# Development of Novel Protocol to Al3+ Stress Tolerance at Germination Stage inIndica Rice through Statistical Approaches

Authors: Nusrat Jahan; Fazilah Abd Manan; Arsala Mansoor; Mudassir Asrar Zaidi; Muhammad Naeem Shahwani; Muhammad Arshad Javed
Journal: The Scientific World Journal
 (2018)

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## Abstract

Rice production is decreasing by abiotic stresses like heavy metals. In such circumstances, producing food for growing human population is a challenge for plant breeders. Excess of Al3+ in soil has become threat for high yield of rice. Improvement of crop is one of potential solution for high production. The aim of this study was to develop the new method for optimization of Al3+ toxicity tolerance inindicarice at germination stag using two-way ANOVA and Duncan’s multiple-range test (DMRT). Seeds of twoindica rice cultivars (Pokkali andPak Basmati) were exposed in different concentrations (control, 5 mM, 15 mM, and 20 mM) of Al3+ toxicity at pH 4 ±0.2 for two weeks. Germination traits such as final germination percentage (FG%), germination energy (GE), germination speed (GS), germination index (GI), mean time of germination (MGT), germination value (GV), germination velocity (GVe), peak value of germination (GPV), and germination capacity (GC) and growth traits such as root length (RL), shoot length (SL), total dry biomass (TDB), and germination vigour index (GVI) were measured. To obtain the maximum number of significance (≤ 0.01%) parameters in each concentration of Al3+ toxicity with control, two-way ANOVA was established and comparison of mean was done using DMRT. The results showed that 5 mM, 10 mM, and 15 mM have less significant effects on the above-mentioned parameters. However, 20 mM concentration of Al3+ produced significant effects (≤ 0.01%). Therefore, 20 mM of Al3+ is considered optimized limit forindica cultivars (Pokkali andPak Basmati).


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## Body

## 1. Background

Acidic soils are one of the main constraints for crop production. Almost 30-40% of world soils have a pH below 5.5 [1]. The lower the pH, the more acidic the soil. Acidic soils are low in fertility due to the presence of combined mineral toxicities (Al3+, Mn2+, and Fe2+) and deficiency of macronutrients (phosphorous (P), calcium (Ca), and magnesium (Mg) [2]. At low pH of the soil, aluminum and other various species like Fe2+ and Mn2+ are solubilized into the soil, which are severely toxic to rice crop production. Heavy rainfall and high-temperature cause the rapid weathering of soil and the essential elements like Ca, P, and K leach from the soil; more stable compounds rich in Al3+ and Fe2+ oxides are left behind [3]. Al3+ is primarily found as a significant component of soil clays. Under highly acidic soil conditions (pH<5.0) it is solubilized to Al3+, which is highly phytotoxic. Al3+ affects the root growth rapidly that causes the reduced and stunted root system and has a direct effect on the ability of a crop to acquire both water and nutrients.Al3+ toxicity is reducing production on acidic soils due to inhibition of root growth, reduction in cell division, and cell elongation [4]. To reduce the cell elongation, Al3+ may bind to free carboxyl groups of pectin, resulting in cross-linking of pectin molecules and a decrease in cell wall elasticity [5].Acidic soils are becoming an issue with the changing environment; reduction of available arable lands due to weathering of soils, unsustainable farming and toxic soils, rigorous agricultural practices, acid rain, and climate change are the contributors to soil acidification [6, 7]. Cultural strategies, like application of lime (CaCO3), could amend the few constraints of acidic soils and lead to increase in production [6]. However, liming is only effective at increasing the pH in the upper soil profile and is mostly unproductive when the subsoil is acidic [8]. It has reported that approximately 75% of the acidic soils in the world are influenced by subsoil acidity. In many regions of the world, liming is also not effective due to high cost and lacking of infrastructure. Therefore, developing Al3+ tolerant crops tolerating the acidic soils has great importance for breeding programs worldwide. Identification of QTL linked to tolerance traits is one of the important techniques. The aim of present study was to find the statistical approach that could ease for optimization of Al3+ toxicity tolerance level for two commonly usedindica ricePokkaliandPak Basmati against high concentrations of Al3+ toxicity at germination stage.


