weight per plot [gr]
8


Harvest index
9


Heads per plant
10


Heads per plot
11


Highest num of spikelets per plot
12


Mean num of spikelets per plot
13


Num of heads with spikelets per plant
14


Percent Num of heads with spikelets [%] 
15


Plant Vegetative DW [gr]
16


Plant height [cm]
17


Plants num
18


Spikelets DW per plant [gr]
19


Spikelets weight [gr]
20


Spikes index
21


Tillering
22


Total dry mater per plant [gr]
23


Total dry mater per plot [gr]
24


Vegetative DW [gr]
25





Table 46. Provided are the brachypodium correlated parameters. “Avr” = average; “gr” = grams; “cm” = centimeter; “mm” = millimeter.






Experimental Results
Twenty five different Brachypodium accessions were grown and characterized for different parameters as described above. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 47-48 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 53-55). Follow, results were integrated to the database.







TABLE 47







Measured parameters of correlation IDs in Brachypodium accessions under low N conditions








Cor.




















ID














Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12






















1
15.93
32.43
31.49
13.33
12.76
6.48
7.38
5.39
7.04
48.22
4.74
8.55


2
4.00
3.88
4.31
3.23
4.70
5.98
5.12
4.33
5.67
4.08
4.95
4.66


3
0.04
0.06
0.04
0.05
0.05
0.04
0.04
0.03
0.04
0.05
0.05
0.03


4
1.73
1.57
1.62
1.68
1.71
1.86
1.91
1.79
1.86
1.70
1.83
1.66


5
0.11
0.09
0.09
0.09
0.09
0.11
0.12
0.10
0.10
0.10
0.11
0.09


6
0.08
0.15
0.05
0.09
0.17
0.16
0.05
0.06
0.14
0.06
0.07
0.05


7
0.64
0.51
0.39
0.37
1.39
1.27
0.38
0.47
1.02
0.47
0.54
0.41


8
0.15
0.27
0.15
0.31
0.20
0.28
0.12
0.14
0.39
0.10
0.17
0.09


9
10.48
7.17
6.03
4.75
11.28
8.45
7.04
10.93
5.80
8.09
6.56
13.00


10
81.80
26.00
48.25
19.00
90.25
67.60
53.50
85.83
41.67
60.25
50.00
104.00


11
1.66
2.08
1.91
1.50
1.66
1.45
1.44
1.49
1.37
2.55
1.18
1.58


12
1.89
2.83
1.84
0.75
1.63
0.63
0.63
0.66
0.39
3.80
0.37
1.18


13
0.19
0.15
0.10
0.07
0.28
0.21
0.14
0.18
0.12
0.25
0.15
0.23


14
24.70
23.58
22.53
16.88
27.13
30.14
22.66
22.27
23.92
27.97
22.99
25.64


15
0.37
0.45
0.25
0.23
0.57
0.34
0.26
0.29
0.25
0.41
0.30
0.42


16
2.90
1.39
2.04
0.91
4.59
2.70
2.02
2.31
1.83
3.07
2.29
3.34


17
10.97
6.92
6.72
5.50
11.31
9.03
7.54
11.06
6.24
8.32
6.89
13.08


18
0.57
0.59
0.35
0.30
0.85
0.55
0.40
0.47
0.37
0.66
0.45
0.65


19
4.42
1.86
2.81
1.18
6.84
4.39
3.09
3.75
2.67
4.99
3.41
5.21


20
1.52
0.47
0.78
0.27
2.24
1.69
1.07
1.44
0.84
1.92
1.13
1.87





Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, Line 13, etc.













TABLE 48







Measured parameters of correlation IDs in additional brachypodium accessions 


under low N conditions








Cor.



ID




















Line
L-13
L-14
L-15
L-16
L-17
L-18
L-19
L-20
L-21
L-22
L-23
L-24






















1
10.09
10.82
39.53
37.28
37.56
21.19
48.70
15.07
11.01
40.29
34.70
10.09


2
5.24
4.94
4.38
4.09
5.93
4.63
3.53
3.92
4.73
6.24
5.29
5.24


3
0.04
0.05
0.08
0.07
0.07
0.05
0.05
0.04
0.06
0.08
0.09
0.04


4
1.79
1.74
1.84
1.70
1.84
1.71
1.68
1.65
1.85
1.88
1.88
1.79


5
0.12
0.10
0.10
0.08
0.12
0.09
0.09
0.09
0.11
0.12
0.11
0.12


6
0.14
0.09
0.17
0.35
0.13
0.18
0.20
0.20
0.27
0.06
0.48
0.14


7
1.07
0.71
1.34
2.49
0.91
1.33
1.58
1.55
2.16
0.45
3.65
1.07


8
0.15
0.13
0.10
0.23
0.17
0.18
0.18
0.25
0.20
0.05
0.28
0.15


9
12.11
9.03
12.23
12.80
7.95
12.20
10.73
15.81
13.22
2.38
12.16
12.11


10
93.25
69.75
97.83
91.00
57.83
92.33
85.80
125.00
105.75
19.00
91.88
93.25


11
1.64
1.52
2.17
2.04
1.93
1.89
2.10
1.87
1.72
0.81
2.35
1.64


12
1.37
1.11
5.04
4.99
3.04
2.64
5.38
2.18
1.66
0.94
3.89
1.37


13
0.39
0.22
0.58
0.50
0.27
0.37
0.33
0.30
0.33
1.03
0.73
0.39


14
34.98
21.27
38.35
36.24
30.23
28.96
34.70
21.94
29.59
21.63
41.92
34.98


15
0.53
0.47
0.98
0.92
0.54
0.59
0.58
0.61
0.76
0.18
1.01
0.53


16
4.10
3.56
7.87
6.56
3.92
4.41
4.67
4.83
6.07
1.43
7.51
4.10


17
12.21
9.42
12.48
13.74
7.99
12.74
10.80
16.72
13.19
14.67
12.98
12.21


18
0.92
0.68
1.57
1.42
0.82
0.95
0.91
0.91
1.09
1.21
1.74
0.92


19
7.10
5.23
12.54
10.08
5.86
7.07
7.31
7.20
8.71
9.67
12 89
7.10


20
3.00
1.67
4.67
3.53
1.94
2.66
2.64
2.37
2.64
8.24
5.38
3.00





Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 13, Line 14, etc.













TABLE 49







Measured parameters of correlation IDs in Brachypodium accessions under normal


conditions








Cor.




















ID














Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12






















1
3.75
3.78
3.35
4.89
5.54
4.98
4.83
5.54
3.84
4.76
4.73
5.24


2
0.06
0.04
0.05
0.08
0.04
0.06
0.05
0.04
0.08
0.06
0.05
0.05


3
1.67
1.62
1.62
1.69
1.82
1.83
1.75
1.93
1.68
1.82
1.69
1.91


4
0.10
0.10
0.09
0.09
0.11
0.11
0.10
0.11
0.10
0.11
0.10
0.12


5
0.73
0.72
0.72
0.74
0.83
0.82
0.78
0.90
0.75
0.79
0.75
0.86


6
0.18
0.17
0.17
0.16
0.16
0.17
0.17
0.16
0.17
0.18
0.17
0.19


7
0.14
0.06
0.08
0.26
0.14
0.14
0.14
0.11
0.08
0.07
0.39
0.14


8
1.05
0.44
0.61
1.96
1.11
1.07
1.09
0.84
0.50
0.39
3.07
1.09


9
0.13
0.14
0.15
0.21
0.20
0.16
0.14
0.26
0.07
0.11
0.22
0.09


10
16.30
7.08
6.59
11.63
10.48
9.09
14.13
5.88
11.89
8.02
23.75
16.06


11
121.75
56.60
52.75
83.40
82.40
70.13
110.33
47.00
81.50
48.60
185.50
125.00


12
3.00
2.60
3.00
2.20
2.00
2.25
1.83
2.00
3.50
2.00
2.50
2.40


13
2.10
2.10
1.72
1.69
1.38
1.65
1.43
1.25
2.41
1.56
1.76
1.83


14
5.27
2.50
2.06
2.08
0.71
1.94
1.08
0.35
7.59
1.87
4.98
3.70


15
27.62
35.33
21.67
14.00
5.42
15.42
6.40
4.51
55.41
16.51
15.52
20.34


16
0.42
0.12
0.13
0.38
0.32
0.32
0.39
0.13
0.44
0.31
0.87
0.69


17
31.65
23.44
22.75
31.95
34.36
28.65
28.88
24.74
31.40
29.15
37.30
45.09


18
7.50
8.00
8.00
7.20
7.80
7.75
7.83
8.00
6.50
6.40
7.75
8.00


19
0.96
0.31
0.33
0.88
0.44
0.56
0.67
0.26
0.92
0.45
1.14
0.83


20
7.18
2.50
2.68
6.42
3.45
4.29
5.29
2.04
6.25
2.66
8.89
6.65


21
0.71
0.72
0.73
0.71
0.58
0.66
0.64
0.66
0.69
0.61
0.59
0.54


22
16.84
7.20
7.00
11.97
10.67
9.38
14.58
6.35
12.38
8.61
25.50
16.56


23
1.38
0.43
0.47
1.25
0.76
0.88
1.06
0.38
1.36
0.76
2.01
1.53


24
10.26
3.45
3.74
9.12
6.00
6.78
8.34
3.04
9.21
4.47
15.79
12.20


25
3.08
0.95
1.06
2.69
2.55
2.48
3.05
1.00
2.96
1.81
6.89
5.55





Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 46 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, Line 13, etc.













TABLE 50







Measured parameters of correlation IDs in additional brachypodium


accessions normal conditions








Cor.


















ID












Line
L-13
L-14
L-15
L-16
L-17
L-18
L-19
L-20
L-21
L-22




















1
 4.96
 4.00
 4.26
 5.99
 4.34
 3.70 
 3.90
 4.82
 4.87
 3.76


2
 0.06
 0.10
 0.08
 0.08
 0.06
 0.09 
 0.04
 0.06
 0.09
 0.09


3
 1.71
 1.81
 1.76
 1.87
 1.66
 1.65 
 1.60
 1.80
 1.90
 1.68


4
 0.10
 0.10
 0.09
 0.12
 0.09
 0.09 
 0.09
 0.11
 0.11
 0.09


5
 0.74
 0.84
 0.80
 0.84
 0.74
 0.75 
 0.72
 0.79
 0.87
 0.76


6
 0.17
 0.15
 0.14
 0.18
 0.16
 0.15 
 0.15
 0.17
 0.17
 0.15


7
 0.13
 0.37
 0.49
 0.31
 0.20
 0.35 
 0.27
 0.32
 0.44
 0.30


8
 1.07
 2.99
 3.52
 2.41
 1.47
 2.58 
 2.04
 2.58
 3.40
 1.92


9
 0.18
 0.09
 0.16
 0.18
 0.11
 0.21 
 0.17
 0.15
 0.18
 0.09


10
 9.74
 22.19
 24.32
13.25 
 19.22
 16.11
 21.40
 25.88 
 17.05
 25.54


11
80.75
177.5 
172.8 
98.6 
143.2 
123.5 
156.8 
207  
135  
177  


12
 2.00
 3.50
 3.80
 2.80
 2.83
 2.83
 2.33
 2.60
 4.50
 3.17


13
 1.42
 2.71
 2.61
 2.12
 2.16
 2.17
 1.85
 1.93
 2.85
 2.79


14
 0.89
 12.58
 12.13
 6.35
 7.15
 9.44
 5.02
 4.90
 7.72
 15.36


15
 8.11
 53.21
 47.81
42.81
 34.92
 52.41
 20.84
 17.55
 47.73
 59.01


16
 0.34
 1.72
 1.32
 0.48
 0.63
 0.82
 0.68
 0.87
 1.05
 1.73


17
22.39
 55.04
 45.34
40.20
 39.18
 45.35
 29.41
 38.39
 46.74
 58.82


18
 8.25
 8.00
 7.00
 7.60
 7.33
 7.50
 7.33
 8.00
 7.88
 6.83


19
 0.59
 2.27
 1.91
 1.09
 1.26
 1.46
 0.96
 1.56
 1.42
 2.25


20
 4.92
 18.15
 13.49
 8.35
 9.42
 11.31
 7.16
 12.44
 11.05
 15.55


21
 0.68
 0.56
 0.59
 0.70
 0.66
 0.68
 0.60
 0.65
 0.58
 0.57


22
10.54
 27.15
 26.30
13.56
 20.79
 16.99
 23.61
 27.20
 18.25
 29.09


23
 0.94
 3.99
 3.23
 1.57
 1.89
 2.28
 1.63
 2.43
 2.47
 3.98


24
 7.76
 31.94
 22.78
12.04
 14.14
 17.78
 12.29
 19.40
 19.27
 27.67


25
 2.84
 13.80
 9.28
 3.70
 4.72
 6.47
 5.13
 6.96
 8.23
 12.12





Correlation (Cor.) IDs: 1, 2, 3, 4, 5, . . . etc. refer to those described in Table 46 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, Line 13, etc.













TABLE 51







Measured parameters of correlation IDs in Brachypodium accessions 


under low N vs. normal conditions


















Cor. ID













Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11





















1
0.58
0.89
0.62
0.91
1.19
0.48
0.84
1.56
0.87
0.29
0.55


2
1.07
1.14
0.97
0.96
1.08
1.03
0.90
1.02
1.06
1.04
0.98


3
0.62
0.97
0.97
0.67
0.98
0.68
0.55
1.06
0.66
0.83
0.66


4
1.04
1.00
1.03
1.01
1.02
1.04
1.03
0.96
1.01
1.01
0.98


5
1.03
0.94
0.99
0.99
1.03
1.04
0.95
0.95
1.02
1.01
0.94


6
0.58
0.88
1.20
0.68
1.13
0.36
0.43
1.37
0.83
1.05
0.13


7
0.61
0.88
0.60
0.71
1.14
0.36
0.43
1.22
0.94
1.39
0.13


8
1.13
1.05
2.10
1.00
1.42
0.76
1.01
1.52
1.50
1.58
0.40


9
0.64
0.85
0.72
0.97
0.81
0.77
0.77
0.99
0.68
0.82
0.55


10
0.67
0.85
0.36
1.08
0.82
0.76
0.78
0.89
0.74
1.03
0.56


11
0.79
0.91
0.87
0.98
1.05
0.88
1.04
1.10
1.06
0.75
0.89


12
0.36
0.74
0.36
0.78
0.88
0.32
0.61
1.13
0.50
0.20
0.24


13
0.47
0.82
0.51
0.75
0.65
0.43
0.47
0.94
0.58
0.48
0.27


14
0.78
0.96
0.74
0.85
0.88
0.79
0.77
0.97
0.89
0.79
0.69


15
0.39
0.82
0.68
0.66
0.77
0.47
0.43
1.00
0.44
0.67
0.37


16
0.40
0.82
0.34
0.71
0.78
0.47
0.44
0.90
0.49
0.86
0.38


17
0.65
0.93
0.79
0.95
0.85
0.80
0.76
0.98
0.67
0.80
0.51


18
0.41
0.82
0.63
0.68
0.72
0.46
0.45
0.98
0.49
0.59
0.32


19
0.43
0.82
0.32
0.75
0.73
0.46
0.45
0.88
0.54
0.76
0.33


20
0.49
0.82
0.25
0.83
0.66
0.43
0.47
0.84
0.65
0.62
0.27





Correlation IDs 1, 2, 3, 4, 5 . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 1, Line 2, etc. Phenotypic ratio of low N versus normal conditions (Maintenance of performance under low N conditions) was calculated and correlation of this ratio with expression under low N conditions was calculated.













TABLE 52







Measured parameters of correlation IDs in additional brachypodium accessions 


under low N vs. normal conditions








Corr. ID



















Line
L-12
L-13
L-14
L-15
L-16
L-17
L-18
L-19
L-20
L-21
L-22





















1
0.50
1.33
0.74
0.78
0.88
0.61
0.93
0.72
0.63
0.73
0.91


2
1.00
1.00
1.09
0.96
0.99
1.07
0.95
1.00
0.98
1.09
1.08


3
0.84
0.90
0.78
0.92
0.83
0.76
0.62
0.95
0.93
0.98
0.93


4
0.94
1.02
1.02
0.97
0.98
1.03
1.02
1.03
1.03
0.99
0.98


5
0.94
1.03
1.01
0.93
0.98
1.04
1.04
1.03
1.03
0.99
0.97


6
1.02
0.75
0.45
0.70
0.42
0.88
0.57
0.74
0.84
1.11
0.38


7
0.98
0.66
0.45
0.71
0.38
0.90
0.61
0.76
0.84
1.07
0.46


8
1.64
0.74
1.11
1.47
0.93
1.59
0.85
1.44
1.32
1.57
0.63


9
0.75
0.93
0.55
0.53
0.60
0.63
0.67
0.74
0.51
0.71
0.60


10
0.75
0.86
0.55
0.53
0.59
0.64
0.69
0.80
0.51
0.68
0.64


11
0.90
1.07
0.80
0.78
0.91
0.88
0.97
1.01
0.89
0.82
0.82


12
0.37
1.25
0.40
0.41
0.48
0.37
0.57
0.43
0.34
0.50
0.54


13
0.56
0.63
0.34
0.38
0.57
0.58
0.40
0.44
0.38
0.70
0.51


14
0.78
0.95
0.70
0.80
0.75
0.74
0.77
0.75
0.77
0.90
0.69


15
0.64
0.79
0.43
0.48
0.50
0.47
0.40
0.64
0.49
0.71
0.57


16
0.62
0.72
0.43
0.49
0.47
0.47
0.41
0.67
0.49
0.68
0.61


17
0.74
0.89
0.46
0.52
0.59
0.61
0.64
0.71
0.48
0.71
0.53


18
0.60
0.73
0.39
0.44
0.52
0.51
0.40
0.56
0.45
0.71
0.54


19
0.58
0.67
0.39
0.44
0.49
0.50
0.41
0.59
0.45
0.67
0.57


20
0.54
0.59
0.34
0.38
0.52
0.56
0.41
0.46
0.38
0.65
0.53





Correlation IDs 1, 2, 3, 4, 5 . . . etc. refer to those described in Table 45 above [Brachypodium correlated parameters (vectors)]. The Brachypodium accession numbers are Line 12, Line 13, etc. Phenotypic ratio of low N versus normal conditions (Maintenance of performance under low N conditions) was calculated and correlation of this ratio with expression under low N conditions was calculated.













TABLE 53







Correlation between the expression level of selected genes of some embodiments 


of the invention in various tissues and the phenotypic performance under low 


nitrogen fertilization conditions across brachypodium accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID



















WNU45
0.705
1.05E−02
1
19
WNU45
0.727
7.40E−03
1
15


WNU45
0.718
8.54E−03
1
13
WNU45
0.704
1.06E−02
1
16


WNU45
0.727
7.33E−03
1
18
WNU46
0.828
8.80E−04
1
10


WNU46
0.870
2.32E−04
1
17
WNU46
0.905
5.28E−05
1
19


WNU46
0.907
4.75E−05
1
15
WNU46
0.712
9.41E−03
1
1


WNU46
0.899
6.89E−05
1
20
WNU46
0.908
4.46E−05
1
13


WNU46
0.805
1.57E−03
1
12
WNU46
0.900
6.73E−05
1
16


WNU46
0.851
4.49E−04
1
11
WNU46
0.732
6.77E−03
1
14


WNU46
0.858
3.51E−04
1
9
WNU46
0.792
2.15E−03
1
3


WNU46
0.913
3.46E−05
1
18
WNU47
0.801
1.74E−03
2
1


WNU47
0.813
1.29E−03
2
12
WNU47
0.747
5.28E−03
2
11


WNU47
0.712
9.40E−03
1
10
WNU47
0.704
1.07E−02
1
17


WNU47
0.745
5.42E−03
1
9
WNU50
0.790
2.22E−03
2
10


WNU49
0.785
2.47E−03
1
2
WNU50
0.816
1.20E−03
2
19


WNU50
0.749
5.01E−03
2
17
WNU50
0.855
3.95E−04
2
1


WNU50
0.791
2.20E−03
2
15
WNU50
0.789
2.30E−03
2
13


WNU50
0.808
1.48E−03
2
20
WNU50
0.814
1.26E−03
2
16


WNU50
0.901
6.40E−05
2
12
WNU50
0.797
1.90E−03
2
14


WNU50
0.852
4.28E−04
2
11
WNU50
0.795
2.02E−03
2
18


WNU50
0.773
3.18E−03
2
9
WNU51
0.838
6.71E−04
2
15


WNU51
0.864
2.93E−04
2
19
WNU51
0.890
1.07E−04
2
20


WNU51
0.841
6.06E−04
2
6
WNU51
0.747
5.23E−03
2
12


WNU51
0.893
9.39E−05
2
13
WNU51
0.770
3.38E−03
2
11


WNU51
0.837
6.89E−04
2
16
WNU51
0.839
6.47E−04
2
7


WNU51
0.798
1.88E−03
2
14
WNU51
0.781
2.71E−03
2
3


WNU51
0.704
1.06E−02
2
9
WNU52
0.718
8.52E−03
1
19


WNU51
0.866
2.72E−04
2
18
WNU52
0.871
2.29E−04
1
1


WNU52
0.722
8.04E−03
1
15
WNU52
0.708
9.92E−03
1
13


WNU52
0.706
1.03E−02
1
20
WNU52
0.720
8.25E−03
1
16


WNU52
0.853
4.19E−04
1
12
WNU52
0.788
2.35E−03
1
14


WNU52
0.852
4.32E−04
1
11
WNU52
0.720 
8.22E−03
1
18


WNU52
0.712
9.45E−03
1
9










“Cor. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.













TABLE 54







Correlation between the expression level of selected genes of some embodiments 


of the invention in various tissues and the phenotypic performance under 


normal nitrogen fertilization conditions across brachypodium accessions
















Gene


Exp.
Cor. Set
Gene


Exp. 
Cor. Set


Name
R
P value
set
ID
Name
R
P value
set
ID





WNU46
0.806
4.92E−03 
2
21
WNU52
0.725
1.76E−02
2
15


WNU49
0.762
1.04E−02 
2
18
WNU52
0.754
1.17E−02
2
14





“Cor. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.













TABLE 55







Correlation between the expression level of selected genes of some embodiments 


of the invention in various tissues and the phenotypic performance under low 


nitrogen fertilization vs. normal conditions across brachypodium accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID





WNU49
0.777
2.94E−03
1
20
WNU49
0.713
9.17E−03
1
19


WNU49
0.718
8.56E−03
1
13





“Corr. ID”—correlation set ID according to the correlated parameters Table above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 12
Production of Foxtail Millet Transcriptome and High Throughput Correlation Analysis Using 60K Foxtail Millet Oligonucleotide Micro-Array
In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a foxtail millet oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K foxtail millet genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different foxtail millet accessions were analyzed. Among them, 11 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
Fourteen Foxtail millet accessions in 5 repetitive plots, in the field. Foxtail millet seeds were sown in soil and grown under normal condition[15 units of Nitrogen (kg nitrogen per dunam)], reduced nitrogen fertilization (2.5-3.0 units of Nitrogen in the soil (based on soil measurements) and reduced stands in the field [i.e., 8 plants per meter per row as compared to “standard” stands of 17 plants per meter row].
Analyzed Foxtail millet tissues—three tissues at different developmental stages [leaf, flower, and stem], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Tables 56-57 below.







TABLE 56







Foxtail millet transcriptome expression sets under normal conditions








Expression Set
Set ID











normal/flag leaf: Normal: grainfilling:
1


normal/flag leaf: Normal: heading:
2


normal/flower: Normal: heading:
3


normal/head: Normal: grainfilling:
4


normal/leaf: Normal: seedling:
5


normal/low stem: Normal: heading:
6


normal/mature leaf: Normal: grainfilling:
7


normal/root: Normal: seedling:
8


normal/stem: Normal: seedling:
9


normal/stem node: Normal: grainfilling:
10


normal/up stem: Normal: grainfilling:
11


normal/up stem: Normal: heading:
12


normal/vein: Normal: grainfilling:
13





Table 56. Provided are the foxtail millet transcriptome expression sets under normal conditions













TABLE 57







Foxtail millet transcriptome expression sets under low N conditions








Expression Set
Set ID











Low N/flag leaf: Low N: grainfilling:
1


Low N/flag leaf: Low N: heading:
2


Low N/flower: Low N: heading:
3


Low N/head: Low N: grainfilling:
4


Low N/low stem: Low N: heading:
5


Low N/mature leaf: Low N: grainfilling:
6


Low N/stem node: Low N: grainfilling:
7


Low N/up stem: Low N: grainfilling:
8


Low N/up stem: Low N: heading:
9


Low N/vein: Low N: grainfilling:
10





Table 57. Provided are the foxtail millet transcriptome expression sets under low N conditions






Foxtail millet yield components and vigor related parameters assessment—Plants were continuously phenotyped during the growth period and at harvest (Tables 58-59, below). The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
The following parameters were collected using digital imaging system:
At the end of the growing period the grains were separated from the Plant ‘Head’ and the following parameters were measured and collected:
(i) Average Grain Area (cm2)—A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
(ii) Average Grain Length and width (cm)—A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths and width (longest axis) was measured from those images and was divided by the number of grains.
At the end of the growing period 14 ‘Heads’ were photographed and images were processed using the below described image processing system.
(i) Head Average Area (cm2)—The ‘Head’ area was measured from those images and was divided by the number of ‘Heads’.
(ii) Head Average Length (mm)—The ‘Head’ length (longest axis) was measured from those images and was divided by the number of ‘Heads’.
The image processing system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37, Java based image processing software, which was developed at the U.S. National Institutes of Health and is freely available on the internet at rsbweb (dot) nih (dot) gov/. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, image processing output data for seed area and seed length was saved to text files and analyzed using the JMP statistical analysis software (SAS institute).
Additional parameters were collected either by sampling 5 plants per plot (SP) or by measuring the parameter across all the plants within the plot (RP).
Total Grain Weight (gr.)—At the end of the experiment (plant ‘Heads’) heads from plots were collected, the heads were threshed and grains were weighted. In addition, the average grain weight per head was calculated by dividing the total grain weight by number of total heads per plot (based on plot).
Head weight and head number—At the end of the experiment, heads were harvested from each plot and were counted and weighted (kg.).
Biomass at harvest—At the end of the experiment the vegetative material from plots was weighted.
Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at harvest.
Total dry mater per plot—Calculated as Vegetative portion above ground plus all the heads dry weight per plot.
Num days to anthesis—Calculated as the number of days from sowing till 50% of the plot arrives anthesis.
Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.
SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.
Root FW (Gr.), root length (Cm) and No. of lateral roots—one plant per plot (5 repeated plots) were selected for measurement of root weight, root length and for counting the number of lateral roots formed.
Shoot FW (fresh weight)—weight of one plant per plot were recorded at different time-points.
Grain N (H)—% N content of dry matter in the grain at harvest.
Head N (GF)—% N content of dry matter in the head at grainfilling.
Total shoot N—calculated as the % N content multiplied by the weight of plant shoot
Total grain N—calculated as the % N content multiplied by the weight of plant grain yield.
NUE [kg/kg]—is the ratio between total grain yield per total N applied in soil.
NUpE [kg/kg]—is the ratio between total plant biomass per total N applied in soil.
Grain NUtE—is the ratio between grain yield per total shoot N.
Total NUtE—is the ratio between grain and shoot biomass per total shoot N.
Stem Volume of lower stem—the calculated volume of the lowest internode.
Stem Volume of upper stem—the calculated volume of the internode just below the head.
Stem density—is the ratio between internode dry weight and internode volume.
Maintenance of performance under low N conditions—Represent ratio for the specified parameter of low N condition results divided by Normal conditions results (maintenance of phenotype under low N in comparison to normal conditions).
Data parameters collected are summarized in Tables 58-59 herein below







TABLE 58







Foxtail millet correlated parameters under normal conditions (vectors)








Correlation set
Correlation ID











Grain N (H) [%]
1


Grains Yield per plant (RP) [gr]
2


Grains yield (RP) [gr]
3


Head N (GF) [%]
4


Heads FW (RP) [gr]
5


Heads FW (SP)[gr]
6


Heads num (SP)
7


Heads weight (RP) [gr]
8


Heads weight (SP) [gr]
9


Heads weight per plant (RP) [gr]
10


Leaves num 1
11


Leaves num 2
12


Leaves num 3
13


Leaves num 4
14


Leaves temperature 1 [C.]
15


Leaves temperature 2 [C.]
16


Lower Stem DW (F) [gr]
17


Lower Stem FW (F) [gr]
18


Lower Stem length (F) [cm]
19


Lower Stem width (F) [cm]
20


Lower stem DW/cm [gr/cm]
21


Lower stem density [gr/cm3]
22


NUE
23


NHI
24


NUpE
25


Num days to Heading (field)
26


Num days to Maturity [days]
27


Num lateral roots
28


Plant height growth [cm/day]
29


Plant height 1 [cm]
30


Plant height 2 [cm]
31


Plant height 3 [cm]
32


Plant height 4 [cm]
33


Plant num at harvest
34


Plant weight growth [gr/day]
35


Root length [cm]
36


SPAD (F)
37


SPAD 1
38


SPAD 2
39


Shoot DW 1 [gr]
40


Shoot DW 2 [gr]
41


Shoot DW 3 [gr]
42


Shoot N (H) [%]
43


Tillering 1
44


Tillering 2
45


Tillering 3
46


Total grain N (H) [mg]
47


Total shoot N (H) [mg]
48


Upper Stem DW (F) [gr]
49


Upper Stem FW (F) [gr]
50


Upper Stem length (F) [cm]
51


Upper Stem width (F) [cm]
52


Upper stem DW/cm [gr/cm]
53


Upper stem density [gr/cm3]
54


Vegetative DW (RP) [gr]
55


Vegetative DW (SP) [gr]
56


Vegetative DW per plant [gr]
57


Vegetative FW (RP) [gr]
58


Vegetative FW (SP) [gr]
59


grain NUtE
60


lower stem volume (F) [cm3]
61


total NUtE
62


upper stem volume [cm3]
63





Table58. Provided are the foxtail millet collected parameters under normal conditions. “num” = number.













TABLE 59







Foxtail millet correlated parameters under low N conditions (vectors)








Correlation set
Correlation ID











Grain N (H) [%]
1


Grain N (H) NUE ratio
2


Grains Yield per plant (RP) [gr]
3


Grains Yield per plant (RP) NUE ratio 
4


Grains yield (RP) [gr]
5


Head N (GF) [%]
6


Head N (GF) NUE ratio
7


Heads FW (RP) [gr]
8


Heads FW (SP) [gr]
9


Heads num (SP)
10


Heads num (SP) NUE ratio
11


Heads weight (RP) [gr]
12


Heads weight (SP) [gr]
13


Heads weight per plant (RP) [gr]
14


Heads weight per plant (RP) NUE ratio 
15


Leaves num 1
16


Leaves num 2
17


Leaves num 3
18


Leaves num 4
19


Leaves num 4 NUE ratio
20


Leaves temperature 1 [C.]
21


Leaves temperature 2 [C.]
22


Lower Stem DW (F) [gr]
23


Lower Stem FW (F) [gr]
24


Lower Stem length (F) [cm]
25


Lower Stem width (F) [cm]
26


Lower stem DW/cm [gr/cm]
27


Lower stem DW/cm NUE ratio
28


Lower stem density [gr/cm3]
29


Lower stem density NUE ratio
30


NUE
31


NUE NUE ratio
32


NUI
33


NUI NUE ratio
34


NUpE
35


NUpE NUE ratio
36


Num days to Heading (field)
37


Num days to Heading NUE ratio (field) 
38


Num days to Maturity
39


Num lateral roots
40


Num lateral roots NUE ratio
41


Plant height growth [cm/day]
42


Plant height growth NUE ratio
43


Plant height 1 [cm]
44


Plant height 2 [cm]
45


Plant height 3 [cm]
46


Plant height 4 [cm]
47


Plant height 4 NUE ratio
48


Plant num at harvest
49


Plant weight growth [gr/day]
50


Plant weight growth NUE ratio
51


Root length [cm]
52


Root length NUE ratio
53


SPAD (F)
54


SPAD (F) NUE ratio
55


SPAD 1
56


SPAD 2
57


Shoot C (H) [%]
58


Shoot DW 1 [gr]
59


Shoot DW 2 [gr]
60


Shoot DW 3 [gr]
61


Shoot DW 3 NUE ratio
62


Shoot N (H) [%]
63


Shoot N (H) NUE ratio
64


Tillering 1
65


Tillering 2
66


Tillering 3
67


Tillering 3 NUE ratio
68


Total grain N (H) [mg]
69


Total grain N (H) NUE ratio
70


Total shoot N (H) [mg]
71


Total shoot N (H) NUE ratio
72


Upper Stem DW (F) [gr]
73


Upper Stem FW (F) [gr]
74


Upper Stem length (F) [cm]
75


Upper Stem width (F) [cm]
76


Upper stem DW/cm [gr/cm]
77


Upper stem DW/cm NUE ratio
78


Upper stem density [gr/cm3]
79


Upper stem density NUE ratio
80


Vegetative DW (RP) [gr]
81


Vegetative DW (SP) [gr]
82


Vegetative DW per plant [gr]
83


Vegetative DW per plant NUE ratio
84


Vegetative FW (RP) [gr]
85


Vegetative FW (SP) [gr]
86


grain NUtE
87


grain NUtE NUE ratio
88


lower stem volume (F)
89


lower stem volume (F) NUE ratio
90


shoot C/N (H)
91


shoot C/N (H) NUE ratio
92


total NUtE
93


total NUtE NUE ratio
94


upper stem volume [cm3]
95


upper stem volume NUE ratio
96





Table 59. Provided are the foxtail millet collected parameters under low N conditions.






Experimental Results
Fourteen different foxtail millet accessions were grown and characterized for different parameters as described above. The average for each of the measured parameters was calculated using the JMP software and values are summarized in Tables 60-61 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted. Follow, results were integrated to the database.







TABLE 60







Measured parameters of correlation IDs in foxtail millet accessions under normal conditions








Cor.






















ID
















Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13
L-14
























1
1.77
2.36
NA
1.98
2.07
2.13
2.13
NA
1.79
3.05
NA
1.85
NA
1.97


2
34.71
23.00
24.84
31.07
26.64
28.32
34.92
26.40
48.35
22.35
9.38
31.53
30.10
29.98


3
1086.00
679.20
727.60
797.60
792.40
856.80
902.80
803.60
1120.80
584.40
268.00
818.80
800.80
818.40


4
1.72
2.21
NA
2.30
1.97
2.07
2.45
NA
1.93
1.81
NA
2.17
NA
2.26


5
1.80
1.12
1.07
1.34
1.32
1.11
1.36
1.16
1.69
1.44
0.57
1.13
1.23
1.27


6
0.24
0.17
0.18
0.27
0.21
0.23
0.28
0.25
0.39
0.25
0.13
0.25
0.31
0.29


7
7.20
94.00
87.60
295.40
114.00
122.40
29.80
129.20
11.00
13.20
53.60
32.80
60.60
323.20


8
1.31
0.87
0.89
1.07
1.02
0.98
1.10
0.98
1.29
1.03
0.42
1.00
0.99
1.02


9
0.18
0.10
0.12
0.24
0.21
0.23
0.22
0.24
0.30
0.18
0.10
0.22
0.24
0.23


10
41.78
29.33
30.26
41.57
34.38
32.52
41.81
32.10
60.61
39.91
14.61
38.41
37.47
37.42


11
4.07
5.33
4.13
5.07
5.00
4.27
3.67
3.77
3.79
3.73
4.00
3.90
4.03
5.23


12
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


13
5.30
2.90
2.94
3.55
3.90
4.13
4.40
4.10
3.90
4.35
3.25
3.30
3.75
3.70


14
7.90
4.70
4.50
5.30
6.55
6.35
7.15
7.00
6.65
5.90
4.80
5.20
5.20
9.25


15
NA
NA
NA
27.70
28.02
28.35
28.23
27.96
NA
NA
NA
NA
NA
27.54


16
30.18
NA
NA
NA
NA
NA
NA
NA
30.92
NA
NA
NA
NA
NA


17
0.71
NA
0.30
0.16
0.15
0.20
0.61
0.17
0.86
NA
NA
0.55
0.93
0.09


18
4.21
NA
1.43
0.69
0.64
0.64
2.50
0.76
3.13
NA
NA
3.64
5.49
0.39


19
8.35
NA
10.25
8.75
6.69
7.64
8.08
7.15
9.15
NA
NA
10.18
12.26
8.98


20
7.24
NA
4.16
3.12
3.33
3.18
5.57
3.61
6.95
NA
NA
6.23
6.75
2.24


21
0.08
NA
0.03
0.02
0.02
0.03
0.08
0.02
0.09
NA
NA
0.05
0.08
0.01


22
0.21
NA
0.22
0.23
0.26
0.33
0.31
0.23
0.25
NA
NA
0.18
0.21
0.24


23
1.83
1.21
1.31
1.64
1.40
1.49
1.84
1.39
2.54
1.18
0.49
1.66
1.58
1.58


24
0.91
0.87
NA
0.93
0.92
0.93
0.93
NA
0.93
0.88
NA
0.90
NA
0.87


25
35.54
32.85
NA
34.72
31.40
33.90
41.82
NA
48.90
40.60
0.00
34.04
NA
35.90


26
54.00
63.40
59.40
39.60
46.00
40.80
50.00
39.00
54.00
71.00
61.00
63.00
61.00
42.00


27
NA
NA
NA
NA
75.00
75.00
NA
75.00
NA
98.00
109.00
98.00
98.00
NA


28
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


29
2.10
1.42
1.32
2.10
1.93
2.44
1.84
2.56
1.91
0.97
1.16
1.35
1.50
2.12


30
3.72
2.92
3.25
3.55
3.45
3.68
2.92
3.63
4.12
2.47
3.10
3.58
3.43
3.63


31
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


32
26.63
17.68
18.00
25.83
23.35
28.60
21.53
30.53
26.03
16.78
17.80
19.53
20.75
24.55


33
45.98
31.80
29.75
46.08
42.88
53.63
40.68
55.63
42.10
20.53
25.75
30.30
33.30
47.31


34
31.40
29.60
29.80
26.00
30.00
30.20
27.75
30.75
23.60
26.00
29.40
26.20
27.00
27.40


35
2.85 
3.12 
5.11 
4.35 
2.87 
3.11 
2.93 
3.40 
4.79 
3.15 
3.41 
3.12 
2.04 
4.51


36
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


37
60.82
NA
NA
54.68
49.93
57.47
58.59
55.40
55.04
NA
NA
NA
NA
55.90


38
NA
NA
NA
54.68
49.93
57.47
58.59
55.40
NA
NA
NA
NA
NA
55.90


39
60.82
NA
NA
NA
NA
NA
NA
NA
554.04
NA
NA
NA
NA
NA


40
12.75
19.52
14.43
20.70
20.63
21.01
14.01
18.80
14.17
11.62
19.62
18.36
10.81
17.13


41
57.06
65.70
54.29
59.78
60.76
71.99
53.98
71.68
87.55
52.63
52.33
77.31
63.50
66.48


42
88.87
97.87
162.66
135.96
100.39
103.33
97.31
118.42
142.38
98.23
116.82
103.25
72.94
143.65


43
1.87
1.52
NA
1.78
1.99
1.79
1.63
NA
1.53
1.21
NA
1.23
NA
2.60


44
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


45
1.06
21.15
16.75
34.30
17.15
10.85
3.29
11.81
2.20
3.00
9.50
6.80
4.45
39.10


46
1.40
10.30
7.60
10.70
6.40
9.20
2.22
4.67
2.70
3.50
6.50
5.80
6.80
16.70


47
612.84
543.69
NA
613.75
551.78
602.01
742.76
NA
865.05
682.14
NA
583.65
NA
590.90


48
62.40
80.47
NA
45.88
44.79
42.05
51.85
NA
64.03
89.22
NA
63.05
NA
91.27


49
0.81
NA
0.24
0.24
0.14
0.21
0.32
0.53
0.41
NA
NA
0.37
0.77
0.08


50
3.24
NA
0.48
0.67
0.43
0.50
1.28
0.93
1.49
NA
NA
0.68
0.89
0.21


51
33.67
NA
17.66
36.25
19.60
27.88
26.18
38.74
24.47
NA
NA
21.93
16.47
21.90


52
3.68
NA
1.78
1.51
1.59
1.50
2.55
1.90
3.19
NA
NA
1.92
2.70
0.97


53
0.02
NA
0.01
0.01
0.01
0.01
0.01
0.01
0.02
NA
NA
0.02
0.05
0.00


54
0.23
NA
0.55
0.38
0.35
0.42
0.24
0.48
0.21
NA
NA
0.59
0.82
0.51


55
1.06
1.56
1.17
0.67
0.67
0.71
0.87
0.58
0.98
1.91
2.80
1.34
1.53
0.88


56
0.13
0.23
0.21
0.11
0.11
0.13
0.16
0.12
0.18
0.34
0.57
0.29
0.44
0.18


57
33.35
52.77
41.10
25.80
22.52
23.54
31.90
18.93
41.96
73.71
101.16
51.45
57.70
35.07


58
3.19
3.85
2.78
1.98
2.15
1.57
2.19
1.68
2.42
5.52
5.17
3.34
3.63
2.05


59
0.45
0.57
0.53
0.39
0.27
0.37
NA
0.37
0.58
0.97
1.10
0.71
1.04
0.44


60
0.56
0.29
NA
0.68
0.59
0.67
0.67
NA
0.76
0.25
NA
0.50
NA
0.33


61
3.44
NA
1.39
0.67
0.58
0.61
1.97
0.73
3.47
NA
NA
3.10
4.38
0.35


62
0.10
0.12
NA
0.09
0.08
0.08 
0.08
NA
0.10
0.12
NA
0.13
NA
0.10


63
3.57
NA
0.44
0.65
0.39
0.49
1.34
1.10
1.96
NA
NA
0.64
0.94
0.16





Provided are the values of each of the parameters (as described in Table 58 above) measured in Foxtail millet accessions (lines; “L”) under normal growth conditions. Growth conditions are specified in the experimental procedure section.


