Consequences of single-locus and tightly linked genomic architectures for evolutionary responses to environmental change
Oomen, R. A., Kuparinen, A., & Hutchings, J. A. (2020). Consequences of single-locus and tightly linked genomic architectures for evolutionary responses to environmental change. Journal of Heredity, 111(4), 319-332. https://doi.org/10.1093/jhered/esaa020
Published inJournal of Heredity
© The American Genetic Association 2020
Genetic and genomic architectures of traits under selection are key factors influencing evolutionary responses. Yet, knowledge of their impacts has been limited by a widespread assumption that most traits are controlled by unlinked polygenic architectures. Recent advances in genome sequencing and eco-evolutionary modelling are unlocking the potential for integrating genomic information into predictions of population responses to environmental change. Using eco-evolutionary simulations, we demonstrate that hypothetical single-locus control of a life history trait produces highly variable and unpredictable harvesting-induced evolution relative to the classically applied multi-locus model. Single-locus control of complex traits is thought to be uncommon, yet blocks of linked genes, such as those associated with some types of structural genomic variation, have emerged as taxonomically widespread phenomena. Inheritance of linked architectures resembles that of single loci, thus enabling single-locus-like modeling of polygenic adaptation. Yet, the number of loci, their effect sizes, and the degree of linkage among them all occur along a continuum. We review how linked architectures are often associated, directly or indirectly, with traits expected to be under selection from anthropogenic stressors and are likely to play a large role in adaptation to environmental disturbance. We suggest using single-locus models to explore evolutionary extremes and uncertainties when the trait architecture is unknown, refining parameters as genomic information becomes available, and explicitly incorporating linkage among loci when possible. By overestimating the complexity (e.g., number of independent loci) of the genomic architecture of traits under selection, we risk underestimating the complexity (e.g., nonlinearity) of their evolutionary dynamics. ...
PublisherOxford University Press
Publication in research information system
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Related funder(s)Academy of Finland; European Commission
Funding program(s)Academy Project, AoF
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about fundingThis work was supported by a James S. McDonnell Foundation 21st Century Postdoctoral Fellowship Award to RAO; the Academy of Finland to AK; the European Research Council (grant number COMPLEX-FISH 770884) to AK; the Natural Sciences and Engineering Research Council of Canada Discovery Grant to JAH; the Killam Trusts to JAH; and Loblaw Companies Limited to JAH. The present study reflects only the authors’ view and the European Research Council is not responsible for any use that may be made of the information it contains. ...
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