Chaduvula, P.K. and Bhati, J. and Rai, A. and Gaikwad, K. and etl, . (2015) In-silico expressed sequence tag analysis in identification and characterization of salinity stress responsible genes in Sorghum bicolor. Australian Journal of Crop Science, 9 (9). pp. 799-806.
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Abstract
Sorghum(Sorghum bicolor L. Moench) is the fifth major cereal crop in the world. Sorghum is moderately salt-tolerant crop and different genotypes shows different levels of tolerance. Therefore, the present work emphasizes on reconstruction, validation and annotation of salt stress genes of Sorghum. In order to identify genes responsible for salt stress in Sorghum, 6749 expressed sequence tags (ESTs) were mined from the web recourses. The downloaded ESTs were clustered and assembled into 823 contigs and biological functions were acquired to the most of the contigs through Gene Ontology (GO). 617 contigs were showed homology to Rice, Maize and Barley protein sequences. The remaining contigs were mapped on Sorghum genome and full length gene sequences were obtained by in-silico approach. Total 12 candidate genes were identified as salinity stress responsive genes and amplified in nine indigenous Sorghum genotypes. These candidate genes were further validated by means of molecular techniques in nine Sorghum cultivars. The study claims the possible involvement of the predicted genes in salt stress mechanism and may be useful in molecular breeding programme in Sorghum salinity research
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Sorghum, Salt stress,Functional annotation,Gene prediction |
| Author Affiliation: | Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, Pusa, New Delhi 110 012, India |
| Subjects: | Crop Improvement |
| Divisions: | Sorghum |
| Depositing User: | Mr T L Gautham |
| Date Deposited: | 15 Feb 2016 05:37 |
| Last Modified: | 15 Feb 2016 05:37 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/14170 |
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