“NA” = not available.













TABLE 61







Additional measured parameters of correlation IDs in foxtail millet accessions under low N conditions








Cor.






















ID
















Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13
L-14
























1
NA
2.03
1.86
1.60
1.59
1.97
NA
2.26
1.43
1.76
NA
1.81
NA
1.94


2
NA
0.86
NA
0.81
0.77
0.93
NA
NA
0.80
0.58
NA
0.98
NA
0.98


3
29.85
20.46
34.44
29.75
22.31
23.02
22.59
20.66
37.09
25.39
20.97
33.96
34.85
26.22


4
0.86
0.89
1.39
0.96
0.84
0.81
0.65
0.78
0.77
1.14
2.24
1.08
1.16
0.87


5
936.40
622.80
923.60
819.50
726.80
683.50
622.80
636.50
944.00
693.60
644.80
866.40
896.00
662.50


6
NA
1.97
1.84
1.20
1.64
1.23
NA
1.91
1.92
1.71
NA
2.10
NA
2.13


7
NA
0.89
NA
0.52
0.83
0.59
NA
NA
1.00
0.95
NA
0.97
NA
0.94


8
1.60
1.01
1.38
1.42
1.14
0.89
0.97
0.98
1.52
1.48
0.99
1.15
1.28
0.98


9
0.25
0.16
0.22
0.26
0.15 
0.18
0.19
0.17
0.31
0.28
0.15
0.27
0.30
0.23


10
8.20
57.00
64.60
214.00
69.20
117.75
31.80
99.20
7.00
14.60
30.80
28.80
68.20
215.25


11
1.14
0.61
0.74
0.72
0.61
0.96
1.07
0.77
0.64
1.11
0.57
0.88
1.13
0.67


12
1.18
0.81
1.17
1.06
0.88
0.77
0.76
0.78
1.14
1.07
0.80
1.01
1.09
0.82


13
0.18
0.16
0.18
0.23
0.17
0.19
0.14
0.18
0.24
0.21
0.12
0.24
0.26
0.17


14
37.59
26.53
37.22
38.71
26.98
25.86
27.61
25.30
45.06
39.26
26.08
39.72
42.38
32.67


15
0.90
0.90
1.23
0.93
0.78
0.80
0.66
0.79
0.74
0.98
1.78
1.03
1.13
0.87


16
4.27
2.60
2.80
2.53
2.60
2.28
3.57
3.00
3.40
3.83
2.90
3.07
3.37
3.20


17
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


18
5.90
3.45
3.20
3.50
3.95
4.15
4.90
5.00
3.95
4.45
3.55
3.75
3.80
3.35


19
6.50
3.65
3.15
3.90
3.75
5.05
6.15
5.20
4.75
5.15
3.20
3.65
4.30
3.30


20
0.82
0.78
0.70
0.74
0.57
0.80
0.86
0.74
0.71
0.87
0.67
0.70
0.83
0.36


21
NA
NA
NA
26.30
27.09
27.81
27.65
27.92
NA
NA
NA
NA
NA
27.18


22
30.83
NA
NA
NA
NA
NA
NA
NA
30.61
NA
NA
NA
NA
NA


23
0.99
NA
0.30
0.18
0.14
0.25
0.55
0.16
0.96
NA
NA
0.48
0.94
0.08


24
3.57
NA
1.50
0.68
0.54
0.94
1.93
0.54
2.98
NA
NA
3.93
4.39
0.30


25
6.81
NA
10.46
8.34
6.76
7.46
6.44
7.16
8.50
NA
NA
9.94
11.84
8.67


26
6.85
NA
3.89
2.96
3.19
3.18
5.08
3.11
6.43
NA
NA
6.52
6.08
2.13


27
0.15
NA
0.03
0.02
0.02
0.03
0.09
0.02
0.11
NA
NA
0.05
0.08
0.01


28
1.72
NA
0.96
1.21
0.93
1.28
1.14
0.96
1.19
NA
NA
0.89
1.04
0.96


29
0.40
NA
0.24
0.31
0.26
0.42
0.42
0.30
0.35
NA
NA
0.14
0.27
0.26


30
1.92
NA
1.09
1.35
1.01
1.28
1.38
1.30
1.39
NA
NA
0.81
1.28
1.06


31
29.85
20.46
34.44
29.75
22.31
23.02
22.59
20.66
37.09
25.39
20.97
33.96
34.85
26.22


32
16.34
16.90
26.34
18.19
15.91
15.45
12.29
14.87
14.57
21.58
42.49
20.47
22.00
16.62


33
NA
0.89
0.93
0.92
0.93
0.94
NA
0.95
0.93
0.86
NA
0.93
NA
0.90


34
NA
1.03
NA
0.99
1.01
1.00
NA
NA
0.99
0.97
NA
1.03
NA
1.04


35
NA
464.77
688.20
516.07
380.02
484.90
NA
493.50
572.76
517.93
0.00
661.86
NA
565.17


36
NA
14.15
NA
14.87
12.10
14.30
NA
NA
11.71
12.76
NA
19.45
NA
15.74


37
54.00
64.00
58.60
40.40
46.00
41.60
51.60
39.00
55.40
72.40
61.00
62.20
62.40
42.80


38
1.00
1.01
0.99
1.02
1.00
1.02
1.03
1.00
1.03
1.02
1.00
0.99
1.02
1.02


39
90.00
90.00
90.00
NA
75.00
NA
NA
75.00
90.00
98.00
109.00
98.00
98.00
NA


40
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


41
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


42
1.64
1.00
1.01
1.81
1.50
1.88
1.38
2.10
1.47
0.84
0.83
1.10
1.18
1.25


43
0.78
0.70
0.77
0.86
0.77
0.77
0.75
0.82
0.77
0.87
0.72
0.82
0.79
0.59


44
4.21
3.76
3.72
3.87
4.27
4.19
3.43
3.72
4.66
3.11
3.57
4.01
3.75
3.48


45
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


46
22.50
13.98
16.20
23.93
20.95
25.05
17.78
24.19
20.66
15.06
14.03
17.68
17.45
19.18


47
37.08
24.13
23.55
40.30
34.33
41.91
31.38
47.50
32.75
18.23
19.80
25.63
27.18
27.95


48
0.81
0.76
0.79
0.87
0.80
0.78
0.77
0.85
0.78
0.89
0.77
0.85
0.82
0.59


49
31.40
31.00
28.60
27.50
32.40
30.00
28.20
30.80
25.20
27.60
30.60
26.80
26.60
25.50


50
2.21
3.42
3.31
2.21
2.83
3.79
1.75
2.18
2.52
2.71
2.37
2.63
4.09
3.44


51
0.77
1.10
0.65
0.51
0.98
1.22
0.60
0.64
0.53
0.86
0.70
0.84
2.01
0.76


52
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


53
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


54
58.57
35.92
39.05
48.28
40.65
52.33
59.10
52.22
52.85
43.76
36.61
38.74
46.16
45.38


55
0.96
NA
NA
0.88
0.81
0.91
1.01
0.95
0.95
NA
NA
NA
NA
0.81


56
57.92
35.92
39.05
48.28
40.65
52.33
59.10
52.85
52.32
43.76
36.61
38.74
46.16
45.38


57
60.61
NA
NA
NA
NA
NA
NA
NA
52.50
NA
NA
NA
NA
NA


58
NA
38.88
37.86
38.46
37.79
32.51
NA
38.37
36.93
38.18
NA
37.44
NA
39.40


59
11.04
8.18
9.42
14.44
13.46
14.92
8.04
12.85
7.88
5.62
9.90
8.69
7.61
12.70


60
54.66
53.94
70.22
67.83
76.02
85.68
48.28
64.02
54.78
47.98
34.78
40.28
61.96
92.38


61
67.28
101.45
95.21
66.74
84.32
100.27
55.05
65.93
74.17
69.47
76.90
81.10
118.81
94.59


62
0.76
1.04
0.59
0.49
0.84
0.97
0.57
0.56
0.52
0.71
0.66
0.79
1.63
0.66


63
NA
1.38
1.28
1.86
1.68
1.61
NA
1.73
1.47
1.20
NA
1.05
NA
1.96


64
NA
0.90
NA
1.05
0.85
0.90
NA
NA
0.97
0.99
NA
0.85
NA
0.75


65
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA


66
1.05
10.95
12.35
22.60
14.00
10.60
1.60
8.45
1.20
2.20
7.80
4.90
7.56
26.95


67
1.30
9.10
8.25
17.00
8.10
12.25
2.20
5.40
1.90
3.30
6.11
4.00
8.60
20.63


68
0.93
0.88
1.09
1.59
1.27
1.33
0.99
1.16
0.70
0.94
0.94
0.69
1.26
1.24


69
NA
415.32
640.96
475.71
353.87
453.77
NA
466.84
529.91
446.46
NA
614.57
NA
508.79


70
NA
0.76
NA
0.78
0.64
0.75
NA
NA
0.61
0.65
NA
1.05
NA
0.86


71
NA
49.45
47.24
40.36
26.15
31.13
NA
26.66
42.84
71.47
NA
47.29
NA
56.38


72
NA
0.61
NA
0.88
0.58
0.74
NA
NA
0.67
0.80
NA
0.75
NA
0.62


73
0.75
NA
0.31
0.18
0.18
0.25
0.51
0.34
0.51
NA
NA
0.68
0.76
0.09


74
2.65
NA
0.59
0.54
0.49
0.55
1.57
0.72
1.53
NA
NA
0.90
1.34
0.20


75
29.08
NA
20.07
34.93
26.95
32.65
28.31
38.64
22.29
NA
NA
27.17
18.07
26.91


76
3.29
NA
1.71
1.34
1.53 
1.54
2.58
1.72
2.82
NA
NA
2.00 
2.57
0.90


77
0.03
NA
0.02
0.01
0.01
0.01
0.02
0.01
0.02
NA
NA
0.03
0.04
0.00


78
1.08
NA
1.14
0.77
0.97
1.04
1.47
0.64
1.35
NA
NA
1.48
0.90
0.87


79
0.30
NA
0.68
0.37
0.37
0.42
0.35
0.38
0.36
NA
NA
0.80
0.81
0.52


80
1.35
NA
1.23
0.99
1.06
0.99
1.44
0.78
1.73
NA
NA
1.37
0.99
1.01


81
0.97
1.11
1.14
0.59
0.51
0.58
0.56
0.47
0.74
1.74
2.39
1.17
1.53
0.74


82
0.13
0.16
0.18
0.11
0.08
0.12
0.11
0.08
0.13
0.33
0.35
0.28
0.38
0.13


83
30.75
35.92
36.87
21.66
15.54
19.35
20.21
15.38
29.06
59.54
76.55
45.18
59.12
28.72


84
0.92
0.68
0.90
0.84
0.69
0.82
0.63
0.81
0.69
0.81
0.76
0.88
1.02
0.82


85
3.03
2.55
2.86
2.22
1.97
1.21
1.37
1.35
1.99
4.55
4.37
2.75
2.67
1.43


86
0.39
0.36
0.44
0.38
0.19
0.32
NA
0.24
0.43
0.87
0.64
0.65
0.80
0.33


87
NA
0.41
0.73
0.74
0.85
0.74
NA
0.77
0.87
0.36
NA
0.72
NA
0.47


88
NA
1.45
NA
1.09
1.43
1.10
NA
NA
1.15
1.42
NA
1.44
NA
1.42


89
2.51
NA
1.24
0.57
0.54
0.59
1.30
0.54
2.76
NA
NA
3.31
3.44
0.31


90
0.73
NA
0.89
0.86
0.93
0.98
0.66
0.74
0.80
NA
NA
1.07
0.78
0.88


91
NA
28.24
29.55
20.64
22.45
20.20
NA
22.14
25.05
31.81
NA
35.77
NA
20.08


92
NA
1.02
NA
0.90
1.14
11.0
NA
NA
1.00
1.00
NA
1.16
NA
1.28


93
NA
0.12
0.10
0.10
0.10
0.09
NA
0.07
0.12
0.16
NA
0.12
NA
0.10


94
NA
1.00
NA
1.16
1.21
1.09
NA
NA
1.19
1.32
NA
0.93
NA
1.02


95
2.46
NA
0.46
0.49
0.49
0.60
1.48
0.89
1.39
NA
NA
0.85
0.94
0.17


96
0.69
NA
1.05
0.75
1.26
1.23
1.11
0.81
0.71
NA
NA
1.34
1.00
1.06





Provided are the values of each of the parameters (as described in Table 59 above) measured in Foxtail millet accessions (lines; “L”) under low N conditions. Growth conditions are specified in the experimental procedure section.


“NA” = not available.













TABLE 62







Correlation between the expression level of selected genes of some embodiments 


of the invention in various tissues and the phenotypic performance under low 


nitrogen fertilization conditions across foxtail millet accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID



















WNU1 
0.938
1.77E−03
3
34
WNU1 
0.742
1.40E−02
3
4


WNU1 
0.731
6.20E−02
3
2
WNU1 
0.841
4.46E−03
3
25


WNU1 
0.701
7.91E−02
3
92
WNU1 
0.893
4.72E−03
3
79


WNU1 
0.765
4.53E−02
3
36
WNU1 
0.762
1.04E−02
3
15


WNU1 
0.812
2.66E−02
3
70
WNU1 
0.747
5.35E−02
3
88


WNU1 
0.765
1.64E−02
3
71
WNU1 
0.742
1.40E−02
3
32


WNU1 
0.772
2.48E−02
8
91
WNU1 
0.744
3.43E−02
8
93


WNU1 
0.707
2.23E−02
9
81
WNU1 
0.721
1.86E−02
9
83


WNU1 
0.893
1.20E−03
9
71
WNU1 
0.731
6.18E−02
9
39


WNU1 
0.816
7.31E−03
1
90
WNU1 
0.865
2.63E−03
1
79


WNU1 
0.759
4.80E−02
1
36
WNU1 
0.747
5.39E−02
1
70


WNU1 
0.718
2.95E−02
1
96
WNU1 
0.729
2.57E−02
1
91


WNU1 
0.864
5.61E−03
4
90
WNU1 
0.820
1.27E−02
4
79


WNU1 
0.840
9.07E−03
4
96
WNU1 
0.726
4.14E−02
4
88


WNU53
0.771
4.25E−02
3
34
WNU53
0.770
4.29E−02
3
7


WNU53
0.729
6.29E−02
3
2
WNU53
0.711
3.18E−02
3
6


WNU53
0.705
2.26E−02
3
82
WNU53
0.858
3.08E−03
3
79


WNU53
0.775
4.08E−02
3
36
WNU53
0.806
2.85E−02
3
70


WNU53
0.753
1.93E−02
3
91
WNU53
0.709
7.43E−02
8
25


WNU53
0.724
1.04E−01
8
92
WNU53
0.702
3.49E−02
8
60


WNU53
0.760
1.74E−02
8
15
WNU53
0.869
5.11E−03
8
63


WNU53
0.741
3.53E−02
8
91
WNU53
0.746
2.10E−02
8
66


WNU53
0.706
3.36E−02
9
73
WNU53
0 765
9.96E−03
9
16


WNU53
0.854
3.35E−03
9
76
WNU53
0.754
1.17E−02
9
18


WNU53
0.884
1.55E−03
9
95
WNU53
0.782
1.27E−02
9
23


WNU53
0.701
3.53E−02
9
26
WNU53
0.859
3.03E−03
9
27


WNU53
0.753
1.19E−02
9
19
WNU53
0.881
1.69E−03
9
74


WNU53
0.949
2.73E−05
1
4
WNU53
0 850
3.71E−03
1
25


WNU53
0.848
3.90E−03
1
79
WNU53
0.927
1.16E−04
1
15


WNU53
0.949
2.73E−05
1
32
WNU53
0.791
1.12E−02
1
91


WNU53
0.743
2.19E−02
1
69
WNU53
0.768
1.56E−02
1
35


WNU53
0.760
1.07E−02
4
4
WNU53
0.878
4.14E−03
4
25


WNU53
0.924
1.04E−03
4
79
WNU53
0.808
1.52E−02
4
36


WNU53
0.861
1.39E−03
4
15
WNU53
0.778
7.99E−03
4
42


WNU53
0.818
1.30E−02
4
70
WNU53
0.776
8.34E−03
4
47


WNU53
0.760
1.07E−02
4
32
WNU53
0.873
4.69E−03
4
75


WNU53
0.772
8.95E−03
4
46
WNU53
0.862
1.26E−02
2
34


WNU53
0.816
2.52E−02
2
2
WNU53
0.862
2.79E−03
2
25


WNU53
0.915
5.53E−04
2
79
WNU53
0.864
1.22E−02
2
36


WNU53
0.895
6.42E−03
2
70
WNU53
0.865
2.61E−03
2
69


WNU53
0.831
5.50E−03
2
35
WNU54
0.711
2.11E−02
3
38


WNU54
0.787
1.19E−02
3
75
WNU54
0.835
1.94E−02
3
72


WNU54
0.778
3.92E−02
8
73
WNU54
0.718
6.92E−02
8
76


WNU54
0.725
6.51E−02
8
28
WNU54
0.776
1.39E−02
8
20


WNU54
0.887
7.75E−03
8
30
WNU54
0.772
4.20E−02
8
95


WNU54
0.704
3.42E−02
8
86
WNU54
0.838
3.74E−02
8
64


WNU54
0.896
1.56E−02
8
55
WNU54
0.748
2.04E−02
8
11


WNU54
0.749
5.25E−02
8
74
WNU54
0.811
5.03E−02
8
72


WNU54
0.768
7.45E−02
8
39
WNU54
0.831
2.92E−03
9
67


WNU54
0.883
7.04E−04
9
10
WNU54
0.766
9.86E−03
9
60


WNU54
0.921
4.16E−04
9
63
WNU54
0.878
8.46E−04
9
66


WNU54
0.711
3.16E−02
1
73
WNU54
0.773
8.69E−03
1
16


WNU54
0.862
2.77E−03
1
76
WNU54
0.815
7.39E−03
1
28


WNU54
0.713
2.07E−02
1
12
WNU54
0.763
1.02E−02
1
8


WNU54
0.821
6.65E−03
1
30
WNU54
0.884
1.57E−03
1
95


WNU54
0.873
2.14E−03
1
23
WNU54
0.720
2.86E−02
1
77


WNU54
0.762
1.71E−02
1
26
WNU54
0.913
5.89E−04
1
27


WNU54
0.928
3.08E−04
1
74
WNU54
0.718
1.95E−02
1
5


WNU54
0.912
1.62E−03
4
25
WNU54
0.938
5.77E−04
4
79


WNU54
0.750
3.21E−02
4
36
WNU54
0.726
1.75E−02
4
15


WNU54
0.769
2.57E−02
4
70
WNU54
0.803
5.16E−03
2
9


WNU54
0.772
1.47E−02
2
76
WNU54
0.779
1.34E−02
2
89


WNU54
0.719
1.92E−02
2
14
WNU54
0.731
1.63E−02
2
37


WNU54
0.834
5.20E−03
2
23
WNU54
0.748
2.05E−02
2
77


WNU54
0.864
2.70E−03
2
80
WNU54
0.733
2.48E−02
2
24


WNU54
0.816
7.33E−03
2
26
WNU54
0.755
1.86E−02
2
78


WNU54
0.749
2.03E−02
2
27
WNU54
0.739
2.30E−02
2
93


WNU55
0.898
6.05E−03
3
34
WNU55
0.757
1.13E−02
3
62


WNU55
0.801
3.03E−02
3
88
WNU55
0.918
4.85E−04
8
81


WNU55
0.842
3.53E−02
8
7
WNU55
0.882
1.66E−03
8
85


WNU55
0.876
1.97E−03
8
83
WNU55
0.940
1.63E−04
8
37


WNU55
0.753
1.93E−02
8
4
WNU55
0.822
6.53E−03
8
82


WNU55
0.737
2.34E−02
8
86
WNU55
0.732
2.49E−02
8
15


WNU55
0.830
4.08E−02
8
88
WNU55
0.730
3.97E−02
8
71


WNU55
0.753
1.93E−02
8
32
WNU55
0.985
7.96E−06
8
91


WNU55
0.839
9.18E−03
8
93
WNU55
0.926
7.98E−03
8
39


WNU55
0.801
5.35E−03
9
81
WNU55
0.788
6.79E−03
9
85


WNU55
0.741
1.43E−02
9
83
WNU55
0.720
1.89E−02
9
86


WNU55
0.742
2.21E−02
9
71
WNU55
0.790
1.12E−02
9
93


WNU55
0.845
2.08E−03
1
81
WNU55
0.889
5.74E−04
1
83


WNU55
0.821
3.59E−03
1
37
WNU55
0.751
1.24E−02
1
4


WNU55
0.850
3.70E−03
1
25
WNU55
0.945
3.82E−05
1
82


WNU55
0.942
1.44E−04
1
79
WNU55
0.872
9.90E−04
1
86


WNU55
0.723
1.81E−02
1
15
WNU55
0.726
2.67E−02
1
71


WNU55
0.751
1.24E−02
1
32
WNU55
0.942
1.44E−04
1
91


WNU55
0.744
2.14E−02
1
93
WNU55
0.770
4.30E−02
1
39


WNU55
0.768
9.42E−03
4
37
WNU55
0.714
4.68E−02
4
25


WNU55
0.759
1.09E−02
4
91
WNU55
0.740
1.44E−02
2
67


WNU55
0.746
1.33E−02
2
10
WNU55
0.909
6.77E−04
2
1


WNU55
0.766
9.77E−03
2
66
WNU56
0.701
7.94E−02
3
36


WNU56
0.701
7.95E−02
3
70
WNU56
0.706
2.25E−02
3
19


WNU56
0.779
3.88E−02
8
73
WNU56
0.727
6.40E−02
8
76


WNU56
0.752
1.94E−02
8
56
WNU56
0.806
8.67E−03
8
18


WNU56
0.701
7.95E−02
8
30
WNU56
0.790
3.46E−02
8
95


WNU56
0.813
4.93E−02
8
2
WNU56
0.710
4.83E−02
8
1


WNU56
0.759
2.90E−02
8
33
WNU56
0.717
2.96E−02
8
42


WNU56
0.773
7.16E−02
8
55
WNU56
0.758
1.80E−02
8
54


WNU56
0.743
2.17E−02
8
47
WNU56
0.701
7.93E−02
8
27


WNU56
0.723
6.63E−02
8
74
WNU56
0.705
3.39E−02
8
49


WNU56
0.750
5.23E−02
9
34
WNU56
0.882
8.57E−03
9
2


WNU56
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77
WNU56
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79


WNU56
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36
WNU56
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1


WNU56
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70
WNU56
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55


WNU56
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69
WNU56
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35


WNU56
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4.28E−02
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2
WNU56
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5.15E−03
1
42


WNU56
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5.55E−03
1
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WNU56
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1.16E−02
1
59


WNU56
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2.02E−02
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WNU56
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6.09E−03
1
46


WNU56
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2.01E−02
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56
WNU56
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1.12E−02
4
42


WNU56
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1.98E−02
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54
WNU56
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1.30E−02
4
47


WNU56
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1.92E−02
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WNU56
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8.35E−03
4
46


WNU56
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4.28E−02
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2
WNU56
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7.15E−03
2
1


WNU56
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2.31E−02
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WNU57
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3.10E−02
3
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WNU57
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7.89E−03
8
42
WNU57
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8.56E−03
8
47


WNU57
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4.23E−02
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63
WNU57
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2.39E−02
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59


WNU57
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2.90E−02
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75
WNU57
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2.14E−02
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46


WNU57
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3.36E−03
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67
WNU57
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5.87E−04
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10


WNU57
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1.16E−02
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60
WNU57
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9.13E−04
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63


WNU57
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1.87E−02
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59
WNU57
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5.76E−03
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66


WNU57
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1.49E−02
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WNU57
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7.45E−02
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36


WNU57
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2.60E−02
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WNU58
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1.13E−01
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34


WNU58
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5.76E−02
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90
WNU58
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1.40E−02
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25


WNU58
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2.84E−02
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79
WNU58
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61


WNU58
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WNU58
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10


WNU58
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2
WNU58
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1.92E−02
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66


WNU58
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2.11E−02
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10
WNU58
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2.97E−02
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63


WNU58
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4.81E−02
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WNU58
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9.03E−03
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79


WNU58
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3.60E−02
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WNU58
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9.42E−03
4
91


WNU60
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WNU60
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1.76E−04
1
68


WNU60
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1.55E−03
1
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WNU60
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1.74E−02
1
46


WNU60
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1.79E−02
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42
WNU60
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47


WNU60
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WNU60
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2.03E−02
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46


WNU60
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1.35E−02
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WNU60
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1.86E−02
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86


WNU60
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WNU61
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67


WNU61
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WNU61
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3
10


WNU61
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WNU61
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36


WNU61
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70
WNU61
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5.55E−02
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94


WNU61
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9.38E−02
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2
WNU61
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48


WNU61
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33
WNU61
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64


WNU61
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43
WNU61
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3.78E−02
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87


WNU61
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5.31E−02
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91
WNU61
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81


WNU61
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WNU61
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85


WNU61
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83
WNU61
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37


WNU61
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WNU61
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25


WNU61
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3.31E−04
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82
WNU61
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79


WNU61
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86
WNU61
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15


WNU61
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WNU61
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71


WNU61
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32
WNU61
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91


WNU61
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93
WNU61
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39


WNU61
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WNU61
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10


WNU61
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6.40E−04
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WNU61
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1.48E−02
1
60


WNU61
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7.80E−02
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WNU61
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2.38E−02
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1


WNU61
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WNU61
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88


WNU61
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WNU61
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75


WNU61
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WNU61
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4
34


WNU61
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3.70E−02
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WNU61
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34


WNU61
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8.74E−03
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WNU61
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36


WNU61
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70
WNU61
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2.73E−02
2
69


WNU61
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35
WNU63
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3
34


WNU63
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3.77E−03
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WNU63
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1.78E−03
3
83


WNU63
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2.26E−02
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7
WNU63
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1.54E−02
3
25


WNU63
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1.14E−02
3
37
WNU63
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1.31E−02
3
6


WNU63
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3.72E−02
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WNU63
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8.13E−03
3
79


WNU63
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1.12E−02
3
82
WNU63
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1.65E−02
3
91


WNU63
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2.67E−02
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71
WNU63
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5.30E−02
8
73


WNU63
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5.60E−02
3
39
WNU63
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4.16E−02
8
76


WNU63
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1.82E−03
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16
WNU63
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1.11E−02
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89


WNU63
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2.31E−02
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12
WNU63
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85


WNU63
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8.26E−04
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7
WNU63
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3.35E−02
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37


WNU63
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1.68E−02
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8
WNU63
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3.05E−02
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23


WNU63
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5.23E−02
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95
WNU63
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1.72E−02
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80


WNU63
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1.11E−02
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77
WNU63
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2.16E−02
8
26


WNU63
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2.51E−02
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24
WNU63
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1.22E−03
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88


WNU63
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27
WNU63
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2.61E−03
8
91


WNU63
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4.51E−02
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71
WNU63
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93


WNU63
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74
WNU63
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73


WNU63
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39
WNU63
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3.42E−02
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76


WNU63
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2.02E−02
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16
WNU63
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9.79E−03
9
95


WNU63
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2.59E−02
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28
WNU63
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1.69E−02
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36


WNU63
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1.72E−02
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84
WNU63
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70


WNU63
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3.01E−02
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24
WNU63
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4.26E−03
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69


WNU63
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1.68E−02
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27
WNU63
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2.34E−03
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35


WNU63
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4.83E−03
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74
WNU63
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1.02E−03
1
82


WNU63
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1
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WNU63
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7.08E−03
1
86


WNU63
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6.40E−03
1
79
WNU63
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2.45E−03
1
91


WNU63
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2.78E−02
1
78
WNU63
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3.71E−03
4
73


WNU63
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4.18E−02
1
39
WNU63
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1.27E−02
4
37


WNU63
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1.14E−03
4
89
WNU63
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7.02E−03
4
82


WNU63
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4.51E−03
4
77
WNU63
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1.33E−03
4
24


WNU63
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3.23E−02
4
79
WNU63
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4.58E−02
4
70


WNU63
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6.51E−03
4
26
WNU63
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4
91


WNU63
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5.76E−03
4
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WNU63
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1.77E−02
2
82


WNU63
0.768
4.40E−02
4
39
WNU63
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2.46E−02
2
36


WNU63
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1.91E−02
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79
WNU63
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2.10E−02
2
91


WNU63
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3.57E−02
2
70
WNU63
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7.81E−02
2
39


WNU63
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3.53E−02
2
35
WNU65
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2.50E−03
3
25


WNU65
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7.38E−02
3
34
WNU65
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1.25E−03
3
79


WNU65
0.722
1.85E−02
3
82
WNU65
0.806
2.86E−02
3
70


WNU65
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3.69E−02
3
36
WNU65
0.738
2.32E−02
3
71


WNU65
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1.63E−02
3
29
WNU65
0.714
3.08E−02
8
16


WNU65
0.910
4.38E−03
8
73
WNU65
0.817
2.49E−02
8
28


WNU65
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1.45E−03
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76
WNU65
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3.13E−03
8
89


WNU65
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9.98E−03
8
81
WNU65
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1.97E−03
8
85


WNU65
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6.25E−02
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94
WNU65
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1.10E−02
8
30


WNU65
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1.01E−02
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83
WNU65
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9.24E−04
8
95


WNU65
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3.18E−02
8
37
WNU65
0.951
1.02E−03
8
23


WNU65
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2.05E−02
8
25
WNU65
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6.00E−03
8
82


WNU65
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1.14E−02
8
77
WNU65
0.884
1.56E−03
8
86


WNU65
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5.44E−02
8
79
WNU65
0.951
9.70E−04
8
26


WNU65
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3.46E−03
8
24
WNU65
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4.74E−04
8
27


WNU65
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3.04E−02
8
11
WNU65
0.876
4.38E−03
8
93


WNU65
0.974
2.03E−04
8
74
WNU65
0.708
3.27E−02
9
93


WNU65
0.762
4.66E−02
9
94
WNU65
0.861
1.38E−03
1
81


WNU65
0.741
1.42E−02
9
49
WNU65
0.793
6.24E−03
1
83


WNU65
0.863
1.30E−03
1
85
WNU65
0.722
2.80E−02
1
6


WNU65
0.877
8.52E−04
1
37
WNU65
0.711
7.35E−02
1
70


WNU65
0.731
1.63E−02
1
86
WNU65
0.733
3.87E−02
4
94


WNU65
0.806
8.76E−03
1
93
WNU65
0.766
2.66E−02
4
36


WNU65
0.761
2.84E−02
4
79
WNU65
0.724
1.79E−02
4
91


WNU65
0.771
2.52E−02
4
70
WNU65
0.868
2.43E−03
2
76


WNU65
0.702
2.37E−02
4
93
WNU65
0.753
1.19E−02
2
85


WNU65
0.755
4.99E−02
2
94
WNU65
0.730
1.65E−02
2
37


WNU65
0.703
2.34E−02
2
10
WNU65
0.839
4.68E−03
2
23


WNU65
0.756
1.83E−02
2
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WNU65
0.702
3.52E−02
2
63


WNU65
0.702
3.51E−02
2
80
WNU65
0.756
1.83E−02
2
74


WNU65
0.831
5.53E−03
2
27
WNU66
0.823
2.29E−02
3
7


WNU65
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6.42E−03
2
93
WNU66
0.813
2.62E−02
8
73


WNU66
0.819
2.42E−02
3
92
WNU66
0.788
3.53E−02
8
89


WNU66
0.751
5.17E−02
8
76
WNU66
0.705
3.38E−02
8
20


WNU66
0.729
2.59E−02
8
50
WNU66
0.735
2.40E−02
8
62


WNU66
0.854
1.45E−02
8
90
WNU66
0.845
1.67E−02
8
77


WNU66
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7.67E−02
8
23
WNU66
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5.28E−02
8
26


WNU66
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5.13E−02
8
24
WNU66
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1.33E−02
8
55


WNU66
0.829
2.12E−02
8
96
WNU66
0.820
1.28E−02
8
91


WNU66
0.764
1.65E−02
8
51
WNU66
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3.60E−02
9
34


WNU66
0.735
9.63E−02
8
39
WNU66
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3.83E−02
9
2


WNU66
0.714
3.08E−02
9
90
WNU66
0.932
2.19E−03
9
36


WNU66
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1.19E−02
9
79
WNU66
0.713
2.07E−02
9
61


WNU66
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1.16E−03
9
70
WNU66
0.725
4.20E−02
4
25


WNU66
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1.43E−02
1
46
WNU66
0.776
1.40E−02
2
76


WNU66
0.885
1.49E−03
2
73
WNU66
0.947
1.09E−04
2
89


WNU66
0.759
1.09E−02
2
81
WNU66
0.780
7.74E−03
2
83


WNU66
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5.59E−02
2
7
WNU66
0.791
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2
23


WNU66
0.838
2.48E−03
2
37
WNU66
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1.66E−03
2
82


WNU66
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1.42E−04
2
77
WNU66
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1.59E−03
2
86


WNU66
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1.53E−02
2
80
WNU66
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9.36E−04
2
26


WNU66
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2.59E−04
2
24
WNU66
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1.69E−02
2
11


WNU66
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6.57E−03
2
78
WNU66
0.869
2.38E−03
2
91


WNU66
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1.75E−02
2
27
WNU67
0.725
2.70E−02
8
67


WNU66
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2.46E−03
2
39
WNU67
0.791
3.40E−02
8
90


WNU67
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1.81E−02
8
50
WNU67
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5.63E−04
8
60


WNU67
0.740
9.28E−02
8
2
WNU67
0.886
1.46E−03
8
68


WNU67
0.901
5.62E−03
8
96
WNU67
0.754
1.88E−02
8
51


WNU67
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5.12E−02
8
63
WNU67
0.805
8.93E−03
8
59


WNU67
0.750
3.20E−02
8
87
WNU67
0.814
2.60E−02
9
70


WNU67
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2.20E−02
9
36
WNU67
0.795
5.98E−03
4
54


WNU67
0.796
5.92E−03
4
56
WNU67
0.724
1.79E−02
2
62


WNU67
0.735
2.41E−02
2
90
WNU67
0.804
2.92E−02
2
70


WNU67
0.824
2.25E−02
2
36
WNU67
0.765
4.52E−02
2
88


WNU67
0.705
3.41E−02
2
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WNU68
0.916
5.12E−04
8
81


WNU68
0.832
2.03E−02
3
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WNU68
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3.36E−04
8
83


WNU68
0.809
8.25E−03
8
85
WNU68
0.940
1.63E−04
8
82


WNU68
0.831
5.46E−03
8
37
WNU68
0.821
1.25E−02
8
71


WNU68
0.917
5.10E−04
8
86
WNU68
0.850
7.46E−03
8
93


WNU68
0.826
1.14E−02
8
91
WNU68
0.897
1.06E−03
9
73


WNU68
0.787
6.35E−02
8
39
WNU68
0.739
2.29E−02
9
89


WNU68
0.809
8.27E−03
9
76
WNU68
0.853
3.49E−03
9
77


WNU68
0.767
1.58E−02
9
95
WNU68
0.810
8.07E−03
9
26


WNU68
0.772
1.47E−02
9
24
WNU68
0.748
1.29E−02
1
81


WNU68
0.745
2.11E−02
9
74
WNU68
0.818
3.85E−03
1
83


WNU68
0.710
3.21E−02
1
89
WNU68
0.807
8.59E−03
1
25


WNU68
0.794
6.14E−03
1
37
WNU68
0.886
1.47E−03
1
79


WNU68
0.877
8.67E−04
1
82
WNU68
0.769
1.54E−02
1
78


WNU68
0.785
7.11E−03
1
86
WNU68
0.954
6.41E−05
1
91


WNU68
0.743
2.17E−02
1
71
WNU68
0.759
1.77E−02
1
35


WNU68
0.711
3.19E−02
1
69
WNU68
0.832
2.84E−03
4
81


WNU68
0.833
2.00E−02
1
39
WNU68
0.727
4.10E−02
4
89


WNU68
0.790
6.52E−03
4
12
WNU68
0.733
3.85E−02
4
94


WNU68
0.745
1.34E−02
4
14
WNU68
0.833
2.80E−03
4
8


WNU68
0.844
2.14E−03
4
85
WNU68
0.872
1.00E−03
4
37


WNU68
0.844
2.16E−03
4
83
WNU68
0.759
2.90E−02
4
77


WNU68
0.837
9.60E−03
4
25
WNU68
0.762
2.79E−02
4
80


WNU68
0.761
1.05E−02
4
82
WNU68
0.707
4.98E−02
4
24


WNU68
0.777
8.18E−03
4
86
WNU68
0.792
6.32E−03
4
91


WNU68
0.729
1.68E−02
4
71
WNU68
0.927
2.62E−03
4
39


WNU68
0.803
5.11E−03
4
93
WNU68
0.702
2.37E−02
2
14


WNU68
0.764
1.66E−02
2
89
WNU68
0.750
1.26E−02
2
37


WNU68
0.788
3.52E−02
2
7
WNU68
0.793
1.07E−02
2
80


WNU68
0.707
3.33E−02
2
77
WNU68
0.775
1.41E−02
2
91


WNU68
0.742
2.20E−02
2
78
WNU69
0.708
7.49E−02
3
88


WNU69
0.888
7.53E−03
3
34
WNU69
0.781
7.62E−03
9
14


WNU69
0.796
5.83E−03
9
9
WNU69
0.772
8.90E−03
9
83


WNU69
0.788
3.52E−02
9
7
WNU69
0.788
1.17E−02
9
25


WNU69
0.713
2.07E−02
9
37
WNU69
0.743
1.38E−02
9
82


WNU69
0.863
2.73E−03
9
6
WNU69
0.834
5.24E−03
9
71


WNU69
0.793
6.19E−03
9
86
WNU69
0.317
2.96E−02
9
35


WNU69
0.839
4.74E−03
9
93
WNU69
0.929
1.01E−04
1
81


WNU69
0.774
4.11E−02
9
39
WNU69
0.862
1.33E−03
1
83


WNU69
0.885
6.73E−04
1
85
WNU69
0.736
1.53E−02
1
4


WNU69
0.858
1.51E−03
1
37
WNU69
0.773
8.70E−03
1
86


WNU69
0.809
4.57E−03
1
82
WNU69
0.720
2.88E−02
1
71


WNU69
0.720
1.88E−02
1
15
WNU69
0.835
5.12E−03
1
91


WNU69
0.736
1.53E−02
1
32
WNU69
0.749
5.27E−02
1
39


WNU69
0.747
2.08E−02
1
93
WNU69
0.912
2.33E−04
2
81


WNU69
0.734
1.56E−02
2
16
WNU69
0.864
1.26E−03
2
83


WNU69
0.837
2.53E−03
2
85
WNU69
0.741
2.24E−02
2
77


WNU69
0.885
6.64E−04
2
37
WNU69
0.753
1.20E−02
2
86


WNU69
0.740
1.45E−02
2
82
WNU69
0.756
1.85E−02
2
91


WNU69
0.817
7.13E−03
2
71
WNU69
0.820
2.38E−02
2
39


WNU69
0.795
1.05E−02
2
93
WNU70
0.815
2.55E−02
3
34


WNU70
0.866
1.20E−03
3
50
WNU70
0.844
3.45E−02
8
64


WNU70
0.888
6.09E−04
3
61
WNU70
0.762
1.71E−02
8
13


WNU70
0.704
1.18E−01
8
72
WNU70
0.742
5.64E−02
9
7


WNU70
0.780
7.78E−03
9
81
WNU70
0.732
1.60E−02
9
37


WNU70
0.841
2.32E−03
9
83
WNU70
0.835
5.10E−03
9
25


WNU70
0.749
5.25E−02
9
2
WNU70
0.908
7.22E−04
9
79


WNU70
0.849
1.87E−03
9
82
WNU70
0.819
6.91E−03
9
71


WNU70
0.745
1.33E−02
9
86
WNU70
0.747
2.08E−02
9
69


WNU70
0.779
1.33E−02
9
91
WNU70
0.812
4.36E−03
1
12


WNU70
0.812
2.65E−02
9
39
WNU70
0.730
1.66E−02
1
42


WNU70
0.783
7.42E−03
1
8
WNU70
0.739
1.47E−02
1
47


WNU70
0.859
1.46E−03
1
68
WNU70
0.709
3.26E−02
1
75


WNU70
0.782
7.46E−03
1
59
WNU70
0.707
2.22E−02
1
5


WNU70
0.720
1.88E−02
1
46
WNU70
0.777
8.20E−03
4
4


WNU70
0.725
1.76E−02
4
56
WNU70
0.850
7.50E−03
4
79


WNU70
0.791
1.94E−02
4
25
WNU70
0.828
3.08E−03
4
15


WNU70
0.747
3.33E−02
4
36
WNU70
0.726
1.75E−02
4
54


WNU70
0.745
3.38E−02
4
70
WNU70
0.709
4.90E−02
4
75


WNU70
0.777
8.20E−03
4
32
WNU70
0.718
1.94E−02
2
37


WNU70
0.774
8.54E−03
2
81
WNU71
0.756
1.83E−02
3
75


WNU71
0.746
5.39E−02
3
64
WNU71
0.707
7.57E−02
8
26


WNU71
0.785
3.63E−02
3
72
WNU71
0.790
1.13E−02
9
90


WNU71
0.715
1.10E−01
8
88
WNU71
0.837
2.53E−03
4
48


WNU71
0.747
5.35E−02
9
2
WNU71
0.738
1.49E−02
4
91


WNU71
0.768
9.47E−03
4
43
WNU72
0.757
1.81E−02
3
25


WNU71
0.728
2.62E−02
2
1
WNU72
0.817
2.48E−02
3
70


WNU72
0.805
2.90E−02
3
36
WNU72
0.756
1.83E−02
3
69


WNU72
0.703
3.45E−02
3
71
WNU72
0.783
3.75E−02
3
72


WNU72
0.786
1.21E−02
3
35
WNU72
0.778
6.83E−02
8
64


WNU72
0.712
3.16E−02
8
15
WNU72
0.707
3.31E−02
8
13


WNU72
0.769 
4.32E−02
8
96
WNU72
0.939
5.58E−05
9
10


WNU72
0.916
1.94E−04
9
67
WNU72
0.706
3.35E−02
9
79


WNU72
0.962
8.93E−06
9
84
WNU72
0.836
1.91E−02
9
70


WNU72
0.838
1.85E−02
9
36
WNU72
0.701
2.38E−02
9
11


WNU72
0.734
1.57E−02
9
68
WNU72
0.864
2.69E−03
9
35


WNU72
0.843
4.33E−03
9
69
WNU72
0.726
6.49E−02
9
39


WNU72
0.898
4.25E−04
9
66
WNU72
0.819
3.72E−03
1
10


WNU72
0.722
1.84E−02
1
67
WNU72
0.908
7.17E−04
1
79


WNU72
0.822
6.54E−03
1
25
WNU72
0.712
3.13E−02
1
1


WNU72
0.937
1.88E−03
1
36
WNU72
0.786
1.20E−02
1
69


WNU72
0.928
2.53E−03
1
70
WNU72
0.784
1.24E−02
1
35


WNU72
0.734
2.43E−02
1
75
WNU72
0.896
2.62E−03
4
7


WNU72
0.726
1.76E−02
1
66
WNU72
0.756
3.01E−02
4
36


WNU72
0.759
2.90E−02
4
92
WNU72
0.722
4.31E−02
4
72


WNU72
0.727
4.09E−02
4
70
WNU72
0.751
1.96E−02
2
89


WNU72
0.741
2.23E−02
2
73
WNU72
0.833
2.00E−02
2
36


WNU72
0.737
2.35E−02
2
77
WNU72
0.809
2.75E−02
2
70


WNU72
0.754
1.89E−02
2
24
WNU72
0.814
7.53E−03
2
69


WNU72
0.747
5.37E−02
2
55
WNU73
0.701
3.55E−02
8
67


WNU72
0.751
1.98E−02
2
35
WNU73
0.794
5.94E−02
8
2


WNU73
0.720
2.87E−02
8
10
WNU73
0.890
3.07E−03
8
63


WNU73
0.824
6.27E−03
8
60
WNU73
0.823
3.45E−03
9
67


WNU73
0.760
1.74E−02
8
59
WNU73
0.775
8.48E−03
9
66


WNU73
0.793
6.25E−03
9
10
WNU73
0.849
1.87E−03
1
10


WNU73
0.732
1.61E−02
1
67
WNU73
0.756
1.14E−02
4
63


WNU73
0.814
7.54E−03
1
63
WNU73
0.786
3.63E−02
2
36


WNU73
0.746
5.44E−02
2
2
WNU74
0.742
5.61E−02
3
34


WNU73
0.774
4.09E−02
2
70
WNU74
0.764
4.58E−02
3
92


WNU74
0.714
7.15E−02
3
2
WNU74
0.823
2.30E−02
3
70


WNU74
0.794
3.30E−02
3
36
WNU74
0.788
3.51E−02
8
90


WNU74
0.860
2.93E−03
8
50
WNU74
0.848
3.27E−02
8
2


WNU74
0.908
7.07E−04
8
62
WNU74
0.898
1.00E−03
8
61


WNU74
0.836
1.92E−02
8
96
WNU74
0.784
3.69E−02
9
34


WNU74
0.944
1.28E−04
8
51
WNU74
0.717
2.98E−02
9
25


WNU74
0.825
2.24E−02
9
2
WNU74
0.923
2.99E−03
9
36


WNU74
0.859
3.02E−03
9
79
WNU74
0.736
1.53E−02
9
66


WNU74
0.932
2.21E−03
9
70
WNU74
0.794
3.32E−02
1
2


WNU74
0.705
2.27E−02
1
50
WNU74
0.710
2.15E−02
1
61


WNU74
0.762
1.71E−02
1
1
WNU74
0.804
1.63E−02
4
89


WNU74
0.885
3.47E−03
4
73
WNU74
0.754
3.07E−02
4
77


WNU74
0.701
5.27E−02
4
25
WNU74
0.773
2.44E−02
4
26


WNU74
0.797
1.79E−02
4
24
WNU74
0.742
5.64E−02
2
34


WNU74
0.722
1.05E−01
4
55
WNU74
0.830
2.08E−02
2
92


WNU74
0.712
7.27E−02
2
7
WNU74
0.776
8.33E−03
2
82


WNU74
0.852
3.54E−03
2
6
WNU74
0.754
5.05E−02
2
36


WNU74
0.761
1.72E−02
2
79
WNU74
0.907
4.85E−03
2
88


WNU74
0.736
5.94E−02
2
70
WNU74
0.703
3.47E−02
2
69


WNU74
0.741
2.24E−02
2
91
WNU74
0.714
3.06E−02
2
35





“Corr. ID”—correlation set ID according to the correlated parameters Table 59 above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.













