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Breeding, genetics, and genomics approaches for improving Fusarium Wilt resistance in major grain legumes
Journal article   Open access   Peer reviewed

Breeding, genetics, and genomics approaches for improving Fusarium Wilt resistance in major grain legumes

U.C. Jha, A. Bohra, S. Pandey and S.K. Parida
Frontiers in Genetics, Vol.11, Art. 01001
2020
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Abstract

Fusarium wilt (FW) disease is the key constraint to grain legume production worldwide. The projected climate change is likely to exacerbate the current scenario. Of the various plant protection measures, genetic improvement of the disease resistance of crop cultivars remains the most economic, straightforward and environmental-friendly option to mitigate the risk. We begin with a brief recap of the classical genetic efforts that provided first insights into the genetic determinants controlling plant response to different races of FW pathogen in grain legumes. Subsequent technological breakthroughs like sequencing technologies have enhanced our understanding of the genetic basis of both plant resistance and pathogenicity. We present noteworthy examples of targeted improvement of plant resistance using genomics-assisted approaches. In parallel, modern functional genomic tools like RNA-seq are playing a greater role in illuminating the various aspects of plant-pathogen interaction. Further, proteomics and metabolomics have also been leveraged in recent years to reveal molecular players and various signaling pathways and complex networks participating in host-pathogen interaction. Finally, we present a perspective on the challenges and limitations of high-throughput phenotyping and emerging breeding approaches to expeditiously develop FW-resistant cultivars under the changing climate.

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UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#13 Climate Action
#15 Life on Land

Source: InCites

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Collaboration types
Domestic collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.4 Crop Science
3.4.96 QTL
Web Of Science research areas
Genetics & Heredity
ESI research areas
Molecular Biology & Genetics
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