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Application of Bioinformatics in Understanding of Plant Stress Tolerance

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Plant Bioinformatics

Abstract

Understanding the complex regulatory pathways of abiotic stress tolerance warrants in-depth study of a biological system. Recent emergence of the novel “-omics” technologies, such as genomics, proteomics, and metabolomics, enables us to study and identify the genetic elements behind systems complexity. The major challenge in this genomics era is to store and handle staggering volume of information contained within the genome scaffolds or even within the transcriptomics data available for more plant species; it would not be an exaggeration to state that the bioinformatics has been efficiently integrated in the modern -omics research. Various bioinformatics softwares and tools like sequence analysis and similarity searching tools; genome sequencing tools; genome annotation tools; de novo genome assembly tools; transcriptome, proteome, and metabolome analysis; and visualization tools help us to analyze biological information providing novel insights into the organization of biological systems. This specific -omics knowledge could subsequently be harnessed to develop improved crop plants in terms of quality and productivity, showing enhanced level of abiotic stress tolerance and disease resistance. The bioinformatics in post-genomics era is revolutionizing the way experiments are designed in molecular biology, thus making substantial contributions in increasing scientific knowledge while adding new functionalities and perspectives to genetic engineering programs for enhancing stress tolerance.

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Acknowledgment

RJ acknowledges Dr. D S Kothari Postdoctoral Fellowship from University Grant Commission, Government of India. SHW acknowledges Raman Post Doctoral Fellowship from University Grant Commission, Government of India.

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Authors and Affiliations

  1. Department of Pharmacy, Bhimtal campus, Kumaon University, Nainital, Uttarakhand, India

    Jyoti Upadhyay

  2. Stress Physiology and Molecular Biology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi, India

    Rohit Joshi

  3. National Research Centre on Plant Biotechnology, New Delhi, India

    Balwant Singh

  4. Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, India

    Abhishek Bohra

  5. Food Corporation of India, Regional Office, Bangalore, India

    Roshni Vijayan

  6. Guru Gobind Singh Indraprastha University, New Delhi, India

    Manoj Bhatt

  7. Department of Zoology, Kumaun University, Nainital, Uttarakhand, India

    Sat Pal Singh Bisht

  8. Division of Genetics and Plant Breeding, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India

    Shabir H. Wani

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  1. Jyoti Upadhyay
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  7. Sat Pal Singh Bisht
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  8. Shabir H. Wani
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Correspondence to Shabir H. Wani .

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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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Upadhyay, J. et al. (2017). Application of Bioinformatics in Understanding of Plant Stress Tolerance. 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_14

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