TABLE 63







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal fertilization


conditions across foxtail millet accessions




















Cor.




Cor.


Gene


Exp.
Set
Gene


Exp.
Set


Name
R
P value
set
ID
Name
R
P value
set
ID



















WNU1
0.722
1.84E−02
3
35
WNU1
0.722
1.84E−02
3
42


WNU1
0.853
3.49E−03
2
29
WNU1
0.853
3.43E−03
2
33


WNU1
0.715
3.05E−02
2
30
WNU1
0.844
4.24E−03
2
40


WNU1
0.873
2.11E−03
2
32
WNU1
0.775
2.38E−02
11
1


WNU1
0.768
9.51E−03
11
56
WNU1
0.735
5.96E−02
9
52


WNU1
0.773
1.45E−02
12
62
WNU1
0.726
4.14E−02
12
54


WNU53
0.703
1.19E−01
8
41
WNU53
0.714
3.06E−02
4
7


WNU53
0.937
1.82E−03
4
54
WNU53
0.914
1.51E−03
3
4


WNU53
0.834
1.97E−02
2
4
WNU53
0.900
9.31E−04
5
46


WNU53
0.724
6.57E−02
5
20
WNU53
0.861
2.86E−03
5
7


WNU53
0.872
4.73E−03
5
4
WNU53
0.803
9.21E−03
5
45


WNU53
0.755
5.00E−02
5
53
WNU53
0.708
2.21E−02
11
29


WNU53
0.713
2.06E−02
11
33
WNU53
0.942
4.78E−04
11
43


WNU53
0.718
1.93E−02
11
7
WNU53
0.730
3.99E−02
11
19


WNU53
0.740
1.44E−02
1
26
WNU53
0.780
1.32E−02
1
19


WNU53
0.894
2.75E−03
1
62
WNU53
0.714
2.03E−02
1
56


WNU53
0.823
6.49E−03
9
46
WNU53
0.827
5.95E−03
9
29


WNU53
0.846
4.06E−03
9
33
WNU53
0.838
9.46E−03
9
43


WNU53
0.778
1.37E−02
9
7
WNU53
0.778
3.93E−02
9
19


WNU53
0.700
5.32E−02
9
4
WNU53
0.716
3.02E−02
9
45


WNU53
0.706
3.37E−02
9
59
WNU53
0.716
3.02E−02
12
47


WNU53
0.718
2.95E−02
12
25
WNU54
0.864
1.22E−02
4
49


WNU54
0.759
4.79E−02
4
20
WNU54
0.777
4.00E−02
4
52


WNU54
0.777
3.99E−02
4
61
WNU54
0.762
1.71E−02
4
55


WNU54
0.753
8.42E−02
4
37
WNU54
0.725
2.70E−02
4
58


WNU54
0.739
5.76E−02
4
21
WNU54
0.734
2.43E−02
4
26


WNU54
0.850
1.53E−02
4
63
WNU54
0.718
6.91E−02
4
19


WNU54
0.856
1.40E−02
4
50
WNU54
0.725
6.51E−02
4
17


WNU54
0.712
3.12E−02
4
62
WNU54
0.838
1.86E−02
4
53


WNU54
0.828
2.13E−02
4
18
WNU54
0.865
5.51E−03
3
48


WNU54
0.911
4.28E−03
2
20
WNU54
0.749
5.28E−02
2
52


WNU54
0.883
8.37E−03
2
61
WNU54
0.782
3.79E−02
2
21


WNU54
0.791
3.43E−02
2
17
WNU54
0.828
2.15E−02
2
53


WNU54
0.923
2.99E−03
2
18
WNU54
0.826
6.06E−03
5
46


WNU54
0.719
4.44E−02
5
43
WNU54
0.767
1.59E−02
5
7


WNU54
0.701
3.54E−02
5
14
WNU54
0.828
2.13E−02
11
37


WNU54
0.756
3.00E−02
11
19
WNU54
0.845
4.17E−03
1
49


WNU54
0.791
1.12E−02
1
52
WNU54
0.722
1.84E−02
1
8


WNU54
0.715
2.00E−02
1
13
WNU54
0.768
9.42E−03
1
5


WNU54
0.923
3.93E−04
1
63
WNU54
0.946
1.15E−04
1
50


WNU54
0.784
1.24E−02
1
53
WNU54
0.728
2.61E−02
9
46


WNU54
0.730
2.55E−02
9
11
WNU54
0.731
3.93E−02
9
43


WNU55
0.726
4.13E−02
3
1
WNU55
0.789
6.61E−03
3
40


WNU55
0.829
2.11E−02
2
1
WNU55
0.788
3.53E−02
2
54


WNU55
0.742
5.60E−02
5
20
WNU55
0.803
2.95E−02
5
52


WNU55
0.762
4.63E−02
5
61
WNU55
0.828
2.14E−02
5
21


WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU55
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU56
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WNU57
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WNU57
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WNU57
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WNU57
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WNU58
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WNU58
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WNU58
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WNU58
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WNU58
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WNU58
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WNU58
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WNU59
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU60
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU61
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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37


WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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53


WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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WNU63
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41


WNU63
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WNU63
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WNU63
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WNU63
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58


WNU63
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WNU63
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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54


WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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32
WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU65
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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52


WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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WNU66
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63


WNU66
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50
WNU66
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WNU66
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WNU66
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56


WNU66
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WNU66
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18


WNU66
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WNU66
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1
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WNU66
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3.17E−02
9
19
WNU66
0.792
1.10E−02
12
43


WNU67
0.756
8.20E−02
8
11
WNU67
0.860
2.80E−02
8
45


WNU67
0.865
2.61E−02
8
35
WNU67
0.802
5.47E−02
8
7


WNU67
0.785
6.43E−02
8
42
WNU67
0.797
1.00E−02
4
13


WNU67
0.837
3.76E−02
4
37
WNU67
0.737
5.87E−02
4
63


WNU67
0.712
3.15E−02
4
14
WNU67
0.750
5.24E−02
4
50


WNU67
0.853
1.69E−03
3
29
WNU67
0.860
1.43E−03
3
33


WNU67
0.707
2.23E−02
3
32
WNU67
0.705
3.39E−02
2
46


WNU67
0.712
7.24E−02
2
48
WNU67
0.861
1.28E−02
2
62


WNU67
0.807
8.59E−03
2
45
WNU67
0.948
1.17E−03
2
54


WNU67
0.840
1.80E−02
5
51
WNU67
0.716
1.99E−02
1
40


WNU67
0.757
1.81E−02
1
54
WNU67
0.720
2.86E−02
9
11


WNU67
0.749
2.02E−02
9
40
WNU67
0.704
3.41E−02
9
34


WNU68
0.784
6.48E−02
8
13
WNU68
0.716
1.10E−01
8
58


WNU68
0.815
4.84E−02
8
5
WNU68
0.902
8.73E−04
4
55


WNU68
0.839
4.74E−03
4
58
WNU68
0.795
1.04E−02
4
48


WNU68
0.911
6.40E−04
4
57
WNU68
0.869
2.36E−03
4
26


WNU68
0.898
6.02E−03
4
19
WNU68
0.898
1.01E−03
4
62


WNU68
0.856
3.21E−03
4
56
WNU68
0.858
3.05E−03
4
59


WNU68
0.756
1.85E−02
2
55
WNU68
0.758
4.85E−02
2
48


WNU68
0.803
9.16E−03
2
57
WNU68
0.823
6.48E−03
2
26


WNU68
0.929
2.52E−03
2
19
WNU68
0.864
1.22E−02
2
62


WNU68
0.804
9.06E−03
2
56
WNU68
0.737
3.71E−02
2
59


WNU68
0.767
4.40E−02
5
19
WNU68
0.742
5.63E−02
5
18


WNU68
0.835
9.92E−03
11
1
WNU68
0.807
4.77E−03
11
55


WNU68
0.751
1.23E−02
11
58
WNU68
0.819
3.77E−03
11
57


WNU68
0.728
1.69E−02
11
26
WNU68
0.851
1.81E−03
11
56


WNU68
0.917
5.04E−04
11
59
WNU68
0.920
1.65E−04
1
55


WNU68
0.838
2.45E−03
1
58
WNU68
0.893
5.06E−04
1
57


WNU68
0.863
1.32E−03
1
26
WNU68
0.824
6.36E−03
1
19


WNU68
0.961
1.47E−04
1
62
WNU68
0.941
4.80E−05
1
56


WNU68
0.890
1.31E−03
1
59
WNU68
0.795
3.27E−02
9
49


WNU68
0.809
2.75E−02
9
20
WNU68
0.862
1.26E−02
9
61


WNU68
0.716
7.01E−02
9
21
WNU68
0.728
2.63E−02
9
26


WNU68
0.853
1.46E−02
9
19
WNU68
0.796
3.24E−02
9
17


WNU68
0.790
1.96E−02
9
62
WNU68
0.873
1.02E−02
9
53


WNU68
0.867
1.16E−02
9
18
WNU68
0.727
4.09E−02
12
22


WNU69
0.774
7.07E−02
8
41
WNU69
0.893
1.18E−03
3
54


WNU69
0.737
1.50E−02
3
56
WNU69
0.783
1.26E−02
2
55


WNU69
0.737
2.34E−02
2
58
WNU69
0.804
2.94E−02
2
48


WNU69
0.734
2.43E−02
2
57
WNU69
0.814
7.63E−03
2
26


WNU69
0.839
1.83E−02
2
19
WNU69
0.919
3.40E−03
2
62


WNU69
0.747
2.07E−02
2
56
WNU69
0.751
3.18E−02
11
1


WNU69
0.811
4.38E−03
11
55
WNU69
0.745
1.35E−02
11
58


WNU69
0.757
1.12E−02
11
57
WNU69
0.809
4.55E−03
11
26


WNU69
0.756
1.15E−02
11
56
WNU69
0.760
1.75E−02
11
59


WNU69
0.772
2.48E−02
1
1
WNU69
0.795
5.94E−03
1
55


WNU69
0.887
6.24E−04
1
58
WNU69
0.719
1.91E−02
1
57


WNU69
0.736
1.52E−02
1
26
WNU69
0.702
7.89E−02
9
17


WNU70
0.830
4.08E−02
8
41
WNU70
0.797
1.01E−02
4
32


WNU70
0.757
1.83E−02
4
9
WNU70
0.760
2.85E−02
3
1


WNU70
0.752
1.95E−02
3
19
WNU70
0.780
2.24E−02
3
62


WNU70
0.739
2.29E−02
3
59
WNU70
0.724
2.73E−02
2
30


WNU70
0.742
5.64E−02
2
19
WNU70
0.880
8.89E−03
2
62


WNU70
0.766
4.45E−02
2
54
WNU70
0.806
8.65E−03
2
34


WNU70
0.761
4.71E−02
5
19
WNU70
0.784
7.27E−03
11
30


WNU70
0.705
2.29E−02
11
32
WNU70
0.728
1.70E−02
11
41


WNU70
0.771
1.50E−02
1
22
WNU70
0.938
5.69E−04
1
4


WNU70
0.788
2.01E−02
9
25
WNU70
0.744
2.17E−02
12
60


WNU71
0.701
2.38E−02
3
42
WNU71
0.877
9.56E−03
2
62


WNU71
0.895
6.54E−03
2
54
WNU71
0.752
1.95E−02
5
6


WNU71
0.899
5.91E−03
5
49
WNU71
0.924
2.97E−03
5
20


WNU71
0.875
9.93E−03
5
52
WNU71
0.744
2.14E−02
5
2


WNU71
0.940
1.62E−03
5
61
WNU71
0.712
3.15E−02
5
8


WNU71
0.841
4.52E−03
5
10
WNU71
0.744
2.14E−02
5
23


WNU71
0.948
1.14E−03
5
21
WNU71
0.703
3.45E−02
5
5


WNU71
0.951
9.94E−04
5
63
WNU71
0.899
2.36E−03
5
47


WNU71
0.939
1.70E−03
5
50
WNU71
0.958
6.84E−04
5
17


WNU71
0.907
1.88E−03
5
25
WNU71
0.786
3.59E−02
5
53


WNU71
0.745
2.14E−02
5
59
WNU71
0.887
7.78E−03
5
18


WNU71
0.705
2.27E−02
1
58
WNU71
0.735
1.55E−02
1
26


WNU72
0.711
3.16E−02
4
55
WNU72
0.748
2.04E−02
4
57


WNU72
0.715
3.02E−02
4
26
WNU72
0.803
9.13E−03
4
40


WNU72
0.793
1.08E−02
4
62
WNU72
0.738
5.84E−02
4
54


WNU72
0.872
2.19E−03
4
56
WNU72
0.761
1.73E−02
4
59


WNU72
0.792
6.27E−03
3
46
WNU72
0.749
1.27E−02
3
29


WNU72
0.850
1.82E−03
3
55
WNU72
0.720
1.89E−02
3
58


WNU72
0.761
1.06E−02
3
33
WNU72
0.826
3.24E−03
3
7


WNU72
0.712
3.14E−02
3
22
WNU72
0.758
1.12E−02
3
57


WNU72
0.724
1.79E−02
3
26
WNU72
0.799
9.74E−03
3
19


WNU72
0.802
1.66E−02
3
62
WNU72
0.732
1.61E−02
3
45


WNU72
0.731
1.63E−02
3
56
WNU72
0.843
4.31E−03
2
55


WNU72
0.847
3.98E−03
2
58
WNU72
0.853
1.46E−02
2
48


WNU72
0.777
1.38E−02
2
57
WNU72
0.823
6.37E−03
2
26


WNU72
0.732
6.16E−02
2
19
WNU72
0.834
1.96E−02
2
62


WNU72
0.727
2.64E−02
2
56
WNU72
0.730
3.98E−02
2
59


WNU72
0.881
8.76E−03
5
22
WNU72
0.707
4.97E−02
5
48


WNU72
0.810
4.52E−03
11
30
WNU72
0.731
3.95E−02
11
19


WNU72
0.745
3.39E−02
1
24
WNU72
0.845
4.09E−03
1
22


WNU72
0.729
4.03E−02
1
60
WNU72
0.741
2.22E−02
1
54


WNU72
0.701
5.27E−02
9
48
WNU72
0.749
1.27E−02
12
46


WNU72
0.778
8.00E−03
12
11
WNU72
0.715
2.00E−02
12
7


WNU72
0.786
6.97E−03
12
45
WNU73
0.703
3.47E−02
5
46


WNU73
0.725
4.19E−02
5
43
WNU73
0.749
2.01E−02
5
14


WNU73
0.729
1.68E−02
11
29
WNU73
0.713
2.05E−02
11
33


WNU73
0.743
1.38E−02
11
32
WNU73
0.708
2.20E−02
1
29


WNU73
0.709
2.17E−02
1
40
WNU73
0.829
5.70E−03
9
46


WNU73
0.896
2.57E−03
9
43
WNU73
0.753
1.92E−02
9
7


WNU73
0.715
3.03E−02
9
14
WNU73
0.759
1.77E−02
9
45


WNU73
0.746
2.10E−02
12
43
WNU74
0.744
5.51E−02
4
22


WNU74
0.776
1.40E−02
4
40
WNU74
0.727
1.72E−02
3
34


WNU74
0.713
3.09E−02
2
11
WNU74
0.776
1.39E−02
2
55


WNU74
0.837
1.89E−02
2
48
WNU74
0.716
2.99E−02
2
26


WNU74
0.810
2.73E−02
2
19
WNU74
0.730
6.25E−02
2
62


WNU74
0.723
2.78E−02
2
45
WNU74
0.782
3.77E−02
2
54


WNU74
0.711
7.33E−02
5
54
WNU74
0.807
8.63E−03
9
40


WNU74
0.763
1.03E−02
12
29
WNU74
0.766
9.79E−03
12
33


WNU74
0.825
6.23E−03
12
43
WNU74
0.744
1.35E−02
12
40





Table 63. “Corr. ID”—correlation set ID according to the correlated parameters Table 58 above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 13
Production of Wheat Transcriptome and High Throughput Correlation Analysis Using 60K Wheat Oligonucleotide Micro-Array
In order to produce a high throughput correlation analysis comparing between plant phenotype and gene expression level, the present inventors utilized a Wheat oligonucleotide micro-array, produced by Agilent Technologies [chem. (dot) agilent (dot) com/Scripts/PDS (dot) asp?1Page=50879]. The array oligonucleotide represents about 60K Wheat genes and transcripts. In order to define correlations between the levels of RNA expression and yield or vigor related parameters, various plant characteristics of 14 different Wheat accessions were analyzed. Among them, 10 accessions encompassing the observed variance were selected for RNA expression analysis. The correlation between the RNA levels and the characterized parameters was analyzed using Pearson correlation test [davidmlane (dot) com/hyperstat/A34739 (dot) html].
Experimental Procedures
14 Wheat accessions in 5 repetitive blocks, each containing 8 plants per pot were grown at net house. Three different treatments were applied: plants were regularly fertilized and watered during plant growth until harvesting (as recommended for commercial growth, plants were irrigated 2-3 times a week, and fertilization was given in the first 1.5 months of the growth period) or under low Nitrogen (70% percent less Nitrogen) or under drought stress (cycles of drought and re-irrigating were conducted throughout the whole experiment, overall 40% less water were given in the drought treatment).
Analyzed Wheat tissues—Five tissues at different developmental stages [leaf, stem, root tip and adventitious root, flower], representing different plant characteristics, were sampled and RNA was extracted as described above. Each micro-array expression information tissue type has received a Set ID as summarized in Table 64 below.







TABLE 64







Wheat transcriptome expression sets under normal conditions








Expression Set
Set ID





adv root : Normal: first tillering:
1


basal lemma: Normal: grain filling:
2


basal spike: Normal: flowering:
3


basal spike: Normal: grain filling:
4


leaf: Normal: flowering:
5


leaf: Normal: grain filling:
6


root tip: Normal: first tillering: 
7


stem: Normal: flowering:
8


stem: Normal: grain filling:
9





Table 64. Provided are the wheat transcriptome expression sets under normal conditions.













TABLE 65







Wheat transcriptome expression sets under low N conditions










Expression Set
Set ID







adv root: Low N: first tillering
1



basal spike: Low N: flowering
2



basal spike: Low N: grain filling
3



leaf: Low N: flowering
4



leaf: Low N:grain filling
5



root tip: Low N: first tillering
6



wheat/evogene exp848 Low N/stem: Low N: flowering
7



wheat/evogene exp848 Low N/stem: Low N: grain filling
8







Table 65. Provided are the wheat transcriptome expression sets under low N conditions.













TABLE 66







Wheat transcriptome expression sets low N vs. normal conditions










Expression Set
Set ID







Low N vs. normal/adv root: Low N: first tillering
1



Low N vs. normal/basal spike: Low N: flowering
2



Low N vs. normal/basal spike :Low N: grain filling
3



Low N vs. normal/leaf: Low N: flowering
4



Low N vs. normal/leaf: Low N: grain filling
5



Low N vs. normal/root tip: Low N: first tillering
6



Low N vs. normal/stem: Low N: flowering
7



Low N vs. normal/stem: Low N: grain filling
8







Table 66. Provided are the wheat transcriptome expression sets at low N versus (vs.) normal conditions.






Wheat yield components and vigor related parameters assessment—Plants were phenotyped on a daily basis following the parameters listed in Tables 67-68 below. Harvest was conducted while all the spikes were dry. All material was oven dried and the seeds were threshed manually from the spikes prior to measurement of the seed characteristics (weight and size) using scanning and image analysis. The image analysis system included a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.37 (Java based image processing program, which was developed at the U.S. National Institutes of Health and freely available on the internet [rsbweb (dot) nih (dot) gov/]. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Grain yield (gr.)—At the end of the experiment all spikes of the pots were collected. The total grains from all spikes that were manually threshed were weighted. The grain yield was calculated by per plot or per plant.
Spike length and width analysis—At the end of the experiment the length and width of five chosen spikes per plant were measured using measuring tape excluding the awns.
Spike number analysis—The spikes per plant were counted.
Plant height—Each of the plants was measured for its height using measuring tape. Height was measured from ground level to top of the longest spike excluding awns at two time points at the Vegetative growth (30 days after sowing) and at harvest.
Spike weight—The biomass and spikes weight of each plot was separated, measured and divided by the number of plants.
Dry weight—total weight of the vegetative portion above ground (excluding roots) after drying at 70° C. in oven for 48 hours at two time points at the Vegetative growth (30 days after sowing) and at harvest.
Spikelet per spike—number of spikelets per spike was counted.
Root/Shoot Ratio—The Root/Shoot Ratio is calculated using Formula XXII described above.
Total No. of tillers—all tillers were counted per plot at two time points at the Vegetative growth (30 days after sowing) and at harvest.
Node number—number of nodes in the main stem.
Percent of reproductive tillers—the number of reproductive tillers barring a spike at harvest was divided by the total numbers of tillers.
SPAD—Chlorophyll content was determined using a Minolta SPAD 502 chlorophyll meter and measurement was performed at time of flowering. SPAD meter readings were done on young fully developed leaf. Three measurements per leaf were taken per plot.
Root FW (gr.), root length (cm) and No. of lateral roots—3 plants per plot were selected for measurement of root weight, root length and for counting the number of lateral roots formed.
Shoot FW (fresh weight)—weight of 3 plants per plot were recorded at different time-points.
Average Grain Area (cm2)—At the end of the growing period the grains were separated from the spike. A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The grain area was measured from those images and was divided by the number of grains.
Average Grain Length and width (cm)—At the end of the growing period the grains were separated from the spike. A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain lengths or width (longest axis) was measured from those images and was divided by the number of grains.
Average Grain perimeter (cm)—At the end of the growing period the grains were separated from the spike. A sample of  ̃200 grains was weighted, photographed and images were processed using the below described image processing system. The sum of grain perimeter was measured from those images and was divided by the number of grains.
Heading date—the day in which booting stage was observed was recorded and number of days from sowing to heading was calculated.
Relative water content—Fresh weight (FW) of three leaves from three plants each from different seed ID was immediately recorded; then leaves were soaked for 8 hours in distilled water at room temperature in the dark, and the turgid weight (TW) was recorded. Total dry weight (DW) was recorded after drying the leaves at 60° C. to a constant weight. Relative water content (RWC) is calculated according to Formula I above.

Tiller abortion rate (hd to F)—difference between tiller number at heading and tillet number at flowering divided by tiller number at heading.

Tiller abortion rate—difference between tiller number at harvest and tillet number at flowering divided by tiller number at flowering.

Grain N (H)—% N content of dry matter in the grain at harvest.

Head N (GF)—% N content of dry matter in the head at grainfilling.

Total shoot N—calculated as the % N content multiplied by the weight of plant shoot.

Total grain N—calculated as the % N content multiplied by the weight of plant grain yield.

NUE [kg/kg] (N use efficiency)—is the ratio between total grain yield per total N applied in soil.

NUpE [kg/kg] (N uptake efficiency)—is the ratio between total plant biomass per total N applied in soil.

Grain NUtE (N utilization efficiency)—is the ratio between grain yield per total shoot N
Total NUtE—is the ratio between grain and shoot biomass per total shoot N.
Stem Volume—(lower stem is the lowest internode and upper stem is the internode just below the head)—calculated volume of internode part.
Stem density—is the ratio between internode dry weight and internode volume.
NHI (N harvest index)—is the ratio between total grain N and total plant N(=total shoot N+total grain N).
BPE (Biomass production efficiency)—is the ratio between plant biomass and total shoot N.
Grain Fill duration—the difference between number of days to maturity and number of days to flowering.
Harvest Index (for Wheat)—The harvest index was calculated using Formula XVIII described above.
Growth rate: the growth rate (GR) of Plant Height (Formula III described above), SPAD (Formula IV described above) and number of tillers (Formula V described above) were calculated with the indicated Formulas.
Specific N absorption—N absorbed per root biomass.
Specific root length—root biomass per root length.
Ratio low N/Normal: Represents ratio for the specified parameter of Drought condition results divided by Normal conditions results (maintenance of phenotype under drought in comparison to normal conditions).







TABLE 67







Wheat correlated parameters under normal and low N conditions (vectors)








Correlation set
Correlation ID











1000 grain weight [gr]
1


Avr spike DW (SS) [gr]
2


Avr spike DW (flowering) [gr]
3


Avr spike weight (harvest) [gr]
4


BPE
5


Fertile spikelets ratio
6


Grain area [mm2]
7


Grain fill duration [days]
8


Grains per plant
9


Grains per spike
10


Grains per spikelet
11


Grains weight per plant
12


Grains weight per spike
13


Harvest index
14


Leaf Area [cm2]
15


Leaf Average Width [cm]
16


Leaf Length [cm]
17


Leaf Perimeter [cm]
18


Leaves num at tittering
19


Leaves num flowering
20


N use efficiency
21


NHI
22


Node Num
23


Num days Heading (single)
24


Num days to anthesis
25


NupE
26


Peduncle length [cm]
27


Peduncle thickness [mm]
28


Plant height [cm]
29


RWC
30


Root length [cm]
31


Roots DW [gr]
32


SPAD early-mid grainfilling
33


SPAD flowering
34


SPAD mid-late grainfilling
35


Seminal roots
36


Shoot DW [gr]
37


Shoot/Root
38


Spike Area [cm2]
39


Spike Perimeter [cm]
40


Spike length [cm]
41


Spike width [cm]
42


Spikelets per spike
43


Tiller abortion rate
44


Tittering (Flowering)
45


Tittering (Heading)
46


Tittering (Tittering)
47


Total dry matter [gr]
48


Total Leaf Area [cm2]
49


Vegetative DW (Harvest) [gr]
50


field awns length [cm]
51


grain NUtE
52


grain protein [%]
53


peduncle volume [cm3]
54


specific N absorption [mg/gr] 
55


specific root length [gr/cm]
56


tiller abortion rate (hd to F)
57


total NUtE
58


total grain N
59


total shoot N
60





Table 67. Provided are the wheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; ”Relative water content [percent]; “num” = number.













TABLE 68







Wheat correlated parameters under low N conditions vs. normal (vectors)








Correlation set
Correlation ID











1000 grain weight [gr]
1


BPE
2


Fertile spikelets ratio
3


Grain area [mm2]
4


Grain fill duration [days]
5


Grains per spike
6


Grains per spikelet
7


Grains weight per spike
8


N use efficiency
9


NHI
10


NupE
11


Peduncle thickness [mm]
12


Root length [cm]
13


SPAD early-mid grainfilling
14


SPAD flowering
15


Seminal roots
16


Spikelets per spike
17


Tiller abortion rate
18


grain NUtE
19


grain protein [%]
20


peduncle volume [cm3]
21


specific N absorption [mg/gr] 
22


specific root length [gr/cm]
23


tiller abortion rate (hd to F)
24


total NUtE
25


total grain N [mg]
26


total shoot N [mg]
27





Table 68. Provided are the wheat correlated parameters. “TP” = time point; “DW” = dry weight; “FW” = fresh weight; “Low N” = Low Nitrogen; “RWC” = Relative water content [percent].






Experimental Results
Fourteen different Wheat accessions were grown and characterized for different parameters as described above. Tables 67-68 describe the wheat correlated parameters. The average for each of the measured parameter was calculated using the JMP software and values are summarized in Tables 69-71 below. Subsequent correlation analysis between the various transcriptome sets and the average parameters was conducted (Tables 72-74). Follow, results were integrated to the database.







TABLE 69







Measured parameters of correlation IDs in wheat accessions under normal conditions





















Cor.
















ID/
















Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13
L-14
























1
24.81
19.31
11.63
29.68
9.24
21.05
22.14
15.08
13.61
20.71
33.52
16.66
12.74
13.43


2
1.52
0.84
1.49
2.64
1.23
1.45
0.66
1.59
1.67
1.96
2.89
1.64
0.62
0.42


3
5.67
0.28
0.31
4.28
0.36
0.24
NA
0.27
0.28
0.47
9.11
5.11
NA
NA


4
1.36
0.89
1.41
2.51
1.01
1.57
0.51
1.42
1.48
2.06
2.46
1.16
0.44
0.36


5
0.58
0.36
0.34
0.47
0.37
0.61
NA
0.58
0.27
0.56
0.83
0.76
NA
NA


6
74.09
73.31
81.68
88.72
NA
75.72
NA
83.70
87.05
78.99
86.83
75.82
NA
NA


7
0.20
0.17
0.15
0.18
0.17
0.19
0.14
0.20
0.17
0.18
0.20
0.17
0.11
0.11


8
27.89
31.43
NA
30.02
NA
27.75
NA
32.84
NA
29.20
27.10
26.48
NA
NA


9
94.23
68.65
122.44
123.90
151.23
105.13
16.30
106.83
103.09
141.63
139.23
85.38
13.10
18.57


10
19.69
13.29
22.77
37.16
21.52
19.41
5.98
20.00
23.41
30.03
34.00
18.49
5.07
6.60


11
2.17
1.26
2.19
2.93
NA
1.64
NA
1.83
1.93
2.30
2.80
2.28
NA
NA


12
4.54
2.75
3.76
5.93
4.32
4.86
0.48
5.29
4.11
6.01
6.91
3.59
0.40
2.53


13
0.95
0.53
0.70
1.74
0.59
0.90
0.13
0.96
0.93
1.26
1.69
0.78
0.09
0.77


14
0.48
0.32
0.28
0.49
0.26
0.35
0.05
0.41
0.33
0.42
0.48
0.45
0.03
0.18


15
13.80
19.54
NA
22.46
NA
21.61
NA
25.44
23.31
20.79
16.25
13.46
NA
NA


16
0.86
0.92
NA
1.26
NA
1.05
NA
1.17
1.12
1.19
1.01
0.83
NA
NA


17
19.65
26.79
NA
22.03
NA
25.53
NA
27.80
25.91
21.67
19.98
19.81
NA
NA


18
41.46
53.77
NA
48.92
NA
53.08
NA
58.95
54.29
46.10
42.25
40.93
NA
NA


19
6.60
5.60
6.20
6.60
5.80
5.60
6.40
5.40
5.40
5.20
6.00
6.20
5.00
5.00


20
18.00
13.00
22.50
11.50
20.75
18.50
NA
11.00
23.75
19.00
12.50
18.75
NA
NA


21
0.05
0.03
0.04
0.06
0.04
0.05
0.00
0.05
0.04
0.06
0.07
0.04
NA
NA


22
0.48
0.31
0.24
0.43
0.26
0.45
NA
0.47
0.23
0.40
0.54
0.54
NA
NA


23
4.00
4.43
4.50
4.94
4.27
4.56
NA
4.21
4.57
4.94
4.69
3.94
NA
NA


24
60.22
69.88
85.25
61.78
83.00
65.78
105.00
68.75
74.29
68.75
58.89
57.11
106.25
77.00


25
69.11
73.00
85.25
69.56
86.38
71.25
105.00
71.88
78.00
72.38
67.33
68.67
105.00
NA


26
2.50
2.49
4.26
3.59
4.70
3.33
NA
3.28
4.78
3.51
3.04
1.81
NA
NA


27
27.28
30.39
21.21
31.71
26.15
34.07
NA
29.78
25.44
27.41
28.13
21.53
NA
NA


28
2.61
2.72
3.53
3.31
3.22
3.07
NA
3.06
3.25
3.51
3.02
1.92
NA
NA


29
45.59
63.41
69.33
62.91
68.03
79.43
NA
61.86
62.33
59.18
55.23
44.72
NA
NA


30
76.29
NA
82.03
76.11
NA
67.30
NA
73.33
NA
70.94
80.72
74.88
NA
NA


31
31.10
16.20
28.10
34.06
37.84
26.88
31.98
23.42
36.02
38.88
37.20
33.00
22.38
34.60


32
0.89
0.07
0.20
1.01
0.36
0.50
0.63
0.11
0.16
0.52
1.04
0.54
0.27
0.25


33
37.33
28.34
NA
38.71
NA
46.47
NA
38.62
35.80
45.58
46.95
35.32
NA
NA


34
38.75
31.09
43.30
40.29
45.54
44.93
NA
38.98
36.10
46.43
42.89
34.15
NA
NA


35
35.97
NA
NA
37.21
NA
NA
NA
NA
NA
NA
46.27
35.81
NA
NA


36
11.20
6.00
8.00
11.00
7.80
7.80
10.20
6.00
6.20
8.20
10.80
7.60
6.60
7.80


37
0.64
0.25
0.46
0.56
0.43
0.37
0.58
0.34
0.45
0.46
0.52
0.43
0.33
0.39


38
0.72
3.47
2.30
0.55
1.18
0.74
0.92
3.12
2.76
0.89
0.50
0.78
1.24
1.53


39
9.52
6.27
8.42
11.73
7.03
6.51
8.96
9.88
9.43
10.33
12.38
9.53
7.33
8.14


40
22.34
15.81
22.47
20.86
26.69
20.43
30.39
20.81
20.89
21.34
22.76
18.72
22.74
27.02


41
8.48
6.51
9.54
8.14
10.29
8.51
13.41
8.11
8.25
8.57
9.13
7.46
9.69
11.24


42
1.39
1.18
1.12
1.68
0.83
1.02
0.89
1.50
1.43
1.55
1.64
1.52
1.03
0.92


43
16.24
17.22
19.40
16.93
NA
17.42
NA
16.22
17.25
18.84
19.56
16.93
NA
NA


44
19.58
−10.00
32.58
−2.31
46.10
41.28
NA
−25.88
34.26
27.41 
1.18
25.60
NA
NA


45
6.00
4.75
7.75
3.25
13.13
9.75
NA
4.25
6.75
6.75
4.25
6.25
NA
NA


46
4.00
5.89
7.00
4.24
11.25
6.86
28.0
5.32
5.81
4.57
3.19
3.43
1.80
2.80


47
2.60
1.80
3.40
2.00
3.40
2.40
28.0
2.20
1.60
1.80
1.60
2.00
1.80
2.80


48
75.26
62.94
109.09
94.88
128.46
112.16
72.40
100.76
100.02
116.56
115.89
63.75
71.40
109.78


49
227.54
111.47
NA
176.24
NA
549.02
NA
431.85
231.67
188.34
186.23
269.35
NA
NA


50
23.35
28.68
57.53
30.57
70.98
52.25
61.70
39.99
47.89
44.82
37.47
20.86
63.48
102.17


51
6.46
8.45
6.33
6.56
NA
1.20
NA
8.57
7.47
7.41
6.17
5.30
NA
NA


52
0.04
0.02
0.01
0.03
0.01
0.03
NA
0.03
0.01
0.03
0.05
0.04
NA
NA


53
15.12
15.79
15.61
14.94
16.13
17.49
NA
16.67
15.14
13.42
13.60
15.44
NA
NA


54
1.46
1.76
2.08
2.64
2.13
2.51
NA
2.19
2.11
2.65
2.02
0.62
NA
NA


55
146.26
2391.37
1626.16
201.95
956.25
367.62
NA
1596.15
2272.98
404.96
133.54
154.31
NA
NA


56
0.03
0.00
0.01
0.03
0.01
0.02
0.02
0.00
0.00
0.01
0.03
0.02
NA
NA


57
−50.00
19.42
−10.71
23.31
−16.67
−42.19
NA
20.05
−16.08
−47.66
−33.21
−82.29
NA
NA


58
0.30
0.25
0.26
0.26
0.27
0.34
NA
0.31
0.21
0.33
0.38
0.35
NA
NA


59
120.32
76.17
102.85
155.55
122.14
149.13
0.00
154.79
109.19
141.44
164.82
97.18
NA
NA


60
129.59
172.80
322.79
203.44
347.42
183.50
0.00
173.47
368.56
209.50
139.48
83.97
NA
NA





Table 69. Provided are the values of each of the parameters (as described in Table 67 above) measured in wheat accessions (line; “L”) under normal growth conditions. Growth conditions are specified in the experimental procedure section.


“NA” = not available.


“Cor.”—correlation.













TABLE 70







Measured parameters of correlation IDs in wheat accessions under low N conditions





















Cor.
















