A legume genomics resource: The Chickpea Root Expressed Sequence Tag Database

Jayashree, B and Buhariwalla, H K and Shinde, S and Crouch, J H (2005) A legume genomics resource: The Chickpea Root Expressed Sequence Tag Database. Electronic Journal of Biotechnology, 8 (2). pp. 128-133. ISSN 0717-3458

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Chickpea, a lesser-studied grain legume, is being investigated due to its taxonomic proximity with the model legume genome Medicago truncatula and its ability to endure and grow in relatively low soil water contents making it a model legume crop for the study of agronomic response to drought stress. Public databases currently contain very few sequences from chickpea associated with expression in root tissues. However, root traits are likely to be one of the most important components of drought tolerance in chickpea. Thus, we have generated a set of over 2800 chickpea expressed sequence tags (ESTs) from a library constructed after subtractive suppressive hybridization (SSH) of root tissue from two closely related chickpea genotypes possessing different sources of drought avoidance and tolerance (ICC4958 and Annigeri respectively). This database provides researchers in legume genomics with a major new resource for data mining associated with root traits and drought tolerance. This report describes the development and utilization of the database and provides the tools we have developed to facilitate the bioinformatics pipeline used for analysis of the ESTs in this database. We also discuss applications that have already been achieved using this resource

Item Type: Article
Uncontrolled Keywords: cloning, data mining, drought avoidance, drought tolerance, EST database, root traits, stress
Subjects: Mandate crops > Chickpea
Depositing User: Ms K Syamalamba
Date Deposited: 25 Oct 2011 11:02
Last Modified: 06 Dec 2011 10:57
URI: http://oar.icrisat.org/id/eprint/3187
Official URL: http://dx.doi.org/10.2225/vol8-issue2-fulltext-8
Funders: Governments of UK, Japan, European Union and the Generation Challenge Program
Acknowledgement: The authors gratefully acknowledge the programming support extended by Mr. P. Vinod Kumar and Ms. R. Rajalakshmi
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