title: In silico analysis, annotation and characterisation of putative ESTs from Sorghum bicolor associated with heat stress.
abstract: Owing to their sessile nature, plants experience a variety of environmental stresses, but tolerance to these adverse conditions is a very complex phenomenon. Among all stresses, heat stress is the most important constraint that affects plant yield in rain-fed areas. To shed some light on candidate genes involved in heat stress, sequences potentially associated with heat shock resistance were retrieved and identified by in silico analysis using the public sequence database of various plants. A total of 30,000 EST sequences were mined and 24 putative ESTs associated with heat stress were picked up for further studies. In silico analysis revealed that all ESTs were linked with the HSP family. Gene Ontology (GO) analysis revealed that the deduced protein sequences of the heat-linked 24 ESTs were involved in various biological pathways regulating heat stress response. Hydropathy analysis revealed that all protein sequences were hydrophilic in nature. Based on the phylogenetic analysis, all HSP-related protein sequences were divided into seven groups. Analysis of cis-elements provides molecular evidence for the possible involvement of hydrophilic ESTs in the process of abiotic stress tolerance in sorghum. Based on these results, it was suggested that putative ESTs may play an important role in heat stress tolerance.
authors.affiliation: 1 Department of Biotechnology, Lyallpur Khalsa College, G.T. Road, Jalandhar 144001, Punjab, India.
authors.forename: Gobind
authors.initials: G
authors.lastname: Ram
authors.affiliation: 2 Department of Biotechnology, Lyallpur Khalsa College, G.T. Road, Jalandhar 144001, Punjab, India.
authors.forename: Arun Dev
authors.initials: AD
authors.lastname: Sharma
keywords: EST sequences; ESTs; abiotic stress tolerance; bioinformatics; biological pathways; expressed sequence tags; gene ontology; heat shock; heat stress; hydropathy analysis; hydrophilic; in silico analysis; phylogenetic analysis; plant yield; protein sequences; sorghum