Agricultural landscape genomics to increase crop resilience
Agricultural landscape genomics to increase crop resilience
Populations are continually adapting to their environment. Knowledge of which populations and individuals harbor unique and agriculturally useful variations has the potential to accelerate crop adaptation to the increasingly challenging environments predicted for the coming century. Landscape genomics, which identifies associations between environmental and genomic variation, provides a means for obtaining this knowledge. However, despite extensive efforts to assemble and characterize ex situ collections of crops and their wild relatives, gaps remain in the genomic and environmental datasets needed to robustly implement this approach. This article outlines the history of landscape genomics, which, to date, has mainly been used in conservation and evolutionary studies, provides an overview of crops and wild relative collections that have the necessary data for implementation and identifies areas where new data generation is needed. We find that 60% of the crops covered by the International Treaty on Plant Genetic Resources for Food and Agriculture lack the data necessary to conduct this kind of analysis, necessitating identification of crops in need of more collections, sequencing, or phenotyping. By highlighting these aspects, we aim to help develop agricultural landscape genomics as a sub-discipline that brings together evolutionary genetics, landscape ecology, and plant breeding, ultimately enhancing the development of resilient and adaptable crops for future environmental challenges.
Crop wild relatives, genome–environment association, local adaptation, plant breeding
101260
Campbell, Quinn
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Bedford, James A
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Yu, Yue
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McCormick, Anna
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Castaneda-Alvarez, Nora
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Runck, Bryan
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Neyhart, Jeffrey
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Ewing, Patrick
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Ortiz-Barrientos, Daniel
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Gao, Lexuan
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Wang, Diane
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Chapman, Mark A
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Rieseberg, Loren H
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Kantar, Michael
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10 February 2025
Campbell, Quinn
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Bedford, James A
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Yu, Yue
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McCormick, Anna
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Castaneda-Alvarez, Nora
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Runck, Bryan
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Neyhart, Jeffrey
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Ewing, Patrick
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Ortiz-Barrientos, Daniel
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Gao, Lexuan
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Wang, Diane
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Chapman, Mark A
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Rieseberg, Loren H
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Kantar, Michael
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Campbell, Quinn, Bedford, James A, Yu, Yue, McCormick, Anna, Castaneda-Alvarez, Nora, Runck, Bryan, Neyhart, Jeffrey, Ewing, Patrick, Ortiz-Barrientos, Daniel, Gao, Lexuan, Wang, Diane, Chapman, Mark A, Rieseberg, Loren H and Kantar, Michael
(2025)
Agricultural landscape genomics to increase crop resilience.
Plant Communications, 6 (2), , [101260].
(doi:10.1016/j.xplc.2025.101260).
Abstract
Populations are continually adapting to their environment. Knowledge of which populations and individuals harbor unique and agriculturally useful variations has the potential to accelerate crop adaptation to the increasingly challenging environments predicted for the coming century. Landscape genomics, which identifies associations between environmental and genomic variation, provides a means for obtaining this knowledge. However, despite extensive efforts to assemble and characterize ex situ collections of crops and their wild relatives, gaps remain in the genomic and environmental datasets needed to robustly implement this approach. This article outlines the history of landscape genomics, which, to date, has mainly been used in conservation and evolutionary studies, provides an overview of crops and wild relative collections that have the necessary data for implementation and identifies areas where new data generation is needed. We find that 60% of the crops covered by the International Treaty on Plant Genetic Resources for Food and Agriculture lack the data necessary to conduct this kind of analysis, necessitating identification of crops in need of more collections, sequencing, or phenotyping. By highlighting these aspects, we aim to help develop agricultural landscape genomics as a sub-discipline that brings together evolutionary genetics, landscape ecology, and plant breeding, ultimately enhancing the development of resilient and adaptable crops for future environmental challenges.
Text
PIIS2590346225000227
- Accepted Manuscript
More information
Accepted/In Press date: 21 January 2025
e-pub ahead of print date: 22 January 2025
Published date: 10 February 2025
Additional Information:
Copyright © 2025. Published by Elsevier Inc.
Keywords:
Crop wild relatives, genome–environment association, local adaptation, plant breeding
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Local EPrints ID: 498242
URI: http://eprints.soton.ac.uk/id/eprint/498242
ISSN: 2590-3462
PURE UUID: 6cf9d315-04ad-4745-9f05-6e92988905e8
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Date deposited: 12 Feb 2025 17:53
Last modified: 14 May 2025 01:46
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Contributors
Author:
Quinn Campbell
Author:
Yue Yu
Author:
Anna McCormick
Author:
Nora Castaneda-Alvarez
Author:
Bryan Runck
Author:
Jeffrey Neyhart
Author:
Patrick Ewing
Author:
Daniel Ortiz-Barrientos
Author:
Lexuan Gao
Author:
Diane Wang
Author:
Loren H Rieseberg
Author:
Michael Kantar
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