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Bioinformatics and Plant Stress Management

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Essentials of Bioinformatics, Volume III

Abstract

In recent years, omics technologies have generated a vast amount of biological data, whose interpretation and management needs a sophisticated computational analysis. Bioinformatics has come to rescue, which is an interdisciplinary branch of science aimed at interpreting biological data using information technology and computer science. Integration of bioinformatics with plant science research has generated many applications like single-gene analysis, biochemical pathways, molecular techniques, sequence similarity, modelling of protein, crop improvement, crop breeding, improved nutritional quality, development of drought-resistant varieties and plant biotic/abiotic stress management. Since the data is huge, plant biologists and researchers are facing problems in the interpretation of data as they are unable to exploit available bioinformatics tools, plant-based databases and their applications. Bioinformatics has played an essential role in plant stress management with regard to the understanding of various stress signalling pathways, crosstalk between different pathways and mechanisms. It has many practical applications in current plant stress management such as understanding changes in the metabolomics and proteomics during stress conditions which ultimately helps in designing the best stress management approaches and databases. Keeping that in observation, the present chapter describes some of the key concepts and databases used in bioinformatics, with an emphasis on those relevant to plant stress management. This chapter will also cover some of the latest technologies and bioinformatics applications in today’s plant stress management strategies. Finally, we explore a few emerging research topics in this cutting-edge field of research.

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Authors and Affiliations

  1. Department of Biotechnology, School of Biological Sciences, University of Kashmir, Srinagar, Jammu and Kashmir, India

    Amrina Shafi

  2. Bioinformatics Centre, University of Kashmir, Srinagar, Jammu and Kashmir, India

    Insha Zahoor

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  1. Amrina Shafi
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  2. Insha Zahoor
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Editors and Affiliations

  1. Princess Dr. Najla Bint Saud Al-Saud Center for Excellence Research in Biotechnology, Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia

    Khalid Rehman Hakeem

  2. Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

    Noor Ahmad Shaik

  3. Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

    Babajan Banaganapalli

  4. Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

    Ramu Elango

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Shafi, A., Zahoor, I. (2019). Bioinformatics and Plant Stress Management. In: Hakeem, K., Shaik, N., Banaganapalli, B., Elango, R. (eds) Essentials of Bioinformatics, Volume III. Springer, Cham. https://doi.org/10.1007/978-3-030-19318-8_3

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