Unlocking the gene networks for tolerance to drought stress through phenotypic variability, genetic diversity and bioinformatics in Iranian Aegilops tauschii
摘要
In order to evaluate the phenotypic and genotypic variability of Iranian Aegilops taushii ecotypes and identification of genes responsible for drought tolerance, an experiment was carried out during the seedling and reproductive stages. The ANOVA showed that ecotypes had significant difference (P < 0.01) in terms of morphological and agronomical traits. The t-test indicated that the control and drought environments had significant differences (P < 0.01) in terms of all traits. The AMMI method displayed that ecotypes 42 and 59 were the ideal genotypes in control and drought conditions, respectively. A total of 1149 alleles (647 polymorphic) were observed via random and semi-random markers. ISJ9 had the highest values for the PIC, Ne, H and I indices. Nevertheless, OPA12‒Xgwm10‒2AF and OPC11‒Xgwm44‒7DF presented the highest values for the Ne, H and I indices. Consequently, the recent markers were presented the highest discrimination power. In total, 281 and 251 MTAs were identified via stepwise regression under control and drought conditions, respectively. Furthermore, 165 unique candidate genes associated with MTAs were subsequently traced via bioinformatics analysis. In silico expression analysis was confirmed seven genes including TraesCS2A02G064900, TraesCS2A02G066500, TraesCS3D02G025300, TraesCS3D02G027300, TraesCS4D02G030800, TraesCS4D02G030900 and TraesCS4D02G031900. Gene ontology analysis revealed that the most important molecular function was related to manganese ion binding. Moreover, 93 regulatory miRNAs related to candidate genes were detected. Finally, 10 hub genes including TraesCS5A02G014500, TraesCS5A02G014400, TraesCS5A02G014300, TraesCS3A02G001800, TraesCS3D02G026400, TraesCS7D02G045900, TraesCS4D02G032900, TraesCS2A02G027600, TraesCS2A02G028100 and TraesCS4D02G033000 were discovered. Overall, the hub genes and microRNAs can be considered as important biomarkers for further studies of drought-responsive pathways.