ID/
















Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13
L-14
























1
14.16
25.17
14.38
31.87
16.45
17.73
18.58
15.41
9.52
24.18
25.37
13.45
21.45
15.71


2
3.13
2.01
3.00
5.55
1.32
3.31
0.83
2.96
3.21
5.22
5.01
2.98
1.14
0.84


3
0.29
0.33
0.30
0.50
0.23
0.32
NA
0.37
0.34
0.70
0.58
0.27
NA
NA


4
1.36
0.99
1.76
2.66
1.12
1.45
0.79
1.46
1.52
2.60
2.50
1.26
1.09
0.71


5
0.92
0.93
0.74
1.01
0.68
0.89
NA
0.81
0.81
0.54
0.89
0.76
NA
NA


6
71.78
67.63
90.51
86.83
85.63
86.29
90.18
78.66
79.08
80.66
80.58
75.68
83.34
81.51


7
0.18
0.16
0.14
0.17
0.15
0.18
0.12
0.19
0.16
0.17
0.17
0.16
0.13
0.12


8
27.54
31.57
27.11
33.14
22.43
33.75
NA
31.43
31.93
31.14
30.37
27.98
NA
NA


9
78.65
67.44
95.73
71.48
81.53
70.10
23.67
57.70
74.75
83.60
81.60
73.13
67.66
24.52


10
25.30
20.12
39.44
43.83
21.07
24.53
8.38
19.91
24.84
46.51
40.93
22.11
22.96
7.78


11
2.69
1.73
2.94
3.57
1.93
2.45
0.69
1.85
2.29
3.58
3.62
2.26
2.02
0.63


12
3.43
2.50
2.98
3.29
2.54
2.93
1.26
2.77
2.63
3.27
3.41
2.75
1.50
0.92


13
1.06
0.75
1.22
2.02
0.64
0.97
0.40
0.93
0.88
1.82
1.67
0.83
0.51
0.20


14
0.51
0.41
0.38
0.50
0.27
0.38
0.09
0.39
0.33
0.42
0.46
0.45
0.17
0.14


15
15.28
20.23
NA
11.13
NA
15.37
NA
13.37
18.07
14.65
16.78
12.92
NA
NA


16
0.94
1.01
NA
0.80
NA
0.90
NA
0.81
0.98
0.94
0.93
0.92
NA
NA


17
20.01
24.79
NA
16.84
NA
21.17
NA
19.79
22.14
19.60
22.26
18.02
NA
NA


18
43.99
53.54
NA
35.89
NA
43.81
NA
41.85
46.51
45.20
46.58
38.43
NA
NA


19
6.40
6.40
6.80
6.00
6.00
6.20
5.00
5.60
5.40
6.00
6.00
6.00
5.80
5.40


20
NA
NA
NA
NA
6.25
NA
NA
NA
NA
NA
NA
NA
NA
NA


21
0.14
0.10
0.12
0.13
0.10
0.12
0.05
0.11
0.11
0.13
0.14
0.11
NA
NA


22
0.54
0.49
0.42
0.66
0.28
0.56
NA
0.56
0.47
0.45
0.66
0.51
NA
NA


23
4.13
4.08
4.44
4.75
3.94
3.81
NA
3.31
4.25
3.53
4.56
4.56
NA
NA


24
57.56
67.11
76.22
61.33
80.63
65.11
109.00
65.56
70.00
66.44
58.44
53.11
103.56
109.00


25
68.89
73.00
77.89
68.00
82.57
71.25
105.00
71.00
72.57
73.00
67.78
68.44
101.13
105.00


26
5.03
3.92
6.22
6.07
7.61
5.99
0.00
6.24
6.00
8.40
7.49
5.44
NA
NA


27
25.91
39.58
44.70
32.31
20.79
43.84
NA
42.72
37.81
32.50
27.66
24.56
NA
NA


28
2.45
2.85
3.54
3.59
2.88
3.42
NA
3.16
3.23
3.69
3.51
2.44
NA
NA


29
47.48
81.12
85.36
61.31
62.29
94.38
NA
74.44
80.19
64.56
61.81
54.06
NA
NA


30
78.08
75.04
84.41
84.12
NA
82.70
NA
72.54
53.64
84.04
79.53
86.25
NA
NA


31
34.60
33.36
33.10
32.00
38.60
41.90
36.90
32.16
32.90
37.30
36.44
27.40
32.20
33.00


32
0.78
0.63
0.28
1.10
0.48
0.68
0.61
0.65
0.75
1.51
1.05
0.72
0.40
0.60


33
41.11
26.03
NA
38.94
NA
38.05
NA
32.06
31.48
41.45
45.34
35.17
NA
NA


34
40.38
32.17
38.19
42.45
37.49
42.30
NA
38.79
36.31
NA
45.14
34.60
NA
NA


35
33.10
NA
NA
32.57
NA
NA
NA
NA
NA
NA
37.87
29.01
NA
NA


36
11.20
8.00
10.00
96.0
7.00
8.80
8.20
9.20
8.80
11.40
10.40
10.80
7.00
7.40


37
0.45
0.48
0.64
0.51
0.39
0.55
0.48
0.66
0.59
0.61
0.60
0.63
0.43
0.43


38
0.58
0.77
2.24
0.47
0.81
0.81
0.79
1.01
0.80
0.40
0.57
0.87
1.06
0.72


39
8.05
5.90
7.31
11.08
8.29
7.38
9.73
8.21
7.77
10.74
10.17
7.26
7.27
9.72


40
18.48
15.54
19.57
19.84
23.88
20.11
32.44
18.68
18.65
20.31
18.97
16.29
21.77
30.30


41
7.32
6.31
8.17
7.87
10.05
8.70
14.36
7.00
6.99
8.08
7.44
6.43
9.01
13.43


42
1.29
1.10
1.13
1.51
1.03
1.07
0.92
1.40
1.40
1.51
1.57
1.33
1.12
1.05


43
16.20
16.29
17.49
16.44
17.97
16.49
20.62
15.16
17.20
18.53
18.00
17.13
18.38
18.97


44
17.33
36.36
46.11
33.00
51.94
53.20
NA
35.00
52.00
44.62
31.67
16.88
NA
NA


45
3.75
5.50
4.50
2.50
7.75
6.25
NA
4.50
6.25
3.25
3.00
4.00
NA
NA


46
41.4
42.2
4.29
3.00
6.05
5.29
2.40
4.76
3.90
3.65
3.19
4.10
3.20
2.40


47
18.0
2.60
4.20
1.60
3.20
2.80
2.40
3.20
2.40
2.80
2.00
2.00
3.20
2.40


48
52.66
46.55
67.18
52.36
92.33
58.79
89.95
55.21
64.50
62.16
56.55
51.08
84.82
91.80


49
201.42
190.89
NA
182.97
NA
148.36
NA
100.45
237.33
109.86
273.83
230.90
NA
NA


50
19.12
19.55
40.05
17.70
59.04
28.30
74.95
22.35
28.23
24.71
19.81
19.47
63.20
75.93


51
5.77
7.70
6.64
6.17
NA
NA
NA
9.31
7.49
5.63
5.46
4.75
NA
NA


52
0.06
0.05
0.03
0.06
0.02
0.04
NA
0.04
0.03
0.03
0.05
0.04
NA
NA


53
8.60
9.96
9.81
9.58
7.09
9.80
NA
9.46
9.69
9.02
10.20
10.94
NA
NA


54
1.22
2.52
4.39
3.26
1.36
4.02
0.00
3.34
3.09
3.46
2.68
1.14
NA
NA


55
161.96
155.87
547.22
138.06
399.44
219.78
NA
238.94
201.24
139.26
178.14
188.90
NA
NA


56
0.02
0.02
0.01
0.03
0.01
0.02
NA
0.02
0.02
0.04
0.03
0.03
NA
NA


57
9.48
−30.26
−5.00
16.67
−28.15
−18.24
NA
5.50
−60.06
10.96
5.97
2.33
NA
NA


58
0.42
0.47
0.43
0.34
0.48
0.39
NA
0.35
0.43
0.30
0.30
0.38
NA
NA


59
68.42
48.01
64.65
99.72
53.69
83.57
NA
87.82
69.89
95.05
123.62
68.89
NA
NA


60
57.37
50.04
90.78
52.09
136.69
66.27
NA
68.21
80.06
114.89
63.65
67.08
NA
NA





Table 70. Provided are the values of each of the parameters (as described in Table 67 above) measured in Barley accessions (lines; “L”) under low N growth conditions. Growth conditions are specified in the experimental procedure section.


“NA” = not available.


“Cor.”—correlation.













TABLE 71







Additional measured parameters of correlation IDs in wheat accessions under


low N vs. normal conditions





















Cor.
















ID/
















Line
L-1
L-2
L-3
L-4
L-5
L-6
L-7
L-8
L-9
L-10
L-11
L-12
L-13
L-14
























1
0.57
1.30
1.24
1.07
1.78
0.84
0.84
1.02
0.70 
1.17
0.76
0.81
1.68 
1.17


2
1.58
2.55
2.19
2.16
1.83
1.45
NA
1.39
2.97 
0.97
1.07
1.00
NA
NA


3
0.97
0.92
1.11
0.98
NA
1.14
NA
0.94
0.91
1.02
0.93
1.00
NA
NA


4
0.89
0.99
0.90
0.95
0.91
0.95
0.88
0.94 
0.92
0.90
0.87
0.92
1.17 
1.08


5
0.99
1.00
NA
1.10
NA
1.22 
NA
0.96 
NA
1.07
1.12
1.06
NA
NA


6
1.28 
1.51
1.73
1.18
0.98
1.26
1.40
1.00
1.06
1.55
1.20
1.20 
4.52
1.18


7
1.24
1.37 
1.34
1.22
NA
1.49
NA
1.01
1.19
1.55 
1.29
0.99
NA
NA


8
1.12
1.41
1.75
1.16
1.09
1.08
3.03
0.97 
0.95 
1.44
0.99
1.07
5.54
0.26


9
3.03
3.63
3.17
2.22
2.35
2.41
10.62
2.10 
2.56 
2.18 
1.98
3.07
NA
NA


10
1.13
1.60
1.72
1.52
1.08 
1.24
NA
1.19
2.04
1.12
1.22
0.94
NA
NA


11
2.01
1.58
1.46
1.69
1.62
1.80
NA
1.90
1.26
2.39
2.46
3.00
NA
NA


12
0.94
1.05
1.00
1.08
0.89
1.11
NA
1.03
0.99
1.05
1.16
1.27
NA
NA


13
1.11
2.06
1.18
0.94 
1.02 
1.56
1.15
1.37 
0.91
0.96 
0.98
0.83
1.44
0.95


14
1.10
0.92
NA
1.01 
NA
0.82 
NA
0.83 
0.88
0.91
0.97
1.00
NA
NA


15
1.04 
1.03 
0.88
1.05
0.82
0.94 
NA
1.00
1.01 
NA
1.05
1.01
NA
NA


16
1.00
1.33
1.25
0.87
0.90
1.13
0.80
1.53 
1.42 
1.39 
0.96
1.42 
1.06
0.95


17
1.00
0.95
0.90
0.97
NA
0.95
NA
0.93
1.00 
0.98
0.92
1.01 
NA
NA


18
0.89
−3.64
1.42
−14.30
1.13
1.29
NA
−1.35
1.52
1.63
26.92
0.66
NA
NA


19
1.71
3.14
2.82
2.16
1.50
1.67
NA
1.33
2.94
0.99
1.08
0.96
NA
NA


20
0.57 
0.63
0.63
0.64
0.44 
0.56
NA
0.57
0.64 
0.67 
0.75
0.71
NA
NA


21
0.84 
1.43 
2.11
1.24
0.64 
1.60
NA
1.53 
1.46 
1.31 
1.33
1.84
NA
NA


22
1.11
0.07
0.34
0.68
0.42
0.60
NA
0.15
0.09
0.34
1.33
1.22
NA
NA


23
0.79
4.23
1.21
1.16
1.29
0.88
NA
4.38
5.03
3.04
1.03
1.59
NA
NA


24
−0.19
−1.56
0.47
0.71
1.69
0.43
NA
0.27
3.73
−0.23
−0.18
−0.03
NA
NA


25
1.39
1.88
1.69
1.31
1.77
1.16
NA
1.15
2.05
0.89
0.79
1.07
NA
NA


26
0.57
0.63
0.63
0.64
0.44
0.56
NA
0.57
0.64
0.67
0.75
0.71
NA
NA


27
0.44
0.29
0.28
0.26
0.39
0.36
NA
0.39
0.22
0.55
0.46
0.80
NA
NA





Table 71.


Provided are the values of each of the parameters (as described in Table 68 above) measured in wheat accessions (lines; “L”) under low N vs. normal growth conditions. Growth conditions are specified in the experimental procedure section.


“NA” = not available.


“Cor.”—correlation.













TABLE 72







Correlation between the expression level of selected genes of 


some embodiments of the invention in various tissues and 


the phenotypic performance under low nitrogen fertilization


conditions across wheat accessions
















Cor. 




Cor. 



Exp.
Set 



Exp.
Set


P value
set
ID 
Gene Name
R
P value
set
ID





1.50E−02
5
 3
WNU102
0.783 
4.41E−03
8
10


5.20E−02
4
24
WNU102
0.946
4.36E−03
4
29


2.05E−02
4
47
WNU102
0.715
1.10E−01
4
18


2.88E−02
4
25
WNU102
0.782
6.60E−02
4
44


3.19E−02
4
27
WNU102
0.738
2.31E−02
6
33


7.24E−02
3
60
WNU103
0.776 
4.02E−02
3
24


2.88E−03
3
31
WNU103
0.773 
4.17E−02
3
44


1.99E−02
3
40
WNU103
0.787 
3.59E−02
3
41


6.51E−02
3
48
WNU103
0.730 
1.65E−02
7
24


9.67E−03
7
44
WNU103
0.723
1.05E−01
4
30


4.67E−03
1
 2
WNU103
0.735
1.00E−02
1
57


4.41E−03
1
13
WNU103
0.718
1.28E−02
1
 4





Table 72.


“Cor. ID ”—correlation set ID according to the correlated parameters in Table 67 above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.













TABLE 73







Correlation between the expression level of selected genes of some embodiments of the


invention in various tissues and the phenotypic performance under normal 


fertilization conditions across wheat accessions
















Gene


Exp.
Cor.
Gene


Exp.
Cor.


Name
R
P value
set
Set ID
Name
R
P value
set
Set ID



















WNU102
0.801
3.04E−03
3
24
WNU102
0.715
4.64E−02
3
8


WNU102
0.704
3.43E−02
3
18
WNU102
0.742
8.87E−03
3
25


WNU102
0.782
1.29E−02
3
17
WNU102
0.845
2.09E−03
9
43


WNU102
0.913
1.11E−02
5
24
WNU102
0.731
9.87E−02
5
46


WNU102
0.899
1.48E−02
5
25
WNU102
0.802
5.52E−02
5
51


WNU102
0.717
2.96E−02
6
43
WNU103
0.728
1.70E−02
2
47


WNU103
0.796
3.23E−02
7
30
WNU103
0.705
2.27E−02
7
47


WNU103
0.768
9.52E−03
7
40
WNU103
0.735
1.55E−02
7
41


WNU103
0.739
9.33E−03
3
1
WNU103
0.718
1.28E−02
3
32


WNU103
0.782
4.46E−03
3
14
WNU103
0.871
4.76E−04
3
3


WNU103
0.866
5.70E−04
3
52
WNU103
0.747
8.31E−03
3
22


WNU103
0.784
4.26E−03
3
5
WNU103
0.710
1.44E−02
3
58


WNU103
0.733
1.58E−02
1
14
WNU103
0.735
1.54E−02
1
39


WNU103
0.752
1.20E−02
1
2
WNU103
0.778
1.35E−02
1
11


WNU103
0.784
7.24E−03
1
13
WNU103
0.707
2.22E−02
1
4


WNU103
0.783
7.41E−03
4
24
WNU103
0.797
5.77E−03
4
25


WNU103
0.753
1.20E−02
9
19
WNU103
0.784
6.50E−02
5
1


WNU103
0.796
5.81E−02
5
32
WNU103
0.796
5.80E−02
5
6


WNU103
0.820
4.57E−02
5
56
WNU103
0.705
1.17E−01
5
2


WNU103
0.789
6.18E−02
5
36
WNU103
0.737
9.45E−02
5
11


WNU103
0.765
7.63E−02
5
13
WNU103
0.723
1.04E−01
5
19


WNU103
0.703
1.19E−01
5
10
WNU103
0.744
8.64E−03
8
1


WNU103
0.730
1.07E−02
8
32
WNU103
0.768
5.73E−03
8
14


WNU103
0.798
3.21E−03
8
56
WNU103
0.702
1.60E−02
8
3


WNU103
0.781
4.53E−03
8
52
WNU103
0.850
9.09E−04
8
22


WNU103
0.717
1.30E−02
8
5










Table 73.


“Cor. ID ”—correlation set ID according to the correlated parameters in Table 67 above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.













TABLE 74







Correlation between the expression level of selected genes of some embodiments of the 


invention in various tissues and the phenotypic performance under low N vs. normal


fertilization conditions across wheat accessions




















Cor.




Cor.


Gene


Exp.
Set
Gene


Exp.
Set


Name
R
P value
set
ID
Name
R
P value
set
ID



















WNU102
0.702
2.35E−02
2
7
WNU102
0.821
2.36E−02 
3
11


WNU102
0.894
6.64E−03 
3
27
WNU102
0.798
3.15E−02 
3
12


WNU102
0.724
1.17E−02
8
8
WNU102
0.733
1.02E−02
8
6


WNU102
0.892
1.68E−02 
4
1
WNU102
0.964
1.93E−03
4
23


WNU102
0.778
6.86E−02
4
8
WNU102
0.811
5.01E−02 
4
6


WNU102
0.701
1.62E−02
6
11
WNU102
0.920
5.92E−05
6
22


WNU102
0.704
3.43E−02
6
14
WNU103
0.782
6.61E−02 
3
7


WNU103
0.745
1.34E−02
7
10
WNU103
0.726
1.74E−02 
7
2


WNU103
0.709
2.16E−02
7
25
WNU103
0.759
7.99E−02 
4
11


WNU103
0.834
3.88E−02
4
27
WNU103
0.790
6.15E−02 
4
12


WNU103
0.802
5.49E−02
4
21










Table 74.


“Cor. ID ”—correlation set ID according to the correlated parameters in Table 67 above.


“Exp. Set”—Expression set.


“R” = Pearson correlation coefficient;


“P” = p value.






Example 14
Gene Cloning and Generation of Binary Vectors for Plant Expression
To validate their role in improving yield, selected genes were over-expressed in plants, as follows.
Cloning Strategy
Selected genes from those presented in Examples 1-13 hereinabove were cloned into binary vectors for the generation of transgenic plants. For cloning, the full-length open reading frames (ORFs) were identified. EST clusters and in some cases mRNA sequences were analyzed to identify the entire open reading frame by comparing the results of several translation algorithms to known proteins from other plant species.
In order to clone the full-length cDNAs, reverse transcription (RT) followed by polymerase chain reaction (PCR; RT-PCR) was performed on total RNA extracted from leaves, roots or other plant tissues, growing under normal/limiting or stress conditions. Total RNA extraction, production of cDNA and PCR amplification was performed using standard protocols described elsewhere (Sambrook J., E. F. Fritsch, and T. Maniatis. 1989. Molecular Cloning. A Laboratory Manual, 2nd Ed. Cold Spring Harbor Laboratory Press, New York.) which are well known to those skilled in the art. PCR products were purified using PCR purification kit (Qiagen).
Usually, 2 sets of primers were prepared for the amplification of each gene, via nested PCR (if required). Both sets of primers were used for amplification on a cDNA. In case no product was obtained, a nested PCR reaction was performed. Nested PCR was performed by amplification of the gene using external primers and then using the produced PCR product as a template for a second PCR reaction, where the internal set of primers were used. Alternatively, one or two of the internal primers were used for gene amplification, both in the first and the second PCR reactions (meaning only 2-3 primers are designed for a gene). To facilitate further cloning of the cDNAs, an 8-12 base pairs (bp) extension was added to the 5′ of each internal primer. The primer extension includes an endonuclease restriction site. The restriction sites were selected using two parameters: (a) the restriction site does not exist in the cDNA sequence; and (b) the restriction sites in the forward and reverse primers were designed such that the digested cDNA was inserted in the sense direction into the binary vector utilized for transformation.
PCR products were digested with the restriction endonucleases (New England BioLabs Inc) according to the sites designed in the primers. Each digested/undigested PCR product was inserted into a high copy vector pUC19 (New England BioLabs Inc], or into plasmids originating from this vector. In some cases the undigested PCR product was inserted into pCR-Blunt II-TOPO (Invitrogen) or into pJET1.2 (CloneJET PCR Cloning Kit, Thermo Scientific) or directly into the binary vector. The digested/undigested products and the linearized plasmid vector were ligated using T4 DNA ligase enzyme (Roche, Switzerland or other manufacturers). In cases where pCR-Blunt II-TOPO is used no T4 ligase is needed.
Sequencing of the inserted genes was performed, using the ABI 377 sequencer (Applied Biosystems). In some cases, after confirming the sequences of the cloned genes, the cloned cDNA was introduced into a modified pGI binary vector containing the At6669 promoter (e.g., pQFNc) and the NOS terminator (SEQ ID NO: 6929) via digestion with appropriate restriction endonucleases.
In case of Brachypodium transformation, after confirming the sequences of the cloned genes, the cloned cDNAs were introduced into pEBbVNi (FIG. 9A) containing 35S promoter (SEQ ID NO: 6930) and the NOS terminator (SEQ ID NO:6929) via digestion with appropriate restriction endonucleases. The genes were cloned downstream to the 35S promoter and upstream to the NOS terminator.
Several DNA sequences of the selected genes were synthesized by GeneArt (Life Technologies, Grand Island, N.Y., USA). Synthetic DNA was designed in silico. Suitable restriction enzymes sites were added to the cloned sequences at the 5′ end and at the 3′ end to enable later cloning into the desired binary vector.
Binary vectors—The pPI plasmid vector was constructed by inserting a synthetic poly-(A) signal sequence, originating from pGL3 basic plasmid vector (Promega, GenBank Accession No. U47295; nucleotides 4658-4811) into the HindIII restriction site of the binary vector pBI101.3 (Clontech, GenBank Accession No. U12640). pGI is similar to pPI, but the original gene in the backbone is GUS-Intron and not GUS.
The modified pGI vector (e.g., pQFN, pQFNc, pQYN_6669, pQNa_RP, pQFYN or pQXNc) is a modified version of the pGI vector in which the cassette is inverted between the left and right borders so the gene and its corresponding promoter are close to the right border and the NPTII gene is close to the left border.
At6669, the new Arabidopsis thaliana promoter sequence (SEQ ID NO:6918) was inserted in the modified pGI binary vector, upstream to the cloned genes, followed by DNA ligation and binary plasmid extraction from positive E. coli colonies, as described above. Colonies were analyzed by PCR using the primers covering the insert which were designed to span the introduced promoter and gene. Positive plasmids were identified, isolated and sequenced.
pEBbVNi (FIG. 9A) is a modified version of pJJ2LB in which the Hygromycin resistance gene was replaced with the BAR gene which confers resistance to the BASTA herbicide [BAR gene coding sequence is provided in GenBank Accession No. JQ293091.1 (SEQ ID NO:7121); further description is provided in Akama K, et al. “Efficient Agrobacterium-mediated transformation of Arabidopsis thaliana using the bar gene as selectable marker”, Plant Cell Rep. 1995, 14(7):450-4; Christiansen P, et al. “A rapid and efficient transformation protocol for the grass Brachypodium distachyon”, Plant Cell Rep. 2005 March; 23(10-11):751-8. Epub 2004 Oct. 19; and P{hacek over (a)}curar D I, et al. “A high-throughput Agrobacterium-mediated transformation system for the grass model species Brachypodium distachyon L”, Transgenic Res. 2008 17(5):965-75; each of which is fully incorporated herein by reference in its entirety]. The pEBbVNi construct contains the 35S promoter (SEQ ID NO:6930). pJJ2LB is a modified version of pCambia0305.2 (Cambia).
In case genomic DNA was cloned, the genes were amplified by direct PCR on genomic DNA extracted from leaf tissue using the DNAeasy kit (Qiagen Cat. No. 69104).
Selected genes cloned by the present inventors are provided in Table 75 below.







TABLE 75







Genes cloned in High copy number plasmids or in binary vectors and the primers used for cloning of the genes
















Polyn. 
Polyp. 


Gene


SEQ ID NOs of the
SEQ
SEQ


Name
High copy plasmid
Organism
primers employed
ID NO:
ID NO:















WNU1
pMA-RQ_WNU1_GA


112
202


WNU2
pUC19c_WNU2
SORGHUM Sorghum bicolor
7030, 6949, 7030, 6949
113
203


WNU3
pUC19c_WNU3
SORGHUM Sorghum bicolor
7062, 6989, 7062, 6989
114
204


WNU5
pQFNc_WNU5
ARABIDOPSIS Arabidopsis thalia

115
205


WNU6
pQFNc_WNU6
ARABIDOPSIS Arabidopsis thalia
7089, 7011, 7085, 6953
116
206


WNU7
pMA-RQ_WNU7_GA


117
207


WNU8
pUC19c_WNU8
BARLEY Hordeum vulgare L.
7058, 6961, 7058, 7002
118
208


WNU9
pMA-RQ_WNU9_GA


119
209


WNU11
pQFNc_WNU11
BARLEY Hordeum vulgare L.
7069, 7103, 7087, 7101
120
211


WNU12
pUC19_WNU12
BARLEY Hordeum vulgare L.
7016, 7113, 7016, 7113
121
305


WNU13
pQFNc_WNU13
BARLEY Hordeum vulgare L.
7086, 7115, 7045, 7118
122
213


WNU14
pUC19c_WNU14
BARLEY Hordeum vulgare L.
7041, 6991, 7077, 6959
123
306


WNU15
pMA-RQ_WNU15_GA


124
215


WNU16
pUC19c_WNU16
BARLEY Hordeum vulgare L.
7060, 6984, 7060, 6984
125
216


WNU17
pMA-T_WNU17_GA


126
217


WNU18
pMA-T_WNU18_GA


127
218


WNU19
pUC19c_WNU19
BARLEY Hordeum vulgare L.
7043, 6951, 7043, 6980
128
219


WNU20
pMA-T_WNU20_GA


129
220


WNU21
pQFNc_WNU21
BARLEY Hordeum vulgare L.
7024, 7012, 7068, 6954
130
307


WNU23
pMA-RQ_WNU23_GA


131
223


WNU25
pUC19c_WNU25
BARLEY Hordeum vulgare L.
7056, 7107, 7056, 7107
132
224


WNU26
pMA-RQ_WNU26_GA


133
225


WNU27
pUC19c_WNU27
BARLEY Hordeum vulgare L.
6995, 6936, 6992, 6934
134
308


WNU28
pQFNc_WNU28
BARLEY Hordeum vulgare L.
7067, 6983, 7067, 6983
135
309


WNU29
pUC19g_WNU29
BARLEY Hordeum vulgare L.

136
228


WNU30
pMA-RQ_WNU30_GA


137
229


WNU31
pQFNc_WNU31
BARLEY Hordeum vulgare L.
7033, 6975, 7033, 6975 
138
230


WNU32
pMA-RQ_WNU32_GA


139
231


WNU33
pMA-T_WNU33_GA


140
232


WNU34
pUC19c_WNU34
BARLEY Hordeum vulgare L.
7049, 6969, 7049, 6969 
141
310


WNU35
pQFNc_WNU35
BARLEY Hordeum vulgare L.
7052, 6933, 7052, 6933 
142
234


WNU37
pUC19c_WNU37
BARLEY Hordeum vulgare L.

143
311


WNU38
pUC19c_WNU38
BARLEY Hordeum vulgare L.
7054, 6967, 7054, 6967 
144
237


WNU39
pUC19c_WNU39
BARLEY Hordeum vulgare L.
7050, 7007, 7048, 6960 
145
238


WNU40
pMA-RQ_WNU40_GA


146
239


WNU41
pQFNc_WNU41
BARLEY Hordeum vulgare L.
7039, 7110, 7078, 7111 
147
312


WNU42
pUC19c_WNU42
BARLEY Hordeum vulgare L.
6932, 6931, 6939, 7104 
148
241


WNU43
pMA-RQ_WNU43_GA


149
242


WNU44
pUC19c_WNU44
BARLEY Hordeum vulgare L.
7055, 6965, 7088, 6981 
150
243


WNU45
TopoB_WNU45
BRACHYPODIUM
7064, 7109, 7071, 7108
151
244




Brachypodiums dis





WNU46
pMA-RQ_WNU46_GA


152
245


WNU47
pUC19c_WNU47
BRACHYPODIUM
7091, 6947, 7091, 6947 
153
246




Brachypodiums dis





WNU49
pQFNc_WNU49
BRACHYPODIUM
7090, 6957, 7090, 6957 
154
247




Brachypodiums dis





WNU50
pQFNc_WNU50
BRACHYPODIUM
7036, 7116, 7057, 7099 
155
313




Brachypodiums dis





WNU51
pQFNc_WNU51
BRACHYPODIUM
7059, 7112, 7059, 7112
156
314




Brachypodiums dis





WNU52
pMA-T_WNU52_GA


157
250


WNU54
pUC19c_WNU54
FOXTAIL Setaria italica
7081, 6978, 7081, 6978 
158
252


WNU55
pQFNc_WNU55
FOXTAIL Setaria italica
7051, 6986, 7075, 6998 
159
253


WNU56
pQFNc_WNU56
FOXTAILSetaria italica

160
254


WNU57
pUC19c_WNU57
FOXTAIL Setaria italica
7076, 7005, 7076, 7005 
161
255


WNU58
pQFNc_WNU58
FOXTAIL Setaria italica
7047, 6966, 7047, 6966 
162
256


WNU60
pQFNc_WNU60
FOXTAIL Setaria italica
6945, 7117, 6941, 7093
163
257


WNU61
pQFNc_WNU61
FOXTAIL Setaria italica
6944, 7120, 6946, 7119 
164
315


WNU63
pQFNc_WNU63
FOXTAIL Setaria italica
7046, 6970, 7046, 6970 
165
316


WNU65
pQFNc_WNU65
FOXTAIL Setaria italica
7032, 7004, 7031, 6962 
166
260


WNU66
TopoB_WNU66
FOXTAIL Setaria italica
7040, 7013, 7040, 7013 
167
261


WNU67
pQFNc_WNU67
FOXTAIL Setaria italica
6940, 6997, 6943, 6958 
168
262


WNU68
pQFNc_WNU68
FOXTAIL Setaria italica
7025, 6974, 7025, 6955 
169
263


WNU69
pMA_WNU69_GA


170
264


WNU70
pUC19c_WNU70
FOXTAIL Setaria italica
7035, 6948, 7035, 6948 
171
265


WNU71
pUC19c_WNU71
FOXTAIL Setaria italica
7063, 6950, 7063, 6950 
172
266


WNU72
pUC19c_WNU72
FOXTAIL Setaria italica
7070, 7095, 7083, 7097
173
267


WNU73
pUC19c_WNU73
FOXTAIL Setaria italica
7082, 6935, 7082, 6935 
174
268


WNU74
pUC19c_WNU74
FOXTAIL Setaria italica
7084, 7015, 7084, 7015 
175
317


WNU75
pUC19c_WNU75
MAIZE Zea mays L.
7028, 6996, 7029, 6999 
176
270


WNU76
pUC19g_WNU76
MAIZE Zea mays L.
7023, 7102, 7023, 7102 
177
318


WNU77
pQFNc_WNU77
MAIZE Zea mays L.
7037, 7100, 7037, 7100 
178
272


WNU78
pUC19g_WNU78
MAIZE Zea mays L.
7021, 6993, 7019, 7001 
179
319


WNU80
pQFNc_WNU80
MAIZE Zea mays L.

180
320


WNU81
pUC19c_WNU81
MAIZE Zea mays L.
7065, 7094, 7065, 7094 
181
321


WNU82
pQFNc_WNU82
MAIZE Zea mays L.
7026, 6987, 7053, 6963 
182
322


WNU83
pQFNc_WNU83
MAIZE Zea mays L.
7066, 7006, 7066, 7006 
183
323


WNU85
pQFNc_WNU85
RICE Oryza sativa L.
6977, 6937, 6977, 6937 
184
324


WNU87
pUC19c_WNU87
RICE Oryza sativa L.

185
279


WNU90
pMA_WNU90_GA


186
280


WNU91
pQFNc_WNU91
SORGHUM Sorghum bicolor
7020, 6985, 7022, 6979 
187
281


WNU92
pUC19c_WNU92
SORGHUM Sorghum bicolor
7027, 6972, 7073, 6956 
188
282


WNU93
pMA-RQ_WNU93_GA


189
283


WNU94
pUC19_WNU94
SORGHUM Sorghum bicolor
7034, 6990, 7034, 6990 
190
284


WNU96
pQFNc_WNU96
SORGHUM Sorghum bicolor
7038, 6952, 7038, 6952 
191
285


WNU97
pUC19c_WNU97
SORGHUM Sorghum bicolor
6968, 6938, 6968, 6938 
192
286


WNU98
pUC19c_WNU98
SORGHUM Sorghum bicolor
6942, 7009, 6942, 7009
193
325


WNU99
pUC19g_WNU99
SORGHUM Sorghum bicolor
7017, 7008, 7017, 7008
194
326


WNU100
pQFNc_WNU100
SORGHUM Sorghum bicolor
7061, 7014, 7061, 6971
195
289


WNU101
pQFNc_WNU101
SORGHUM Sorghum bicolor
7079, 6973, 7079, 6973
196
290


WNU102
pMA-RQ_WNU102_GA


197
291


WNU104
pUC19c_WNU104
MAIZE Zea mays L.
7080, 7003, 7042, 6982
198
293


WNU105
pMA-RQ_WNU105_GA


199
294


WNU103_H11
pMA-RQ_WNU103_H11_GA


200
295


WNU22_H1
TopoB_WNU22_H1
WHEAT Triticum aestivum L.
6988, 7106, 6976, 7105
201
327





Table 75. “Polyn.”—Polynucleotide; “Polyp”— polypeptide. For cloning of each gene at least 2 primers were used: Forward (Fwd) or Reverse (Rev). In some cases, 4 primers were used: External forward (EF), External reverse (ER), nested forward (NF) or nested reverse (NR). The sequences of the primers used for cloning the genes are provided in the sequence listing. Some genes were synthetically produced by GeneArt (marked as “GA”).






Example 15
Transforming Agrobacterium Tumefaciens Cells with Binary Vectors Harboring Putative Genes
The above described binary vectors were used to transform Agrobacterium cells. Two additional binary constructs, having only the At6669 or the 35S promoter, or no additional promoter were used as negative controls.
The binary vectors were introduced to Agrobacterium tumefaciens GV301 or LB4404 (for Arabidopsis) or AGL1 (for Brachypodium) competent cells (about 109 cells/mL) by electroporation. The electroporation was performed using a MicroPulser electroporator (Biorad), 0.2 cm cuvettes (Biorad) and EC-2 electroporation program (Biorad). The treated cells were cultured in LB liquid medium at 28° C. for 3 hours, then plated over LB agar supplemented with gentamycin (for Arabidopsis; 50 mg/L; for Agrobacterium strains GV301) or streptomycin (for Arabidopsis; 300 mg/L; for Agrobacterium strain LB4404); or with Carbenicillin (for Brachypodium; 50 mg/L) and kanamycin (for Arabidopsis and Brachypodium; 50 mg/L) at 28° C. for 48 hours. Abrobacterium colonies, which were developed on the selective media, were further analyzed by PCR using the primers designed to span the inserted sequence in the pPI plasmid. The resulting PCR products were isolated and sequenced to verify that the correct polynucleotide sequences of the invention are properly introduced to the Agrobacterium cells.
Example 16
Transformation of Arabidopsis Thaliana Plants with the Polynucleotides of the Invention
Arabidopsis thaliana Columbia plants (T0 plants) were transformed using the Floral Dip procedure described by Clough and Bent, 1998 (Floral dip: a simplified method for Agrobacterium-mediated transformation of Arabidopsis thaliana. Plant J 16:735-43) and by Desfeux et al., 2000 (Female Reproductive Tissues Are the Primary Target of Agrobacterium-Mediated Transformation by the Arabidopsis Floral-Dip Method. Plant Physiol, July 2000, Vol. 123, pp. 895-904), with minor modifications. Briefly, T0 Plants were sown in 250 ml pots filled with wet peat-based growth mix. The pots were covered with aluminum foil and a plastic dome, kept at 4° C. for 3-4 days, then uncovered and incubated in a growth chamber at 18-24° C. under 16/8 hour light/dark cycles. The T0 plants were ready for transformation six days before anthesis.
Single colonies of Agrobacterium carrying the binary constructs, were generated as described in Examples 14-15 above. Colonies were cultured in LB medium supplemented with kanamycin (50 mg/L) and gentamycin (50 mg/L). The cultures were incubated at 28° C. for 48 hours under vigorous shaking and then centrifuged at 4000 rpm for 5 minutes. The pellets comprising the Agrobacterium cells were re-suspended in a transformation medium containing half-strength (2.15 g/L) Murashige-Skoog (Duchefa); 0.044 μM benzylamino purine (Sigma); 112 μg/L B5 Gambourg vitamins (Sigma); 5% sucrose; and 0.2 ml/L Silwet L-77 (OSI Specialists, CT) in double-distilled water, at pH of 5.7.
Transformation of T0 plants was performed by inverting each plant into an Agrobacterium suspension, such that the above ground plant tissue is submerged for 3-5 seconds. Each inoculated T0 plant was immediately placed in a plastic tray, then covered with clear plastic dome to maintain humidity and was kept in the dark at room temperature for 18 hours, to facilitate infection and transformation. Transformed (transgenic) plants were then uncovered and transferred to a greenhouse for recovery and maturation. The transgenic T0 plants were grown in the greenhouse for 3-5 weeks until siliques were brown and dry. Seeds were harvested from plants and kept at room temperature until sowing.
For generating T1 and T2 transgenic plants harboring the genes, seeds collected from transgenic T0 plants were surface-sterilized by soaking in 70% ethanol for 1 minute, followed by soaking in 5% sodium hypochloride and 0.05% triton for 5 minutes. The surface-sterilized seeds were thoroughly washed in sterile distilled water then placed on culture plates containing half-strength Murashige-Skoog (Duchefa); 2% sucrose; 0.8% plant agar; 50 mM kanamycin; and 200 mM carbenicylin (Duchefa). The culture plates were incubated at 4° C. for 48 hours, then transferred to a growth room at 25° C. for an additional week of incubation. Vital T1 Arabidopsis plants were transferred to fresh culture plates for another week of incubation. Following incubation the T1 plants were removed from culture plates and planted in growth mix contained in 250 ml pots. The transgenic plants were allowed to grow in a greenhouse to maturity. Seeds harvested from T1 plants were cultured and grown to maturity as T2 plants under the same conditions as used for culturing and growing the T1 plants.
Example 17
Transformation of Brachypodium Distachyon Plants with the Polynucleotides of the Invention
Similar to the Arabidopsis model plant, Brachypodium distachyon has several features that recommend it as a model plant for functional genomic studies, especially in the grasses. Traits that make it an ideal model include its small genome ( ̃160 Mbp for a diploid genome and 355 Mbp for a polyploidy genome), small physical stature, a short lifecycle, and few growth requirements. Brachypodium is related to the major cereal grain species but is understood to be more closely related to the Triticeae (wheat, barley) than to the other cereals. Brachypodium, with its polyploidy accessions, can serve as an ideal model for these grains (whose genomics size and complexity is a major barrier to biotechnological improvement).
Brachypodium distachyon embryogenic calli were transformed using the procedure described by Vogel and Hill (2008) [High-efficiency Agrobacterium-mediated transformation of Brachypodium distachyon inbred line Bd21-3. Plant Cell Rep 27:471-478], Vain et al (2008) [Agrobacterium-mediated transformation of the temperate grass Brachypodium distachyon (genotypeBd21) for T-DNA insertional mutagenesis. Plant Biotechnology J 6: 236-245], and Vogel J, et al. (2006) [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211], each of which is fully incorporated herein by reference, with some minor modifications, which are briefly summarized hereinbelow.
Callus initiation—Immature spikes (about 2 months after seeding) were harvested at the very beginning of seeds filling. Spikes were then husked and surface sterilized with 3% NaClO containing 0.1% Tween 20, shaked on a gyratory shaker at low speed for 20 minutes. Following three rinses with sterile distilled water, embryos were excised under a dissecting microscope in a laminar flow hood using fine forceps.
Excised embryos (size ̃0.3 mm, bell shaped) were placed on callus induction medium (CIM) [LS salts (Linsmaier, E. M. & Skoog, F. 1965. Physiol. Plantarum 18, 100) and vitamins plus 3% sucrose, 6 mg/L CuSO4, 2.5 mg/1 2,4-Dichlorophenoxyacetic Acid, pH 5.8 and 0.25% phytagel (Sigma)] scutellar side down, 100 embryos on a plate, and incubated at 28° C. in the dark. One week later, the embryonic calli was cleaned from emerging roots, shoots and somatic calli, and was subcultured onto fresh CIM medium. During culture, yellowish embryogenic callus (EC) appeared and were further selected (e.g., picked and transferred) for further incubation in the same conditions for additional 2 weeks. Twenty-five pieces of sub-cultured calli were then separately placed on 90×15 mm petri plates, and incubated as before for three additional weeks.
Transformation—As described in Vogel and Hill (2008, Supra), Agrobacterium was scraped off 2-day-old MGL plates (plates with the MGL medium which contains: Tryptone 5 g/l, Yeast Extract 2.5 g/l, NaCl 5 g/l, D-Mannitol 5 g/l, MgSO4*7H2O 0.204 g/l, K2HPO4 0.25 g/l, Glutamic Acid 1.2 g/l, Plant Agar 7.5 g/l) and resuspended in liquid MS medium supplemented with 200 μM acetosyringone to an optic density (OD) at 600 nm (OD600) of 0.6. Once the desired OD was attained, 1 ml of 10% Synperonic PE/F68 (Sigma) per 100 ml of inoculation medium was added.
To begin inoculation, 300 callus pieces were placed in approximately 12 plates (25 callus pieces in each plate) and covered with the Agrobacterium suspension (8-8.5 ml). The callus was incubated in the Agrobacterium suspension for 15 minutes with occasional gentle rocking. After incubation, the Agrobacterium suspension was aspirated off and the calli were then transferred into co-cultivation plates, prepared by placing a sterile 7-cm diameter filter paper in an empty 90×15 mm petri plate. The calli pieces were then gently distributed on the filter paper. One co-cultivation plate was used for two starting callus plates (50 initial calli pieces). The co-cultivation plates were then sealed with parafilm and incubated at 22° C. in the dark for 3 days. The callus pieces were then individually transferred onto CIM medium as described above, which was further supplemented with 200 mg/1 Ticarcillin (to kill the Agrobacterium) and Bialaphos (5 mg/L) (for selection of the transformed resistant embryogenic calli sections), and incubated at 28° C. in the dark for 14 days.
The calli pieces were then transferred to shoot induction media (SIM; LS salts and vitamins plus 3% Maltose monohydrate) supplemented with 200 mg/1 Ticarcillin, Bialaphos (5 mg/L), Indol-3-acetic acid (IAA) (0.25 mg/L), and 6-Benzylaminopurine (BAP) (1 mg/L), and were sub-cultured in light to the same media after 10 days (total of 20 days). At each sub-culture all the pieces from a single callus were kept together to maintain their independence and were incubated under the following conditions: lighting to a level of 60 IE m-2 s-1, a 16-h light, 8-h dark photoperiod and a constant 24° C. temperature. Plantlets emerged from the transformed calli.
When plantlets were large enough to handle without damage, they were transferred to plates containing the above mentioned shoot induction media (SIM) without Bialaphos. Each plantlet was considered as a different event. The plantlets grew axillary tillers and eventually became bushy. Each bush from the same plant (event ID) was then divided to tissue culture boxes (“Humus”) containing “rooting medium” [MS basal salts, 3% sucrose, 3 g/L phytagel, 2 mg/l α-Naphthalene Acetic Acid (NAA) and 1 mg/L IAA and Ticarcillin 200 mg/L, PH 5.8). All plants in a “Humus box” were different plants of the same transformation event.
When plantlets established roots they were transplanted to soil and transferred to a greenhouse. To verify the transgenic status of plants containing the other constructs, T0 plants were subjected to PCR as previously described by Vogel et al. 2006 [Agrobacterium mediated transformation and inbred line development in the model grass Brachypodium distachyon. Plant Cell Tiss Org. Cult. 85:199-211].
Example 18
Evaluating Transgenic Arabidopsis Nue Under Low or Normal Nitrogen Conditions Using Seedling Assays
Assay 1: Plant Growth Under Low and Favorable Nitrogen Concentration Levels
Surface sterilized seeds were sown in basal media [50% Murashige-Skoog medium (MS) supplemented with 0.8% plant agar as solidifying agent] in the presence of Kanamycin (used as a selecting agent). After sowing, plates were transferred for 2-3 days for stratification at 4° C. and then grown at 25° C. under 12-hour light 12-hour dark daily cycles for 7 to 10 days. At this time point, seedlings randomly chosen were carefully transferred to plates containing 1⁄2MS media (15 mM N) for the normal nitrogen concentration treatment and 0.30 mM nitrogen for the low nitrogen concentration treatments. For experiments performed in T2 lines, each plate contained 5 seedlings of the same transgenic event, and 3-4 different plates (replicates) for each event. For each polynucleotide of the invention at least four-five independent transformation events were analyzed from each construct. For experiments performed in T1 lines, each plate contained 5 seedlings of 5 independent transgenic events and 3-4 different plates (replicates) were planted. In total, for T1 lines, 20 independent events were evaluated. Plants expressing the polynucleotides of the invention were compared to the average measurement of the control plants (empty vector or GUS reporter gene under the same promoter) used in the same experiment.
Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) and located in a darkroom, was used for capturing images of plantlets sawn in agar plates.
The image capturing process was repeated every 3-4 days starting at day 1 till day 10 (see for example the images in FIGS. 3A-B). An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which is developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Seedling analysis—Using the digital analysis seedling data was calculated, including leaf area, root coverage and root length.
The relative growth rate for the various seedling parameters was calculated according to Formulas XIII (Relative growth rate of leaf area), XII (Relative growth rate of leaf blade area) and VI (Relative growth rate of root length) as described above.
At the end of the experiment, plantlets were removed from the media and weighed for the determination of plant fresh weight. Plantlets were then dried for 24 hours at 60° C., and weighed again to measure plant dry weight for later statistical analysis. Growth rate was determined by comparing the leaf area coverage, root coverage and root length, between each couple of sequential photographs, and results were used to resolve the effect of the gene introduced on plant vigor under optimal conditions. Similarly, the effect of the gene introduced on biomass accumulation, under optimal conditions, was determined by comparing the plants' fresh and dry weight to that of control plants (containing an empty vector or the GUS reporter gene under the same promoter). From every construct created, 3-5 independent transformation events were examined in replicates.
Statistical analyses—To identify genes conferring significantly improved plant vigor or enlarged root architecture, the results obtained from the transgenic plants were compared to those obtained from control plants that were grown under identical growth conditions. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. To evaluate the effect of a gene event over a control the data was analyzed by Student's t-test and the p value was calculated. Results were considered significant if p≦0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).
Experimental Results:
The genes presented in the following Tables were cloned under the regulation of a constitutive promoter (At6669). Evaluation of the effect of transformation in a plant of each gene was carried out by testing the performance of different number of transformation events. Some of the genes were evaluated in more than one seedling assay. The results obtained in these second experiments were significantly positive as well. Event with p-value<0.1 was considered statistically significant.
The genes presented in Tables 76-78 showed a significant improvement in plant NUE since they produced larger plant biomass (plant fresh and dry weight; leaf area, root length and root coverage) in T2 generation (Tables 76-77) or T1 generation (Table 78) when grown under limiting nitrogen growth conditions, compared to control plants that were grown under identical growth conditions. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil.







