bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping Quantitative Trait Loci in Multiple Populations of Arabidopsis thaliana Identifies Natural Allelic Variation for Trichome Density
Authors: Symonds V Vaughan , Godoy A Veronica , Alconada Teresa , Botto Javier F , Juenger Thomas E , Casal Jorge J , Lloyd Alan M 
Published: January 2005

Abstract
The majority of biological traits are genetically complex. Mapping the quantitative trait loci (QTL) that determine these phenotypes is a powerful means for estimating many parameters of the genetic architecture for a trait and potentially identifying the genes responsible for natural variation. Typically, such experiments are conducted in a single mapping population and, therefore, have only the potential to reveal genomic regions that are polymorphic between the progenitors of the population. What remains unclear is how well the QTL identified in any one mapping experiment characterize the genetics that underlie natural variation in traits. Here we provide QTL mapping data for trichome density from four recombinant inbred mapping populations of Arabidopsis thaliana. By aligning the linkage maps for these four populations onto a common physical map, the results from each experiment were directly compared. Seven of the nine QTL identified are population specific while two were mapped in all four populations. Our results show that many lineage-specific alleles that either increase or decrease trichome density persist in natural populations and that most of this genetic variation is additive. More generally, these findings suggest that the use of multiple populations holds great promise for better understanding the genetic architecture of natural variation.
Detecting Amino Acid Sites Under Positive Selection and Purifying Selection
Authors: Massingham Tim , Goldman Nick 
Published: January 2005

Abstract
An excess of nonsynonymous over synonymous substitution at individual amino acid sites is an important indicator that positive selection has affected the evolution of a protein between the extant sequences under study and their most recent common ancestor. Several methods exist to detect the presence, and sometimes location, of positively selected sites in alignments of protein-coding sequences. This article describes the “sitewise likelihood-ratio” (SLR) method for detecting nonneutral evolution, a statistical test that can identify sites that are unusually conserved as well as those that are unusually variable. We show that the SLR method can be more powerful than currently published methods for detecting the location of positive selection, especially in difficult cases where the strength of selection is low. The increase in power is achieved while relaxing assumptions about how the strength of selection varies over sites and without elevated rates of false-positive results that have been reported with some other methods. We also show that the SLR method performs well even under circumstances where the results from some previous methods can be misleading.
Statistical Tests of the Coalescent Model Based on the Haplotype Frequency Distribution and the Number of Segregating Sites
Authors: Innan Hideki , Zhang Kangyu , Marjoram Paul , Tavaré Simon , Rosenberg Noah A 
Published: January 2005

AbstractSeveral tests of neutral evolution employ the observed number of segregating sites and properties of the haplotype frequency distribution as summary statistics and use simulations to obtain rejection probabilities. Here we develop a “haplotype configuration test” of neutrality (HCT) based on the full haplotype frequency distribution. To enable exact computation of rejection probabilities for small samples, we derive a recursion under the standard coalescent model for the joint distribution of the haplotype frequencies and the number of segregating sites. For larger samples, we consider simulation-based approaches. The utility of the HCT is demonstrated in simulations of alternative models and in application to data from Drosophila melanogaster.
Serotonin (5HT), Fluoxetine, Imipramine and Dopamine Target Distinct 5HT Receptor Signaling to Modulate Caenorhabditis elegans Egg-Laying Behavior
Authors: Dempsey Catherine M , Mackenzie Scott M , Gargus Andrew , Blanco Gabriela , Sze Ji Ying 
Published: January 2005

