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Bioinformatic Tools in Crop Improvement

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Crop Improvement

Abstract

Bioinformatic resources and web databases are essential for the most effective use of genetic, proteomic, metabolomic and phenome information important in increasing agricultural crop productivity. Innovations in web based platforms for omics based research, and application of such information has provided the necessary platform to promote molecular based research in model plants, as well as important crop plants. Combinations of multiple omics web based sites and integration of outcomes is now an important strategy to identify molecular systems promoting comparative genomics, the biological properties in many species, and to accelerate gene discovery and functional analyses. The review details recent advances in plant omics data acquisition sites, together with relevant databases and advance molecular technology under clear biological categories. The information is set out under the molecular biology divisions of; DNA based resources and sequencing, RNA and variation analysis, proteomics, structural proteins, and post-translation modifications, metabolomics, phenome and plant comparative analyses. Tables of relevant web sites are presented under similar headings for convenience, and the application of bioinformation data is reviewed in light of the possible use of these resources for crop improvement. Finally, a long list of future perspectives and research still to be attempted is detailed, which in the fullness of time should enable the full potential of bioinformatics and use in crop improvement programs to be achieved.

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  1. Centre for Environmental Sustainability (CENS), Department of Environmental Sciences, University of Technology, Broadway/Sydney NSW 2007, P O Box 123, Sydney, Australia

    L. F. De Filippis

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  1. , Faculty of Forestry, University Putra Malaysia, Darul Ehsan, Selangor, 43400, Malaysia

    Khalid Rehman Hakeem

  2. A.S. College, Department of Botany, University of Kashmir, Srinagar, 190008, India

    Parvaiz Ahmad

  3. , Faculty of Forestry, Universiti Putra Malaysia, n/a, Selangor, 35100, Malaysia

    Munir Ozturk

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De Filippis, L. (2013). Bioinformatic Tools in Crop Improvement. In: Hakeem, K., Ahmad, P., Ozturk, M. (eds) Crop Improvement. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-7028-1_2

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