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International Journal of Plant Genomics
Volume 2009 (2009), Article ID 583429, 8 pages
http://dx.doi.org/10.1155/2009/583429
Research Article

STIFDB—Arabidopsis Stress Responsive Transcription Factor DataBase

1National Centre for Biological Sciences, Tata Institute of Fundamental Research, UAS, GKVK Campus, Bellary Road, Bangalore 560 065, India
2Department of Crop Physiology, UAS, GKVK Campus, Bellary Road, Bangalore 560 065, India

Received 28 February 2009; Accepted 29 June 2009

Academic Editor: Chunguang Du

Copyright © 2009 K. Shameer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Elucidating the key players of molecular mechanism that mediate the complex stress-responses in plants system is an important step to develop improved variety of stress tolerant crops. Understanding the effects of different types of biotic and abiotic stress is a rapidly emerging domain in the area of plant research to develop better, stress tolerant plants. Information about the transcription factors, transcription factor binding sites, function annotation of proteins coded by genes expressed during abiotic stress (for example: drought, cold, salinity, excess light, abscisic acid, and oxidative stress) response will provide better understanding of this phenomenon. STIFDB is a database of abiotic stress responsive genes and their predicted abiotic transcription factor binding sites in Arabidopsis thaliana. We integrated 2269 genes upregulated in different stress related microarray experiments and surveyed their 1000 bp and 100 bp upstream regions and 5 UTR regions using the STIF algorithm and identified putative abiotic stress responsive transcription factor binding sites, which are compiled in the STIFDB database. STIFDB provides extensive information about various stress responsive genes and stress inducible transcription factors of Arabidopsis thaliana. STIFDB will be a useful resource for researchers to understand the abiotic stress regulome and transcriptome of this important model plant system.