## 2. Materials and Methods

The parental genotypes,Pak Basmati andPokkali, were exposed to different levels of Al3+ toxicity to optimize the optimum stress limits. Seeds were kept in 50°C for five days to break dormancy and surface sterilized by dipping in 70% (v/v) ethanol for 1 min and in 2% (w/v) solution of NaOCl for 10min followed by washing 4-5 times with deionized water [9]. Surface sterilized and imbedded seeds were then placed in wet Petri dishes for two weeks by the addition of Al3+ stresses (control, 5 mM,15 mM, and 20 mM) at pH4.0-4.2; each treatment had three replications where it has been determined to be a good standardization to natural soil condition where Al3+ toxicity is the problem [10]. Experiments were conducted in control condition, where the light and dark periods were 14 hours and 10 hours, respectively, with humidity level of approx. 60%. Seeds were considered germinated when both the plumule (root) and radical (shoot) were extended to approximately more than 2mm [11]. Germination parameters such as final germination percentage (FG %), germination velocity (GVe), germination energy (GE), germination peak value (GPV), germination capacity (GC), germination index (GI), germination value (GV) and growth parameters like root length (RL), shoot length (SL), total dry biomass (TDB), and germination vigour index (GVI) were recorded by the following formulas.(1)iFG%=Number  of  germinated  seedsTotal  number  of  seeds  testediiGVe=∑Gtwhere G is germination percentage and t is total germination time;(2)iiiMGT=ΣDnΣndaysivGE%=Number  of  germinated  seeds  at  4  DASTotal  number  of  seeds  tested×100vGV=finalMDG×PVviSG=Number  of  germinated  seedsdays  of  1st  count+⋯+Number  of  germinated  seedsdays  of  final  count9  daysviiGPV=CumulativePercentGerminationoneachdaynumberofdaysaftergerminationelapsed.viiiGI=N10+N1520×100where N10 is number of germinated seeds with 10 days of stress and N15 is number of germinated seeds with 15 days of the stress(3)xiGC=Percentageofseedsgerminatedat160hours.xGVI=Avgshootlength+Avgrootlength×Germinationpercentage[12–14].


### 2.1. Statistical Analysis

Statistical analysis was done with SPSS version 18 (Levesque, 2007). To establish the different significance of variables in each concentration of Al3+ toxicity with control, analysis of variance (two-way ANOVA) was tested. Two significance levels, p (≤0.05 to ≤0.01), were used [15]. Differences between genotypes were compared using Duncan’s multiple-range test (DMRT). Al3+ concentration was considered as optimized where most of germination and growth parameters exhibited high significant differences [16]


## 2.1. Statistical Analysis

Statistical analysis was done with SPSS version 18 (Levesque, 2007). To establish the different significance of variables in each concentration of Al3+ toxicity with control, analysis of variance (two-way ANOVA) was tested. Two significance levels, p (≤0.05 to ≤0.01), were used [15]. Differences between genotypes were compared using Duncan’s multiple-range test (DMRT). Al3+ concentration was considered as optimized where most of germination and growth parameters exhibited high significant differences [16]


