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Bioinformatics in Agriculture: Translating Alphabets for Transformation in the Field

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Plant Bioinformatics

Abstract

Essentiality of bioinformatics was perceived from a long time for the advancement of science and innovation. Bioinformatics finds direct application in the crop improvement programs. It helps out researchers in connecting genetic makeup with commercial traits. Availability of complete genomes of numerous economically important crops and advancement in facilities and experimentation for high-throughput studies open new avenues for crop improvement. Different approaches like plant genome comparisons, genetic mapping strategies, evolutionary analyses, etc. involved in crop development programs are nowadays possible through bioinformatics data analysis. For a few of the scientists, the new genes, novel proteins, and their functions, unique metabolites, quantitative profile, metabolic pathways, etc. seemed to have yielded fewer than what have been earlier expected in terms of new targets or strategies for development of crop plants in agricultural science. Though, recent work on this subject has helped us further realistically and still optimistically deal with such issues in a socially responsible academic exercise. Thus, while some “microarray” or “bioinformatics” scientists may have been criticized as doing “cataloging research,” mass of researchers consider that they are genuinely exploring novel scientific and technological systems and techniques to help human health, human food and animal feed production, overall agricultural productivity, and environmental protection. Indeed, the complexity, extent, and measure of cross talks in biological systems are huge, but simultaneously we need to become more knowledgeable and able to start addressing honestly and skillfully the significant issues regarding global agriculture and the environment.

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Acknowledgments

Financial support from the Indian Council of Agricultural Research, India, in the form of Centre for Agricultural Bioinformatics (CABin) is gratefully acknowledged. Ratna Prabha is thankful for the financial support in the form of SERB-National Post Doctoral Fellowship (File no.PDF/2016/000714).

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Authors and Affiliations

  1. ICAR-National Bureau of Agriculturally Important Microorganisms, Indian Council of Agricultural Research, Kushmaur, Maunath Bhanjan, 275101, UP, India

    Ratna Prabha & D. P. Singh

  2. Chhattisgarh Swami Vivekananda Technical University, Bhilai, Chhattisgarh, India

    Ratna Prabha & M. K. Verma

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  1. Ratna Prabha
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  2. M. K. Verma
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  3. D. P. Singh
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Correspondence to D. P. Singh .

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Editors and Affiliations

  1. Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia

    Khalid Rehman Hakeem

  2. Department of Microbiology and Molecular Biology, Chungnam National University, Daejeon, Korea (Republic of)

    Adeel Malik

  3. Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, İzmir, Turkey

    Fazilet Vardar-Sukan

  4. Centre for Environmental Studies & Botany Department, Ege University, Bornova, İzmir, Turkey

    Munir Ozturk

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Prabha, R., Verma, M.K., Singh, D.P. (2017). Bioinformatics in Agriculture: Translating Alphabets for Transformation in the Field. In: Hakeem, K., Malik, A., Vardar-Sukan, F., Ozturk, M. (eds) Plant Bioinformatics. Springer, Cham. https://doi.org/10.1007/978-3-319-67156-7_7

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