A1 Journal article (refereed)
Consequences of single-locus and tightly linked genomic architectures for evolutionary responses to environmental change (2020)


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


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Publication details

All authors or editors: Oomen, Rebekah A.; Kuparinen, Anna; Hutchings, Jeffrey A.

Journal or series: Journal of Heredity

ISSN: 0022-1503

eISSN: 1465-7333

Publication year: 2020

Volume: 111

Issue number: 4

Pages range: 319-332

Publisher: Oxford University Press

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1093/jhered/esaa020

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/72832


Abstract

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.


Keywords: evolution; genes; genome; environmental changes; climate changes

Free keywords: climate change; evolutionary simulation; genetic architecture; linkage disequilibrium; recombination rate; structural genomic variation


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Ministry reporting: Yes

Reporting Year: 2020

JUFO rating: 1


Last updated on 2022-20-09 at 15:34