TABLE 76







Genes showing improved plant performance at nitrogen deficient conditions (T2 generation)












Dry Weight [mg]
Fresh Weight [mg]


















%


%


Gene Name
Event #
Ave.
P-Val.
Incr. 
Ave. 
P-Val.
Incr.

















WNU9
76615.4
5.33
0.10
34
128.6 
0.12
51


WNU41
79012.2 
5.12
0.05
29
—
—
—


WNU41
79012.4 
4.72
0.02
19
—
—
—


WNU41
79013.1 
5.05
0.05
27
98.0
0.25 
15


WNU31
75790.2
—
—
—
115.7
0.24
36


WNU20
78340.5
—
—
—
131.1
0.07
54


CONT.
—
3.97
—
—
85.3
—
—


WNU96
75816.4
6.25
L
80
95.7
L
40


WNU96
75818.9
4.07
0.21
17
85.4
0.29
25


WNU93
76607.13
—
—
—
83.4
0.20
22


WNU93
76607.9
4.80
0.02
38
86.7
0.15
27


WNU93
76609.3
5.03
0.04
45
106.9
0.06
57


WNU93
76609.4
3.98
0.26
15
89.3
0.19
31


WNU8
77116.2
4.05
0.05
17
—
—
—


WNU8
77117.9
3.98
0.23
15
—
—
—


WNU76
77092.1
4.73
0.13
36
86.0
0.07
26


WNU76
77092.3
4.07
0.25
17
—
—
—


WNU76
77095.2
4.72
0.03
36
94.8
0.08
39


WNU49
75796.8
4.35
0.13
25
92.2
0.22
35


WNU49
75797.3
3.98
0.22
15
81.4
0.25
19


WNU49
75799.6
—
—
—
81.5
0.29
20


WNU40
78091.1
4.55
0.02
31
88.2
0.22
29


WNU40
78092.5
4.30
0.22
24
117.1
0.22
72


WNU40
78095.5
4.63
L
34
—
—
—


WNU37
77766.2
4.47
0.21
29
102.5 
0.15
50


WNU37
77767.1
4.10
0.06
18
109.2
0.07
60


WNU37
77767.3
5.58
0.02
61
105.6 
0.01
55


WNU23
78341.3
4.25
0.16
22
83.0
0.17
22


WNU23
78341.7
4.00
0.18
15
—
—
—


WNU23
78343.1
4.43
0.06
28
102.6
0.05
50


WNU23
78344.2
4.12
0.18
19
88.9
0.12
30


WNU102
76549.12
4.72
L
36
95.5
0.21
40


WNU102
76550.4
5.10
L
47
107.5
0.03
58


WNU100
77989.3
4.58
0.09
32
94.5
0.02
39


WNU100
78026.6
4.05
0.18
17
—
—
—


WNU100
78029.3
4.17
0.03
20
—
—
—


CONT.
—
3.47
—
—
68.2
—
—


WNU70
78102.7
4.00
0.07
33
68.0
0.04
39


WNU70
78104.1
4.37
0.21
46
67.1
0.29
37


WNU61
78014.1
3.70
0.15
23
—
—
—


WNU61
78014.2
4.25
0.20
42
66.4
0.10
36


WNU61
78015.10 
3.47
0.20
16
56.2
0.21
15


WNU6
76542.5
6.58
0.02
119
108.0 
0.05
121


WNU6
76544.1
4.25
0.02
42
66.1
0.05
35


WNU6
76544.4
6.27
0.15
109
—
—
—


WNU55
77632.3
5.93
0.04
98
63.2
0.05
29


WNU55
77632.6
5.40
0.02
80
67.5
0.03
38


WNU51
79018.6
3.60
0.14
20
—
—
—


WNU51
79019.2
—
—
—
58.5
0.11
20


WNU11
76397.2
4.00
0.25
33
61.8
0.19
27


WNU105
77261.2
4.37
0.05
46
—
—
—


WNU105
77261.4
3.52
0.21
18
56.1
0.24
15


CONT.
—
4.39
—
—
71.2
—
—


WNU91
76213.2
—
—
—
93.1
0.19
14


WNU91
76213.4
4.88
0.02
30
102.7
0.02
26


WNU70
78104.1
4.92
0.04
31
96.2
0.08
18


WNU70
78104.3
5.05
0.12
35
119.0 
0.06
46


WNU70
78104.4
4.47
0.16
19
99.9
0.16
23


WNU14
77113.9
—
—
—
96.6
0.10
19


WNU11
76397.2
5.25
0.02
40
126.4
0.07
55


WNU105
77261.4
4.55
0.20
21
96.5
0.08
19


CONT.
—
3.75
—
—
81.4
—
—


WNU99
77099.4
—
—
—
41.5
0.28
17


WNU99
77100.3
3.43
0.01
39
47.8
L
34


WNU98
77462.4
3.35
0.01
36
51.8
L
46


WNU97
77181.4
3.30
L
34
49.8
0.06
40


WNU97
77182.2
3.15
0.10
28
48.0
L
35


WNU94
78108.3
3.08
0.05
25
44.9
0.01
26


WNU94
78109.1
2.90
0.26
18
—
—
—


WNU94
78110.3
—
—
—
47.3
0.17
33


WNU9
76612.1
—
—
—
43.1
0.22
21


WNU9
76615.6
3.73
L
52
54.1
L
52


WNU83
75821.8
3.08
0.04
25
49.2
L
39


WNU83
75823.10 
3.28
0.05
33
48.7
0.05
37


WNU83
75824.4
—
—
—
42.6
0.09
20


WNU81
78097.2
3.40
0.03
38
55.5
L
56


WNU81
78097.5
3.15
0.06
28
45.1
0.08
27


WNU81
78098.2
—
—
—
42.1
0.08
19


WNU5
76044.2
3.17
0.09
29
42.7
0.19
20


WNU5
76045.7
3.05
0.09
24
—
—
—


WNU46
77021.3
3.40
L
38
45.3
0.08
28


WNU46
77022.1
3.02
0.14
23
41.6
0.10
17


WNU46
77024.3
—
—
—
49.6
0.12
40


WNU43
77270.2
3.32
0.02
35
46.4
L
31


WNU41
79012.2
3.55
0.15
44
—
—
—


WNU41
79012.4
4.13
L
68
54.3
0.02
53


WNU41
79013.1
2.98
0.07
21
44.8
0.10
26


WNU38
76594.5
3.25
0.05
32
51.2
0.17
44


WNU38
76595.11
—
—
—
41.9
0.21
18


WNU35
75793.1
3.32
0.02
35
48.3
0.05
36


WNU31
75786.3
3.35
0.15
36
47.6
0.15
34


WNU31
75790.2
3.45
0.10
40
46.0
0.06
30


WNU31
75790.7
3.10
0.14
26
53.5
0.05
51


WNU20
78336.5
2.95
0.07
20
41.2
0.23
16


WNU20
78340.1
3.15
0.05
28
46.3
0.07
30


WNU20
78340.5
3.00
0.16
22
54.9
0.09
55


WNU17
76556.4
—
—
—
40.8
0.17
15


WNU17
76557.4
2.85
0.15
16
40.7
0.22
15


WNU17
76559.1
3.02
0.23
23
—
—
—


CONT.
—
2.46
—
—
35.5
—
—


WNU103_H11
78347.1
4.4
0.18126
26
—
—
—


WNU103_H11
78346.4
—
—
—
107.15
0.11509
57


WNU22_H1
79403.1
3.925
0.119338
13
90.55
0.200901 
32


WNU22_H1
79405.2
4.775
0.085495
37
103.375
0.194248
51


CONT.
—
3.47
—
—
68.18
—
—





Table 76.


“CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 77







Genes showing improved plant performance at nitrogen deficient conditions (T2 generation)














Roots 





Leaf Area [cm2]
Coverage [cm2] 
Roots Length [cm]




















P-
%

P-
%

P-
%


Gene Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave.
Val.
Incr.




















WNU98
77462.2
0.457
0.15
13
—
—
—
7.03
L
11


WNU98
77462.4
—
—
—
—
—
—
6.71
0.10
6


WNU98
77463.13
0.437
0.27
8
—
—
—
—
—
—


WNU98
77465.1
0.468
0.08
16
11.2
0.02
23
6.68
0.28
6


WNU97
77182.2
0.448
0.01
11
10.8
0.29
18
6.83
0.02
8


WNU94
78108.3
—
—
—
11.7
0.04
27
7.13
0.05
13


WNU9
76612.1
—
—
—
—
—
—
6.79
0.19
8


WNU9
76615.6
—
—
—
—
—
—
6.81
0.02
8


WNU83
75821.7
—
—
—
—
—
—
6.77
0.05
7


WNU83
75823.10
—
—
—
—
—
—
6.67
0.22
6


WNU83
75824.4
—
—
—
—
—
—
6.64
0.05
5


WNU81
78098.2
—
—
—
—
—
—
6.85
0.10
9


WNU41
79012.1
—
—
—
—
—
—
6.99
0.12
11


WNU41
79012.2
0.468
L
16
14.8
L
61
7.37
L
17


WNU41
79012.4
0.472
0.15
17
—
—
—
6.74
0.07
7


WNU41
79013.1
0.458
0.14
13
10.3
0.02
13
6.74
0.08
7


WNU38
76595.11
0.442
0.16
9
—
—
—
6.89
0.09
9


WNU31
75790.2
0.477
0.08
18
10.8
0.12
18
6.77
0.05
7


WNU31
75790.7
—
—
—
11.9
0.28
30
—
—
—


WNU31
75790.8
—
—
—
—
—
—
6.78
0.03
7


WNU20
78339.2
0.459
0.10
14
—
—
—
7.07
L
12


WNU20
78340.1
—
—
—
10.4
0.13
13
7.20
0.02
14


WNU20
78340.5
0.468
0.09
16
11.8
L
29
7.44
L
18


WNU17
76556.3
0.464
0.02
15
12.5
0.02
37
7.38
L
17


WNU17
76557.4
—
—
—
—
—
—
6.82
0.15
8


CONT.
—
0.404
—
—
9.15
—
—
6.30
—
—


WNU96
75816.4
0.444
0.02
39
11.4
L
58
7.01
L
18


WNU96
75818.9
0.366
0.19
15
8.28
0.23
15
6.63
0.04
12


WNU96
75820.6
—
—
—
—
—
—
6.86
L
16


WNU96
75820.7
0.365
0.10
15
—
—
—
—
—
—


WNU93
76607.13
0.403
0.02
26
10.6
L
48
7.09
L
20


WNU93
76607.9
0.386
0.05 
21
9.08 
0.15
26
—
—
—


WNU93
76609.3 
0.407
0.11
28
9.62 
0.21
34
7.04
0.03
19


WNU8
77117.1
0.369
0.19
16
8.70
0.06
21
6.35 
0.21
7


WNU8
77117.9
0.359
0.19 
12
—
—
—
—
—
—


WNU76
77091.10 
—
—
—
8.32
0.24
16
—
—
—


WNU76
77092.1
0.452
0.07
42
—
—
—
—
—
—


WNU76
77095.2
0.368
0.25
15
9.56
0.05
33
6.38
0.24
8


WNU49
75796.8
0.399
0.03
25
8.38
0.09
17
—
—
—


WNU49
75797.3 
0.359
0.13
13
—
—
—
6.28
0.23
6


WNU49
75799.6
0.369
0.26
16
—
—
—
—
—
—


WNU49
75799.7
—
—
—
—
—
—
6.42
0.09
8


WNU40
78091.1 
0.392
L
23
—
—
—
—
—
—


WNU40
78092.5
0.373
0.02 
17
10.3
L
44
6.45 
0.09
9


WNU40
78095.5
0.374
0.28 
17
—
—
—
—
—
—


WNU37
77766.2 
0.402
0.03
26
9.28 
0.14
29
—
—
—


WNU37
77767.1
0.391
0.12
23
9.33
0.06
30
6.77
0.11
14


WNU37
77767.3
0.397
0.07
24
11.0 
0.02 
53
6.85
0.06
15


WNU23
78341.3
0.397
0.01
24
—
—
—
6.38
0.12
8


WNU23
78341.7
0.355
0.10
11
8.16 
0.21 
14
6.60
0.16
11


WNU23
78343.1
0.428
0.01
34
9.83 
0.08 
37
7.22
L
22


WNU23
78344.2 
0.408
L
28
—
—
—
6.73 
0.02 
13


WNU102
76549.12
0.442
L
38
12.1
L
68
6.75
0.03
14


WNU102
76550.4 
0.444
L
39
12.5
L
74
7.26
0.01
22


WNU100
77989.3 
0.414
0.01
30
8.90 
0.05
24
6.83
L
15


WNU100
77990.2
—
—
—
—
—
—
6.54
0.15 
10


WNU100
78026.6
0.379
0.06 
19
—
—
—
—
—
—


WNU100
78029.3
0.350
0.16
10
10.1
0.01
40
6.67
0.03
12


CONT.
—
0.319
—
—
7.18
—
—
5.93
—
—


WNU91
76213.2
—
—
—
—
—
—
5.87 
0.23
7


WNU91
76213.4
0.373
0.17 
11
—
—
—
5.93
0.17
8


WNU91
76215.5
—
—
—
—
—
—
5.93 
0.05
8


WNU70
78102.7
0.411
0.10 
22
8.73 
0.01
51
6.85
L
25


WNU70
78104.1
0.416
0.09
24
7.75
0.02
34
—
—
—


WNU70
78104.3
—
—
—
—
—
—
6.20
0.02
13


WNU61
78014.1
0.370
0.07 
10
6.50 
0.20
13
5.88
L
7


WNU61
78014.2 
0.404
0.14
20
8.59 
0.16
49
5.87
0.18
7


WNU61
78015.10
0.380
0.05 
13
6.35
0.20
10
5.97 
0.08
9


WNU6
76542.5
0.459
0.05
37
12.6
0.04
119 
6.83
0.02
24


WNU6
76544.1
0.435 
L
29
7.58
L
31
6.30
L
15


WNU55
77632.3 
0.419 
L
25
7.55
0.04 
31
—
—
—


WNU55
77632.6 
0.389
0.04 
16
8.23
0.05
43
5.95
0.24
8


WNU55
77634.1 
0.351
0.24
5
—
—
—
—
—
—


WNU51
79018.6 
0.388
0.11 
16
7.32
0.15
27
5.93
0.02
8


WNU51
79019.2 
0.377
0.11
12
7.13 
0.15
24
—
—
—


WNU11
76397.2 
0.401
0.15 
19
7.72
0.10
34
6.28
0.23 
14


WNU11
76400.2
0.389
0.09
16
—
—
—
—
—
—


WNU105
77261.2
0.461
L
37
10.6
0.02 
83
6.91
L
26


WNU105
77263.4
0.396
0.19 
18
7.63
0.29 
32
—
—
—


CONT.
—
0.336 
—
—
5.77
—
—
5.50
—
—


WNU91
76211.4
0.428
0.21
14
—
—
—
6.61
0.30
9


WNU91
76213.2
0.464
L
23
9.57
0.10
27
7.10
L
18


WNU91
76213.4
0.513
L
36
12.3
L
64
7.32
L
21


WNU70
78104.1 
0.446
0.04 
19
9.87
0.04 
31
—
—
—


WNU70
78104.3 
0.505
0.03
34
11.8
0.04
57
7.43
L
23


WNU70
78104.4
0.518
L
38
9.26 
0.14
23
6.70
0.04
11


WNU7
77772.3
—
—
—
8.96
0.06
19
—
—
—


WNU6
76544.1
—
—
—
8.82
0.20
18
7.23
0.02
20


WNU6
76544.4
—
—
—
—
—
—
6.44
0.20
7


WNU42
76597.1
0.423
0.03
12
—
—
—
—
—
—


WNU42
76598.1
0.423
0.15 
12
9.01
0.09
20
6.54 
0.18
8


WNU34
76588.5
—
—
—
—
—
—
6.44 
0.19
7


WNU14
77113.11
0.439
0.07 
17
9.47 
0.20 
26
—
—
—


WNU14
77113.4
—
—
—
—
—
—
6.38
0.28
6


WNU14
77113.9 
0.432
0.02
15
—
—
—
—
—
—


WNU11
76397.2 
0.546
L
45
10.9
L
45
7.49
L
24


WNU11
76398.1
0.413
0.14
10
—
—
—
—
—
—


WNU11
76399.1
—
—
—
—
—
—
6.48
0.19
7


WNU11
76400.2
0.423
0.02
12
8.45
0.21
12
—
—
—


WNU105
77261.4 
0.472
L
26
9.22
0.10
23
6.67 
0.15 
10


CONT.
—
0.376 
—
—
7.51
—
—
6.04
—
—


WNU99
77100.3
0.395
L
30
—
—
—
—
—
—


WNU98
77462.4
0.390
0.01
28
6.49 
0.21 
11
6.24
0.27
9


WNU97
77181.4
0.389
0.02
28
—
—
—
—
—
—


WNU97
77182.2 
0.359
0.10 
18
7.05
0.21
21
—
—
—


WNU94
78108.3
0.378
0.01
24
6.74
0.18
15
6.24 
0.11
9


WNU94
78110.3
0.347
0.10
14
—
—
—
—
—
—


WNU9
76612.1
0.377
0.04
24
6.50
0.12
11
6.45 
0.03
12


WNU9
76615.4
—
—
—
—
—
—
6.27 
0.26
9


WNU9
76615.6
0.378
0.10
24
7.05
0.26 
20
—
—
—


WNU83
75821.8
0.395
L
30
—
—
—
—
—
—


WNU83
75823.10
0.376
0.05
23
—
—
—
—
—
—


WNU81
78097.2
0.391
0.01
28
7.15
0.14 
22
6.34 
0.13 
11


WNU81
78097.5 
0.374
0.07
23
—
—
—
—
—
—


WNU5
76044.2 
0.358
0.11
18
6.69
0.08 
14
6.45
0.04
12


WNU5
76045.7
0.383
0.12
26
—
—
—
6.49
0.12
13


WNU46
77021.3
0.337
0.20
10
—
—
—
—
—
—


WNU46
77024.3
0.339
0.30
11
7.03
0.20 
20
6.55 
0.04
14


WNU41
79012.2
0.337
0.28
11
—
—
—
—
—
—


WNU41
79012.4 
0.434
L
42
7.55
0.03
29
6.21
0.14
8


WNU41
79013.1 
0.354
0.07
16
—
—
—
—
—
—


WNU38
76594.5
0.396
0.06
30
7.15
0.12
22
—
—
—


WNU38
76595.11
0.362
0.13
19
6.88
0.26
17
6.35
0.09
11


WNU35
75793.1
0.389
L
28
—
—
—
—
—
—


WNU31
75786.3
0.397
L
30
6.74
0.08
15
—
—
—


WNU31
75790.2
0.424
L
39
7.27
0.19
24
6.35
0.10
11


WNU31
75790.7
0.397
0.02
30
—
—
—
—
—
—


WNU20
78336.5
0.335
0.29
10
—
—
—
—
—
—


WNU20
78340.1
0.399
L
31
7.45
L
27
6.62
0.02
15


WNU20
78340.5
0.366
0.03
20
7.29
0.09
24
6.36
0.13
11


CONT.
—
0.305
—
—
5.85
—
—
5.74
—
—


WNU103_H11
78346.4
0.399
0.024
25
9.27
0.09
29
6.90
0.008
16


WNU103_H11
78347.1
—
—
—
8.98
0.12
25
—
—
—


WNU22_H1
79403.1
0.359
0.246
13
—
—
—
6.40
0.253
8


WNU22_H1
79405.2
0.389
0.023
22
8.36
0.28
16
—
—
—


WNU22_H1
79464.2
0.381
0.090
20
8.63
0.26
20
6.57
0.124
11


CONT.
—
0.319
—
—
7.18
—
—
5.93
—
—





Table 77.


“CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 78







Genes showing improved plant performance at 


nitrogen deficient conditions (T1 generation)











Dry Weight [mg]












Gene Name
Ave.
P-Val.
% Incr.







WNU90
6.35
0.09
25



WNU1
6.00
0.10
18



CONT.
5.07
—
—







Table 78: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment. “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.






The genes listed in Table 79 have improved plant relative growth rate (relative growth rate of the leaf area, root coverage and root length) when grown under limiting nitrogen growth conditions, compared to control plants (T2 generation) that were grown under identical growth conditions. Plants showing fast growth rate show a better plant establishment in soil under nitrogen deficient conditions. Faster growth was observed when growth rate of leaf area, root length and root coverage was measured.







TABLE 79







Genes showing improved plant growth rate at nitrogen deficient conditions (T2 generation)


















RGR Of Roots
RGR Of Root













RGR Of Leaf Area
Coverage
Length




















P-
%

P-
%

P-
%


Gene Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave.
Val.
Incr.




















WNU98
77462.2
0.0444
0.16
16
—
—
—
—
—
—


WNU98
77465.1
0.0446
0.11
17
1.33
0.03
22
—
—
—


WNU97
77182.2
—
—
—
1.28
0.12
17
—
—
—


WNU94
78108.3
—
—
—
1.37
0.02
25
0.630
0.21
11


WNU83
75821.7
—
—
—
—
—
—
0.0619
0.25
9


WNU81
78098.2
0.0427
0.27
12
—
—
—
—
—
—


WNU41
79012.2
—
—
—
1.75
L
61
0.620
0.25
9


WNU41
79012.4
0.0443
0.15
16
—
—
—
—
—
—


WNU41
79013.1
—
—
—
1.23
0.17
12
—
—
—


WNU38
76595.11
0.0425
0.27
11
—
—
—
—
—
—


WNU31
75790.2
—
—
—
1.25
0.13
15
—
—
—


WNU31
75790.7
—
—
—
1.41
0.05
30
—
—
—


WNU20
78339.2
0.0429
0.24
12
—
—
—
—
—
—


WNU20
78340.5
—
—
—
1.37
L
26
—
—
—


WNU17
76556.3
—
—
—
1.47
L
35
—
—
—


WNU17
76559.1
—
—
—
1.25
0.20
15
—
—
—


CONT.
—
0.0383
—
—
1.09
—
—
0.569
—
—


WNU96
75816.4
0.0358
0.25
18
1.34
L
55
0.604
0.27
13


WNU96
75820.6
—
—
—
—
—
—
0.612
0.19
14


WNU93
76607.13
0.0382
0.11
26
1.27
L
46
—
—
—


WNU93
76607.9
—
—
—
1.08
0.16
25
—
—
—


WNU93
76609.3
0.0377
0.16
24
1.13
0.11
31
0.601
0.29
12


WNU8
77117.1
—
—
—
1.03
0.30
19
—
—
—


WNU76
77092.1
0.0413
0.05
36
—
—
—
—
—
—


WNU76
77095.2
—
—
—
1.13
0.07
30
—
—
—


WNU49
75796.8
0.0370
0.16
22
—
—
—
—
—
—


WNU40
78091.1
0.0371
0.14
22
—
—
—
—
—
—


WNU40
78092.5
—
—
—
1.25
0.01
44
—
—
—


WNU37
77766.2
0.0370
0.16
22
1.12
0.09
30
—
—
—


WNU37
77767.1
0.0369
0.19
22
1.09
0.12
27
—
—
—


WNU37
77767.3
0.0368
0.17
21
1.32
L
52
0.612
0.22
14


WNU23
78341.7
0.0354
0.27
17
—
—
—
0.603
0.28
13


WNU23
78343.1
0.0408
0.05
34
1.17
0.07
35
0.648
0.10
21


WNU23
78344.2
0.0365
0.18
20
—
—
—
—
—
—


WNU102
76549.12
0.0418
0.02
38
1.44
L
67
—
—
—


WNU102
76550.4
0.0423
0.01
39
1.48
L
71
0.605
0.26
13


WNU100
77989.3
0.0385
0.08
27
1.03
0.21
19
—
—
—


WNU100
78026.6
0.0362
0.22
19
—
—
—
—
—
—


WNU100
78029.3
—
—
—
1.21
0.02
40
0.615
0.18
15


CONT.
—
0.0304
—
—
0.865
—
—
0.535
—
—


WNU91
76213.4
0.0355
0.27
13
—
—
—
0.553
0.04
17


WNU70
78102.7
0.0373
0.17
19
1.02
L
51
0.577
L
22


WNU70
78104.1
0.0388
0.06
24
0.934
0.04
39
0.568
0.09
20


WNU70
78104.3
—
—
—
—
—
—
0.566
0.01
20


WNU61
78014.1
0.0358
0.19
15
0.784
0.29
16
0.551
0.02
16


WNU61
78014.2
—
—
—
1.02
0.03
51
0.525
0.18
11


WNU61
78015.10
0.0366
0.12
17
—
—
—
0.536
0.10
13


WNU6
76542.5
0.0402
0.04
29
1.49
L
121
0.553
0.08
17


WNU6
76544.1
0.0369
0.11
18
0.893
0.04
32
0.531
0.09
12


WNU55
77632.3
—
—
—
0.902
0.06
34
—
—
—


WNU55
77632.6
—
—
—
0.958
0.02
42
—
—
—


WNU51
79018.6
0.0370
0.14
18
0.892
0.07
32
0.580
L
22


WNU51
79019.2
0.0353
0.29
13
0.861
0.12
28
0.544
0.08
15


WNU11
76397.2
0.0360
0.29
15
0.912
0.06
35
0.534
0.28
13


WNU11
76398.1
—
—
—
—
—
—
0.518
0.25
10


WNU105
77261.2
0.0408
0.01
30
1.25
L
89
0.602
L
27


WNU105
77263.4
0.0377
0.14
20
0.920
0.10
36
0.544
0.11
15


CONT.
—
0.0313
—
—
0.674
—
—
0.473
—
—


WNU91
76211.4
—
—
—
1.08
0.18
21
0.606
0.29
10


WNU91
76213.2
0.0443
0.12
21
1.12
0.06
26
—
—
—


WNU91
76123.4
0.0466
0.05
28
1.46
L
63
0.640
0.02
16


WNU70
78104.1
—
—
—
1.18
0.02
32
—
—
—


WNU70
78104.3
0.0461
0.07
26
1.39
L
56
0.634
0.05
15


WNU70
78104.4
0.0457
0.06
25
1.11
0.08
24
0.622
0.07
13


WNU7
77772.3
—
—
—
1.08
0.11
21
—
—
—


WNU7
77775.1
—
—
—
1.06
0.26
19
—
—
—


WNU6
76544.1
0.0425
0.25
17
1.05
0.20
17
0.643
0.03
17


WNU42
76598.1
0.0426
0.24
17
1.07
0.13
20
0.599
0.25
9


WNU14
77113.11
—
—
—
1.11
0.10
24
—
—
—


WNU11
76397.2
0.0504
L
38
1.29
L
44
0.626
0.08
13


WNU105
77261.4
0.0446
0.11
22
1.09
0.10
22
—
—
—


CONT.
—
0.0365
—
—
0.893
—
—
0.552
—
—


WNU99
77100.3
0.0366
0.10
27
—
—
—
—
—
—


WNU97
77181.4
0.0386
0.06
34
—
—
—
0.559
0.12
17


WNU97
77182.2
0.0348
0.21
21
0.837
0.17
21
—
—
—


WNU94
78108.3
0.0367
0.09
27
0.798
0.24
15
—
—
—


WNU94
78110.3
0.0339
0.26
18
—
—
—
—
—
—


WNU9
76612.1
0.0358
0.16
24
—
—
—
0.573
0.06
20


WNU9
76615.6
0.0345
0.27
20
0.838
0.16
21
—
—
—


WNU83
75821.8
0.0370
0.08
29
—
—
—
0.546
0.18
14


WNU81
78097.2
0.0370
0.09
28
0.850
0.11
23
0.543
0.24
13


WNU81
78097.5
0.0360
0.15
25
—
—
—
—
—
—


WNU5
76044.2
0.0356
0.17
24
0.789
0.26
14
0.532
0.27
11


WNU5
76045.7
0.0381
0.09
32
0.824
0.20
19
0.560
0.15
17


WNU46
77024.3
0.0339
0.28
18
0.825
0.17
19
0.535
0.28
12


WNU41
79012.4
0.0420
0.01
46
0.894
0.05
29
—
—
—


WNU41
79013.1
0.0347
0.20
20
—
—
—
—
—
—


WNU38
76594.5
0.0388
0.06
35
0.851
0.11
23
0.536
0.30
12


WNU38
76595.11
0.0359
0.17
25
0.811
0.23
17
—
—
—


WNU35
75793.1
0.0363
0.11
26
—
—
—
0.576
0.06
20


WNU31
75786.3
0.0361
0.11
25
0.803
0.18
16
—
—
—


WNU31
75790.2
0.0371
0.10
29
0.863
0.11
25
0.580
0.06
21


WNU31
75790.7
0.0374
0.10
30
—
—
—
—
—
—


WNU20
78336.5
—
—
—
—
—
—
0.547
0.19
14


WNU20
78340.1
0.0384
0.05
33
0.879
0.03
27
0.574
0.06
20


WNU20
78340.5
0.0345
0.23
20
0.866
0.08
25
—
—
—


CONT.
—
0.0288
—
—
0.692
—
—
0.479
—
—


WNU103_H11
78346.4
0.0378
0.117
24
1.117
0.088
29
0.604
0.252
13


WNU103_H11
78347.1
—
—
—
1.053
0.203
22
—
—
—


WNU22_H1
79464.2
—
—
—
1.035
0.250
20
—
—
—


CONT.
—
0.030
—
—
0.865
—
—
0.535
—
—





Table 79.


“CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.






The genes listed in Tables 80-83 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced larger plant biomass (plant fresh and dry weight; leaf area, root coverage and roots length) when grown under standard nitrogen growth conditions, compared to control plants that were grown under identical growth conditions in T2 (Tables 80-81) and T1 (Tables 82-83) generations. Larger plant biomass under these growth conditions indicates the high ability of the plant to better metabolize the nitrogen present in the medium. Plants producing larger root biomass have better possibilities to absorb larger amount of nitrogen from soil.







TABLE 80







Genes showing improved plant performance at standard 


nitrogen growth conditions (T2 generation)












Dry Weight [mg]
Fresh Weight [mg]


















%


%


Gene Name
Event #
Ave.
P-Val.
Incr.
Ave.
P-Val.
Incr.

















WNU91
76213.2
3.50
0.24
19
—
—
—


WNU70
78102.7
4.67
0.20
59
66.9
L
35


WNU70
78104.1
4.77
0.12
63
80.5
0.02
63


WNU61
78014.2
6.43
0.14
119
115.2
0.04
133


WNU6
76542.5
6.12
0.10
109
108.5
0.09
120


WNU6
76544.1
4.45
0.25
51
71.5
0.18
45


WNU6
76544.4
5.77
0.02
97
81.7
L
65


WNU55
77632.3
6.28
0.01
114
115.5
L
134


WNU55
77632.6
7.03
0.01
139
102.3
0.10
107


WNU55
77634.1
4.35
L
48
73.5
L
49


WNU51
79018.4
3.60
L
23
61.8
0.12
25


WNU51
79018.6
4.12
0.24
40
71.1
0.18
44


WNU11
76397.2
5.47
L
86
105.4
L
113


WNU105
77261.2
7.58
0.01
158
133.4
L
170


WNU105
77261.4
5.88
L
100
102.8
0.08
108


WNU105
77263.4
4.57
0.07
55
62.8
0.19
27


CONT.
—
2.94
—
—
49.4
—
—


WNU99
77097.4
4.80
0.24
121
67.2
L
78


WNU99
77099.4
4.75
0.06
118
72.5
0.02
92


WNU99
77100.3
3.67
0.06
69
59.5
0.08
57


WNU98
77462.4
3.43
0.02
57
49.8
0.07
32


WNU98
77463.13 
3.95
L
82
60.8
L
61


WNU98
77465.1
—
—
—
48.3
0.19
28


WNU97
77181.4
3.17
0.09
46
54.8
0.06
45


WNU97
77182.2
2.75
0.03
26
46.9
0.04
24


WNU94
78108.3
3.38
L
55
58.4
0.03
54


WNU94
78109.1
3.32
L
53
46.4
0.17
22


WNU94
78110.3
3.67
0.06
69
53.5
0.21
41


WNU9
76612.1
2.80
0.06
29
49.5
0.09
31


WNU9
76615.4
2.58
0.14
18
—
—
—


WNU9
76615.6
4.38
L
101
65.2
0.02
72


WNU83
75821.8
3.67
L
69
51.3
0.01
36


WNU83
75823.10
4.68
L
115
65.9
0.01
74


WNU81
78097.2
2.82
0.02
30
—
—
—


WNU81
78097.5
4.60
L
111
69.4
0.05
83


WNU81
78098.2 
2.73 
0.12
25
44.5 
0.17
17


WNU5
76044.2
3.75
0.02
72
61.2
L
62


WNU5
76045.7 
3.17
0.08
46
47.7
0.20
26


WNU46
77021.3
4.73
0.04
118
62.8 
0.01
66


WNU46
77022.1
3.37
L
55
—
—
—


WNU46
77024.3 
2.82
0.02
30
—
—
—


WNU43
77270.2
3.32
L
53
44.9
0.19
19


WNU41
79012.2
3.32 
0.01
53
55.3
L
46


WNU41
79012.4
4.50
L
107
66.4
0.01
75


WNU41
79013.1 
3.12
0.13
44
—
—
—


WNU38
76591.4
2.70
0.08
24
—
—
—


WNU38
76594.5 
2.93
0.14
34
—
—
—


WNU38
76595.11
2.65 
0.30
22
—
—
—


WNU35
75792.2
3.58
0.01
64
59.7
L
58


WNU35
75793.1
4.10
L
89
68.1
0.03
80


WNU35
75794.1
2.93
0.02
34
45.4 
0.10
20


WNU31
75786.3
3.43
L
57
60.5
0.03
60


WNU31
75790.2
3.97
L
82
54.6
L
44


WNU31
75790.7 
3.73
L
71
66.2
L
75


WNU20
78340.1 
3.38
0.03
55
46.3
0.10
22


WNU20
78340.5 
3.47
0.09
60
52.9
0.05
40


WNU17
76556.4 
3.85 
0.02
77
59.9
L
58


WNU17
76557.4
2.62
0.22
21
42.1
0.28
11


WNU17
76559.1
3.12
0.05
44
59.4
0.05
57


CONT.
—
2.17
—
—
37.8
—
—





Table 80.


“CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 81







Genes showing improved plant performance at 


standard nitrogen growth conditions (T2 generation)




















Roots Coverage
















Leaf Area [cm2]
[cm2]
Roots Length [cm]




















P-
%

P-
%

P-
%


Gene Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave.
Val.
Incr.




