## 3. Results and Discussion

The inhibitory effects of Al3+ toxicity were checked on rice genotypesPak Basmati andPokkali, germination and seedling growth parameters were examined over a wide range of AlCl3 from 5 mM to 20 mM with three replications. ANOVA was applied to the germination and growth parameters of all treatments, i.e., 5 mM, 10 mM, 15 mM, and 20 mM.Analysis of variance showed that the germination parameters in 5 mM of AlCl3 are relatively less sensitive in bothPak Basmati andPokkali as shown in Table 1. No significant variations were observed in germination parameters while high significant (p≤0.01) difference in seedling growth parameters was observed. However, ANOVA results showed the difference in germination parameters between 5 mM and 10 mM of AlCl3 that were relatively small sensitivity in bothindica cultivarsPak Basmati andPokkali. Al3+ toxicity treatments at 15 mM and 20 mM produced significant (p≤0.01) effects on all germination and seedling growth parameters except in final germination percentage, germination velocity, and germination index (GI) as shown in Tables 1 and 2.Table 1
Analysis of variance of 5 mM and 10 mM of Al3+ toxicity at pH4 ±0.2 in germination parameters on parental line Pak Basmati and Pokkali.
Source of variations df Sum of Square FG % GVe GE SG GPV GI GC GV MGT RL SL TDB VI variety 1 0.00ns 0.00ns 208.33ns 17.45∗∗ 3.467∗∗ 0.00ns 15.64∗∗ 0.00ns 154.15∗∗ 0.03∗∗ 4.663∗∗ 23.46∗∗ 23.46∗∗  Stress 1 0.00ns 0.00ns 75.00ns 0.13ns 0.02ns 0.00ns 0.141 0.00ns 1.21ns 0.00∗∗ 24.027∗∗ 1.48∗∗ 1.48∗∗  variety × Stress 1 0.00ns 0.00ns 75.00ns 7.50ns 0.00ns 0.00ns 0.007 0.00ns 0.00ns 0.00∗∗ 2.94∗∗ 0.15∗∗ 0.15∗∗  Error 8 0.00ns 0.00 333.33 0.82 0.165 0.00 0.54 0.00 7.21 0.00 0.01 0.027 0.027  Total 12  variety 1 0.00ns 0.00ns 208.33ns 16.97∗∗ 3.35∗∗ 0.00ns 15.64∗∗ 0.00ns 149.11∗∗ 0.026∗∗ 23.21∗∗ 23.21∗∗ 457470.75∗∗  Stress 1 0.00ns 0.00ns 75.00ns 0.161ns 0.03ns 0.00ns 0.14ns 0.00ns 1.38ns 0.007∗∗ 1.76∗∗ 1.77∗∗ 414780.08∗∗  variety × Stress 1 0.00ns 0.00ns 75.00ns 0.00ns 0.00ns 0.00ns 0.00ns 0.00ns 0.05ns 0.001∗∗ 0.13∗∗ 0.134∗∗ 24570.75∗∗  Error 8 0.00 0.00 333.33 0.27ns 0.05ns 0.00 0.54 0.00 2.437 0.00 0.038 0.038 722.667  Total 12 S i g n i f i c a n t   ∗ ∗ at 0.01, ∗ significant at 0.05, ns= not significant, FG%= final germination percentage, GVe = germination velocity, GE= germination energy, SG=speed of germination, GPV= germination peak value, GI=germination index, GC= germination capacity, GV=germination value, MGT=mean germination time, RL=root length, SL = shoot length, TDB= total dry biomass, and GVI= germination vigour index.Table 2
Analysis of variance of 15 mM and 20 mM of Al3+ toxicity at pH4 ±0.2 in germination parameters on parental line Pak Basmati and Pokkali.
