Global integrated omics expression analyses of abiotic stress signaling HSF transcription factor genes in Oryza sativa L.: An in silico approach

• Published in: Genomics (San Diego, Calif.) Calif.), 2020-01, Vol.112 (1), p.908-918
• Main Authors: Muthuramalingam, Pandiyan, Jeyasri, Rajendran, Bharathi, Ravichandran Kavitha Anbu Snega, Suba, Vellaichami, Pandian, Shunmugiah Thevar Karutha, Ramesh, Manikandan
• Format: Article
• Language: English
• Subjects: Abiotic stress; Comparative mapping; Omics; Oryza sativa; OsHSF; Transcription factor
• ISSN: 0888-7543; 1089-8646
• DOI: 10.1016/j.ygeno.2019.06.006

Among the significant transcription factors (TFs), HSF proteins play pivotal roles in the regulation of hormonal signal transduction and different abiotic stress (AbS) responses. Hence considering its importance, global omics expression analysis of HSF candidates was performed in rice (OsHSF). The current study identified 25 HSF family members and physically plotted them against the rice genome. These proteins were systematically analyzed for their physicochemical features, organization and expression signatures. Further, heatmap of both spatio-temporal and global plant hormones revealed the developmental tissues and hormone specific expression profiling of these genes respectively. Comparative genome mapping between OsHSF players in interrelated C4 grass species revealed the chromosome level synteny. Signalome analysis revealed the protein – protein interactions of OsHSF. Expression profiling of key players in response to stresses exhibited the new involvement in combined AbS (CAbS) responses. Our results are significantly valuable to decipher their functional analysis of CAbS tolerant in rice. •Understanding the molecular mechanisms of rice HSF associated protein coding genes in response to abiotic stress through GWAS•Comparative mapping (genomics) analysis that yields molecular insights into conserved and orthologous aspects of function.•Spatio-temporal and phytohormonal expression analysis of these genes showed differential expression patterns under stress.•Signalome analysis of OsHSF genes revealed that AbS responsible genes are quantitative and multigenic in nature.•Molecular marker analysis (SSRs, ISMs, ILPs) unravel the marker associated agronomic traits.