WNU91
76213.4
0.403
0.27
12
—
—
—
5.50
0.25
8


WNU91
76215.5
—
—
—
5.60
0.17
34
5.81
0.10
15


WNU70
78102.7
0.498
0.11
38
5.99
0.21
44
5.79
0.25
14


WNU70
78104.1
0.485
0.05
35
—
—
—
—
—
—


WNU70
78104.3
—
—
—
5.34
0.22
28
5.58
0.22
10


WNU61
78014.1
0.451
0.05
25
5.34
0.20
28
5.77
0.10
14


WNU61
78014.2
0.585
0.07
63
5.93
0.10
42
—
—
—


WNU61
78015.10
0.387
0.26
8
—
—
—
—
—
—


WNU6
76542.5
0.534
0.10
48
7.95
0.04
91
6.50
0.02
28


WNU6
76544.4
0.468
L
30
7.51
L
80
6.29
L
24


WNU55
77632.3
0.651
L
81
6.31
L
51
5.58
0.27
10


WNU55
77632.6
0.597
L
66
6.90
0.05
65
—
—
—


WNU55
77634.1
0.442
0.02
23
—
—
—
—
—
—


WNU51
79018.6
0.465
0.05
29
6.09
0.06
46
5.58
0.22
10


WNU11
76397.2
0.546
L
52
6.81
L
63
5.96
0.06
18


WNU11
76400.2
—
—
—
—
—
—
5.63
0.28
11


WNU105
77261.2
0.713
L
98
10.2
L
144
6.52
L
29


WNU105
77261.4
0.531
0.02
48
6.30
0.04
51
5.94
0.12
17


WNU105
77263.4
0.410
0.08
14
—
—
—
—
—
—


CONT.
—
0.360
—
—
4.17
—
—
5.07
—
—


WNU99
77097.4
0.409
L
39
5.03
0.04
48
—
—
—


WNU99
77099.4
0.440
0.01
49
—
—
—
—
—
—


WNU99
77100.3
0.426
0.01
45
—
—
—
—
—
—


WNU98
77462.4
0.393
L
34
4.94
0.02
46
6.13
0.02
15


WNU98
77463.13
0.430
L
46
4.30
0.24
27
—
—
—


WNU98
77465.1
0.352
0.11
20
—
—
—
—
—
—


WNU97
77181.4
0.407
0.01
38
5.07
0.10
49
—
—
—


WNU97
77182.2
0.356
0.04
21
—
—
—
—
—
—


WNU94
78108.3
0.407
0.02
38
5.24
0.02
54
5.71
0.22
7


WNU94
78109.1
0.358
0.04
22
—
—
—
—
—
—


WNU94
78110.3
0.411
L
40
4.63
0.05
36
—
—
—


WNU9
76612.1
0.416
L
41
5.41
0.01
59
6.27
0.03
17


WNU9
76615.4
0.336
0.14
14
4.31
0.21
27
5.85
0.25
10


WNU9
76615.6
0.461
L
57
5.87
L
73
6.37
L
19


WNU83
75821.8
0.448
L
52
4.04
0.27
19
—
—
—


WNU83
75823.10
0.485
L
65
6.15
L
81
6.29
L
18


WNU83
75824.4
—
—
—
4.26
0.23
25
5.84
0.21
9


WNU81
78097.2
0.344
0.12
17
4.62
0.04
36
5.82
0.14
9


WNU81
78097.5
0.442
L
50
5.63
L
66
6.34
0.04
19


WNU5
76044.2
0.413
L
41
6.57
L
93
6.44
L
21


WNU5
76045.7
0.355
0.06
21
3.96
0.29
16
5.75
0.27
8


WNU46
77021.3
0.454
L
55
—
—
—
—
—
—


WNU46
77022.1
0.359
0.29
22
4.52
0.05
33
—
—
—


WNU46
77024.3
0.358
0.04
22
4.56
0.04
34
6.28
L
18


WNU41
79012.2
0.395
L
34
5.09
0.03
50
—
—
—


WNU41
79012.4
0.479
L
63
5.45
0.08
61
6.01
0.23
13


WNU41
79013.1
0.402
L
37
4.89
0.04
44
6.00
0.10
12


WNU38
76591.4
0.357
0.04
22
—
—
—
—
—
—


WNU38
76594.5
0.395
0.05
34
5.00
0.21
47
—
—
—


WNU38
76595.1
0.346
0.13
17
4.69
0.22
38
5.90
0.24
10


WNU35
75792.2
0.419
L
42
4.84
0.08
42
—
—
—


WNU35
75793.1
0.460
L
56
5.04
0.01
48
—
—
—


WNU35
75794.1
0.341
0.18
16
4.39
0.11
29
5.97
0.14
12


WNU31
75786.3
0.389
0.02
32
5.11
0.01
50
5.83
0.13
9


WNU31
75790.2
0.399
0.05
36
5.29
L
56
—
—
—


WNU31
75790.7
0.430
L
46
4.44
0.08
31
—
—
—


WNU20
78336.5
—
—
—
5.04
0.18
48
5.97
0.10
12


WNU20
78340.1
0.406
0.01
38
5.63
0.03
66
6.63
L
24


WNU20
78340.5
0.397
0.06
35
5.82
0.01
71
6.17
0.01
16


WNU17
76556.4
0.409
0.03
39
4.67
0.12
37
—
—
—


WNU17
76557.4
0.363
0.02
23
—
—
—
—
—
—


WNU17
76559.1
0.389
0.05
32
5.19
0.10
53
6.07
0.09
14


CONT.
—
0.294
—
—
3.40
—
—
5.34
—
—





Table 81.


“CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 82







Genes showing improved plant performance at 


standard nitrogen growth conditions (T1 generation)









Gene
Dry Weight [mg]
Fresh Weight [mg]













Name
Ave.
P-Val. 
% Incr.
Ave.
P-Val. 
% Incr.
















WNU1
7.73
0.17
48
119.6
0.10
64


CONT.
5.23
—
—
73.2
—
—





Table 82.


“CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 83







Genes showing improved plant performance at standard nitrogen 


growth conditions (T1 generation)











Leaf Area 
Roots Coverage 
Roots Length 



[cm2]
[cm2]
[cm]
















Gene

P-
%

P-
%

P-
%


Name
Ave.
Val.
Incr.
Ave.
Val.
Incr. 
Ave.
Val.
Incr.





WNU69
0.701
0.25
18
7.19
0.07
39
6.53
0.03
24


WNU12
—
—
—
—
—
—
5.64
0.28
 7


CONT.
0.592
—
—
5.18
—
—
5.28
—
—





Table 83: “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p−value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.






The genes listed in Table 84-85 improved plant relative growth rate (RGR of leaf area, root length and root coverage) when grown at standard nitrogen concentration levels. These genes produced plants that grew faster than control plants when grown under standard nitrogen growth conditions. Faster growth was observed when growth rate of leaf area, root length and root coverage was measured.







TABLE 84







Genes showing improved growth rate at standard nitrogen 


growth conditions (T2 generation)













RGR Of Leaf Area
RGR Of Roots Coverage
RGR Of Root Length





















%


%


%


Gene Name
Event #
Ave.
P-Val. 
Incr.
Ave.
P-Val. 
Incr.
Ave.
P-Val. 
Incr.





WNU91
76215.5
—
—
—
0.650
0.16
 34
—
—
—


WNU70
78102.7
0.0473
0.05
 34
0.706
0.09
 46
—
—
—


WNU70
78104.1
0.0468
0.03
 33
—
—
—
—
—
—


WNU70
78104.3
—
—
—
0.618
0.25
 28
—
—
—


WNU61
78014.1
0.0430
0.13
 22
0.636
0.17
 32
0.512
0.23
16


WNU61
78014.2
0.0583
L
 66
0.698
0.10
 44
—
—
—


WNU6
76542.5
0.0518
0.03
 47
0.921
L
 90
0.528
0.19
20


WNU6
76544.4
0.0410
0.20
 16
0.879
L
 82
0.527
0.16
20


WNU55
77632.3
0.0599
L
 70
0.736
0.02
 52
—
—
—


WNU55
77632.6
0.0581
L
 65
0.808
0.01
 67
—
—
—


WNU55
77634.1 
0.0428
0.12
 22
—
—
—
—
—
—


WNU51
79018.6
0.0462
0.04
 31
0.740
0.03
 53
0.562
0.05
28


WNU11
76397.2
0.0522
L
 48
0.807
0.01
 67
0.546
0.13
24


WNU105
77261.2 
0.0705
L
100
1.17
L
141
0.546 
0.08
24


WNU105
77261.4
0.0507
L
 44
0.710 
0.05
 47
—
—
—


WNU105
77263.4
0.0414 
0.24
 18
—
—
—
—
—
—


CONT.
—
0.0352
—
—
0.484
—
—
0.440
—
—


WNU99
77097.4
0.0393
0.08
 38
0.594 
0.05
 51
—
—
—


WNU99
77099.4
0.0422
0.02
 49
—
—
—
—
—
—


WNU99
77100.3
0.0398
0.03
 40
—
—
—
—
—
—


WNU98
77462.4 
0.0361
0.11
 27
0.567 
0.03
 44
0.504
0.17
15


WNU98
77463.13
0.0430
L
 51
0.495
0.22
 25
—
—
—


WNU97
77181.4 
0.0402 
0.02
 42
0.585 
0.04
 48
—
—
—


WNU97
77182.2 
0.0347
0.29
 22
—
—
—
—
—
—


WNU94
78108.3
0.0399
0.03
 40
0.623
L
 58
0.497
0.20
14


WNU94
78109.1 
0.0340 
0.22
 20
—
—
—
—
—
—


WNU94
78110.3
0.0415
0.02
 46
0.552
0.08
 40
—
—
—


WNU9
76612.1
0.0393
0.03
 38
0.651
L
 65
0.538
0.05
23


WNU9
76615.4
—
—
—
0.494
0.21
 25
—
—
—


WNU9
76615.6
0.0437
L
 54
0.674
L
 71
0.510 
0.14
17


WNU83
75821.8 
0.0444
L
 56
0.486
0.23
 23
—
—
—


WNU83
75823.10
0.0473
L
 66
0.717
L
 82
0.557 
0.02
27


WNU83
75824.4
—
—
—
0.486
0.25
 23
—
—
—


WNU81
78097.2
—
—
—
0.557
0.04
 41
0.546 
0.03
25


WNU81
78097.5
0.0453
L
 59
0.654
L
 66
0.523
0.15
19


WNU5
76044.2
0.0427
L
 50
0.767
L
 94
0.530
0.07
21


WNU5
76045.7 
0.0340
0.21
 20
—
—
—
—
—
—


WNU46
77021.3
0.0430
0.01
 51
—
—
—
—
—
—


WNU46
77022.1 
0.0357
0.22
 26
0.543 
0.08
 38
0.506 
0.21
16


WNU46
77024.3
0.0351
0.14
 24
0.524
0.09
 33
0.521
0.08
19


WNU41
79012.2
0.0387 
0.03
 36
0.595
0.02
 51
—
—
—


WNU41
79012.4
0.0451
L
 59
0.634
0.01
 61
—
—
—


WNU41
79013.1
0.0399 
0.02
 41
0.560
0.05
 42
—
—
—


WNU38
76591.4
0.0346 
0.18
 22
—
—
—
—
—
—


WNU38
76594.5
0.0400
0.02
 41
0.594
0.05
 51
0.516 
0.19
18


WNU38
76595.11 
0.0350 
0.15
 23
0.546
0.10
 38
—
—
—


WNU35
75792.2
0.0406 
0.01
 43
0.586 
0.03
 49
0.523 
0.10
19


WNU35
75793.1 
0.0457
L
 61
0.597
0.02
 51
—
—
—


WNU35
75794.1
—
—
—
0.508 
0.14
 29
—
—
—


WNU31
75786.3
0.0376
0.06
 32
0.608
L
 54
—
—
—


WNU31
75790.2 
0.0366
0.13
 29
0.628
L
 59
0.504
0.22
15


WNU31
75790.7
0.0409
0.01
 44
0.515 
0.12
 31
—
—
—


WNU20
78336.5
—
—
—
0.600
0.04
 52
0.508
0.16
16


WNU20
78340.1
0.0403
0.02
 42
0.649
L
 65
0.558
0.02
28


WNU20
78340.5
0.0388
0.06
 37
0.690
L
 75
0.494
0.22
13


WNU17
76556.4 
0.0396 
0.04
 39
0.537
0.10
 36
—
—
—


WNU17
76557.4 
0.0352
0.14
 24
—
—
—
0.509 
0.15
16


WNU17
76559.1
0.0383
0.06
 35
0.613 
0.02
 55
0.517 
0.14
18


CONT.
—
0.0284
—
—
0.394
—
—
0.437
—
—





Table 84: “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 85







Genes showing improved growth rate at standard nitrogen 


growth conditions (T1 generation)
















RGR Of Roots
RGR Of 











RGR Of Leaf Area
Coverage
Root Length
















Gene

P-
%

P-
%

P-
%


Name
Ave. 
Val.
Incr.
Ave. 
Val.
Incr.
Ave. 
Val.
Incr.





WNU69
0.0721
0.11
31
0.864 
0.02
43
0.672
L
33


WNU12
—
—
—
—
—
—
0.550 
0.23
 9


CONT.
0.0550
—
—
0.604
—
—
0.506
—
—





Table 85. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant.






Example 19
Evaluation of Transgenic Arabidopsis Nue, Yield and Plant Growth Rate Under Low or Normal Nitrogen Fertilization in Greenhouse Assay
Assay 1: Nitrogen Use Efficiency: Seed Yield, Plant Biomass and Plant Growth Rate at Limited and Optimal Nitrogen Concentration Under Greenhouse Conditions (Greenhouse-Seed Maturation)—
This assay follows seed yield production, the biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting (optimal) nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with 1⁄2 MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 3.6 mM KCl, 2 mM CaCl2 and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO3 with 1 mM KH2PO4, 1 mM MgSO4, 2 mM CaCl2 and microelements. All plants were grown in the greenhouse until mature seeds. Seeds were harvested, extracted and weighted. The remaining plant biomass (the above ground tissue) was also harvested, and weighted immediately or following drying in oven at 50° C. for 24 hours.
Each construct was validated at its T2 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter and the selectable marker was used as control.
The plants were analyzed for their overall size, growth rate, flowering, seed yield, 1,000-seed weight, dry matter and harvest index (HI-seed yield/dry matter). Transgenic plants performance was compared to control plants grown in parallel under identical growth conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.
The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.
Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.
The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubs were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.
An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which is developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, leaf blade area.
Vegetative growth rate: the relative growth rate (RGR) of leaf number [Formula VIII (described above)], rosette area [Formula IX (described above)], plot coverage [Formula XI (described above)] and harvest index [Formula XV (described above)] was calculated with the indicated formulas.
Seeds average weight—At the end of the experiment all seeds were collected. The seeds were scattered on a glass tray and a picture was taken. Using the digital analysis, the number of seeds in each sample was calculated.
Dry weight and seed yield—On about day 80 from sowing, the plants were harvested and left to dry at 30° C. in a drying chamber. The biomass and seed weight of each plot were measured and divided by the number of plants in each plot. Dry weight=total weight of the vegetative portion above ground (excluding roots) after drying at 30° C. in a drying chamber; Seed yield per plant=total seed weight per plant (gr). 1000 seed weight (the weight of 1000 seeds) (gr.).
The harvest index (HI) was calculated using Formula XV as described above.
Oil percentage in seeds—At the end of the experiment all seeds from each plot were collected. Seeds from 3 plots were mixed grounded and then mounted onto the extraction chamber. 210 ml of n-Hexane (Cat No. 080951 Biolab Ltd.) were used as the solvent. The extraction was performed for 30 hours at medium heat 50° C. Once the extraction has ended the n-Hexane was evaporated using the evaporator at 35° C. and vacuum conditions. The process was repeated twice. The information gained from the Soxhlet extractor (Soxhlet, F. Die gewichtsanalytische Bestimmung des Milchfettes, Polytechnisches J. (Dingier's) 1879, 232, 461) was used to create a calibration curve for the Low Resonance NMR. The content of oil of all seed samples was determined using the Low Resonance NMR (MARAN Ultra-Oxford Instrument) and its MultiQuant software package
Silique length analysis—On day 50 from sowing, 30 siliques from different plants in each plot were sampled in block A. The chosen siliques were green-yellow in color and were collected from the bottom parts of a grown plant's stem. A digital photograph was taken to determine silique's length.
Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).
Tables 86-95 summarize the observed phenotypes of transgenic plants exogenously expressing the gene constructs using the greenhouse seed maturation (GH-SM) assays under low nitrogen (Tables 86-90) or normal (standard) nitrogen (Tables 91-95) growth conditions. The evaluation of each gene was performed by testing the performance of different number of events. Event with p-value<0.1 was considered statistically significant.







TABLE 86







Genes showing improved plant performance at low Nitrogen growth 


conditions under regulation of At6669 promoter













Dry Weight

Inflorescence




[mg]
Flowering
Emergence




















P-



%

P-



Gene Name
Event #
Ave. 
Val. 
% Incr.
Ave. 
P-Val.
Incr.
Ave.
Val.
% Incr.





WNU30
76575.3
—
—
—
16.4
0.27
−3
12.6
0.14
−3


WNU101
75778.9
382.5
0.11
 4
—
—
—
—
—
—


CONT.
—
366.6
—
—
17.0
—
—
13.0
—
—


WNU85
76838.1
445.4
0.17
19
—
—
—
—
—
—


WNU85
76840.5
419.2
0.28
12
—
—
—
—
—
—


WNU82
75806.2
412.5
0.26
10
—
—
—
—
—
—


WNU82
75806.4
415.6
0.01
11
—
—
—
—
—
—


WNU82
75807.5
427.1
0.08
14
—
—
—
—
—
—


WNU82
75807.6
430.4
0.12
15
—
—
—
—
—
—


WNU82
75809.3 
485.0
0.02
29
—
—
—
—
—
—


WNU80
76403.8
397.5
0.13
 6
—
—
—
—
—
—


WNU68
76831.4
411.7
0.04
10
—
—
—
—
—
—


WNU68
76832.3 
453.5
0.02
21
—
—
—
—
—
—


WNU68
76835.2
420.4
0.07
12
—
—
—
—
—
—


WNU56
75801.6
402.9
0.08
 8
—
—
—
—
—
—


WNU56
75803.7
—
—
—
17.3 
0.19
−3
13.2
0.26
−2


WNU56
75804.3
435.3
L
16
—
—
—
—
—
—


CONT.
—
374.7
—
—
17.8
—
—
13.5
—
—


WNU77
78016.1 
491.1
0.12
16
—
—
—
—
—
—


WNU77
78016.3
470.0
0.23
11
—
—
—
—
—
—


WNU77
78016.6
466.2
0.12
10
—
—
—
—
—
—


WNU77
78016.8
499.6
0.07
18
22.5
0.16
−1
17.6
0.04
−2


WNU77
78016.9
805.9
0.10
91
—
—
—
—
—
—


WNU77
78017.1 
477.1
0.20
13
22.5
0.16
−1
—
—
—


WNU77
78018.10
—
—
—
—
—
—
17.1
0.10
−4


WNU65
78006.10 
481.0
0.03
14
—
—
—
—
—
—


WNU65
78006.4 
446.5
0.22
 6
—
—
—
—
—
—


WNU65
78006.7
566.6
0.21
34
—
—
—
—
—
—


WNU65
78006.8
—
—
—
21.8
0.13 
−4
17.0
0.11
−5


WNU65
78007.11
470.4
0.06
11
—
—
—
—
—
—


WNU65
78007.14 
473.4
0.05
12
—
—
—
—
—
—


WNU63
76766.5 
454.6
0.18
 8
—
—
—
—
—
—


WNU63
76768.2
—
—
—
22.2 
0.26
−2
—
—
—


WNU63
76768.5
497.9
0.05
18
—
—
—
17.6
0.27
−2


WNU63
76768.9
473.4
0.20
12
—
—
—
—
—
—


WNU63
76770.1
485.2
0.26
15
—
—
—
—
—
—


WNU50
78114.2 
531.3
L
26
—
—
—
—
—
—


WNU50
78114.6
—
—
—
22.5 
0.16
−1
—
—
—


WNU50
78130.2
482.0 
L
14
22.5 
0.16
−1
17.7
0.24
−1


WNU50
78130.8
472.4
0.14
12
—
—
—
—
—
—


WNU19
76567.1
488.8
0.07
16
—
—
—
—
—
—


WNU19
76568.2
464.4
0.16
10
—
—
—
17.2
0.12
−4


WNU19
76569.2 
469.0
0.17
11
—
—
—
—
—
—


WNU19
76570.3
—
—
—
22.2 
0.26
−2
16.8
0.07
−6


WNU16
77166.4
605.1
0.01
43
21.8 
L
−4
17.4
L
−3


WNU16
77167.1
457.0
0.14
 8
—
—
—
—
—
—


WNU16
77167.2 
526.3
0.05
25
21.8
0.13
−4
17.2
0.20
−4


WNU16
77167.3
—
—
—
22.2
0.26 
−2
17.3
0.28
−3


WNU16
77167.5
—
—
—
22.5
0.16
−1
16.6
L
−7


WNU16
77169.1
504.6
0.02
19
22.0 
0.11
−3
16.8
0.07
−6


WNU16
77169.2
—
—
—
22.0
0.11 
−3
16.6 
L
−7


WNU16
77169.5
—
—
—
—
—
—
17.1
0.13
−4


CONT.
—
422.5 
—
—
22.7
—
—
17.9
—
—





Table 86: “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—pvalue;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918). It should be noted that a negative increment (in percentages) when found in flowering or inflorescence emergence indicates potential for drought avoidance.













TABLE 87







Genes showing improved plant performance at Low N growth 


conditions under regulation of At6669 promoter













Leaf Blade Area

Plot Coverage 




[cm2]
Leaf Number
[cm2]




















P-


P-


P-



Gene Name
Event #
Ave. 
Val. 
% Incr.
Ave. 
Val. 
% Incr.
Ave.
Val. 
% Incr.





WNU30
76572.4 
1.20
L
21
—
—
—
63.9 
L
16


WNU30
76574.1
1.16 
0.08
16
—
—
—
63.8
0.09
16


WNU30
76575.3
1.15
0.08
16
—
—
—
60.9
0.02
11


WNU101
75778.2
1.11
0.04
12
—
—
—
60.7
0.13
10


WNU101
75778.3
1.10
0.19
10
—
—
—
—
—
—


WNU101
75778.4
1.12
0.15
12
—
—
—
63.2
0.14
15


WNU101
75778.9
—
—
—
—
—
—
57.5
0.29
 5


WNU101
75780.1
—
—
—
—
—
—
62.9
0.20
14


CONT.
—
0.995
—
—
 9.75
—
—
55.1 
—
—


WNU85
76836.2 
1.50 
0.22
 9
—
—
—
88.4
0.19
11


WNU85
76837.7
1.60 
0.03
16
—
—
—
90.0
0.15
13


WNU82
75806.2
1.49 
0.13
 8
—
—
—
84.6
0.24
 6


WNU82
75809.3 
1.49 
0.12
 8
—
—
—
86.9
0.09
 9


WNU80
76404.3
—
—
—
—
—
—
89.9
0.23
13


WNU80
76405.5
1.56 
0.02
13
—
—
—
88.1
0.05
11


WNU68
76831.4
1.48
0.23
 7
—
—
—
85.5
0.17
 8


WNU68
76833.7
1.63 
0.02
18
—
—
—
96.9
0.04
22


WNU68
76835.2 
1.47
0.14
 6
—
—
—
87.2
0.06
10


WNU56
75801.10
1.50
0.16
 9
—
—
—
—
—
—


WNU56
75803.9
—
—
—
11.6 
0.28
2
—
—
—


CONT.
—
1.38
—
—
11.4
—
—
79.6 
—
—


WNU77
78016.3
1.12
0.20
21
—
—
—
64.2
0.22
20


WNU77
78016.6
0.974
0.12
 6
—
—
—
—
—
—


WNU77
78016.8 
1.17 
0.04
27
10.4
L
4
69.6
L
30


WNU77
78017.1
1.07
0.17
16
—
—
—
62.2
0.25
16


WNU77
78018.10
1.10
L
19
10.5 
0.18
6
64.3
L
20


WNU65
78006.8 
0.970
0.10
 5
10.2 
0.14
3
57.1
0.05
 7


WNU50
78114.5
1.01
0.09
 9
—
—
—
56.9
0.23
 7


WNU50
78130.2 
1.02
0.27
11
—
—
—
—
—
—


WNU19
76569.3
—
—
—
10.2
0.24
2
—
—
—


WNU16
77167.5 
1.03
0.22
12
—
—
—
—
—
—


WNU16
77169.1
1.06
0.01
15
10.6
0.03
6
62.3
L
17


WNU16
77169.2 
1.04
0.07
13
—
—
—
61.8 
L
16


CONT.
—
0.922
—
—
 9.97
—
—
53.4 
—
—





Table 87. “CONT.”—Control;


“Ave.”—Average;


“% Incr ” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 88







Genes showing improved plant performance at low Nitrogen 


growth conditions under regulation of At6669 promoter













RGR Of Leaf

RGR Of Rosette




Number
RGR Of Plot Coverage
Diameter




















P-


P-
% 

P-



Gene Name
Event #
Ave. 
Val. 
% Incr.
Ave.
Val. 
Incr.
Ave.
Val.
% Incr.





WNU30
76572.4
—
—
—
10.1
0.20
11
0.437
0.29
 5


WNU30
76574.1
—
—
—
10.2
0.20
11
0.446
0.15
 7


WNU101
75778.4 
0.732
0.24
 9
 9.99
0.28
 9
0.452
0.09
 9


WNU101
75780.1
—
—
—
10.2
0.20
11
0.464
0.04
12


CONT.
—
0.671 
—
—
 9.14
—
—
0.415
—
—


WNU85
76836.1 
0.856
0.13
13
—
—
—
—
—
—


WNU85
76836.2
—
—
—
12.7
0.23
12
0.508
0.29
 9


WNU85
76837.7
—
—
—
12.6
0.24
12
0.515
0.22
11


WNU82
75809.3
—
—
—
12.6
0.27
11
0.511
0.25
10


WNU80
76404.3
0.829
0.27
 9
13.2
0.10
17
—
—
—


WNU80
76405.5
—
—
—
—
—
—
0.538
0.14
16


WNU68
76831.4
—
—
—
—
—
—
0.513
0.24
10


WNU68
76833.7
—
—
—
13.8
0.03
22
0.538 
0.07 
16


WNU68
76835.2
—
—
—
12.5
0.30
10
0.511
0.25
10


WNU56
75801.10
—
—
—
—
—
—
0.525
0.14
13


WNU56
75801.6
—
—
—
—
—
—
0.511
0.26 
10


WNU56
75803.9
0.825
0.30
 9
—
—
—
—
—
—


WNU56
75804.3
0.826
0.27
 9
—
—
—
—
—
—


CONT.
—
0.757
—
—
11.3
—
—
0.465
—
—


WNU77
78016.3
0.734
0.29
 7
 9.70
0.01
24
0.436
0.02
17


WNU77
78016.6
—
—
—
 8.54
0.27
 9
0.413 
0.10
11


WNU77
78016.8
—
—
—
10.5
L
34
0.444
L
19


WNU77
78017.1
—
—
—
 9.30
0.03
19
0.414
0.12
11


WNU77
78018.10 
—
—
—
 9.40
0.01
20
0.412
0.11 
11


WNU65
78007.3
0.738
0.23
 7
—
—
—
—
—
—


WNU63
76766.5
—
—
—
—
—
—
0.399
0.29
 7


WNU63
76768.8
—
—
—
—
—
—
0.407
0.20
 9


WNU50
78114.5
—
—
—
—
—
—
0.411
0.12
10


WNU50
78130.1
—
—
—
—
—
—
0.406
0.19
 9


WNU50
78130.2
—
—
—
 8.81
0.17
13
—
—
—


WNU19
76568.2
—
—
—
—
—
—
0.407
0.30
 9


WNU19
76570.3
—
—
—
 8.75
0.21
12
—
—
—


WNU16
77167.3
—
—
—
 9.43
0.07
20
—
—
—


WNU16
77167.5
—
—
—
 8.75
0.18
12
0.401
0.28 
 8


WNU16
77169.1
—
—
—
 8.93
0.08
14
0.402 
0.24
 8


WNU16
77169.2
—
—
—
 8.84
0.11
13
—
—
—


CONT.
—
0.689
—
—
 7.83
—
—
0.373
—
—





Table 88. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01 p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 89







Genes showing improved plant performance at low Nitrogen 


growth conditions under regulation of At6669 promoter


















Rosette Area 
Rosette 













Harvest Index
[cm2]
Diameter [cm]




















P-


P-


P-



Gene Name
Event #
Ave.
Val.
% Incr.
Ave.
Val.
% Incr.
Ave.
Val.
% Incr.





WNU30
76572.4
—
—
—
 7.99
L
16
4.62
L
 8


WNU30
76574.1
—
—
—
 7.98
0.09
16
4.70
0.06
 9


WNU30
76575.3
0.395
0.18
14
 7.61
0.02
11
4.56
0.01
 6


WNU101
75778.2
0.374
0.12
 8
 7.58
0.13
10
4.52
0.13
 5


WNU101
75778.4
—
—
—
 7.90
0.14
15
4.73
0.10
10


WNU101
75778.9
—
—
—
 7.19
0.29
 5
—
—
—


WNU101
75780.1
—
—
—
 7.87
0.20
14
4.82
0.17
12


WNU101
75780.2
0.384
0.03
11
—
—
—
—
—
—


CONT.
—
0.347
—
—
 6.88
—
—
4.29
—
—


WNU85
76836.1
0.418
L
19
—
—
—
—
—
—


WNU85
76836.2
0.375
0.07
 6
11.1
0.19
11
5.50
0.03
 9


WNU85
76837.2
0.399
0.08
13
—
—
—
—
—
—


WNU85
76837.7
0.383
0.02
 9
11.2
0.15
13
5.54
0.07
 9


WNU85
76838.2
0.389
0.03
10
—
—
—
—
—
—


WNU85
76839.1
0.394
0.14
12
—
—
—
—
—
—


WNU85
76840.1
0.377
0.26
 7
—
—
—
—
—
—


WNU82
75806.2
—
—
—
10.6
0.24
 6
5.35
0.19
 6


WNU82
75806.3
0.378
0.02
 7
—
—
—
—
—
—


WNU82
75809.3
—
—
—
10.9
0.09
 9
5.42
0.13
 7


WNU82
75809.4
—
—
—
11.0
0.25
11
5.36
0.27
 6


WNU80
76403.1
0.383
0.22
 9
—
—
—
—
—
—


WNU80
76403.8
0.377
0.04
 7
—
—
—
—
—
—


WNU80
76404.3
0.384
0.24
 9
11.2
0.23
13
5.44
0.15
 7


WNU80
76404.5
0.383
0.17
 9
—
—
—
—
—
—


WNU80
76405.5
—
—
—
11.0
0.05
11
5.53
0.08
 9


WNU68
76831.2
—
—
—
—
—
—
5.42
0.19
 7


WNU68
76831.4
—
—
—
10.7
0.17
 8
5.48
0.06
 8


WNU68
76833.10
0.373
0.14
 6
—
—
—
—
—
—


WNU68
76833.7
0.387
0.29
10
12.1
0.04
22
5.73
0.02
13


WNU68
76835.2
—
—
—
10.9
0.06
10
5.46
0.02
 8


WNU56
75801.10
—
—
—
—
—
—
5.44
0.12
 7


WNU56
75801.9
0.382
0.11
 8
—
—
—
—
—
—


WNU56
75803.7
—
—
—
—
—
—
5.28
0.24
 4


WNU56
75804.1
0.386
0.25
10
—
—
—
—
—
—


CONT.
—
0.352
—
—
 9.94
—
—
5.07
—
—


WNU77
78016.3
—
—
—
 8.02
0.22
20
4.76
0.14
12


WNU77
78016.5
0.401
0.28
18
—
—
—
—
—
—


WNU77
78016.6
—
—
—
—
—
—
4.54
0.01
 6


WNU77
78016.8
—
—
—
 8.70
L
30
4.91
L
15


WNU77
78017.1
—
—
—
 7.77
0.25
16
4.64
0.19
 9


WNU77
78018.10
—
—
—
 8.03
L
20
4.70
L
10


WNU77
78018.4
0.363
0.26
 7
—
—
—
—
—
—


WNU65
78006.8
—
—
—
 7.14
0.05
 7
4.44
0.04
 4


WNU65
78007.11
0.370
0.13
 9
—
—
—
—
—
—


WNU63
76766.5
0.416
0.09
22
—
—
—
—
—
—


WNU63
76766.7
0.384
L
13
—
—
—
—
—
—


WNU63
76768.1
0.402
0.05
18
—
—
—
—
—
—


WNU63
76768.2
0.397
0.20
17
—
—
—
—
—
—


WNU50
78114.5
—
—
—
 7.12
0.23
 7
4.51
0.01
 6


WNU50
78130.1
0.403
0.27
18
—
—
—
—
—
—


WNU50
78130.4
0.359
0.28
 5
—
—
—
—
—
—


WNU50
78144.2
0.372
0.11
 9
—
—
—
—
—
—


WNU19
76567.1
0.394
0.24
16
—
—
—
—
—
—


WNU19
76568.3
0.387
0.14
14
—
—
—
—
—
—


WNU19
76569.3
0.403
L
18
—
—
—
—
—
—


WNU16
77166.3
0.437
0.11
28
—
—
—
—
—
—


WNU16
77166.4
—
—
—
—
—
—
4.48
0.24
 5


WNU16
77168.2
0.395
0.27
16
—
—
—
—
—
—


WNU16
77169.1
—
—
—
 7.79
L
17
4.66
L
 9


WNU16
77169.2
0.423
L
24
 7.72
L
16
4.56
L
 7


CONT.
—
0.340
—
—
 6.67
—
—
4.27
—
—





Table 89. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 90







Genes showing improved plant performance at low Nitrogen 


growth conditions under regulation of At6669 promoter












Seed Yield 
1000 Seed 




[mg]
Weight [mg]














Gene 


P-
% 

P-
% 


Name
Event #
Ave.
Val.
Incr. 
Ave.
Val.
Incr.





WNU30
76572.1
140.7
0.19
11
—
—
—


WNU30
76575.3
140.0
0.19
11
—
—
—


WNU101
75780.2
137.6
0.17
 9
—
—
—


CONT.
—
126.5
—
—
19.9
—
—


WNU85
76836.2
141.1
0.29
 7
—
—
—


WNU85
76837.2
154.8
0.09
17
—
—
—


WNU85
76838.1
—
—
—
23.2
0.04
15


WNU85
76840.5
—
—
—
23.7
0.17
18


WNU82
75806.3 
147.8
0.13
12
—
—
—


WNU82
75806.4
—
—
—
22.2
L
11


WNU82
75807.5
155.9
0.03
18
—
—
—


WNU80
76403.1
144.0
0.22
 9
—
—
—


WNU80
76403.2
—
—
—
21.8
0.07
 8


WNU80
76403.8 
149.8
0.02
14
—
—
—


WNU80
76404.3
148.9
0.12
13
—
—
—


WNU80
76404.5
141.9
0.20
 8
—
—
—


WNU80
76405.6
—
—
—
22.3
0.24
11


WNU68
76831.2
146.2
0.19
11
—
—
—


WNU68
76831.4 
145.6
0.20
10
—
—
—


WNU68
76832.3
—
—
—
22.6
0.16
13


WNU68
76833.7 
146.7
0.14
11
—
—
—


WNU68
76834.1 
141.6
0.25
 7
—
—
—


WNU68
76834.3
—
—
—
20.8
0.21
 4


WNU68
76835.2
151.0
0.22
15
—
—
—


WNU56
75801.10
145.6
0.21
10
—
—
—


WNU56
75801.6
147.1
0.07
12
—
—
—


WNU56
75801.8 
151.3
0.26
15
—
—
—


WNU56
75801.9
146.8
0.21
11
—
—
—


WNU56
75803.7
—
—
—
22.2
0.20
11


WNU56
75804.1
147.2
0.12
12
—
—
—


CONT.
—
131.8
—
—
20.1
—
—


WNU77
78016.1
182.5
L
27
—
—
—


WNU77
78016.3
163.6
0.03
14
—
—
—


WNU77
78016.5
175.8
0.29
22
—
—
—


WNU77
78016.6
174.1
0.25
21
—
—
—


WNU77
78016.8
—
—
—
21.5
0.08
 7


WNU77
78016.9
—
—
—
25.2
0.06
26


WNU77
78017.1
168.2
0.02
17
—
—
—


WNU77
78018.10
—
—
—
21.9
L
 9


WNU65
78006.4 
168.9
0.29
17
—
—
—


WNU65
78006.6
—
—
—
21.6
0.07
 8


WNU65
78006.7
—
—
—
21.8
0.17
 9


WNU65
78007.11
174.2
0.07
21
—
—
—


WNU63
76766.5
188.8
0.02
31
—
—
—


WNU63
76766.7
165.0
0.28
15
—
—
—


WNU63
76768.5
—
—
—
21.8
0.06
 9


WNU63
76768.8
176.6
L
23
—
—
—


WNU63
76770.1
185.3
0.21
29
—
—
—


WNU50
78114.2
—
—
—
22.0
0.07
10


WNU50
78114.6
—
—
—
21.5
L
 8


WNU50
78130.1 
169.3
0.19
18
—
—
—


WNU50
78130.2
—
—
—
21.0
0.22
 5


WNU50
78130.8 
156.7
0.14
 9
—
—
—


WNU50
78144.2
155.1
0.29
 8
—
—
—


WNU19
76567.1
191.5
0.02
33
—
—
—


WNU19
76568.2
—
—
—
22.2
0.01
11


WNU19
76568.3
176.1
0.24
22
—
—
—


WNU19
76569.2
—
—
—
23.0
L
15


WNU19
76569.3
154.4
0.25
 7
—
—
—


WNU19
76569.4
—
—
—
20.1
0.20
 1


WNU19
76570.3
—
—
—
21.8
0.09
 9


WNU16
77166.3
175.5
0.12
22
—
—
—


WNU16
77166.4
—
—
—
23.0
0.03
15


WNU16
77167.1
182.0 
0.20
27
—
—
—


WNU16
77167.2
—
—
—
22.7
0.12
14


WNU16
77167.3
—
—
—
22.1
0.03
11


WNU16
77167.5
—
—
—
20.3
0.10
 1


WNU16
77169.1
—
—
—
22.3
0.23
12


WNU16
77169.2
179.7 
0.19
25
—
—
—


CONT.
—
143.8
—
—
20.0
—
—





Table 90. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 91







Genes showing improved plant performance at Normal growth 


conditions under regulation of At6669 promoter























Inflorescence













Dry Weight [mg]
Flowering
Emergence




















P-
%

P-
%

P-



Gene Name
Event #
Ave.
Val. 
Incr.
Ave. 
Val.
Incr. 
Ave. 
Val. 
% Incr.




















WNU30
76575.1
—
—
—
16.8
0.15
−3
12.3 
0.02
−6


WNU101
75778.8
721.7 
0.10
9
—
—
—
—
—
—


CONT.
—
659.7
—
—
17.4
—
—
13.1
—
—


WNU85
76838.1
—
—
—
—
—
—
13.3
0.22
−4


WNU85
76840.5 
860.4
0.09
13
—
—
—
—
—
—


WNU68
76831.4 
799.2 
0.25
5
—
—
—
—
—
—


WNU68
76833.10
807.0
0.29
6
—
—
—
—
—
—


WNU56
75801.8
—
—
—
17.3
0.08
−7
12.8
L
−7


WNU56
75803.7
—
—
—
17.9 
L
−3
—
—
—


WNU56
75804.1
—
—
—
18.0 
0.16
−3
—
—
—


CONT.
—
758.9
—
—
18.5
—
—
13.8
—
—


WNU77
78016.8
854.2 
0.05
5
22.6 
0.03
−3
17.3 
0.20
−4


WNU77
78016.9 
1234.4
L
52
—
—
—
17.3
0.27
−3


WNU77
78018.10
897.9
0.01
11
—
—
—
17.3 
0.24
−4


WNU65
78006.6
884.9 
0.23
9
—
—
—
—
—
—


WNU65
78006.7
985.7 
0.03
21
—
—
—
—
—
—


WNU65
78006.8
—
—
—
—
—
—
17.0 
0.04
−5


WNU63
76768.2
—
—
—
22.6 
0.03
−3
16.8 
0.02
−7


WNU63
76768.8
—
—
—
22.6 
0.04
−3
16.6
L
−8


WNU50
78114.2
937.1
L
15
—
—
—
—
—
—


WNU50
78114.6 
873.8
0.04
8
—
—
—
—
—
—


WNU50
78130.2
911.7 
0.27
12
—
—
—
—
—
—


WNU19
76567.1
—
—
—
22.8
0.30
−2
—
—
—


WNU19
76568.2
—
—
—
21.8
L
−6
16.8
0.06
−6


WNU19
76569.2
—
—
—
22.8
0.30
−2
17.5 
0.02
−2


WNU19
76569.3
—
—
—
22.5
L
−3
17.4
0.03
−3


WNU19
76569.4
866.1
0.22
7
—
—
—
—
—
—


WNU19
76570.3
935.2
0.05
15
—
—
—
17.0 
0.05
−5


WNU19
76570.7
—
—
—
22.6
0.03
−3
17.6
0.23 
−2


WNU16
77166.4
1104.9
0.05
36
22.1 
0.07
−5
16.7 
L
−7


WNU16
77167.2
939.5
0.04
16
22.0
L
−5
16.1 
0.02
−10


WNU16
77167.3
942.6 
0.01
16
22.6
0.04
−3
17.2 
0.10 
−4


WNU16
77169.1
904.9
0.18
12
—
—
—
17.3
0.15
−3


WNU16
77169.2
863.9 
0.21
6
22.2
0.04
−5
16.5
L
−8


WNU16
77169.5
—
—
—
22.5
0.15
−3
—
—
—


CONT.
—
811.5
—
—
23.3
—
—
17.9
—
—





Table 91. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 92







Genes showing improved plant performance at Normal growth 


conditions under regulation of At6669 promoter













Leaf Blade Area [cm2]
Leaf Number
Plot Coverage [cm2]

















Gene Name
Event #
Ave. 
P-Val. 
% Incr.
Ave. 
P-Val.
% Incr. 
Ave.
P-Val. 
% Incr.