Source of variations df Sum of Square FG % GVe GE SG GPV GI GC GV MGT RL SL TDB VI variety 1 33.33ns 0.15ns 1200∗∗ 27.36∗∗ 6.44∗∗ 133.33∗ 71.74∗ 133.33∗ 371.85∗∗ 0.028∗∗ 3.842∗∗ 24.74∗∗ 514022.41∗∗  Stress 1 33.33ns 0.15ns 833.33∗∗ 2.90∗∗ 0.94∗∗ 133.33∗ 25.64ns 133.33∗ 77.72 0.01∗∗ 27.09∗∗ 2.314∗∗ 483847.68∗∗  variety × Stress 1 33.33ns 0.15ns 833.33∗∗ 1.07∗∗ 0.45∗∗ 133.33∗ 21.17ns 133.33∗ 46.65 0.001∗ 3.663∗∗ 0.27∗∗ 13493.81∗∗  Error 8 66.67 0.30 133.33 0.411 0.057 66.67 28.27 66.667 14.452 0 0.008 0.023 1615.74  Total 12  variety 1 75.00ns 0.34ns 833.33∗∗ 36.79∗∗ 7.29∗∗ 675.00∗∗ 152.44∗ 408.33 366.86∗∗ 0.03∗∗ 3.95∗∗ 13.29∗∗ 311793.04∗∗  Stress 1 675.00ns 3.03ns 7500∗∗ 98.09∗∗ 19.38∗∗ 3675.00∗∗ 308.74∗∗ 3008.33∗∗ 1409.418∗∗ 0.02∗∗ 32.28∗∗ 55.17∗∗ 1833399.19∗∗  variety × Stress 1 75.00ns 0.34ns 533.33∗∗ 3.49∗∗ 0.70∗∗ 675.00∗∗ 71.88ns 408.33ns 44.89∗∗ 0.00∗∗ 3.56∗∗ 0.65∗∗ 75477.74∗∗  Error 8 0.00 0.00 200.00 1.51 0.30 200.00 65.44 266.67 9.76 0.00 0.01 0.32 2299.46  Total 12 S i g n i f i c a n t   ∗ ∗ at 0.01, ∗ significant at 0.05, ns= not significant FG%= final germination percentage, GVe = germination velocity, GE= germination energy, SG=speed of germination, GPV= germination peak value, GI=germination index, GC= germination capacity, GV=germination value, MGT=mean germination time, RL=root length, SL = shoot length, TDB= total dry biomass, and GVI= germination vigour index.Comparison of mean showed that, with increasing levels in Al+3 toxicity, there was a reduction in germination and seedling growth parameters as presented in Table 3. A significant influence of Al3+ toxicity was observed in 15 mM and 20 mM, while the least effect was found out in 5 mM and 10 mM showing that these genotypes are Al3+ tolerant varieties.Table 3
Comparison of mean using DMRT for effect of Al3+ on germination and growth traits of rice genotypes.
Varieties Treatments FGP GVe GEn SG GPV GC GI MGT GV TDW RL SL GVI Pokkali control 100±0.0a 6.67±0.0a 100±0.0a 18.34±0.2a 8.15±0.16a 100±0.0a 200±0.0a 117.06±0.1a 54.36±0.8a 0.28±0.0a 4.43±0.0a 7.49±0.0a 1192.66±0.0a 5 mM 100±0.0a 6.67±0.0a 100±0.0a 18.07±0.1a 8.03±0.08a 100±0.0a 200±0.0a 116.90±0.1ab 53.54±0.5ab 0.21±0.0ab 0.36±0.0b 6.94±0.0ab 730.33±0.0b 10 mM 100±0.0a 6.67±0.3a 100±0.0a 17.96±0.1ab 7.98±0.08ab 100±0.0a 200±0.0a 116.80±0.1ab 53.21±0.5ab 0.21±0.0ab 0.32±0.0bc 6.91±0.0b 724.00±0.0bc 15 mM 93.33±0.5ab 6.62±0.3ab 66.66±0.5b 14.45±0.1b 6.42±0.07c 90.00±0.0ab 186.66±0.1ab 112.58±0.2b 40.00±0.9b 0.21±0.0ab 0.11±0.0c 5.79±0.0bc 550.56±0.3c 20 mM 86.66±0.5b 5.77±0.4b 53.33±0.5c 12.15±0.9c 5.40±0.39d 76.66±0.1b 173.33±0.7b 951.66±0.5c 31.24±0.6c 0.18±0.0b 0.06±0.0cd 2.74±0.0c 243.03±0.1cd  Pak Basmati Control 100±0.0a 6.67±0.0a 100±0.0a 15.92±0.1a 7.07±0.04a 100±0.0a 200±0.0a 114.83±0.3a 47.17±0.2a 0.17±0.0a 2.19±0.01a 4.92±0.1a 711.66±0.0a 5 mM 100±0.01a 6.67±0.0a 96.66±0.3ab 15.73±0.0a 6.99±0.04ab 100±0.0a 200±0.0a 114.56±0.3ab 46.63±0.2ab 0.14±0.0ab 0.35±0.0b 3.96±0.0ab 430.33±0.0b 10 mM 93.33±0.0ab 6.62±0.3ab 86.66±0.3b 14.34±0.2ab 6.44±0.05ab 90±0.5ab 186.66±0.5ab 112.90±0.3b 40.14±0.4bc 0.14±0.0ab 0.32±0.0bc 3.76±0.0b 377.13±0.0bc 15 mM 93.33±0.6ab 6.62±0.3ab 70.00±0.4bc 14.15±0.2ab 6.13±0.24bc 86.66±0.0b 186.66±0.5ab 109.52±0.2bc 38.14±0.6c 0.13±0.0b 0.08±0.0c 3.26±0.0bc 310.16±0.2c 20 mM 70.66±0.5c 5.70±0.1b 