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Genomic signatures of climate adaptation in bank voles
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  • Remco Folkertsma,
  • Nathalie Charbonnel,
  • Heikki Henttonen,
  • Marta Heroldova,
  • Otso Huitu,
  • Petr Kotlik,
  • Emiliano Manzo,
  • Johanna L. A. Paijmans,
  • Olivier Plantard,
  • Attila Sándor ,
  • Michael Hofreiter,
  • Jana Eccard
Remco Folkertsma
University of Potsdam Faculty of Mathematics and Natural Sciences
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Nathalie Charbonnel
Centre de Biologie pour la Gestion des Populations
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Heikki Henttonen
Natural Resources Institute Finland
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Marta Heroldova
Mendel University in Brno
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Otso Huitu
Natural Resources Institute Finland
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Petr Kotlik
Institute of Animal Physiology and Genetics Czech Academy of Sciences
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Emiliano Manzo
Fondazione Ethoikos
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Johanna L. A. Paijmans
University of Cambridge Department of Zoology
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Olivier Plantard
INRAE, Oniris
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Attila Sándor
University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca
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Michael Hofreiter
University of Potsdam
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Jana Eccard
Universitat Potsdam

Corresponding Author:eccard@uni-potsdam.de

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Evidence for spatially varying selection and adaptive variation can provide insight into a species’ ability to adapt to different environments. However, despite recent advances in genomics, it remains difficult to detect footprints of spatially varying selection in natural populations. Here we analysed ddRAD sequencing data (21,892 SNPs) in conjunction with geographic climate variation to search for signatures of adaptive differentiation in twelve populations of the bank vole (Myodes/Clethrionomys glareolus) distributed across Europe. To identify the loci subject to spatially varying selection and associated with climate variation, we applied multiple genotype-environment association (GEA) methods, two univariate and one multivariate, and controlled for the effect of population structure. In total, we identified 213 candidate adaptive loci, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism and the immune system. Using the results of redundancy analysis (RDA), we demonstrated that population history and climate have joint effects on the genetic variation in the pan-European metapopulation. Furthermore, by examining only candidate loci, we found that annual mean temperature is an important factor shaping adaptive genetic variation in the bank vole. By combining landscape genomic approaches, our study sheds light on genome-wide adaptive differentiation and the spatial distribution of variants underlying adaptive variation in bank voles that are influenced by local climate.
05 May 2023Submitted to Ecology and Evolution
08 May 2023Submission Checks Completed
08 May 2023Assigned to Editor
16 May 2023Reviewer(s) Assigned
05 Jul 2023Review(s) Completed, Editorial Evaluation Pending
31 Jul 2023Editorial Decision: Revise Minor
31 Oct 20231st Revision Received
18 Nov 2023Assigned to Editor
18 Nov 2023Submission Checks Completed
18 Nov 2023Review(s) Completed, Editorial Evaluation Pending