AbstractDrugs that target the serotonergic system are the most commonly prescribed therapeutic agents and are used for treatment of a wide range of behavioral and neurological disorders. However, the mechanism of the drug action remain a conjecture. Here, we dissect the genetic targets of serotonin (5HT), the selective 5HT reuptake inhibitor (SSRI) fluoxetine (Prozac), the tricyclic antidepressant imipramine, and dopamine. Using the well-established serotonergic response in C. elegans egg-laying behavior as a paradigm, we show that action of fluoxetine and imipramine at the 5HT reuptake transporter (SERT) and at 5HT receptors are separable mechanisms. Even mutants completely lacking 5HT or SERT can partially respond to fluoxetine and imipramine. Furthermore, distinct mechanisms for each drug can be recognized to mediate these responses. Deletion of SER-1, a 5HT1 receptor, abolishes the response to 5HT but has only a minor effect on the response to imipramine and no effect on the response to fluoxetine. In contrast, deletion of SER-4, a 5HT2 receptor, confers significant resistance to imipramine while leaving the responses to 5HT or fluoxetine intact. Further, fluoxetine can stimulate egg laying via the Gq protein EGL-30, independent of SER-1, SER-4, or 5HT. We also show that dopamine antagonizes the 5HT action via the 5HT-gated ion channel MOD-1 signaling, suggesting that this channel activity couples 5HT and dopamine signaling. These results suggest that the actions of these drugs at specific receptor subtypes could determine their therapeutic efficacy. SSRIs and tricyclic antidepressants may regulate 5HT outputs independently of synaptic levels of 5HT.
Segregation Distortion in Hybrids Between the Bogota and USA Subspecies of Drosophila pseudoobscura
Authors: Orr H Allen , Irving Shannon 
Published: January 2005

AbstractWe show that, contrary to claims in the literature, “sterile” males resulting from the cross of the Bogota and USA subspecies of Drosophila pseudoobscura are weakly fertile. Surprisingly, these hybrid males produce almost all daughters when crossed to females of any genotype (pure Bogota, pure USA, hybrid F1). Several lines of evidence suggest that this sex ratio distortion is caused by sex chromosome segregation distortion in hybrid males. We genetically analyze this normally cryptic segregation distortion and show that it involves several regions of the Bogota X chromosome that show strong epistatic interactions with each other. We further show that segregation distortion is normally masked within the Bogota subspecies by autosomal suppressors. Our analysis shows that the genetic basis of hybrid segregation distortion is similar to that of hybrid male sterility between the same subspecies. Indeed the severity of segregation distortion is correlated with the severity of sterility among hybrids. We discuss the possibility that hybrid sterility in this paradigmatic case of incipient speciation is caused by segregation distortion.
The WD40 Repeat Protein Fritz Links Cytoskeletal Planar Polarity to Frizzled Subcellular Localization in the Drosophila Epidermis
Authors: Collier Simon , Lee Haeryun , Burgess Rosemary , Adler Paul 
Published: January 2005

Abstract
Much of our understanding of the genetic mechanisms that control planar cell polarity (PCP) in epithelia has derived from studies of the formation of polarized cell hairs during Drosophila wing development. The correct localization of an F-actin prehair to the distal vertex of the pupal wing cell has been shown to be dependent upon the polarized subcellular localization of Frizzled and other core PCP proteins. However, the core PCP proteins do not organize actin cytoskeletal polarity directly but require PCP effector proteins such as Fuzzy and Inturned to mediate this process. Here we describe the characterization of a new PCP effector gene, fritz, that encodes a novel but evolutionarily conserved coiled-coil WD40 protein. We show that the fritz gene product functions cell-autonomously downstream of the core PCP proteins to regulate both the location and the number of wing cell prehair initiation sites.
MLH1 and MSH2 Promote the Symmetry of Double-Strand Break Repair Events at the HIS4 Hotspot in Saccharomyces cerevisiae
Authors: Hoffmann Eva R , Eriksson Emma , Herbert Benjamin J , Borts Rhona H 
Published: January 2005

