A1 Journal article (refereed)
Genome‐phenotype‐environment associations identify signatures of selection in a panmictic population of threespine stickleback (2023)
Strickland, K., Räsänen, K., Kristjánsson, B. K., Phillips, J. S., Einarsson, A., Snorradóttir, R. G., Bartrons, M., & Jónsson, Z. O. (2023). Genome‐phenotype‐environment associations identify signatures of selection in a panmictic population of threespine stickleback. Molecular Ecology, 32(7), 1708-1725. https://doi.org/10.1111/mec.16845
JYU authors or editors
Publication details
All authors or editors: Strickland, K.; Räsänen, K.; Kristjánsson, B. K.; Phillips, J. S.; Einarsson, A.; Snorradóttir, R. G.; Bartrons, M.; Jónsson, Z. O.
Journal or series: Molecular Ecology
ISSN: 0962-1083
eISSN: 1365-294X
Publication year: 2023
Publication date: 10/01/2023
Volume: 32
Issue number: 7
Pages range: 1708-1725
Publisher: Wiley-Blackwell
Publication country: United Kingdom
Publication language: English
DOI: https://doi.org/10.1111/mec.16845
Publication open access: Openly available
Publication channel open access: Partially open access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/86292
Abstract
Adaptive genetic divergence occurs when selection imposed by the environment causes the genomic component of the phenotype to differentiate. However, genomic signatures of natural selection are usually identified without information on which trait is responding to selection by which selective agent(s). Here we integrate whole-genome-sequencing with phenomics and measures of putative selective agents to assess the extent of adaptive divergence in threespine stickleback occupying the highly heterogeneous lake Mývatn, NE Iceland. We find negligible genome wide divergence, yet multiple traits (body size, gill raker structure and defence traits) were divergent along known ecological gradients (temperature, predatory bird densities and water depth). SNP based heritability of all measured traits was high (h2 = 0.42 – 0.65), indicating adaptive potential for all traits. Environment-association analyses further identified thousands of loci putatively involved in selection, related to genes linked to, for instance, neuron development and protein phosphorylation. Finally, we found that loci linked to water depth were concurrently associated with pelvic spine length variation - supporting the conclusion that divergence in pelvic spine length occurred in face of gene flow. Our results suggest that whilst there is substantial genetic variation in the traits measured, phenotypic divergence of Mývatn stickleback is mostly weakly associated with environmental gradients, potentially as a result of substantial gene flow. Our study illustrates the value of integrative studies that combine genomic assays of multivariate trait variation with landscape genomics.
Keywords: genome; genes; properties; structure (properties); DNA; heritability; phenotype; population genetics
Free keywords: adaptive divergence; gene flow; environmental gradients; genome scans; landscape genomics; gasterosteus aculeatus
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2023
JUFO rating: 3