WNU30
76572.1
1.15 
0.22
 7
—
—
—
—
—
—


WNU30
76575.1 
1.20
0.05
12
—
—
—
67.5
0.06
10


WNU30
76575.3 
1.19
0.27
10
—
—
—
—
—
—


WNU101
75778.5
1.18 
0.08
10
—
—
—
—
—
—


WNU101
75778.8
—
—
—
10.2 
0.24
 3
—
—
—


WNU101
75780.1
—
—
—
10.2 
0.21
 3
—
—
—


CONT.
—
1.07
—
—
 9.91
—
—
61.1
—
—


WNU85
76836.1
1.62
0.02
13
11.7
0.29
 4
98.4
0.04
16


WNU85
76836.2
1.57 
0.06
10
11.9
0.15
 6
94.5
0.04
11


WNU85
76840.5
1.57 
0.10
10
—
—
—
93.3
0.08
10


WNU82
75806.4
1.57
0.21
10
—
—
—
—
—
—


WNU82
75807.6
—
—
—
11.8 
0.23
 4
—
—
—


WNU82
75809.4
—
—
—
11.7 
0.12
 3
—
—
—


WNU80
76404.3 
1.50
0.29
 5
—
—
—
—
—
—


WNU68
76833.7 
1.55 
0.10
 8
—
—
—
91.8
0.23
 8


WNU56
75801.10
1.57 
0.05
10
—
—
—
—
—
—


WNU56
75801.9
1.56 
0.16
 9
—
—
—
90.5
0.27
 7


WNU56
75803.7 
1.57
0.12
 9
—
—
—
94.2
0.08
11


WNU56
75804.1
1.59 
0.06
11
—
—
—
92.0
0.27
 9


CONT.
—
1.43
—
—
11.3
—
—
84.8
—
—


WNU77
78016.8
1.17
0.20
16
10.3 
0.28
 4
66.2
0.28
16


WNU63
76768.5
—
—
—
10.4
0.25
 5
—
—
—


WNU63
76768.8
1.12
0.20
11
10.2
0.25
 4
69.0
0.10
20


WNU19
76568.2
1.10 
0.06
 9
—
—
—
63.3
0.10
11


WNU19
76569.2
—
—
—
10.1
0.21
 2
—
—
—


WNU19
76570.3 
1.10 
0.24
 9
10.4
L
 5
65.2
0.02
14


WNU19
76570.7
—
—
—
10.5
0.02
 6
—
—
—


WNU16
77167.2
—
—
—
10.7 
0.19
 8
67.0
0.22
17


WNU16
77169.2
—
—
—
10.9 
0.05
10
68.1
0.22
19


CONT.
—
1.01
—
—
 9.89
—
—
57.2
—
—





Table 92. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 93







Genes showing improved plant performance at Normal growth 


conditions under regulation of At6669 promoter















RGR Of Rosette




RGR Of Leaf Number
RGR Of Plot Coverage [cm2/day]
Diameter [cm/day]

















Gene


P-
%

P-
%

P-
%


Name
Event #
Ave.
Val.
Incr. 
Ave.
Val.
Incr. 
Ave.
Val.
Incr.





WNU101
75780.1
—
—
—
—
—
—
0.520
0.22
 7


CONT.
—
0.681
—
—
11.1
—
—
0.485
—
—


WNU85
76836.1
—
—
—
14.7
0.19
13
0.594
0.26
 9


CONT.
—
—
—
—
13.0
—
—
0.543
—
—


WNU77
78016.8
—
—
—
 9.76
0.20
14
—
—
—


WNU77
78018.10
—
—
—
 9.99
0.19
17
—
—
—


WNU77
78018.9
0.735 
0.17
12
—
—
—
—
—
—


WNU65
78006.8
—
—
—
10.1
0.14
18
—
—
—


WNU63
76768.5
0.723 
0.27
10
—
—
—
—
—
—


WNU63
76768.8
—
—
—
10.1
0.10
18
0.460
0.14
12


WNU19
76568.2
—
—
—
 9.63
0.23
13
—
—
—


WNU19
76570.3
—
—
—
 9.54
0.27
12
—
—
— 


WNU19
76570.7
0.733
0.19
12
—
—
—
—
—
—


WNU16
77167.2
0.730
0.20
11
 9.82
0.18
15
—
—
—


WNU16
77167.5
0.729 
0.21
11
—
—
—
—
—
—


WNU16
77169.2
0.726
0.24
11
 9.83
0.18
15
—
—
—


CONT.
—
0.656
—
—
 8.54
—
—
0.410
—
—





Table 93. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 94







Genes showing improved plant performance at Normal growth 


conditions under regulation of At6669 promoter













Harvest Index
Rosette Area [cm2]
Rosette Diameter [cm]

















Gene Name
Event #
Ave.
P-Val.
% Incr.
Ave.
P-Val.
% Incr.
Ave.
P-Val.
% Incr.




















WNU30
76572.5
0.476
0.11
12
—
—
—
—
—
—


WNU30
76574.1
0.466
0.10
9
—
—
—
—
—
—


WNU30
76575.1
—
—
—
8.44
0.06
10
4.83
0.08
5


WNU30
76575.3
0.457
0.08
7
—
—
—
—
—
—


WNU101
75778.2
0.463
0.15
8
—
—
—
—
—
—


WNU101
75778.3
0.459
0.19
7
—
—
—
—
—
—


WNU101
75780.1
—
—
—
—
—
—
4.96
0.09
8


CONT.
—
0.427
—
—
7.64
—
—
4.60
—
—


WNU85
76836.1
—
—
—
12.3
0.04
16
5.91
0.03
9


WNU85
76836.2
—
—
—
11.8
0.04
11
5.75
0.08
6


WNU85
76837.7
0.421
0.15
12
—
—
—
—
—
—


WNU85
76840.5
—
—
—
11.7
0.08
10
5.88
0.02
8


WNU82
75806.2
0.406
0.13
8
—
—
—
—
—
—


WNU80
76403.1
0.433
0.22
15
—
—
—
—
—
—


WNU80
76404.3
0.431
0.05
14
—
—
—
5.66
0.21
4


WNU68
76831.4
0.400
0.03
6
—
—
—
—
—
—


WNU68
76833.7
—
—
—
11.5
0.23
8
5.71
0.12
5


WNU56
75801.10
—
—
—
—
—
—
5.83
0.03
7


WNU56
75801.8
0.395
0.14
5
—
—
—
—
—
—


WNU56
75801.9
0.412
0.04
9
11.3
0.27
7
5.64
0.30
4


WNU56
75803.1
0.468
0.23
24
—
—
—
—
—
—


WNU56
75803.7
—
—
—
11.8
0.08
11
5.69
0.16
5


WNU56
75804.1
—
—
—
11.5
0.27
9
5.72
0.26
5


CONT.
—
0.377
—
—
10.6
—
—
5.44
—
—


WNU77
78016.8
—
—
—
—
—
—
4.80
0.27
7


WNU63
76766.5
0.471
0.07
4
—
—
—
—
—
—


WNU63
76768.8
—
—
—
8.62
0.11
19
4.99
0.05
11


WNU50
78130.1
0.464
0.18
3
—
—
—
—
—
—


WNU50
78130.8
0.499
L
11
—
—
—
—
—
—


WNU19
76568.1
0.492
L
9
—
—
—
—
—
—


WNU19
76568.2
—
—
—
7.91
0.13
9
4.84
L
8


WNU19
76569.3
0.477
0.21
6
—
—
—
—
—
—


WNU19
76570.3
—
—
—
8.34
0.06
16
4.85
0.16
8


WNU16
77167.2
—
—
—
8.38
0.24
16
—
—
—


WNU16
77168.2
0.472
0.03
5
—
—
—
—
—
—


WNU16
77169.2
—
—
—
8.51
0.24
18
—
—
—


CONT.
—
0.451
—
—
7.22
—
—
4.49
—
—





Table 94. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).













TABLE 95







Genes showing improved plant performance at Normal 


growth conditions under regulation of At6669 promoter












Seed Yield 
1000 Seed 




[mg]
Weight [mg]














Gene 


P-
% 

P-
% 


Name
Event #
Ave.
Val.
Incr.
Ave. 
Val.
Incr.

















WNU30
76572.5
328.7
0.16
17
—
—
—


WNU30
76574.1
293.5
0.07
4
—
—
—


WNU30
76574.2
293.4
0.30
4
—
—
—


WNU101
75777.3
304.4
L
8
21.2
0.16
2


WNU101
75778.2
—
—
—
22.7
L
9


WNU101
75778.3
301.2
0.18
7
—
—
—


CONT.
—
281.3
—
—
20.8
—
—


WNU85
76840.1
—
—
—
20.1
0.13
3


WNU85
76840.5 
317.6
L
12
21.8
0.11
11


WNU82
75806.4
—
—
—
23.9
0.03
22


WNU82
75807.5
—
—
—
20.3
0.09
4


WNU82
75807.6
—
—
—
21.9
L
12


WNU82
75808.6
—
—
—
20.5
0.13
5


WNU82
75809.3
—
—
—
21.5
0.03
10


WNU80
76403.2
—
—
—
24.0
L
23


WNU80
76404.3
—
—
—
20.2
0.25
3


WNU80
76405.6
—
—
—
23.6
0.02
21


WNU68
76831.4
319.2
L
12
—
—
—


WNU68
76832.1
—
—
—
20.8
0.26
6


WNU68
76832.3
—
—
—
22.7
0.08
16


WNU68
76833.10
320.8
0.04
13
—
—
—


WNU56
75801.1
—
—
—
20.9
0.08
7


WNU56
75803.7
—
—
—
21.7
0.17
11


CONT.
—
284.7
—
—
19.6
—
—


WNU77
78016.8
—
—
—
23.3
0.07
11


WNU77
78016.9
—
—
—
29.4
0.03
40


WNU77
78018.10
—
—
—
24.3
0.11
15


WNU65
78006.6
—
—
—
23.4
0.05
11


WNU65
78006.7
—
—
—
23.4
0.20
11


WNU65
78007.1
—
—
—
22.3
0.09
6


WNU63
76766.5
378.4
0.11
4
—
—
—


WNU63
76768.5
—
—
—
23.9
0.02
14


WNU50
78114.2
—
—
—
22.8
0.19
8


WNU50
78114.5
384.5
0.02
5
—
—
—


WNU50
78114.6
—
—
—
24.6
0.04
17


WNU50
78130.2
—
—
—
23.3
0.07
10


WNU19
76568.1
397.5
0.04
9
—
—
—


WNU19
76568.2
—
—
—
23.0
0.08
9


WNU19
76569.2
—
—
—
22.6
0.15
7


WNU19
76569.3
—
—
—
21.6
0.02
3


WNU19
76569.4
403.2
0.11
10
21.7
0.28
3


WNU19
76570.3
—
—
—
23.9
0.02
14


WNU16
77166.4
—
—
—
26.6
0.01
26


WNU16
77167.2
—
—
—
23.6
0.14
12


WNU16
77167.3
—
—
—
24.4
0.08
16


WNU16
77169.1
—
—
—
24.0
0.08
14


WNU16
77169.2
397.4
0.11
9
21.8
0.19
4


CONT.
—
364.9
—
—
21.1
—
—





Table 95. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant. The transgenes were under the transcriptional regulation of the new At6669 promoter (SEQ ID NO: 6918).






Example 20
Evaluation of Transgenic Arabidopsis Nue, Yield and Plant Growth Rate Under Low or Normal Nitrogen Fertilization in Greenhouse Assay
Assay 2: Nitrogen Use Efficiency Measured Until Bolting Stage: Plant Biomass and Plant Growth Rate at Limited and Optimal Nitrogen Concentration Under Greenhouse Conditions—
This assay follows the plant biomass formation and the rosette area growth of plants grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Arabidopsis seeds were sown in agar media supplemented with 1⁄2 MS medium and a selection agent (Kanamycin). The T2 transgenic seedlings were then transplanted to 1.7 trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 1.5 mM inorganic nitrogen in the form of KNO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 3.6 mM KCl, 2 mM CaCl2 and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of KNO3 with 1 mM KH2PO4, 1 mM MgSO4, 2 mM CaCl2 and microelements. All plants were grown in the greenhouse until bolting. Plant biomass (the above ground tissue) was weighted in directly after harvesting the rosette (plant fresh weight [FW]). Following plants were dried in an oven at 50° C. for 48 hours and weighted (plant dry weight [DW]).
Each construct was validated at its T2 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the At6669 promoter and the selectable marker was used as control.
The plants were analyzed for their overall size, growth rate, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants expressing the uidA reporter gene (GUS-Intron) or with no gene at all, under the same promoter were used as control.
The experiment was planned in nested randomized plot distribution. For each gene of the invention three to five independent transformation events were analyzed from each construct.
Digital imaging—A laboratory image acquisition system, which consists of a digital reflex camera (Canon EOS 300D) attached with a 55 mm focal length lens (Canon EF-S series), mounted on a reproduction device (Kaiser RS), which includes 4 light units (4×150 Watts light bulb) was used for capturing images of plant samples.
The image capturing process was repeated every 2 days starting from day 1 after transplanting till day 15. Same camera, placed in a custom made iron mount, was used for capturing images of larger plants sawn in white tubs in an environmental controlled greenhouse. The tubs were square shape include 1.7 liter trays. During the capture process, the tubes were placed beneath the iron mount, while avoiding direct sun light and casting of shadows.
An image analysis system was used, which consists of a personal desktop computer (Intel P4 3.0 GHz processor) and a public domain program—ImageJ 1.39 [Java based image processing program which is developed at the U.S. National Institutes of Health and freely available on the internet at rsbweb (dot) nih (dot) gov/]. Images were captured in resolution of 10 Mega Pixels (3888×2592 pixels) and stored in a low compression JPEG (Joint Photographic Experts Group standard) format. Next, analyzed data was saved to text files and processed using the JMP statistical analysis software (SAS institute).
Leaf analysis—Using the digital analysis leaves data was calculated, including leaf number, rosette area, rosette diameter, and leaf blade area.
Vegetative growth rate: the relative growth rate (RGR) of leaf number (Formula VIII, described above), rosette area (Formula IX described above) and plot coverage (Formula XI, described above) was calculated using the indicated formulas.
Plant Fresh and Dry weight—On about day 80 from sowing, the plants were harvested and directly weighted for the determination of the plant fresh weight (FW) and left to dry at 50° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).
Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses and improved nitrogen use efficiency, the results obtained from the transgenic plants were compared to those obtained from control plants when grown under identical growth conditions. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).
The genes listed in Tables 96-97 improved plant NUE when grown at limiting nitrogen concentration levels. These genes produced larger plants with a larger photosynthetic area, biomass (fresh weight, dry weight, leaf number, rosette diameter, rosette area and plot coverage) when grown under limiting nitrogen conditions (nutrient deficiency stress) as compared to control plants grown under identical growth conditions.







TABLE 96







Genes showing improved plant biomass production at 


limiting nitrogen growth conditions













Dry Weight [mg]
Fresh Weight [mg]
Leaf Number

















Gene Name
Event #
Ave.
P-Val. 
% Incr. 
Ave.
P-Val. 
% Incr. 
Ave. 
P-Val. 
% Incr




















WNU78
76661.4
—
—
—
—
—
—
11.0 
0.11
8


WNU78
76662.2
—
—
—
—
—
—
11.2
L
10


WNU74
77576.6
—
—
—
—
—
—
10.8
0.19
6


WNU74
77578.4 
164.6 
0.21
20
1112.5
0.10
18
—
—
—


WNU74
77579.5 
178.8 
0.18
30
1270.8
0.08
34
11.0 
0.02 
8


WNU67
79473.3
182.5 
0.26
33
1166.7
0.28
23
—
—
—


WNU67
79473.4
—
—
—
—
—
—
10.8 
0.12
6


WNU32
76576.4
—
—
—
—
—
—
11.4
0.02 
12


WNU32
76576.5
—
—
—
1116.7
0.02
18
—
—
—


WNU32
76578.1
—
—
—
—
—
—
11.2
0.07
10


WNU32
76578.3
171.1 
0.13
25
1202.4 
L
27
10.8
0.19
6


WNU32
76578.5
—
—
—
—
—
—
10.8
L
7


WNU32
76580.2
—
—
—
1125.0
0.19
19
—
—
—


WNU32
76580.6 
210.0
0.22
53
1383.3
0.09
46
—
—
—


WNU25
76624.8 
252.5 
0.26
84
1500.0
0.26
59
—
—
—


WNU25
78806.8
—
—
—
1125.0
0.23
19
—
—
—


WNU25
78808.4
—
—
—
1097.6
0.21
16
—
—
—


CONT.
—
137.0
—
—
946.3
—
—
10.2
—
—


WNU75
76657.4
—
—
—
1757.1
0.09
12
—
—
—


WNU75
76657.5 
177.6 
0.04
13
1764.3 
L
13
—
—
—


WNU75
76658.4
—
—
—
1690.5
0.20
8
—
—
—


WNU75
76659.5
—
—
—
1735.7
0.02
11
—
—
—


WNU54
76641.1 
169.2
0.18
7
—
—
—
—
—
—


WNU54
76643.5 
166.5 
0.25
6
—
—
—
—
—
—


WNU54
76645.5
—
—
—
—
—
—
9.52
0.23
3


WNU44
76636.1
—
—
—
1695.8
0.29
8
—
—
—


WNU29
76628.4 
167.1
0.28
6
1908.3
0.01
22
—
—
—


WNU29
76628.9
—
—
—
1691.7
0.21
8
—
—
—


WNU29
76629.1
—
—
—
1712.5
0.05
9
—
—
—


WNU29
76630.2
—
—
—
1720.8
0.16
10
—
—
—


WNU18
76563.3
—
—
—
—
—
—
9.62
0.12
4


WNU18
76563.5
—
—
—
1701.0
0.07
9
—
—
—


WNU18
76564.2
170.0
0.24
8
1758.3
0.08
12
—
—
—


WNU18
76565.6
—
—
—
—
—
—
9.50 
0.27
3


WNU104
76618.3
—
—
—
1658.3
0.22
6
—
—
—


WNU104
76619.6
163.8 
0.26
4
—
—
—
—
—
—


WNU104
76620.5
171.0
0.19
9
1898.2
0.13
21
—
—
—


WNU104
76620.7
187.9 
0.12
19
1750.0
0.20
12
—
—
—


CONT.
—
157.6
—
—
1564.3 
—
—
9.23
—
—


WNU87
76667.1
—
—
—
1583.3
0.13
7
—
—
—


WNU87
76667.3
—
—
—
1750.0
0.08
18
10.1
0.10
6


WNU87
76670.3
—
—
—
1537.5
0.26
4
—
—
—


WNU73
76653.1
—
—
—
—
—
—
10.0
0.29
5


WNU73
76654.1
—
—
—
1708.3
0.27
15
—
—
—


WNU58
76761.5
—
—
—
—
—
—
9.88 
0.27
3


WNU58
76762.2
—
—
—
1570.8
0.13
6
—
—
—


WNU58
76764.2
—
—
—
1629.2
0.07
10
10.1
0.06
6


WNU39
77171.4
—
—
—
1583.3
0.20
7
—
—
—


WNU39
77171.5
—
—
—
1583.3
0.24
7
—
—
—


CONT.
—
133.9
—
—
1481.7 
—
—
9.54
—
—


WNU99
77099.2
—
—
—
—
—
—
10.1
0.04
5


WNU97
77181.6
—
—
—
143.8
0.25
20
—
—
—


WNU83
75821.7
—
—
—
150.0 
0.14
25
10.4
L
8


WNU83
75821.8
—
—
—
—
—
—
9.81
0.24
3


WNU83
75823.9
—
—
—
—
—
—
9.88
0.22
3


WNU61
78014.2
—
—
—
—
—
—
10.1
0.19
6


WNU61
78015.10
—
—
—
143.8 
0.25
20
—
—
—


WNU6
76542.5
—
—
—
156.2 
0.25
31
—
—
—


WNU5
76045.4
—
—
—
143.8 
0.25
20
—
—
—


WNU43
77267.2
—
—
—
—
—
—
9.81
0.24
3


WNU42
76599.4
—
—
—
—
—
—
10.1
0.14
5


WNU35
75794.1
—
—
—
—
—
—
9.88
0.14
3


WNU35
75794.3
—
—
—
—
—
—
10.1
0.05
6


WNU34
76588.6
—
—
—
—
—
—
10.1
0.05
6


WNU31
75786.3
—
—
—
—
—
—
10.2
0.09
7


WNU31
75789.5
—
—
—
168.8 
0.03
41
10.2
0.01
7


WNU11
76398.1
—
—
—
—
—
—
10.1
0.14
5


WNU105
77261.2
—
—
—
—
—
—
10.1
0.02
6


WNU105
77262.1
—
—
—
—
—
—
10.0
0.10
5


WNU102
76549.8
—
—
—
—
—
—
9.94 
0.24
4


CONT.
—
—
—
—
119.6
—
—
9.56
—
—


WNU28
76826.1 
205.4
L
13
1804.2
0.17
10
10.0
0.23
1


WNU28
76829.3
—
—
—
—
—
—
10.3
0.28
4


WNU21
75781.10
—
—
—
—
—
—
10.3
0.27
4


WNU21
75781.6
—
—
—
1762.5
0.19
7
10.3
L
4


WNU21
75781.8
—
—
—
—
—
—
10.3
0.16
4


WNU21
75784.7 
195.8
0.26
7
—
—
—
—
—
—


WNU13
78921.4 
200.4 
0.10
10
1879.2
0.22
14
10.4
0.20
6


WNU13
78923.6 
190.8 
0.24
5
—
—
—
—
—
—


WNU13
78923.8
—
—
—
1766.7
0.11
7
—
—
—


WNU13
78924.3 
200.4 
0.30
10
—
—
—
10.6
0.04
8


WNU13
78925.8
—
—
—
—
—
—
10.2
0.09
4


CONT.
—
182.3
—
—
1645.4 
—
—
9.86
—
—


WNU66
77753.1 
212.3
L
21
1867.9
0.15
36
—
—
—


WNU66
77753.4
—
—
—
1546.4
0.05
13
—
—
—


WNU66
77754.10
—
—
—
1537.5
0.25
12
—
—
—


WNU66
77754.2
—
—
—
1500.0
0.15
9
—
—
—


WNU66
77754.4 
192.5 
0.15
10
1550.0
0.06
13
—
—
—


WNU60
78877.12
190.0 
0.07
9
1504.2
0.10
10
—
—
—


WNU60
78877.7
—
—
—
1465.7
0.29
7
—
—
—


WNU60
78877.8
194.2
0.21
11
1612.5
0.09
18
—
—
—


WNU60
78877.9
—
—
—
1504.2
0.19
10
—
—
—


WNU60
78878.10
200.8 
0.09
15
1679.2
0.04
22
—
—
—


WNU60
78878.9
—
—
—
1501.8
0.15
10
—
—
—


WNU47
77176.3
—
—
—
1728.6
0.07
26
—
—
—


WNU47
77177.2 
200.0
0.08
14
1608.3 
L
17
—
—
—


WNU47
77178.5 
188.3 
0.15
8
1529.2
0.17
12
—
—
—


WNU47
77178.8 
185.4 
0.19
6
1454.2
0.30
6
—
—
—


WNU47
77178.9
201.2
0.03
15
1666.7
L
22
—
—
—


WNU47
77180.2
—
—
—
1612.5
0.03
18
—
—
—


WNU47
77180.5
—
—
—
1474.4
0.21
8
—
—
—


WNU33
76581.3
200.4 
0.11
15
1654.2
0.06
21
—
—
—


WNU33
76581.5
—
—
—
1591.7
0.25
16
—
—
—


WNU33
76582.1
—
—
—
1614.9
0.02
18
—
—
—


WNU33
76584.1
199.3 
0.18
14
1522.6
0.07
11
—
—
—


WNU33
76584.3
—
—
—
1795.8
0.10
31
—
—
—


WNU33
76584.4
188.7 
0.15
8
1575.6
0.02
15
—
—
—


WNU33
76585.4 
193.5 
0.16
11
1541.1
0.05
12
—
—
—


WNU27
77747.3
—
—
—
1500.0
0.13
9
—
—
—


WNU27
77747.4
—
—
—
1541.7
0.22
12
—
—
—


WNU27
77747.5
—
—
—
1497.6
0.27
9
—
—
—


WNU27
77748.2
—
—
—
—
—
—
10.5
0.16
6


WNU27
77750.1
196.0
0.10
12
1535.7
0.15
12
—
—
—


WNU27
77750.3
196.7 
0.08
13
1583.3
0.15
15
—
—
—


WNU26
76673.10 
211.2 
0.04
21
1712.5
L
25
—
—
—


WNU26
76673.2 
197.1 
0.15
13
1716.7
0.03
25
—
—
—


WNU26
76673.4
—
—
—
1511.9
0.29
10
—
—
—


WNU26
76673.9
—
—
—
1529.2
0.12
12
—
—
—


WNU26
76674.1
—
—
—
1486.9
0.14
8
—
—
—


WNU26
76675.4
—
—
—
1533.3
0.07
12
—
—
—


CONT.
—
174.8
—
—
1371.0
—
—
9.84
—
—


WNU92
77124.5
 99.2
0.08
17
823.8
0.25
15
10.5
0.12
8


WNU92
77125.3
—
—
—
854.2
0.17
19
—
—
—


WNU72
77086.3 
110.0
L
29
966.7
0.01
35
—
—
—


WNU72
77088.5 
 96.2
0.16
13
831.5
0.19
16
—
—
—


WNU72
77090.2
100.1
0.29
18
878.6
0.08
23
—
—
—


WNU57
76647.1
116.7
0.23
37
1014.3
0.22
42
—
—
—


WNU57
76649.5 
 97.2
0.12
14
869.0 
0.08
21
—
—
—


WNU57
76649.6 
105.5
0.13
24
919.0
0.08
28
—
—
—


WNU57
76650.2
—
—
—
—
—
—
10.1
0.21
4


WNU52
76605.3
 98.0
0.09
15
—
—
—
—
—
—


WNU3
76633.10
—
—
—
—
—
—
10.2
0.28
5


WNU3
76633.12
—
—
—
—
—
—
10.0 
0.21
2


WNU3
76633.13
—
—
—
825.0
0.16
15
—
—
—


WNU3
76633.8
105.0
0.03
23
1000.0
0.08
40
—
—
—


WNU3
76635.1 
111.2 
0.12
31
991.7 
0.15
39
—
—
—


WNU15
76552.7 
103.0 
0.18
21
946.0 
0.01
32
—
—
—


CONT.
—
 85.1
—
—
715.6
—
—
9.77
—
—





Table 96. “CONT.”—Control;


“Ave.”—Average;


“% Incr.” = % increment;


“p-val.”—p-value;


L means that p-value is less than 0.01, p < 0.1 was considered as significant













TABLE 97







Genes showing improved plant biomass production at limiting


nitrogen growth conditions













Plot Coverage
Rosette Area
Rosette Diameter




[cm2]
[cm2]
[cm]

















Gene


P-
%

P-
%

P-
%


Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave.
Val.
Incr.




















WNU78
76661.4
91.8
L
44
11.5
L
44
5.77
L
19


WNU78
76662.2
82.7
L
30
10.3
L
30
5.49
L
14


WNU78
76665.5
—
—
—
—
—
—
5.10
0.01
6


WNU78
76665.6 
73.7
0.11
16
9.21
0.11
16
—
—
—


WNU74
77576.1
70.7
0.04
11
8.84
0.04
11
5.25
0.02
9


WNU74
77576.2
67.0
0.21
5
8.38
0.21
5
5.02
0.04
4


WNU74
77576.6
74.3
0.01
16
9.29
0.01
16
5.29
L
9


WNU74
77576.8
—
—
—
—
—
—
5.08
0.15
5


WNU74
77579.5
70.9
0.22
11
8.87
0.22
11
5.16
0.20
7


WNU71
77656.1
70.6
0.18
11
8.82
0.18
11
5.24
0.04
8


WNU67
79413.2
—
—
—
—
—
—
5.18
0.21
7


WNU67
79413.5
—
—
—
—
—
—
5.01
0.16
4


WNU67
79472.2
—
—
—
—
—
—
4.95
0.25
2


WNU67
79473.4
79.9
L
25
9.99
L
25
5.39
L
11


WNU32
76576.2
72.4
0.26
13
9.05
0.26
13
5.10
0.27
5


WNU32
76576.4
93.1
L
46
11.6
L
46
5.76
L
19


WNU32
76576.5
71.4
L
12
8.92
L
12
5.22
0.05
8


WNU32
76578.1
85.1
L
33
10.6
L
33
5.59
L
16


WNU32
76578.3
74.0
0.17
16
9.25
0.17
16
5.09
0.17
5


WNU32
76578.5
76.6
L
20
9.58
L
20
5.33
L
10


WNU32
76580.2
70.8
0.01
11
8.85
0.01
11
5.17
0.03
7


WNU32
76580.6
76.5
L
20
9.56
L
20
5.18
L
7


CONT.
—
63.8
—
—
7.97
—
—
4.83
—
—


WNU75
76657.6 
40.6
0.19
10
5.07
0.23
9
3.98
0.14
6


WNU75
76658.3
40.9
0.16
11
5.11
0.19
10
4.00
0.13
7


WNU54
76645.5
—
—
—
5.18
0.30
11
4.06
0.18
8


WNU18
76565.5
46.3
0.10
25
5.78
0.11
24
4.24
0.12
13


CONT.
—
37.0
—
—
4.66
—
—
3.75
—
—


WNU87
76667.1
61.5
0.17
7
7.69
0.17
7
4.88
0.02
7


WNU87
76667.3
67.3
0.23
17
8.41
0.23
17
4.86
0.28
6


WNU87
76670.3
61.9
0.16
7
7.74
0.16
7
4.78
0.10
4


WNU39
77171.5
63.1
0.09
9
7.88
0.09
9
4.78
0.28
4


WNU2
77867.3
65.4
0.20
13
8.18
0.20
13
—
—
—


WNU2
77869.1
—
—
—
—
—
—
4.87
0.23
6


WNU2
77869.3
61.6
0.20
7
7.70
0.20
7
4.77
0.11
4


CONT.
—
57.7
—
—
7.22
—
—
4.58
—
—


WNU99
77097.4
36.9
0.06
10
4.62
0.06
10
4.05
0.05
6


WNU99
77098.4
—
—
—
—
—
—
4.05
0.07
6


WNU99
77099.4
38.4
0.28
14
4.80
0.28
14
—
—
—


WNU98
77463.13
—
—
—
—
—
—
4.15
0.01
9


WNU98
77465.1 
38.1
0.02
13
4.76
0.02
13
4.09
0.03
7


WNU98
77465.3
37.5
0.06
12
4.69
0.06
12
4.30
L
12


WNU97
77181.6
40.7
L
21
5.09
L
21
4.28
0.08
12


WNU94
78108.5
—
—
—
—
—
—
3.95
0.21
3


WNU91
76211.3
—
—
—
—
—
—
3.94
0.25
3


WNU83
75821.7
44.7
L
33
5.58
L
33
4.50
L
18


WNU83
75821.8
37.4
0.06
11
4.67
0.06
11
4.08
0.04
7


WNU83
75823.9
—
—
—
—
—
—
4.00
0.11
5


WNU61
78014.1
37.7
0.20
12
4.71
0.20
12
4.17
0.01
9


WNU61
78014.2
38.5
0.03
14
4.81
0.03
14
4.12
0.14
8


WNU6
76542.5
38.9
0.01
16
4.86
0.01
16
4.15
0.04
9


WNU6
76544.8
36.3
0.28
8
4.54
0.28
8
4.00
0.11
5


WNU55
77631.1
—
—
—
—
—
—
4.02
0.24
5


WNU51
79018.4
—
—
—
—
—
—
4.04
0.07
6


WNU51
79020.6
—
—
—
—
—
—
3.99
0.21
4


WNU5
76045.4
36.4
0.24
8
4.55
0.24
8
—
—
—


WNU46
77024.6 
36.2
0.17
8
4.52
0.17
8
3.98
0.21
4


WNU43
77267.2
36.0
0.19
7
4.50
0.19
7
—
—
—


WNU42
76598.1
37.6
0.06
12
4.70
0.06
12
4.05
0.08
6


WNU42
76599.4
41.4
L
23
5.17
L
23
4.23
L
11


WNU41
79012.4
39.2
L
16
4.90
L
16
4.25
0.05
11


WNU35
75792.2
—
—
—
—
—
—
3.95
0.24
3


WNU35
75794.1
35.8
0.19
7
4.48
0.19
7
3.97
0.20
4


WNU35
75794.3
44.5
0.27
32
5.56
0.27
32
4.53
0.23
19


WNU34
76588.3
38.3
0.02
14
4.78
0.02
14
4.06
0.04
6


WNU34
76588.6
—
—
—
—
—
—
4.20
0.26
10


WNU34
76588.8
36.7
0.21
9
4.58
0.21
9
—
—
—


WNU31
75786.3
40.4
L
20
5.05
L
20
4.36
L
14


WNU31
75786.7
39.9
0.02
19
4.99
0.02
19
4.20
0.08
10


WNU31
75789.5
46.6
L
39
5.83
L
39
4.65
L
22


WNU31
75790.8
38.3
0.21
14
4.79
0.21
14
—
—
—


WNU17
76556.4
38.7
0.02
15
4.84
0.02
15
4.13
0.02
8


WNU14
77113.4
—
—
—
—
—
—
3.98
0.14
4


WNU11
76398.1
42.5
0.01
26
5.31
0.01
26
4.36
L
14


WNU11
76400.2
37.8
0.03
13
4.73
0.03
13
4.20
0.15
10


WNU105
77261.2
41.5
L
23
5.18
L
23
4.25
L
11


WNU105
77262.1
36.2
0.17
8
4.53
0.17
8
3.99
0.26
4


WNU102
76550.4
37.5
0.04
11
4.68
0.04
11
4.25
0.01
11


CONT.
—
33.6
—
—
4.20
—
—
3.82
—
—


WNU28
76826.1
60.5
0.05
17
7.56
0.05
17
4.49
0.09
5


WNU28
76827.3
56.4
0.18
9
7.05
0.18
9
4.45
0.19
4


WNU28
76827.4
60.3
0.25
16
7.53
0.25
16
—
—
—


WNU28
76829.3
61.7
0.04
19
7.71
0.04
19
4.62
0.17
8


WNU21
75781.6
61.0
L
18
7.63
L
18
4.60
L
8


WNU21
75781.8
63.0
0.03
21
7.87
0.03
21
4.69
0.07
10


WNU21
75784.1
64.1
0.21
23
8.01
0.21
23
4.83
0.20
13


WNU21
75784.4
58.8
0.16
13
7.35
0.16
13
4.47
0.28
5


WNU21
75784.7
58.9
0.02
13
7.36
0.02
13
4.47
0.11
5


WNU13
78921.3
61.3
0.15
18
7.67
0.15
18
4.56
0.23
7


WNU13
78921.4
63.8
L
23
7.98
L
23
4.61
0.06
8


WNU13
78923.6
64.9
0.07
25
8.11
0.07
25
4.79
0.05
13


WNU13
78924.2
55.6
0.17
7
6.95
0.17
7
4.39
0.30
3


WNU13
78924.3
66.5
0.19
28
8.31
0.19
28
4.75
0.24
12


WNU13
78925.3
60.8
0.04
17
7.60
0.04
17
4.57
0.12
7


WNU13
78925.8
62.5
0.11
20
7.81
0.11
20
4.65
0.17
9


CONT.
—
51.9
—
—
6.49
—
—
4.26
—
—


WNU66
77754.4
60.7
0.21
6
7.59
0.21
6
4.88
0.14
3


WNU27
77748.1
65.1
0.11
14
8.14
0.11
14
5.00
0.17
5


WNU27
77748.2
65.3
0.17
14
8.16
0.17
14
4.97
0.08
5


WNU27
77750.1
—
—
—
—
—
—
5.04
0.21
6


CONT.
—
57.1
—
—
7.14
—
—
4.74
—
—


WNU92
77124.5
70.5
0.26
12
8.82
0.29
11
—
—
—


WNU92
77125.3
70.2
0.23
11
8.77
0.27
10
—
—
—


WNU72
77086.3
69.4
0.15
10
8.68
0.18
9
—
—
—


WNU72
77088.1
76.5
0.16
21
9.57
0.17
20
4.97
0.20
11


WNU57
76647.1
71.5
0.27
13
9.33
0.14
17
4.92
0.15
10


WNU57
76649.5
70.9
0.13
12
8.86
0.15
11
4.80
0.05
7


WNU57
76649.7 
72.6
0.09
15
9.08
0.10
14
4.84
0.14
8


WNU57
76650.2
67.4
0.27
7
—
—
—
—
—
—


CONT.
—
63.1
—
—
7.96
—
—
4.48
—
—





Table 97: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.






The genes listed in Table 98 improved plant NUE when grown at limiting nitrogen concentration levels. These genes produced faster developing plants when grown under limiting nitrogen growth conditions, compared to control plants, grown under identical conditions as measured by growth rate of leaf number, rosette diameter and plot coverage.







TABLE 98







Genes showing improved rosette growth performance at


limiting nitrogen growth conditions














RGR Of Plot
RGR Of Rosette




RGR Of Leaf
Coverage
Diameter 




Number
[cm2/day]
[cm/day]

















Gene 


P-
%

P-
%

P-
%


Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave.
Val.
Incr.




