Abstract
Double-strand breaks (DSBs) initiate meiotic recombination. The DSB repair model predicts that both genetic markers spanning the DSB should be included in heteroduplex DNA and be detectable as non-Mendelian segregations (NMS). In experiments testing this, a significant fraction of events do not conform to this prediction, as only one of the markers displays NMS (one-sided events). Two explanations have been proposed to account for the discrepancies between the predictions and experimental observations. One suggests that two-sided events are the norm but are “hidden” as heteroduplex repair frequently restores the parental configuration of one of the markers. Another explanation posits that one-sided events reflect events in which heteroduplex is formed predominantly on only one side of the DSB. In the absence of heteroduplex repair, the first model predicts that two-sided events would be revealed at the expense of one-sided events, while the second predicts no effect on the distribution of events when heteroduplex repair is lost. We tested these predictions by deleting the DNA mismatch repair genes MSH2 or MLH1 and analyzing the proportion of two-sided events. Unexpectedly, the results do not match the predictions of either model. In both mlh1Δ and msh2Δ, the proportion of two-sided events is significantly decreased relative to wild type. These observations can be explained in one of two ways. Either Msh2p/Mlh1p-independent mispair removal leads to restoration of one of the markers flanking the DSB site or Msh2p/Mlh1p actively promote two-sided events.
Trans Events Associated With Crossovers Are Revealed in the Absence of Mismatch Repair Genes in Saccharomyces cerevisiae
Authors: Hoffmann Eva R , Borts Rhona H 
Published: January 2005

Abstract
Genetic analysis of recombination in Saccharomyces cerevisiae has revealed products with structures not predicted by the double-strand break repair model of meiotic recombination. A particular type of recombinant containing trans heteroduplex DNA has been observed at two loci. Trans events were originally identified only in tetrads in which the non-Mendelian segregations were not associated with a crossover. Because of this, these events were proposed to have arisen from the unwinding of double Holliday junctions. Previous studies used palindromes, refractory to mismatch repair, as genetic markers whereas we have used a complementary approach of deleting mismatch repair proteins to identify heteroduplex DNA. We found that the markers occurred in trans and were associated with crossovers. In both mlh1Δ and msh2Δ strains, the frequency of trans events associated with a crossover exceeded that predicted from the random association of crossovers with noncrossover trans events. We propose two different models to account for trans events associated with crossovers and discuss the relevance to wild-type DSB repair.
A Multilocus Sequence Survey in Arabidopsis thaliana Reveals a Genome-Wide Departure From a Neutral Model of DNA Sequence Polymorphism
Authors: Schmid Karl J , Ramos-Onsins Sebastian , Ringys-Beckstein Henriette , Weisshaar Bernd , Mitchell-Olds Thomas 
Published: January 2005

Abstract
The simultaneous analysis of multiple genomic loci is a powerful approach to studying the effects of population history and natural selection on patterns of genetic variation of a species. By surveying nucleotide sequence polymorphism at 334 randomly distributed genomic regions in 12 accessions of Arabidopsis thaliana, we examined whether a standard neutral model of nucleotide sequence polymorphism is consistent with observed data. The average nucleotide diversity was 0.0071 for total sites and 0.0083 for silent sites. Although levels of diversity are variable among loci, no correlation with local recombination rate was observed, but polymorphism levels were correlated for physically linked loci (&lt;250 kb). We found that observed distributions of Tajima's D- and D/Dmin- and of Fu and Li's D-, D*- and F-, F*-statistics differed significantly from the expected distributions under a standard neutral model due to an excess of rare polymorphisms and high variances. Observed and expected distributions of Fay and Wu's H were not different, suggesting that demographic processes and not selection at multiple loci are responsible for the deviation from a neutral model. Maximum-likelihood comparisons of alternative demographic models like logistic population growth, glacial refugia, or past bottlenecks did not produce parameter estimates that were more consistent with observed patterns. However, exclusion of highly polymorphic “outlier loci” resulted in a fit to the logistic growth model. Various tests of neutrality revealed a set of candidate loci that may evolve under selection.
Combining Data From Multiple Inbred Line Crosses Improves the Power and Resolution of Quantitative Trait Loci Mapping
Authors: Li Renhua , Lyons Malcolm A , Wittenburg Henning , Paigen Beverly , Churchill Gary A 
Published: January 2005

