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Application of Bioinformatics in Understanding of Plant Stress Tolerance

Upadhyay, J., Joshi, R., Singh, B., Bohra, A., Vijayan, R., Bhatt, M., Bisht, S.P.S. and Wani, S.H. (2017) Application of Bioinformatics in Understanding of Plant Stress Tolerance. In: Hakeem, K.R., Malik, A., Vardar-Sukan, F. and Ozturk, M., (eds.) Plant Bioinformatics. Springer Cham, pp. 347-374.

Link to Published Version: https://doi.org/10.1007/978-3-319-67156-7_14
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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.

Item Type: Book Chapter
Publisher: Springer Cham
Copyright: © 2017 Springer International Publishing AG
URI: http://researchrepository.murdoch.edu.au/id/eprint/66353
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