WNU78
76661.4
—
—
—
15.4
L
36
0.591
L
20


WNU78
76662.2
—
—
—
13.9
L
23
0.534
0.14
9


WNU78
76665.5
—
—
—
—
—
—
0.538
0.12
9


WNU78
76665.6
—
—
—
13.1
0.04
16
0.532
0.21
8


WNU74
77576.1
—
—
—
12.6
0.12
11
0.549
0.06
11


WNU74
77576.6
—
—
—
13.2
0.02
17
0.559
0.02
14


WNU74
77576.8
—
—
—
—
—
—
0.536
0.16
9


WNU74
77578.4
—
—
—
12.4
0.22
9
—
—
—


WNU74
77579.5
—
—
—
13.0
0.05
16
0.529
0.23
7


WNU71
77656.1
—
—
—
13.0
0.05
15
0.550
0.05
12


WNU67
79413.2
—
—
—
12.8
0.09
13
0.551
0.06
12


WNU67
79413.5
—
—
—
—
—
—
0.529
0.21
7


WNU67
79473.4
—
—
—
14.0
L
24
0.565
0.01
15


WNU32
76576.2
—
—
—
12.5
0.15
11
—
—
—


WNU32
76576.4
0.801
0.28
11
15.8
L
40
0.563
0.01
14


WNU32
76576.5
—
—
—
12.5
0.15
11
0.526
0.25
7


WNU32
76577.1
0.820
0.20
14
—
—
—
—
—
—


WNU32
76578.1
0.812
0.23
13
14.6
L
30
0.559
0.02
14


WNU32
76578.3
—
—
—
13.0
0.06
16
0.542
0.10
10


WNU32
76578.5
—
—
—
13.0
0.05
15
0.534
0.15
8


WNU32
76580.2
—
—
—
12.8
0.07
14
0.556
0.04
13


WNU32
76580.6
—
—
—
13.6
L
20
0.545
0.07
11


WNU25
78806.7
—
—
—
12.7
0.13
12
—
—
—


WNU25
78806.8
—
—
—
12.5
0.17
11
0.543
0.10
10


CONT.
—
0.721
—
—
11.3
—
—
0.492
—
—


WNU75
76658.3
—
—
—
14.2
0.21
15
—
—
—


WNU54
76643.5
0.891
0.21
14
—
—
—
—
—
—


WNU54
76645.5
0.886
0.23
13
14.3
0.18
16
—
—
—


WNU18
76565.5
—
—
—
14.6
0.12
19
—
—
—


CONT.
—
0.781
—
—
12.3
—
—
—
—
—


WNU87
76667.3
—
—
—
12.5
0.05
18
—
—
—


WNU73
76651.5
—
—
—
11.7
0.24
11
—
—
—


WNU39
77171.5
—
—
—
11.6
0.22
11
—
—
—


WNU2
77867.3
—
—
—
12.1
0.10
15
—
—
—


WNU2
77869.1
—
—
—
11.5
0.29
9
—
—
—


WNU2
77869.3
—
—
—
11.5
0.27
9
—
—
—


CONT.
—
—
—
—
10.5
—
—
—
—
—


WNU99
77099.2
0.631
0.14
16
—
—
—
—
—
—


WNU98
77463.13
—
—
—
—
—
—
0.383
0.05
12


WNU98
77465.1
—
—
—
5.93
0.20
14
—
—
—


WNU98
77465.3
—
—
—
—
—
—
0.376
0.10
11


WNU97
77181.6
—
—
—
6.20
0.08
20
—
—
—


WNU94
78110.7
0.635
0.12
17
—
—
—
—
—
—


WNU83
75821.7
—
—
—
6.65
0.01
28
0.382
0.05
12


WNU83
75821.8
—
—
—
—
—
—
0.365
0.24
7


WNU83
75823.9
—
—
—
—
—
—
0.370
0.17
9


WNU61
78014.1
—
—
—
5.95
0.19
15
0.383
0.04 
13


WNU61
78014.2
0.625
0.17 
15
5.94
0.19
15
—
—
—


WNU6
76542.5
—
—
—
5.85
0.24
13
0.373
0.13
9


WNU51
79018.4
—
—
—
5.84
0.27
13
0.366
0.25
7


WNU51
79020.6
0.623
0.17
14
—
—
—
—
—
—


WNU5
76045.6
0.604
0.29
11
—
—
—
—
—
—


WNU43
77267.2
—
—
—
—
—
—
0.369
0.18
8


WNU42
76598.1
—
—
—
5.78
0.30
12
—
—
—


WNU42
76599.4
—
—
—
6.31
0.06
22
—
—
—


WNU41
79012.4
—
—
—
6.13
0.10
18
0.375
0.11
10


WNU41
79013.1
0.617
0.21
13
—
—
—
—
—
—


WNU35
75794.1
0.610
0 26
12
—
—
—
—
—
—


WNU35
75794.3
—
—
—
6.82
0.01
32
0.397
0.03
17


WNU34
76588.3
—
—
—
5.79
0.28
12
—
—
—


WNU34
76588.6
—
—
—
—
—
—
0.370
0.19
9


WNU31
75786.3
—
—
—
5.96
0.17
15
0.383
0.05
13


WNU31
75786.7
—
—
—
5.91
0.20
14
—
—
—


WNU31
75789.5
0.614
0.26
13
7.42
1.
43
0.409
L
20


WNU31
75790.8
—
—
—
6.03
0.15
16
0.391
0.02
15


WNU17
76556.4
0.609
0.30
12
5.95
0.18
15
—
—
—


WNU14
77113.11
0.643
0.10
18
—
—
—
—
—
—


WNU11
76398.1
—
—
—
6.73
0.01
30
0.389
0.03
14


WNU11
76400.2
—
—
—
5.84
025
13
0.381
0.07
12


WNU105
77261.2
—
—
—
6.22
0.07
20
0.373
0.13
9


WNU105
77262.1
0.631
0.16
16
—
—
—
—
—
—


WNU102
76550.4
—
—
—
—
—
—
0.369
0.18
8


CONT.
—
0344
—
—
5.18
—
—
0.341
—
—


WNU28
76826.1
—
—
—
10.4
0.04
17
—
—
—


WNU28
76827.3
—
—
—
9.62
0.30
8
—
—
—


WNU28
76827.4
—
—
—
10.1
0.12
13
—
—
—


WNU28
76829.3
—
—
—
10.7
0.01
21
0.450
0.08
14


WNU28
76829.5
0.785
0.13
15
—
—
—
—
—
—


WNU21
75781.10
—
—
—
10.1
0.11
14
0.428
0.30
8


WNU21
75781.11
0.781
0.13
14
—
—
—
—
—
—


WNU21
75781.6
—
—
—
10.5
0.02
18
—
—
—


WNU21
75781.8
—
—
—
11.0
L
24
0.441
0.12
11


WNU21
75781.9
—
—
—
—
—
—
0.439
0.16
11


WNU21
75783.1
—
—
—
9.96
0.15
12
—
—
—


WNU21
75784.1
—
—
—
11.2
L
27
0.468
0.04
18


WNU21
75784.4
—
—
—
10.2
0.07
15
0.427
0.30
8


WNU21
75784.7
—
—
—
10.0
0.10
13
—
—
—


WNU13
78921.3
0.764
0.27
12
10.5
0.03
18
—
—
—


WNU13
78921.4
—
—
—
10.9
L
22
0.433
0.20
9


WNU13
78923.6
—
—
—
11.2
L
26
0.441
0.13
11


WNU13
78923.8
—
—
—
—
—
—
0.439
0.18
11


WNU13
78924.2
—
—
—
9.75
0.23
10
—
—
—


WNU13
78924.3
—
—
—
11.5
L
29
0.447
0.15
13


WNU13
78925.3
0.762
0.23
12
10.5
0.03
18
0.428
0.26
8


WNU13
78925.8
0.771
0.20
13
10.5
0.03
18
—
—
—


CONT.
—
0.683
—
—
8.88
—
—
0.396
—
—


WNU60
78878.4
0.820
0.11
17
—
—
—
—
—
—


WNU47
77178.2
—
—
—
—
—
—
0.514
0.25
8


WNU47
77180.4
0.837
0.07
19
—
—
—
—
—
—


WNU33
76581.3
0.821
0.11
17
—
—
—
—
—
—


WNU33
76581.6
0.813
0.15
16
—
—
—
—
—
—


WNU27
77747.4
0.801
0.22
14
—
—
—
—
—
—


WNU27
77748.1
0.784
0.28
12
11.8
0.07
15
0.513
0.24
8


WNU27
77748.2
—
—
—
11.6
0.10
14
—
—
—


WNU27
77750.1
—
—
—
11.6
0.13
13
—
—
—


WNU26
76673.10
0.789
0.25
12
—
—
—
—
—
—


WNU26
76673.5
0.886
0.02
26
—
—
—
—
—
—


WNU26
76674.1
0.813
0.14
16
—
—
—
—
—
—


CONT.
—
0.702
—
—
10.2
—
—
0.477
—
—


WNU92
77124.5
—
—
—
10.6
0.30
12
—
—
—


WNU72
77086.3
—
—
—
10.8
0.23
14
—
—
—


WNU72
77088.1
—
—
—
11.4
0.08
20
0.461
0.26
10


WNU57
76647.1
0.826
0.10
14
11.2
0.11
19
0.484
0.09
16


WNU57
76649.5
—
—
—
10.6
0.28
12
—
—
—


WNU57
76649.7
—
—
—
11.0
0.15
17
0.470
0.16
12


CONT.
—
0.725
—
—
9.47
—
—
0.419
—
—





Table 98. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.“—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.






The genes listed in Tables 99-100 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced larger plants with a larger photosynthetic area and increased biomass (fresh weight, dry weight, leaf number, rosette diameter, rosette area and plot coverage) when grown under standard nitrogen conditions as compared to control plants grown under identical growth conditions.







TABLE 99







Genes showing improved plant biomass production at


standard nitrogen growth conditions













Dry Weight [mg]
Fresh Weight [mg]
Leaf Number

















Gene 


P-
%

P-
%

P-
%


Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave.
Val.
Incr.




















WNU75
76657.1
—
—
—
2170.8
0.18
10
9.67
L
8


WNU75
76657.5
—
—
—
—
—
—
9.29
0.21
3


WNU75
76658.3
183.8
0.15
10
2154.2
0.25
9
9.38
0.07
4


WNU75
76659.6
178.3
0.21
6
2129.2
0.04
7
9.46
0.01
5


WNU54
76641.5
187.1
0.02
12
2216.7
L
12
9.29
0.28
3


WNU54
76643.2
175.0
0.11
4
—
—
—
—
—
—


WNU54
76644.1
—
—
—
—
—
—
9.33
0.25
4


WNU54
76645.3
—
—
—
2175.0
0.14
10
—
—
—


WNU54
76645.5
—
—
—
—
—
—
9.46
L
5


WNU54
76645.7
173.3
0.23
3
2125.0
0.07
7
—
—
—


WNU44
76636.1
—
—
—
—
—
—
9.46
0.01
5


WNU44
76636.3
—
—
—
—
—
—
9.58
L
7


WNU44
76639.1
183.3
0.01
9
2141.7
0.05
8
9.54
0.16
6


WNU44
76639.2
—
—
—
—
—
—
9.46
0.01
5


WNU44
76639.3
175.5
0.24
5
2110.5
0.25
7
—
—
—


WNU44
76640.3
—
—
—
—
—
—
9.38
0.06
4


WNU44
76640.9
176.7
0.24
5
—
—
—
—
—
—


WNU29
76628.1
183.8
0.09
10
2191.7
0.15
11
9.75
L
9


WNU29
76628.4
173.3
0.18
3
2084.5
0.26
5
9.25
0.23
3


WNU29
76628.7
—
—
—
2162.5
0.21
9
9.33
0.06
4


WNU29
76628.9
—
—
—
—
—
—
9.33
0.17
4


WNU29
76629.1
—
—
—
—
—
—
9.62
0.07
7


WNU29
76630.2
—
—
—
—
—
—
9.38
0.27
4


WNU18
76562.2
176.2
0.23
5
2150.0
0.10
9
—
—
—


WNU18
76563.3
177.5
0.10
6
2083.3
0.12
5
9.54
0.22
6


WNU18
76564.2
191.8
L
14
2286.3
L
15
9.17
0.24
2


WNU18
76565.5
194.2
L
16
2345.8
0.02
18
9.50
0.20
6


WNU104
76617.1
181.0
0.25
8
2211.9
0.04
12
9.54
0.11
6


WNU104
76618.3
184.6
0.13
10
2212.5
L
12
9.17
0.29
2


WNU104
76619.3
—
—
—
—
—
—
9.58
L
7


WNU104
76619.6
—
—
—
—
—
—
9.33
0.14
4


WNU104
76620.2
—
—
—
—
—
—
9.62
0.02
7


WNU104
76620.4
—
—
—
—
—
—
9.40
0.05
5


WNU104
76620.5
—
—
—
—
—
—
9.33
0.14
4


WNU104
76620.7
—
—
—
—
—
—
9.46
0.16
5


CONT.
—
167.7
—
—
1980.9
—
—
8.98
—
—


WNU28
76830.1
—
—
—
—
—
—
10.5
0.30
2


WNU21
75784.6
—
—
—
—
—
—
10.9
0.05
6


CONT.
—
—
—
—
—
—
—
10.2
—
—


WNU92
77124.5
—
—
—
1525.6
0.14
9
10.1
0.26
3


WNU92
77124.7
129.9
0.23
9
—
—
—
—
—
—


WNU92
77125.3
—
—
—
1505.9
0.30
8
—
—
—


WNU72
77086.3
131.2
0.13
11
1558.3
0.02
11
10.2
0.08
4


WNU72
77088.2
130.3
0.25
10
1581.0
0.19
13
—
—
—


WNU72
77090.1
136.4
0.27
15
1478.6
0.14
6
—
—
—


WNU57
76647.1
137.1
0.27
15
—
—
—
—
—
—


WNU57
76650.2
132.4
0.08
12
1531.5
0.10
10
—
—
—


WNU3
76633.13
—
—
—
—
—
—
10.0
0.28
2


WNU15
76551.5
128.4
0.27
8
—
—
—
—
—
—


WNU15
76552.7
128.5
0.11
8
1493.1
0.09
7
—
—
—


CONT.
—
118.7
—
—
1398.2
—
—
9.83
—
—


WNU78
76662.2
—
—
—
—
—
—
11.5
0.02
8


WNU78
76665.6
316.3
0.03
20
3141.7
L
24
—
—
—


WNU74
77578.1
—
—
—
2687.5
0.12
6
—
—
—


WNU32
76576.4
—
—
—
—
—
—
12.1
L
13


WNU32
76576.5
—
—
—
2883.3
0.14
14
—
—
—


WNU32
76578.1
—
—
—
2662.5
0.15
5
—
—
—


WNU32
76578.3
290.0
0.30
10
2904.2
0.07
14
—
—
—


WNU32
76580.2
285.0
0.01
8
2879.2
L
13
—
—
—


WNU32
76580.6
279.2
0.11
6
2966.7
0.03
17
—
—
—


WNU25
78808.4
277.6
0.13
5
2872.0
0.02
13
—
—
—


CONT.
—
263.3
—
—
2539.2
—
—
10.7
—
—


WNU87
76667.3
—
—
—
—
—
—
10.2
0.25
7


WNU73
76651.7
—
—
—
—
—
—
9.88
0.03
4


WNU58
76761.5
—
—
—
—
—
—
9.92
0.22
4


WNU58
76764.2
164.6
0.24
11
—
—
—
—
—
—


CONT.
—
148.7
—
—
1832.8
—
—
9.54
—
—


WNU66
77753.1
317.4
0.07
13
3801.2
0.09
18
—
—
—


WNU66
77753.4
—
—
—
3720.2
0.25 
16
—
—
—


WNU66
77754.4
—
—
—
—
—
—
10.6
0.04
7


WNU60
78877.12
—
—
—
—
—
—
10.2
0.29
2


WNU60
78877.6
314.2
0.11
12
3532.1
0.04
10
—
—
—


WNU60
78877.9
—
—
—
3525.6
0.22
10
—
—
—


WNU60
78878.10
—
—
—
—
—
—
10.7
0.20
7


WNU60
78878.12
—
—
—
3739.9
0.15
16
—
—
—


WNU47
77178.9
—
—
—
—
—
—
10.1
0.28
2


WNU47
77180.5
—
—
—
3380.2
0.26
5
—
—
—


WNU33
76581.3
—
—
—
—
—
—
10.4
0.24
4


WNU33
76581.5
303.8
0.27
8
—
—
—
10.4
0.06
4


WNU33
76581.6
—
—
—
—
—
—
10.4
0.08
4


WNU33
76582.1
295.0
0.22
5
3525.0
0.04
10
—
—
—


WNU33
76584.1
—
—
—
—
—
—
10.9
0.01
9


WNU33
76584.2
—
—
—
3399.4
0.27
6
—
—
—


WNU33
76584.3
326.6
0.14
17
—
—
—
10.2
0.17
3


WNU27
77747.5
—
—
—
—
—
—
10.8
0.02
8


WNU27
77748.1
—
—
—
—
—
—
10.7
0.28
7


WNU27
77750.1
—
—
—
—
—
—
10.9
0.15
10


WNU26
76672.1
—
—
—
3398.2
0.25
6
—
—
—


WNU26
76673.2
297.4
0.12
6
3845.8
0.10
20
—
—
—


WNU26
76673.4
343.6
0.03
23
3569.6
0.02
11
—
—
—


WNU26
76673.9
—
—
—
3573.8
0.20
11
—
—
—


CONT.
—
280.3
—
—
3213.9
—
—
9.96
—
—





Table 99. “CONT.”—Control; “Ave.”—Average; “% Incr.”= % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.













TABLE 100







Genes showing improved plant biomass production at


standard nitrogen growth conditions













Plot Coverage 
Rosette Area 
Rosette Diameter




[cm2]
[cm2]
[cm]

















Gene 


P-
%

P-
%

P-
%


Name
Event #
Ave.
Val.
Incr. 
Ave. 
Val.
Incr. 
Ave.
Val.
Incr.




















WNU75
76657.1
41.8
0.05
31
5.22
0.06
30
3.99
0.12
14


WNU75
76658.3
43.6
0.04
37
5.46
0.04
36
4.09
0.03
17


WNU75
76659.6
41.6
L
31
5.19
L
30
4.10
L
17


WNU54
76641.5
39.1
0.01
23
4.89
0.02
22
3.96
L
13


WNU54
76643.2
39.8
L
25
4.97
L
24
3.99
L
14


WNU54
76644.1
34.9
0.27
10
—
—
—
—
—
—


WNU54
76644.4
42.1
L
32
5.26
L
31
4.08
L
16


WNU54
76645.3
37.8
L
19
4.72
L
18
3.80
0.02
9


WNU54
76645.7
36.1
0.21
14
4.52
0.24
13
—
—
—


WNU44
76636.1
40.9
0.10
29
5.11
0.11
28
4.08
0.11
16


WNU44
76636.3
38.7
L
22
4.84
0.01
21
3.96
0.05
13


WNU44
76639.1
42.8
L
35
5.35
L
33
4.01
L
14


WNU44
76639.2
—
—
—
—
—
—
3.68
0.22
5


WNU44
76639.4
36.7
0.16
16
4.59
0.18
15
3.78
0.08
8


WNU44
76640.9
36.0
0.25
13
4.50
0.27
12
—
—
—


WNU29
76628.1
40.7
L
28
5.08
L
27
4.09
L
17


WNU29
76628.4
34.1
0.30
7
—
—
—
—
—
—


WNU29
76628.7
36.7
0.22
16
4.59
0.24
15
—
—
—


WNU29
76628.9
39.0
0.01
23
4.87
0.01
22
3.97
0.09
13


WNU29
76629.3
41.2
L
30
5.15
0.01
29
4.05
0.03
16


WNU18
76561.2
36.1
0.05
14
4.51
0.07
13
—
—
—


WNU18
76562.2
40.0
L
26
5.00
L
25
4.14
L
18


WNU18
76564.2
40.3
0.02
27
5.04
0.02
26
4.01
0.12
14


WNU18
76565.5
45.8
L
44
5.73
L
43
4.29
L
22


WNU104
76617.1
41.4
L
30
5.18
L
29
4.05
0.02
16


WNU104
76618.3
39.3
L
24
4.91
L
23
3.92
0.01
12


WNU104
76619.6
33.9
0.29
7
—
—
—
—
—
—


WNU104
76620.2
35.1
0.24
10
4.39
0.28
9
—
—
—


WNU104
76620.4
—
—
—
4.25
0.28
6
—
—
—


CONT.
—
31.8
—
—
4.01
—
—
3.50
—
—


WNU28
76826.1
67.4
0.15
13
8.42
0.15
13
4.90
0.18
7


WNU21
75781.10
69.4
0.27
16
8.67
0.27
16
—
—
—


WNU21
75781.8
67.6
0.03
13
8.45
0.03
13
4.86
0.09
6


WNU21
75784.1
70.6
0.06
18
8.82
0.06
18
4.94
0.05
7


WNU21
75784.4
68.1
0.30
14
8.52
0.30
14
—
—
—


WNU13
78921.4
69.1
0.03
16
8.64
0.03
16
4.96
0.11
8


WNU13
78923.6
69.0
0.29
16
8.63
0.29
16
5.01
0.18
9


WNU13
78924.3
70.6
0.06
18
8.82
0.06
18
4.90
0.26
6


WNU13
78925.3
68.7
0.07
15
8.58
0.07
15
4.92
L
7


CONT.
—
59.6
—
—
7.45
—
—
4.60
—
—


WNU92
77124.5
78.2
0.25
23
—
—
—
—
—
—


WNU72
77086.3
74.2
L
16
9.27
0.03
10
4.98
0.01
7


WNU72
77088.2
78.2
0.12
23
9.78
0.21
16
—
—
—


WNU72
77090.1
69.0
0.29
8
—
—
—
—
—
—


WNU57
76647.1
77.2
0.12
21
9.65
0.22
14
—
—
—


WNU57
76650.2
75.8
0.02
19
9.47
0.08
12
—
—
—


WNU52
76605.3
72.0
0.30
13
—
—
—
—
—
—


CONT.
—
63.8
—
—
8.44
—
—
4.67
—
—


WNU78
76661.4
86.1
0.05
19
10.8
0.05
19
5.64
0.02
8


WNU78
76662.2
89.1
0.17
24
11.1
0.17
24
5.74
0.21
10


WNU78
76665.6
84.5
0.07
17
10.6
0.07
17
5.68
0.09
8


WNU71
77656.1
82.3
0.03
14
10.3
0.03
14
5.63
0.04
7


WNU67
79472.2
82.7
0.11
15
10.3
0.11
15
5.62
0.10
7


WNU67
79473.4
—
—
—
10.6
0.20
17
5.76
0.04
10


WNU32
76576.4
97.3
0.05
35
12.2
0.05
35
5.89
0.01
12


WNU32
76578.1
93.3
0.13
29
11.7
0.13
29
5.96
0.07
14


WNU32
76578.3
—
—
—
—
—
—
5.65
0.28
8


WNU32
76580.6
88.5
L
23
11.1
L
23
5.81
L
11


CONT.
—
72.0
—
—
9.00
—
—
5.24
—
—


WNU87
76667.3
62.3
0.15
13
7.79
0.20
11
—
—
—


WNU73
76651.7
64.3
L
17
8.03
L
14
4.92
L
9


WNU73
76653.1
59.9
0.27
9
—
—
—
—
—
—


CONT.
—
54.9
—
—
7.02
—
—
4.52
—
—


WNU33
76581.3
67.9
0.17
6
8.49
0.17
6
—
—
—


WNU33
76584.2
69.5
0.04
9
8.69
0.04
9
5.18
0.20
3


WNU33
76584.3
69.0
0.12
8
8.62
0.12
8
5.17
0.20
3


WNU27
77747.5
71.8
0.22
12
8.97
0.22
12
5.30
0.29
5


WNU27
77748.1
75.4
0.15
18
9.43
0.15
18
5.40
L
7


WNU27
77748.2
77.9
0.03
22
9.73
0.03
22
5.55
L
10


WNU27
77750.1
76.9
0.01
20
9.61
0.01
20
5.48
0.01
9


WNU26
76673.5
—
—
—
—
—
—
5.31
0.17
6


CONT.
—
63.9
—
—
7.98
—
—
5.03
—
—





Table 100: “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.






The genes listed in Table 101 improved plant NUE when grown at standard nitrogen concentration levels. These genes produced faster developing plants when grown under normal (standard) nitrogen growth conditions, compared to control plants, grown under identical growth conditions, as measured by growth rate of leaf number, rosette diameter and plot coverage.







TABLE 101







Genes showing improved rosette growth performance at standard 


nitrogen growth conditions


















RGR Of Plot
RGR Of Rosette













RGR Of Leaf
Coverage
Diameter 




Number
[cm2/day]
[cm/day]

















Gene 


P-
%

P-
%

P-
%


Name
Event #
Ave.
Val.
Incr.
Ave.
Val.
Incr.
Ave. 
Val.
Incr.




















WNU75
76657.1
—
—
—
13.9
0.07
23
—
—
—


WNU75
76658.3
—
—
—
14.7
0.02
30
—
—
—


WNU75
76659.6
0.836
0.26
14
14.5
0.03
28
0.566
0.21
12


WNU54
76641.5
—
—
—
13.5
0.13
19
0.558
0.29
10


WNU54
76643.2
—
—
—
13.3
0.17
17
—
—
—


WNU54
76644.1
0.838
0.24 
14
—
—
—
—
—
—


WNU54
76644.4
0.841
0.23
15
13.6
0.11
20
—
—
—


WNU54
76645.3
—
—
—
12.9
0.27
14
—
—
—


WNU44
76636.1
—
—
—
13.4
0.14
19
—
—
—


WNU44
76636.3
—
—
—
13.4
0.14
18
0.558
0.28
10


WNU44
76639.1
—
—
—
14.3
0.04
26
—
—
—


WNU44
76640.9
—
—
—
13.1
0.23
15
—
—
—


WNU29
76628.1
—
—
—
13.4
0.15
18
0.568
0.20
12


WNU29
76628.9
0.837
0.24
14
13.0
0.23
15
—
—
—


WNU29
76629.3
—
—
—
13.7
0.09
21
—
—
—


WNU18
76562.2
—
—
—
15.1
0.01
33
0.579
0.13
14


WNU18
76564.2
—
—
—
13.9
0.08
22
—
—
—


WNU18
76565.5
—
—
—
14.3
0.04
26
0.565
0.24
11


WNU104
76617.1
—
—
—
13.5
0.13
19
—
—
—


WNU104
76618.3
—
—
—
13.7
0.10
21
—
—
—


WNU104
76619.3
0.863
0.15
18
—
—
—
—
—
—


CONT.
—
0.732
—
—
11.3
—
—
0.507
—
—


WNU45
79666.1
0.782
0.10
19
—
—
—
—
—
—


WNU45
79667.7
0.737
0.27
12
—
—
—
—
—
—


WNU28
76826.1
—
—
—
11.8
0.14
15
0.522
0.04
18


WNU21
75781.10 
—
—
—
12.2
0.08
19
0.519
0.07
17


WNU21
75781.8
—
—
—
11.8
0.14
15
—
—
—


WNU21
75781.9
—
—
—
11.6
0.22
13
—
—
—


WNU21
75784.1
—
—
—
12.0
0.10
17
—
—
—


WNU21
75784.4
—
—
—
11.7
0.18
14
—
—
—


WNU21
75784.6
—
—
—
11.4
0.29
11
—
—
—


WNU13
78921.4
—
—
—
12.3
0.05
20
0.524
0.04
18


WNU13
78923.6
—
—
—
12.1
0.11
18
—
—
—


WNU13
78924.3
—
—
—
11.7
0.17
14
—
—
—


WNU13
78925.3
0.769
0.15
17
12.2
0.06
19
0.511
0.07
15


CONT.
—
0.656
—
—
10.3
—
—
0.444
—
—


WNU92
77124.5
—
—
—
12.2
0.08
19
0.511
0.25
9


WNU72
77086.3
—
—
—
11.5
0.26
11
—
—
—


WNU72
77088.2
—
—
—
12.2
0.07
19
0.520
0.15
11


WNU57
76647.1
—
—
—
12.2
0.08
18
—
—
—


WNU57
76650.2
0.846
0.12
12
11.8
0.15
14
—
—
—


CONT.
—
0.752
—
—
10.3 
—
—
0.470 
—
—


WNU78
76661.4
—
—
—
14.4
0.18
13
—
—
—


WNU78
76662.2
—
—
—
14.8
0.11
16
—
—
—


WNU78
76665.6
—
—
—
15.1
0.06
19
0.607
0.28
9


WNU74
77576.2
0.812
0.26
14
—
—
—
—
—
—


WNU74
77578.4
—
—
—
15.4
0.05
21
0.609
0.30
9


WNU71
77656.1
—
—
—
14.2
0.22
12
—
—
—


WNU67
79413.2
—
—
—
14.2
0.27
11
0.640
0.09
15


WNU67
79413.5
—
—
—
14.2
0.29
11
—
—
—


WNU67
79472.2
—
—
—
14.7
0.12
15
0.609
0.25
9


WNU67
79473.4
—
—
—
14.2
0.27
11
0.611
0.24
9


WNU32
76576.4
—
—
—
16.2
L
27
—
—
—


WNU32
76578.1
—
—
—
16.2
L
27
0.629
0.13
13


WNU32
76578.3
—
—
—
14.5
0.18
14
—
—
—


WNU32
76580.6
—
—
—
15.7
0.02
23
0.611
0.24
9


CONT.
—
0.714
—
—
12.8
—
—
0.559 
—
—


WNU87
76667.1
0.787
0.08
21
—
—
—
—
—
—


WNU87
76667.3
—
—
—
11.6
0.05
14
—
—
—


WNU87
76670.4
0.789
0.07
21
—
—
—
—
—
—


WNU73
76651.7
0.822
0.03
26
12.1
L
19
0.506
0.08
11


WNU73
76653.1
—
—
—
11.1
0.21
9
—
—
—


WNU58
76761.1
0.795
0.05
22
—
—
—
—
—
—


WNU58
76761.5
0.760
0.16
16
—
—
—
—
—
—


WNU58
76764.3
0.743
0.25
14
—
—
—
—
—
—


WNU58
76765.4
0.764
0.15
17
11.1
0.20
10
—
—
—


WNU39
77171.2
0.757
0.21
16
11.4
0.11
12
—
—
—


WNU39
77171.4
0.748
0.21
15
—
—
—
0.491
0.22
8


WNU39
77173.2
0.757
0.18
16
—
—
—
—
—
—


WNU2
77867.5
0.730
0.30
12
—
—
—
—
—
—


WNU2
77868.4
0.734
0.26
12
—
—
—
—
—
—


WNU2
77869.3
0.764
0.18
17
—
—
—
—
—
—


CONT.
—
0.653
—
—
10.2
—
—
0.454
—
—


WNU66
77754.3
0.917
0.22
14
—
—
—
—
—
—


WNU66
77754.4
0.925
0.19
15
—
—
—
—
—
—


WNU60
78878.10
1.00
0.04
25
—
—
—
—
—
—


WNU33
76584.1
0.924
0.19
15
—
—
—
—
—
—


WNU33
76584.2
—
—
—
13.1
0.27
9
—
—
—


WNU27
77747.5
—
—
—
13.1
0.26
9
—
—
—


WNU27
77748.1
—
—
—
13.8
0.06
15
0.580
0.21
8


WNU27
77748.2
—
—
—
14.2
0.03
18
0.590
0.13
10


WNU27
77750.1
—
—
—
14.0
0.04
17
0.573
0.29
7


WNU26
76675.3
0.911
0.23
13
—
—
—
—
—
—


WNU26
76675.4
0.909
0.27
13
—
—
—
—
—
—


CONT.
—
0.803
—
—
12.0
—
—
0.534
—
—





Table 101. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value; L means that p-value is less than 0.01, p < 0.1 was considered as significant.






Example 21
Evaluation of Transgenic Brachypodium Nue and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay
Assay 1: Nitrogen Use Efficiency Measured Plant Biomass and Yield at Limited and Optimal Nitrogen Concentration Under Greenhouse Conditions Until Heading—
This assay follows the plant biomass formation and growth (measured by height) of plants which are grown in the greenhouse at limiting and non-limiting (e.g., normal) nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T1 transgenic seedlings were then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH4NO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 3.6 mM KCl, 2 mM CaCl2 and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH4NO3 with 1 mM KH2PO4, 1 mM MgSO4, 2 mM CaCl2, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until heading. Plant biomass (the above ground tissue) was weighted right after harvesting the shoots (plant fresh weight [FW]). Following, plants were dried in an oven at 70° C. for 48 hours and weighed (plant dry weight [DW]).
Each construct was validated at its T1 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).
The plants were analyzed for their overall size, fresh weight and dry matter. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all, were used as control (FIG. 9B).
The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.
Phenotyping
Plant Fresh and Dry shoot weight—In Heading assays when heading stage has completed (about day 30 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight on semi-analytical scales (0.01 gr) (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).
Time to Heading—In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.
Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.
Plant Height—In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.
Tillers number—In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.
The genes listed in Table 102-105 improved plant biomass, growth rate and NUE when grown at low nitrogen concentration levels (nitrogen-limiting growth conditions; Tables 102-103) and at standard (normal) nitrogen growth conditions (Tables 104-105). These genes produced faster developing plants as compared to control plants which are grown under identical growth conditions, as measured by the increase in biomass (e.g., dry and fresh weight, leaf thickness) and in number of tillers.







TABLE 102







Genes showing improved plant performance at low Nitrogen growth 


conditions under regulation of At6669 promoter













Dry Weight 
Fresh Weight





[mg]
[mg]
Leaf Thickness

















Gene
Event

P-
%

P-
%


%


Name
#
Ave.
Val.
Incr.
Ave
Val.
Incr.
Ave.
P-Val.
Incr.




















CONT.
—
0.233
—
—
0.88
—
—
0.2056
—
—


WNU78
1073
0.258
0.30
10.90
—
—
—
—
—
—


WNU44
1175
0.306
0.05
31.54
1.19
0.02
34.58
0.2254
0.0181
9.6251


WNU78
1184
0.287
0.09
23.48
1.13
0.05
28.48
0.2175
0.2384
5.7751


W NU78
1185
0.271
0.18
16.67
—
—
—
0.2258
0.0073
9.8278


WNU78
1186
0.264
0.21
13.44
—
—
—
—
—
—


WNU44
1194
0.278
0.11
19.68
—
—
—
—
—
—


WNU87
1200
0.279
0.09
20.07
1.01
0.16
14.82





WNU87
1204
0.265
0.22
13.80
—
—
—
0.2197
0.0600
6.8288


WNU92
1240
0.32
0.01
35.81
1.13
0.01
28.01
0.2251
0.0176
9.4630





Table 102. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.













TABLE 103







Genes showing improved plant performance at low Nitrogen 


growth conditions under regulation of At6669 promoter










Gene
Event
Tiller Number
Time to Heading [day]














Name
#
Ave.
P-Val.
% Incr.
Ave.
P-Val.
% Incr.





CONT.
—
3.92
—
—
28.84
—
—


WNU78
1073
—
—
—
27.54
0.24
−4.49


WNU44
1175
4.67
0.15
19.15
—
—
—


WNU78
1184
—
—
—
27.00
0.19
−6.37


WNU78
1186
—
—
—
27.25
0.18
−5.50


WNU44
1194
—
—
—
21.37
0.00
−25.91


WNU87
1200
—
—
—
26.46
0.04
−8.25


WNU87
1204
—
—
—
26.18
0.07
−9.20


WNU87
1206
4.55
0.25
16.17
26.90
0.09
−6.72


WNU92
1240
—
—
—
27.14
0.16
−5.88





Table 103. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.






It should be noted that a negative increment (in percentages) when found in time to heading indicates potential for drought avoidance.







TABLE 104







Genes showing improved plant performance at Normal growth conditions under


regulation of At6669 promoter













Dry Weight [mg]
Fresh Weight [mg]
















Gene
Event

P-
%

P-

Leaf Thickness

















Name
#
Ave.
Val.
Incr.
Ave.
Val.
% Incr.
Ave.
P-Val.
% Incr.





CONT
—
0.448
—
—
2.19
—
—
0.2223
—
—


WNU78
1074
0.533
0.08
18.99
—
—
—
—
—
—


WNU44
1175
0.520
0.19
16.20
—
—
—
0.2375
0.0844
6.841612


WNU78
1184
0.576
0.04
28.77
2.68
0.04
22.48
—
—
—


WNU78
1185
0.593
0.03
32.40
2.62
0.14
19.62
0.2354
0.1512
5.9044


WNU78
1186
0.497
0.26
11.08
—
—
—
—
—
—


WNU44
1194
0.546
0.04
22.07
—
—
—
—
—
—


WNU87
1200
0.548
0.06
22.44
2.45
0.22
12.15
—
—
—


WNU87
1201
—
—
—
2.49
0.22
13.89
0.2333
0.2509
4.9672


WNU87
1203
0.576
0.04
28.77
2.80
0.03
28.12
—
—
—


WNU87
1204
0.580
0.01
29.52
2.48
0.17
13.37
—
—
—


WNU87
1211
0.498
0.30
11.36
—
—
—
0.2367
0.1632
6.4667


WNU92
1240
0.636
0.00
42.12
2.75
0.02
25.52
0.2345
0.2044
5.4920





Table 104. “CONT.”—Control; “Ave”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.













TABLE 105







Genes showing improved plant performance at Normal growth 


conditions under regulation of At6669 promoter

















Time to Heading










Gene
Event 
Tiller Number
[day]














Name
#
Ave. 
P-Val.
% Incr.
Ave.
P-Val.
% Incr.





CONT.
—
5.81
—
—
29.44
—
—


WNU78
1074
—
—
—
26.25
0.06
−10.83


WNU78
1186
—
—
—
27.40
0.17
−6.92


WNU44
1194
—
—
—
23.00
L
−21.87


WNU87
1200
7.79
0.15
34.05
—
—
—


WNU87
1203
7.79
0.15
34.05
28.94
0.75
−1.68


WNU87
1204
—
—
—
25.13
0.01
−14.65


WNU92
1240
—
—
—
27.52
0.19
−6.51





Table 105. “CONT.”—Control; “Ave.”—Average; “% Incr.” = % increment; “p-val.”—p-value, L—p < 0.01.






It should be noted that a negative increment (in percentages) when found in time to heading indicates potential for drought avoidance.

Example 22
Evaluation of Transgenic Brachypodium Nue and Yield Under Low or Normal Nitrogen Fertilization in Greenhouse Assay
Assay 2: Nitrogen Use Efficiency Measured Plant Biomass and Yield at Limited and Optimal Nitrogen Concentration Under Greenhouse Conditions Until Seed Maturation—
This assay follows the plant biomass and yield production of plants that were grown in the greenhouse at limiting and non-limiting nitrogen growth conditions. Transgenic Brachypodium seeds were sown in peat plugs. The T1 transgenic seedlings were then transplanted to 27.8×11.8×8.5 cm trays filled with peat and perlite in a 1:1 ratio. The trays were irrigated with a solution containing nitrogen limiting conditions, which were achieved by irrigating the plants with a solution containing 3 mM inorganic nitrogen in the form of NH4NO3, supplemented with 1 mM KH2PO4, 1 mM MgSO4, 3.6 mM KCl, 2 mM CaCl2 and microelements, while normal nitrogen levels were achieved by applying a solution of 6 mM inorganic nitrogen also in the form of NH4NO3 with 1 mM KH2PO4, 1 mM MgSO4, 2 mM CaCl2, 3.6 mM KCl and microelements. All plants were grown in the greenhouse until seed maturation. Each construct was validated at its T1 generation. Transgenic plants transformed with a construct conformed by an empty vector carrying the BASTA selectable marker were used as control (FIG. 9B).
The plants were analyzed for their overall biomass, fresh weight and dry matter, as well as a large number of yield and yield components related parameters. Transgenic plants performance was compared to control plants grown in parallel under the same conditions. Mock-transgenic plants with no gene and no promoter at all (FIG. 9B). The experiment was planned in blocks and nested randomized plot distribution within them. For each gene of the invention five independent transformation events were analyzed from each construct.
Phenotyping
Plant Fresh and Dry vegetative weight—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the plants were harvested and directly weighed for the determination of the plant fresh weight (FW) and left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine plant dry weight (DW).
Spikelets Dry weight (SDW)—In Seed Maturation assays when maturity stage has completed (about day 80 from sowing), the spikelets were separated from the biomass, left to dry at 70° C. in a drying chamber for about 48 hours before weighting to determine spikelets dry weight (SDW).
Grain Yield per Plant—In Seed Maturation assays after drying of spikelets for SDW, spikelets were run through production machine, then through cleaning machine, until seeds were produced per plot, then weighed and Grain Yield per Plant was calculated.
Grain Number—In Seed Maturation assays after seeds per plot were produced and cleaned, the seeds were run through a counting machine and counted.
1000 Seed Weight—In Seed Maturation assays after seed production, a fraction was taken from each sample (seeds per plot;  ̃0.5 gr), counted and photographed. 1000 seed weight was calculated.
Harvest Index—In Seed Maturation assays after seed production, harvest index was calculated by dividing grain yield and vegetative dry weight.
Time to Heading—In both Seed Maturation and Heading assays heading was defined as the full appearance of the first spikelet in the plant. The time to heading occurrence is defined by the date the heading is completely visible. The time to heading occurrence date was documented for all plants and then the time from planting to heading was calculated.
Leaf thickness—In Heading assays when minimum 5 plants per plot in at least 90% of the plots in an experiment have been documented at heading, measurement of leaf thickness was performed using a micro-meter on the second leaf below the flag leaf.
Grain filling period—In Seed Maturation assays maturation was defined by the first color-break of spikelet+stem on the plant, from green to yellow/brown.
Plant Height—In both Seed Maturation and Heading assays once heading was completely visible, the height of the first spikelet was measured from soil level to the bottom of the spikelet.
Tillers number—In Heading assays manual count of tillers was preformed per plant after harvest, before weighing.
Number of reproductive heads per plant—In Heading assays manual count of heads per plant was performed.
Statistical analyses—To identify genes conferring significantly improved tolerance to abiotic stresses, the results obtained from the transgenic plants were compared to those obtained from control plants. To identify outperforming genes and constructs, results from the independent transformation events tested were analyzed separately. Data was analyzed using Student's t-test and results were considered significant if the p value was less than 0.1. The JMP statistics software package was used (Version 5.2.1, SAS Institute Inc., Cary, N.C., USA).
Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the art. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.
All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting.

## Claims

1. A method of increasing nitrogen use efficiency, and/or tolerance to nitrogen deficiency of a plant, comprising:
(a) over-expressing within the plant a polypeptide comprising the amino acid sequence set forth by SEQ ID NO: 204,
(b) measuring dry and/or fresh weight of a plant over-expressing said polypeptide under nitrogen deficiency, and
(c) selecting a plant resultant from step (b) over-expressing said polypeptide and having an increased dry and/or fresh weight under said nitrogen deficiency as compared to a control plant grown under the same growth conditions,
thereby increasing the nitrogen use efficiency, and/or the tolerance to the nitrogen deficiency of the plant.

2. The method of claim 1, wherein a polynucleotide encoding said polypeptide comprises the nucleic acid sequence set forth by SEQ ID NO: 114 or SEQ ID NO:3, or a codon-optimized sequence thereof.

3. The method of claim 1, further comprising growing the plant expressing said exogenous polynucleotide under nitrogen-limiting conditions.

4. The method of claim 1, further comprising:
(d) isolating a regenerable portion of said plant selected according to step (c) having said increased dry and/or fresh weight under said nitrogen deficiency as compared to a control plant under the same growth conditions so as to obtain isolated regenerable portion of said selected plants; and
(e) regenerating plants from said isolated regenerable portion of said selected plant to thereby obtain plants characterized by said increased nitrogen use efficiency and/or by said increased tolerance to nitrogen deficiency.

5. A method of increasing nitrogen use efficiency, and/or tolerance to nitrogen deficiency of a plant, comprising:
(a) over-expressing within the plant a polypeptide exhibiting at least 95% sequence identity to the amino acid sequence set forth by SEQ ID NO:204 and having conservative amino acid substitutions with respect to the amino acid sequence set forth by SEQ ID NO:204, wherein said polypeptide increases nitrogen use efficiency and/or tolerance to nitrogen deficiency of a plant, and
(b) measuring dry and/or fresh weight of a plant over-expressing said polypeptide under nitrogen deficiency, and
(c) selecting a plant resultant from step (b) over-expressing said polypeptide and having an increased dry and/or fresh weight under said nitrogen deficiency as compared to a control plant grown under the same growth conditions,
thereby increasing the nitrogen use efficiency, and/or the tolerance to the nitrogen deficiency of the plant.

6. The method of claim 5, further comprising:
(d) isolating a regenerable portion of said plant selected according to step (c) having said increased dry and/or fresh weight under said nitrogen deficiency as compared to a control plant under the same growth conditions so as to obtain isolated regenerable portion of said selected plants; and
(e) regenerating plants from said isolated regenerable portion of said selected plant to thereby obtain plants characterized by said increased nitrogen use efficiency and/or by said increased tolerance to nitrogen deficiency.

7. The method of claim 5, wherein said amino acid sequence is selected from the group consisting of SEQ ID NOs: 204, and 4069-4073.

8. The method of claim 5, wherein said amino acid sequence is set forth by SEQ ID NO: 204.