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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:5, May, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(5): 1098-1117
DOI: https://doi.org/10.20546/ijcmas.2020.905.121


Potential of Allele Mining for Improving Drought Tolerance in Crops
Akash Sinha, Ankita Chauhan and Pushpa Lohani*
Department of Molecular Biology and Genetic Engineering, College of Basic Science and Humanities, GB Pant University of Agriculture & Technology, Pantnagar- India
*Corresponding author
Abstract:

Drought is the major abiotic stress that results in severe loss of yield to crops. It is estimated that there will be a steep rise in global water consumption in the coming years. On the other hand, it is also estimated that the sources of water will deplete due to rise in temperature and climate change. It is, therefore, critical to find out such genotypes of crops that have the ability to tolerate drought without much loss of yield. The genetic and molecular basis of drought tolerance has been investigated extensively and genes encoding drought-related transcription factors and functional proteins have been identified by allele mining. Allele mining is a promising way to isolate naturally occurring variation in alleles of individual genes with useful agronomic qualities. The superior alleles of such genes need to be fished out. Germplasm collections worldwide have immense unexploited allelic variations in genes. Deciphering untapped useful nucleotide diversity patterns for drought-related genes can be performed by allele mining.  The recent advancements made in the field of next generation sequencing have made the approach of allele mining less cumbersome, practicable and cheaper. This review explores the concept, potential and applications of allele mining for drought tolerant genes and its importance in strengthening the goal of achieving climate resilient agriculture.


Keywords: Allele mining, Crop improvement, Abiotic stress, Drought tolerance, Germplasm collection

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How to cite this article:

Akash Sinha, Ankita Chauhan and Pushpa Lohani. 2020. Potential of Allele Mining for Improving Drought Tolerance in Crops.Int.J.Curr.Microbiol.App.Sci. 9(5): 1098-1117. doi: https://doi.org/10.20546/ijcmas.2020.905.121
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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