Title

Authors

Affiliation

¹Department of Bioscience & Biotechnology, Banasthali University, P.O. Banasthali Vidyapith 304022, Rajasthan, India; ²Department of Botany and Biotechnology, University of Rajasthan, JLN Marg, Jaipur 302055, Rajasthan, India.

Email

vinaysharma30@yahoo.co.uk; *Corresponding author

Article Type

Hypothesis

Date

Received June 19, 2012; Accepted June 26, 2012; Published July 06, 2012

The availability of the complete genome sequences has facilitated access to essential information to identify proteins. The determination of Arabidopsis genome sequence has had a great impact to annotate data. The genome sequencing of Sorghum bicolor has been only recently completed and hither to the global response to abiotic stresses in this important crop remains largely unexplored. We used 2-D gel electrophoresis based proteomic approach refined with MALDI-TOF to analyze drought-stress response proteins in sorghum. Major changes in protein complement of sorghum were observed in hydroponic cultures at 96 hours under drought stress. Six most highly expressed proteins were excised for functional identification. Here, we developed a method to obtain functional distances between GO terms and analyzed distance values to allocate shortest path (SP) in GO hierarchy. The shortest paths for expressed proteins were noted for most informative common ancestor (MICA) terms, viz. binding, catalytic activity and primary metabolic process. We observed the expressed proteins belonged to the functional group of signal transduction mechanisms, carbohydrate transport and metabolism. These identified functions of proteins suggest a different mechanism of drought-stress tolerant in sorghum. The novel approach applied in this study may have great importance in further identifying proteins involved in abiotic and biotic stress conditions in crops.

Keywords

Proteomic analysis, 2D Gel electrophoresis, Gene Ontology, Drought-stress, Sorghum bicolor

Citation

Sharma et al. Bioinformation 8(13): 595-599 (2012)
 

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.