Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals-Reference-Cited by-同舟云学术

Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals

Published:2022-05-27 Issue:6596 Volume:376 Page:1012-1016
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Bonnet Timothée¹^ORCID,Morrissey Michael B.²^ORCID,de Villemereuil Pierre³⁴^ORCID,Alberts Susan C.⁵^ORCID,Arcese Peter⁶^ORCID,Bailey Liam D.⁷^ORCID,Boutin Stan⁸^ORCID,Brekke Patricia⁹^ORCID,Brent Lauren J. N.¹⁰^ORCID,Camenisch Glauco¹¹,Charmantier Anne¹²^ORCID,Clutton-Brock Tim H.¹³¹⁴^ORCID,Cockburn Andrew¹,Coltman David W.⁸^ORCID,Courtiol Alexandre⁷^ORCID,Davidian Eve⁷^ORCID,Evans Simon R.¹⁵¹⁶¹⁷^ORCID,Ewen John G.⁹^ORCID,Festa-Bianchet Marco¹⁸^ORCID,de Franceschi Christophe¹²,Gustafsson Lars¹⁶^ORCID,Höner Oliver P.⁷^ORCID,Houslay Thomas M.¹³¹⁷^ORCID,Keller Lukas F.¹¹¹⁹^ORCID,Manser Marta¹¹¹⁴^ORCID,McAdam Andrew G.²⁰^ORCID,McLean Emily²¹^ORCID,Nietlisbach Pirmin²²^ORCID,Osmond Helen L.¹,Pemberton Josephine M.²³^ORCID,Postma Erik¹⁷^ORCID,Reid Jane M.²⁴²⁵^ORCID,Rutschmann Alexis⁴^ORCID,Santure Anna W.⁴^ORCID,Sheldon Ben C.¹⁵^ORCID,Slate Jon²⁶^ORCID,Teplitsky Céline¹²^ORCID,Visser Marcel E.²⁷^ORCID,Wachter Bettina⁷^ORCID,Kruuk Loeske E. B.¹²³

Affiliation:

1. Research School of Biology, Australian National University, Canberra, ACT, Australia.

2. School of Biology, University of St Andrews, St Andrews, Fife, UK.

3. Institut de Systématique, Évolution, Biodiversité (ISYEB), École Pratique des Hautes Études, PSL, MNHN, CNRS, SU, UA, Paris, France.

4. School of Biological Sciences, University of Auckland, Auckland, New Zealand.

5. Departments of Biology and Evolutionary Anthropology, Duke University, Durham, NC, USA.

6. Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.

7. Departments of Evolutionary Ecology and Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.

8. Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.

9. Institute of Zoology, Zoological Society of London, Regents Park, London, UK.

10. Centre for Research in Animal Behaviour, University of Exeter, Penryn, UK.

11. Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.

12. Centre d’Écologie Fonctionnelle et Évolutive, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France.

13. Department of Zoology, University of Cambridge, Cambridge, UK.

14. Mammal Research Institute, University of Pretoria, Pretoria, South Africa.

15. Edward Grey Institute, Department of Zoology, University of Oxford, Oxford, UK.

16. Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden.

17. Centre for Ecology and Conservation, University of Exeter, Penryn, UK.

18. Département de Biologie, Université de Sherbrooke, Sherbrooke, Québec, Canada.

19. Zoological Museum, University of Zurich,, Zurich, Switzerland.

20. Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA.

21. Biology Department, Oxford College, Emory University, Oxford, GA, USA.

22. School of Biological Sciences, Illinois State University, Normal, IL, USA.

23. Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.

24. Centre for Biodiversity Dynamics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

25. School of Biological Sciences, University of Aberdeen, Aberdeen, UK.

26. Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK.

27. Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, Netherlands.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference241 articles.

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