63.33±0.4c 13.76±0.1c 5.90±0.31c 70.00±0.0c 164.43±0.7b 346.86±1.0c 30.07±0.7cd 0.12±0.8bc 0.06±0.0cd 2.59±0.1c 64.04±0.4d ∗Same letters are not significantly different at probability (p<5%) error by Duncan's multiple test. Values are means ± SD=standard deviation FG%= final germination percentage, GVe = germination velocity, GE= germination energy, SG=speed of germination, GPV= germination peak value, GI=germination index, GC= germination capacity, GV=germination value, MGT=mean germination time, RL=root length, SL = shoot length, TDB= total dry biomass, and GVI= germination vigour index.The germination parameters and seedling growth parameters in 10 mM of AlCl3 were more affected relative to 5 mM; however, at 10 mM concentration of Al3+ produced less number of significant effects (p<0.01) on germination traits in all source of variables (Tables 1 and 2) which reflects that rice genotypes were responding the same in 10 mM of Al3+. The difference in the results of all germination and growth parameters of both varieties between 15 mM and 20 mM was germination index (GI) producing strong significant (p<0.01) variation in 20 mM while in 15 mM it was significant at 0.05%; similarly mean time of germination (MGT) was significant (p<0.05) for factor variety and highly significant (p<0.01) for stress at 20 mM of Al3+ toxicity but it was significant (p<0.05) for factor variety only at 15 mM of Al3+ toxicity. Similarly, germination capacity was significant (p<0.05) for all factors in 15 mM while it was highly significant (p<0.01) for stress under 20 mM Al3+ toxicity. Similar kind of response has been reported by Nasr [17] while investigating the germination and seedling growth of maize (Zea mays L.) seeds in toxicity of aluminum and nickel that Al3+ treatments significantly (p<0.05) decreased seed germination as compared to control and 2000 mg/L (20 mM) showed the lowest percentage of tolerance in maize seedlings as compared to control. The reduction in seed germination of maize(Zea mays L.) can be due to the accelerated breakdown of stored food material in seed by the application of Al3+ [18]. Consequently, the concentration 20 mM of Al3+ toxicity was selected as a threshold for phenotyping in QTL analysis [5], since its results showed the maximum significance (p<0.01) in germination and seedling growth parameters.


## 4. Conclusion

The genotypesPokkali andPak Basmati showed significance difference (p<0.01) when exposed to optimized concentration, i.e., 20 mM (2000mg/L). The genotypePokkali showed stronger tolerance than thePak Basmati in all parameters, especially in root length. Al3+ concentration is considered as optimized where most of germination and growth parameters exhibited high significant differences. In addition, promising statistical approaches for optimization of toxicity limits are being developed for phenotyping of population and identifying QTLs that could be used in crop improvement.



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*Source: 8180174-2018-09-26.xml*