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dc.contributor.authorOomen, Rebekah Alice
dc.contributor.authorKuparinen, Anna
dc.contributor.authorHutchings, Jeffrey
dc.date.accessioned2020-11-09T10:37:52Z
dc.date.available2020-11-09T10:37:52Z
dc.date.created2020-10-16T13:09:06Z
dc.date.issued2020
dc.identifier.citationJournal of Heredity. 2020, 111 (4), 319-332.en_US
dc.identifier.issn0022-1503
dc.identifier.urihttps://hdl.handle.net/11250/2686912
dc.description.abstractGenetic 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 modeling 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 multilocus 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.en_US
dc.language.isoengen_US
dc.titleConsequences of single-locus and tightly linked genomic architectures for evolutionary responses to environmental changeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber319-332en_US
dc.source.volume111en_US
dc.source.journalJournal of Heredityen_US
dc.source.issue4en_US
dc.identifier.doi10.1093/jhered/esaa020
dc.identifier.cristin1840154
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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