alexa Abstract | In-Silico Prediction and Functional Analysis of Salt Stress Responsive Genes in Rice (Oryza sativa)
ISSN: 2375-4338

Rice Research: Open Access
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

The area for cultivation of rice on salt affected soil is increasing at very fast rate due to insensitivity towards following proper package and practices of crops production in order to increasing productivity of rice due to high population pressure in Asian countries. Therefore, it is important to identify genes and their regulatory elements for development of salt stress tolerance variety of rice. In order to identify genes responsible for salt stress in rice 7746 expressed sequence tags (ESTs), expressed in salinity stress condition, were mined from the different web recourses. The downloaded ESTs were clustered and assembled into 672 contigs. Biological functions were obtained only for 424 out of 672 contigs through Gene Ontology (GO). The remaining contigs were used for reconstruction, validation and annotation of salt stress genes. These contigs were mapped on to rice genome and full length gene sequences were designed. These designed candidate genes were further validated by means of a) Integrating with known salt stress related quantitative trait loci (QTL) on rice genome and b) Promoter analysis. In this study novel candidate genes were identified which may have a possible involvement in regulation of salt stress mechanism and may be useful in molecular breeding programme in rice for development of salt tolerance varieties through Molecular Assisted Breeding.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Jyotika Bhati, Pavan Chaduvula K, Anil Rai1, Kishore Gaikwad, Soma Marla S and Sanjeev Kumar

Keywords

Rice, Salt stress, Functional annotation, Gene prediction, QTL, Promoter analysis, Stress Resistant Rice, Rice Genome, Rice Husk

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords