Genomic signatures of climate adaptation in bank voles

Evidence for divergent selection and adaptive variation across the landscape 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 climate mediated 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 (Clethrionomys glareolus) distributed across Europe. To identify the loci subject to selection 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 loci for adaptation, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism ..., We investigate genomic adaptations in a small mammal distributed throughout Europe (3,200 km) using a multivariate and multimethod approach. We sampled 12 populations and 276 individuals using a ddRAD sequencing approach. We found strong spatial structuring of populations, and identified candidate genes for climate adaptation using genotype-environmental association methods., , This README file was generated on 2024-02-18 by Remco Folkertsma.

# Data from: Genomic signatures of climate adaptation in bank voles

[https://doi.org/10.5061/dryad.1c59zw42p](https://doi.org/10.5061/dryad.1c59zw42p)

We utilized a ddRAD sequencing approach to sequence the genome of 276 bank voles (*Clethrionomys glareolus*) from 12 populations from across Europe. This dataset includes the input files containing genomic data and environmental data, as well as R-scripts and sample meta-data. Genomic and environmental data was used to perform genotype-environmental analysis using LFMM, Bayenv2 and redundancy analysis in R (RDA-script included).

## GENERAL INFORMATION

1\. Title of Dataset: Genomic signatures of climate adaptation in bank voles

2\. Author Information

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A. Principal Investigator Contact Information

Name: Remco Folkertsma

Institution: Potsdam University

Email: [e-mail]
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3\. Date of data collection (single date, range, approximate date): 201...,