Abstract
Rodent inbred line crosses are widely used to map genetic loci associated with complex traits. This approach has proven to be powerful for detecting quantitative trait loci (QTL); however, the resolution of QTL locations, typically ∼20 cM, means that hundreds of genes are implicated as potential candidates. We describe analytical methods based on linear models to combine information available in two or more inbred line crosses. Our strategy is motivated by the hypothesis that common inbred strains of the laboratory mouse are derived from a limited ancestral gene pool and thus QTL detected in multiple crosses are likely to represent shared ancestral polymorphisms. We demonstrate that the combined-cross analysis can improve the power to detect weak QTL, can narrow support intervals for QTL regions, and can be used to separate multiple QTL that colocalize by chance. Moreover, combined-cross analysis can establish the allelic states of a QTL among a set of parental lines, thus providing critical information for narrowing QTL regions by haplotype analysis.
Sex-Linked Differentiation Between Incipient Species of Anopheles gambiae
Authors: Stump Aram D , Shoener Jennifer A , Costantini Carlo , Sagnon N'Fale , Besansky Nora J 
Published: January 2005

Abstract
Emerging species within the primary malaria vector Anopheles gambiae show different ecological preferences and significant prezygotic reproductive isolation. They are defined by fixed sequence differences in X-linked rDNA, but most previous studies have failed to detect large and significant differentiation between these taxa elsewhere in the genome, except at two other loci on the X chromosome near the rDNA locus. Hypothesizing that this pericentromeric region of the X chromosome may be accumulating differences faster than other regions of the genome, we explored the pattern and extent of differentiation between A. gambiae incipient species and a sibling species, A. arabiensis, from Burkina Faso, West Africa, at 17 microsatellite loci spanning the X chromosome. Interspecific differentiation was large and significant across the entire X chromosome. Among A. gambiae incipient species, we found some of the highest levels of differentiation recorded in a large region including eight independent loci near the centromere of the X chromosome. Outside of this region, no significant differentiation was detected. This pattern suggests that selection is playing a role in the emergence of A. gambiae incipient species. This process, associated with efficient exploitation of anthropogenic modifications to the environment, has public health implications as it fosters the spread of malaria transmission both spatially and temporally.
The Genetic Basis for Inflorescence Variation Between Foxtail and Green Millet (Poaceae)
Authors: Doust Andrew N , Devos Katrien M , Gadberry Mike D , Gale Mike D , Kellogg Elizabeth A 
Published: January 2005

Abstract
Grass species differ in many aspects of inflorescence architecture, but in most cases the genetic basis of the morphological difference is unknown. To investigate the genes underlying the morphology in one such instance, we undertook a developmental and QTL analysis of inflorescence differences between the cereal grain foxtail millet and its presumed progenitor green millet. Inflorescence differences between these two species are the result of changes in primary branch number and density, spikelet number, and bristle (sterile branchlet) number; these differences also account for inflorescence variation within the clade of 300+ species that share the presence of bristles in the inflorescence. Fourteen replicated QTL were detected for the four inflorescence traits, and these are suggested to represent genes that control differences between the species. Comparative mapping using common markers from rice and maize allowed a number of candidate genes from maize to be localized to QTL regions in the millet genome. Searches of regions of the sequenced rice genome orthologous to QTL regions on foxtail millet identified a number of transcription factors and hormone pathway genes that may be involved in control of inflorescence branching.
Genetic Structure and Diversity in Oryza sativa L.
Authors: Garris Amanda J , Tai Thomas H , Coburn Jason , Kresovich Steve , McCouch Susan 
Published: January 2005

Abstract
The population structure of domesticated species is influenced by the natural history of the populations of predomesticated ancestors, as well as by the breeding system and complexity of the breeding practices exercised by humans. Within Oryza sativa, there is an ancient and well-established divergence between the two major subspecies, indica and japonica, but finer levels of genetic structure are suggested by the breeding history. In this study, a sample of 234 accessions of rice was genotyped at 169 nuclear SSRs and two chloroplast loci. The data were analyzed to resolve the genetic structure and to interpret the evolutionary relationships between groups. Five distinct groups were detected, corresponding to indica, aus, aromatic, temperate japonica, and tropical japonica rices. Nuclear and chloroplast data support a closer evolutionary relationship between the indica and the aus and among the tropical japonica, temperate japonica, and aromatic groups. Group differences can be explained through contrasting demographic histories. With the availability of rice genome sequence, coupled with a large collection of publicly available genetic resources, it is of interest to develop a population-based framework for the molecular analysis of diversity in O. sativa.
Modeling Quantitative Trait Loci and Interpretation of Models
Authors: Zeng Zhao-Bang , Wang Tao , Zou Wei 
Published: January 2005

