About this Biochemistry, Genetics and Molecular Biology article
Identification of major candidate genes for multiple abiotic stress tolerance at seedling stage by network analysis and their validation by expression profiling in rice (Oryza sativa L.) by M. K. Ramkumar; Ekta Mulani; Vasudha Jadon; V. Sureshkumar; S. Gopala Krishnan; S. Senthil Kumar; M. Raveendran; A. K. Singh; Amolkumar U. Solanke; N. K. Singh; Amitha Mithra Sevanthi is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
A wealth of microarray and RNA-seq data for studying abiotic stress tolerance in rice exists but only limited studies have been carried out on multiple stress-tolerance responses and mechanisms. In this study, we identified 6657 abiotic stress-responsive genes pertaining to drought, salinity and heat stresses from the seedling stage microarray data of 83 samples and used them to perform unweighted network analysis and to identify key hub genes or master regulators for multiple abiotic stress tolerance. Of the total 55 modules identified from the analysis, the top 10 modules with 8-61 nodes comprised 239 genes. From these 10 modules, 10 genes common to all the three stresses were selected. Further, based on the centrality properties and highly dense interactions, we identified 7 intra-modular hub genes leading to a total of 17 potential candidate genes. Out of these 17 genes, 15 were validated by expression analysis using a panel of 4 test genotypes and a pair of standard check genotypes for each abiotic stress response. Interestingly, all the 15 genes showed upregulation under all stresses and in all the genotypes, suggesting that they could be representing some of the core abiotic
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- Author
- M. K. Ramkumar; Ekta Mulani; Vasudha Jadon; V. Sureshkumar; S. Gopala Krishnan; S. Senthil Kumar; M. Raveendran; A. K. Singh; Amolkumar U. Solanke; N. K. Singh; Amitha Mithra Sevanthi
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)