عنوان مقاله [English]
Rice is one of the most valuable crops, and water deficiency is the most important constraint to rice production. Due to the complexity and multigenic characteristics of the drought tolerance trait, the objective of the current research were reconstruction of the involved gene networks and identification of the key genes in rice plants using microarray data analysis. To achieve the goal, all the differentially expressed genes (DEGs) with fold changes ≥+2.5 and ≤-2.5 at drought stress compared to normal conditions were identified among all the microarray data-series in rice using Genevestigator online tools. Totally, 101 DEGs were identified and their gene regulatory as well as protein-protein interactions (PPIs) networks was reconstructed. The hub genes (genes with the most interactions) were distinguished using nine Cyto-hubba computational algorithms on Cytoscape software. Based on the hub analysis results, 14 unique (non-redundant) genes were identified as the most effective genes in response to drought stress and their co-expression networks were constructed. According to the gene ontology analysis of the DEGs, their co-expressed genes and the hub genes, regulation of transcription were among the major groups indicating the importance of transcription factors (TFs) roles in drought tolerance mechanism. Amongst the TFs, ABA-responsive binding factors (AREBs), AP2, bZIP, WRKY and MYB gene families were observed. We hope that the obtained results would be beneficial toward finding the smart strategies for drought tolerance improvement.
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