Abstract
A quantitative genetic model relates the genotypic value of an individual to the alleles at the loci that contribute to the variation in a population in terms of additive, dominance, and epistatic effects. This partition of genetic effects is related to the partition of genetic variance. A number of models have been proposed to describe this relationship: some are based on the orthogonal partition of genetic variance in an equilibrium population. We compare a few representative models and discuss their utility and potential problems for analyzing quantitative trait loci (QTL) in a segregating population. An orthogonal model implies that estimates of the genetic effects are consistent in a full or reduced model in an equilibrium population and are directly related to the partition of the genetic variance in the population. Linkage disequilibrium does not affect the estimation of genetic effects in a full model, but would in a reduced model. Certainly linkage disequilibrium would complicate the detection of QTL and epistasis. Using different models does not influence the detection of QTL and epistasis. However, it does influence the estimation and interpretation of genetic effects.
Gene Clusters for Insecticidal Loline Alkaloids in the Grass-Endophytic Fungus Neotyphodium uncinatum
Authors: Spiering Martin J , Moon Christina D , Wilkinson Heather H , Schardl Christopher L 
Published: January 2005

Abstract
Loline alkaloids are produced by mutualistic fungi symbiotic with grasses, and they protect the host plants from insects. Here we identify in the fungal symbiont, Neotyphodium uncinatum, two homologous gene clusters (LOL-1 and LOL-2) associated with loline-alkaloid production. Nine genes were identified in a 25-kb region of LOL-1 and designated (in order) lolF-1, lolC-1, lolD-1, lolO-1, lolA-1, lolU-1, lolP-1, lolT-1, and lolE-1. LOL-2 contained the homologs lolC-2 through lolE-2 in the same order and orientation. Also identified was lolF-2, but its possible linkage with either cluster was undetermined. Most lol genes were regulated in N. uncinatum and N. coenophialum, and all were expressed concomitantly with loline-alkaloid biosynthesis. A lolC-2 RNA-interference (RNAi) construct was introduced into N. uncinatum, and in two independent transformants, RNAi significantly decreased lolC expression (P &lt; 0.01) and loline-alkaloid accumulation in culture (P &lt; 0.001) compared to vector-only controls, indicating involvement of lolC in biosynthesis of lolines. The predicted LolU protein has a DNA-binding site signature, and the relationships of other lol-gene products indicate that the pathway has evolved from various different primary and secondary biosynthesis pathways.
Variogram Analysis of the Spatial Genetic Structure of Continuous Populations Using Multilocus Microsatellite Data
Authors: Wagner Helene H , Holderegger Rolf , Werth Silke , Gugerli Felix , Hoebee Susan E , Scheidegger Christoph 
Published: January 2005

AbstractA geostatistical perspective on spatial genetic structure may explain methodological issues of quantifying spatial genetic structure and suggest new approaches to addressing them. We use a variogram approach to (i) derive a spatial partitioning of molecular variance, gene diversity, and genotypic diversity for microsatellite data under the infinite allele model (IAM) and the stepwise mutation model (SMM), (ii) develop a weighting of sampling units to reflect ploidy levels or multiple sampling of genets, and (iii) show how variograms summarize the spatial genetic structure within a population under isolation-by-distance. The methods are illustrated with data from a population of the epiphytic lichen Lobaria pulmonaria, using six microsatellite markers. Variogram-based analysis not only avoids bias due to the underestimation of population variance in the presence of spatial autocorrelation, but also provides estimates of population genetic diversity and the degree and extent of spatial genetic structure accounting for autocorrelation.