ArticleCommunications biology2024
Genetic admixture drives climate adaptation in the bank vole.
Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Weak but Repeated Patterns of Co-Introgression of Nuclear OXPHOS Genes and Mitochondrial DNA in Iberian Wall Lizards.Genome biology and evolution · 2026Article
- Local adaptation sustains genetic differentiation between two varieties of Chinese walnut (Plant diversity · 2026Article
- Beyond the laboratory: the bank vole (Clethrionomys glareolus) as a novel model organism in biological research.Frontiers in zoology · 2025Review
- Disjunct Northern Populations as Reservoirs of Evolutionary Diversity: Insights from the Aesculapian Snake (Animals : an open access journal from MDPI · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Genetic admixture introduces new variants at relatively high frequencies, potentially aiding rapid responses to environmental changes. Here, we evaluate its role in adaptive variation related to climatic conditions in bank voles (Clethrionomys glareolus) in Britain, using whole-genome data. Our results reveal loci showing excess ancestry from one of the two postglacial colonist populations inconsistent with overall admixture patterns. Notably, loci associated with climate adaptation exhibit disproportionate amounts of excess ancestry, highlighting the impact of admixture between colonist populations on local adaptation. The results suggest strong and localized selection on climate-adaptive loci, as indicated by steep clines and/or shifted cline centres, during population replacement. A subset, including a haemoglobin gene, is associated with oxidative stress responses, underscoring a role of oxidative stress in local adaptation. Our study highlights the important contribution of admixture during secondary contact between populations from distinct climatic refugia enriching adaptive diversity. Understanding these dynamics is crucial for predicting future adaptive capacity to anthropogenic climate change.
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