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Agricultural landscape genomics to increase crop resilience

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
2590-3462
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
262d6b24-a8e5-4894-adc3-ffe3cae730fa
Runck, Bryan
1451d5c7-c6fd-4c82-a418-e9eefcf91161
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
e241b192-af70-4f50-8c90-5c77d5c0853f
Bedford, James A
c8db1d0c-7b73-42b8-9e22-e96cd8140cca
Yu, Yue
9f031980-6c75-47d0-a9f1-8f13406cec67
McCormick, Anna
ff898065-f737-4c44-8122-8fd33a841127
Castaneda-Alvarez, Nora
262d6b24-a8e5-4894-adc3-ffe3cae730fa
Runck, Bryan
1451d5c7-c6fd-4c82-a418-e9eefcf91161
Neyhart, Jeffrey
6735d24a-d51f-40b9-bd2e-acf0bdabd6f2
Ewing, Patrick
e4ede906-2d3a-4904-8212-b090635b7728
Ortiz-Barrientos, Daniel
bb78fbf8-f7f3-4649-8c76-5a2e93ff54c8
Gao, Lexuan
b5f1e36c-fa7b-4634-8342-0058d22f130e
Wang, Diane
867a44f0-b11c-49b0-b392-d11fc1071dec
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, [101260]. (doi:10.1016/j.xplc.2025.101260).

Record type: Review

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
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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

Identifiers

Local EPrints ID: 498242
URI: http://eprints.soton.ac.uk/id/eprint/498242
ISSN: 2590-3462
PURE UUID: 6cf9d315-04ad-4745-9f05-6e92988905e8
ORCID for Mark A Chapman: ORCID iD orcid.org/0000-0002-7151-723X

Catalogue record

Date deposited: 12 Feb 2025 17:53
Last modified: 14 May 2025 01:46

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Contributors

Author: Quinn Campbell
Author: James A Bedford
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: Mark A Chapman ORCID iD
Author: Loren H Rieseberg
Author: Michael Kantar

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