Adapting to climate with limited genetic diversity: Nucleotide, DNA methylation and microbiome variation among populations of the social spider Stegodyphus dumicola. Issue 22 (2nd October 2022)

• Record Type: Journal Article
• Authors: Aagaard, Anne; Liu, Shenglin; Tregenza, Tom; Braad Lund, Marie; Schramm, Andreas; Verhoeven, Koen J. F.; Bechsgaard, Jesper; Bilde, Trine
• Is Part Of: Molecular ecology. Volume 31:Issue 22(2022)
• Page Start: 5765
• Page End: 5783
• Publication Date: 2022-10-02
• Subjects: adaptation -- DNA methylation -- low evolutionary potential -- microbiome -- phenotypic plasticity -- social spiders; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.16696
• Languages: English
• ISSNs: 0962-1083

Abstract

Abstract: Understanding the role of genetic and nongenetic variants in modulating phenotypes is central to our knowledge of adaptive responses to local conditions and environmental change, particularly in species with such low population genetic diversity that it is likely to limit their evolutionary potential. A first step towards uncovering the molecular mechanisms underlying population‐specific responses to the environment is to carry out environmental association studies. We associated climatic variation with genetic, epigenetic and microbiome variation in populations of a social spider with extremely low standing genetic diversity. We identified genetic variants that are associated strongly with environmental variation, particularly with average temperature, a pattern consistent with local adaptation. Variation in DNA methylation in many genes was strongly correlated with a wide set of climate parameters, thereby revealing a different pattern of associations than that of genetic variants, which show strong correlations to a more restricted range of climate parameters. DNA methylation levels were largely independent of cis ‐genetic variation and of overall genetic population structure, suggesting that DNA methylation can work as an independent mechanism. Microbiome composition also correlated with environmental variation, but most strong associations were with precipitation‐related climatic factors. Our results suggest a role for both genetic and nongenetic mechanisms in shaping phenotypic responses to local environments.