Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals
| Autor: | Timothée Bonnet, Michael B. Morrissey, Pierre de Villemereuil, Susan C. Alberts, Peter Arcese, Liam D. Bailey, Stan Boutin, Patricia Brekke, Lauren J. N. Brent, Glauco Camenisch, Anne Charmantier, Tim H. Clutton-Brock, Andrew Cockburn, David W. Coltman, Alexandre Courtiol, Eve Davidian, Simon R. Evans, John G. Ewen, Marco Festa-Bianchet, Christophe de Franceschi, Lars Gustafsson, Oliver P. Höner, Thomas M. Houslay, Lukas F. Keller, Marta Manser, Andrew G. McAdam, Emily McLean, Pirmin Nietlisbach, Helen L. Osmond, Josephine M. Pemberton, Erik Postma, Jane M. Reid, Alexis Rutschmann, Anna W. Santure, Ben C. Sheldon, Jon Slate, Céline Teplitsky, Marcel E. Visser, Bettina Wachter, Loeske E. B. Kruuk |
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| Přispěvatelé: | Neurobiology, Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM), University of St Andrews. School of Biology, University of St Andrews. Centre for Biological Diversity, University of St Andrews. Institute of Behavioural and Neural Sciences, University of St Andrews. St Andrews Bioinformatics Unit, Animal Ecology (AnE) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Animals
Wild/genetics [SDV]Life Sciences [q-bio] Population Dynamics Adaptation Biological selection Datasets as Topic datasets as topic Animals Wild adaptation QH426 Genetics genetic fitness Birds Wild/genetics Genetic population dynamics Animals mammals wild Selection Genetic QH426 Selection Birds/genetics Mammals Multidisciplinary [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] Genetic Variation DAS Biological Evolution animals biological evolution birds genetic variation Genetic Fitness |
| Zdroj: | Science, 376(6596), 1012-1016. AMER ASSOC ADVANCEMENT SCIENCE Science Science, 2022, 376 (6596), pp.1012-1016. ⟨10.1126/science.abk0853⟩ Science, 376(6596), 1012-1016. American Association for the Advancement of Science (AAAS) Bonnet, T, Morrissey, M B, de Villemereuil, P, Alberts, S C, Arcese, P, Bailey, L D, Boutin, S, Brekke, P, Brent, L J N, Camenisch, G, Charmantier, A, Clutton-Brock, T H, Cockburn, A, Coltman, D W, Courtiol, A, Davidian, E, Evans, S R, Ewen, J G, Festa-Bianchet, M, de Franceschi, C, Gustafsson, L, Höner, O P, Houslay, T M, Keller, L F, Manser, M, McAdam, A G, McLean, E, Nietlisbach, P, Osmond, H L, Pemberton, J M, Postma, E, Reid, J M, Rutschmann, A, Santure, A W, Sheldon, B C, Slate, J, Teplitsky, C, Visser, M E, Wachter, B & Kruuk, L E B 2022, ' Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals ', Science, vol. 376, no. 6596, pp. 1012-1016 . https://doi.org/10.1126/science.abk0853 |
| ISSN: | 0036-8075 1095-9203 |
| Popis: | Funding: Hoge Veluwe great tits: the NIOO-KNAW, ERC, and numerous funding agencies; Wytham great tits: Biotechnology and Biological Sciences Research Council, ERC, and the UK Natural Environment Research Council (NERC). 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. Postprint |
| Databáze: | OpenAIRE |
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