Bonnet, T., Morrissey, M.B., de Villemereuil, P. et al. (37 more authors) (2022) Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals. Science, 376 (6596). pp. 1012-1016. ISSN 0036-8075
Abstract
The rate of adaptive evolution, the contribution of selection to genetic changes that increase mean fitness, is determined by the additive genetic variance in individual relative fitness. To date, there are few robust estimates of this parameter for natural populations, and it is therefore unclear whether adaptive evolution can play a meaningful role in short-term population dynamics. We developed and applied quantitative genetic methods to long-term datasets from 19 wild bird and mammal populations and found that, while estimates vary between populations, additive genetic variance in relative fitness is often substantial and, on average, twice that of previous estimates. We show that these rates of contemporary adaptive evolution can affect population dynamics and hence that natural selection has the potential to partly mitigate effects of current environmental change.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an author-produced version of a paper subsequently published in Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Adaptation, Biological; Animals; Animals, Wild; Biological Evolution; Birds; Datasets as Topic; Genetic Fitness; Genetic Variation; Mammals; Population Dynamics; Selection, Genetic |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield) |
Funding Information: | Funder Grant number European Research Council 202487; AVIANEGG - 202487 Natural Environment Research Council NE/M002896/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Jun 2022 08:22 |
Last Modified: | 20 Jun 2022 08:22 |
Status: | Published |
Publisher: | American Association for the Advancement of Science (AAAS) |
Refereed: | Yes |
Identification Number: | 10.1126/science.abk0853 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:188184 |