14. Functional Genomics and Computational Biology Tools for Gene Discovery for Abiotic Stress Tolerance

  1. Dr. Narendra Tuteja2,3,
  2. Dr. Sarvajeet Singh Gill2,4,
  3. Prof. Antonio F. Tiburcio5 and
  4. Dr. Renu Tuteja2
  1. Kailash C. Bansal,
  2. Amit Katiyar,
  3. Shuchi Smita and
  4. Viswanathan Chinnusamy

Published Online: 30 MAR 2012

DOI: 10.1002/9783527632930.ch14

Improving Crop Resistance to Abiotic Stress, Volume 1 & Volume 2

Improving Crop Resistance to Abiotic Stress, Volume 1 & Volume 2

How to Cite

Bansal, K. C., Katiyar, A., Smita, S. and Chinnusamy, V. (2012) Functional Genomics and Computational Biology Tools for Gene Discovery for Abiotic Stress Tolerance, in Improving Crop Resistance to Abiotic Stress, Volume 1 & Volume 2 (eds N. Tuteja, S. S. Gill, A. F. Tiburcio and R. Tuteja), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527632930.ch14

Editor Information

  1. 2

    International Centre for Genetic Engineering and Biotechnology Plant Molecular Biology Group, Aruna Asaf Ali Marg, New Delhi 110 067, India

  2. 3

    MD University, Centre for Biotechnology, Rohtak 124 001, Haryana, India

  3. 4

    Aligarh Muslim University, Department of Botany, Aligarh 202 002, Uttar Pradesh, India

  4. 5

    Universitat de Barcelona, Unitat de Fisiologia Vegetal, Facultat de Farmàcia, Av. Joan XXIII, S/N, 08028 Barcelona, Spain

Author Information

  1. Indian Agricultural Research Institute, National Research Centre on Plant, Biotechnology, New Delhi 110 012, India

Publication History

  1. Published Online: 30 MAR 2012
  2. Published Print: 14 MAR 2012

ISBN Information

Print ISBN: 9783527328406

Online ISBN: 9783527632930

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Keywords:

  • abiotic stress tolerance;
  • computational biology;
  • functional genomics;
  • gene discovery;
  • marker-assisted selection;
  • QTL

Summary

Unraveling the molecular details of plant response and defense against abiotic stress factors such as drought, salt, and temperature extremes is a crucial and challenging issue in plant research. Functional genomics and computational biology have enhanced the pace of molecular dissection of abiotic stress response mechanisms. In the past two decades, significant progress has been made in identification of genes involved in abiotic stress responses in model plants Arabidopsis and rice through forward and reverse genetic analyses. Besides, QTL analysis is a powerful complementary technology with functional genomics to discover and isolate the genes of agronomic importance. Several QTL associated with abiotic stress responses of plants have been mapped. The availability of complete genome sequence of important model plants, namely, Arabidopsis and rice, QTL databases, and mapping tools facilitates genomics-based strategies for gene discovery, coupled with high-throughput techniques, for abiotic stress tolerance. Fine mapping of these QTL will help the identification of major genes and development of tightly linked molecular markers that can be employed to genetically improve crops through genetic engineering and marker-assisted selection (MAS) breeding.