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Title

Identification and annotation of abiotic stress responsive candidate genes in peanut ESTs

 

Authors

Archana Kumari, Ashutosh Kumar, Aakanksha Wany, Gopal Kumar Prajapati & Dev Mani Pandey*

 

Affiliation

Department of Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand-835215, India.

 

Email

dmpandey@bitmesra.ac.in; *Corresponding author

 

Article Type

Hypothesis

 

Date

Received October 30, 2012; Accepted November 11, 2012; Published December 08, 2012

 

Abstract

Peanut (Arachis hypogaea L.) ranks fifth among the world oil crops and is widely grown in India and neighbouring countries. Due to its large and unknown genome size, studies on genomics and genetic modification of peanut are still scanty as compared to other model crops like Arabidopsis, rice, cotton and soybean. Because of its favourable cultivation in semi-arid regions, study on abiotic stress responsive genes and its regulation in peanut is very much important. Therefore, we aim to identify and annotate the abiotic stress responsive candidate genes in peanut ESTs. Expression data of drought stress responsive corresponding genes and EST sequences were screened from dot blot experiments shown as heat maps and supplementary tables, respectively as reported by Govind et al. (2009). Some of the screened genes having no information about their ESTs in above mentioned supplementary tables were retrieved from NCBI. A phylogenetic analysis was performed to find a group of utmost similar ESTs for each selected gene. Individual EST of the said group were further searched in peanut ESTs (1,78,490 whole EST sequences) using stand alone BLAST. For the prediction as well as annotation of abiotic stress responsive selected genes, various tools (like Vec-Screen, Repeat Masker, EST-Trimmer, DNA Baser, WISE2 and I-TASSER) were used. Here we report the predicted result of Contigs, domain as well as 3D structure for HSP 17.3KDa protein, DnaJ protein and Type 2 Metallothionein protein.

 

Keywords

Arachis hypogaea, EST, Gene annotation, Stress, Contigs.

 

Citation

Kumari et al. Bioinformation 8(24): 1211-1219 (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.