Can We Use Genomic Data to Predict Maladaptation to Environmental Change?

Climate change is happening fast, maybe too fast for some species and populations to adapt in time. Therefore, practice and science are highly interested in predicting how populations may react to future changes. Such information could be used to identify populations at risk or sources for assisted gene flow. Ideally, such predictions account for intraspecific genetic variation and adaptation. A promising approach is genomic offset, which aims at predicting the disruption to adaptation arising from environmental change. In this issue of Molecular Ecology Resources, Lind and Lotterhos (2024) perform an enormous simulation effort to test the performance of genomic offset under various evolutionary and ecological settings. They show that genomic offset is a valuable approach for predicting fitness under changed environments, but that performance can be reduced under certain conditions, especially under highly novel environments.

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Publication Details

Journal
Molecular Ecology Resources
Published
2024-12-26
DOI
https://doi.org/10.1111/1755-0998.14059
Citations
3
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
2.76
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article

Can We Use Genomic Data to Predict Maladaptation to Environmental Change?

Stephen R. Keller, Christian Rellstab
3 citations
Molecular Ecology Resources
Species Distribution and Climate Change
2.76
article

Can We Use Genomic Data to Predict Maladaptation to Environmental Change?

Stephen R. Keller, Christian Rellstab
article en
3 citations

Abstract

Climate change is happening fast, maybe too fast for some species and populations to adapt in time. Therefore, practice and science are highly interested in predicting how populations may react to future changes. Such information could be used to identify populations at risk or sources for assisted gene flow. Ideally, such predictions account for intraspecific genetic variation and adaptation. A promising approach is genomic offset, which aims at predicting the disruption to adaptation arising from environmental change. In this issue of Molecular Ecology Resources, Lind and Lotterhos (2024) perform an enormous simulation effort to test the performance of genomic offset under various evolutionary and ecological settings. They show that genomic offset is a valuable approach for predicting fitness under changed environments, but that performance can be reduced under certain conditions, especially under highly novel environments.

Molecular Ecology ResourcesVol. 25(4)
University of Vermont (US), Swiss Federal Institute for Forest, Snow and Landscape Research (CH)
Climate action
Openalex Percentile: Top 9%
Species Distribution and Climate Change
2.76
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Can We Use Genomic Data to Predict Maladaptation to Environmental Change? — Stephen R. Keller, Christian Rellstab · Molecular Ecology Resources (2024) | TGRS Research Map | TGRS