Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions

Author:

Chantepie Stéphane123,Charmantier Anne4,Delahaie Boris56,Adriaensen Frank7,Matthysen Erik7,Visser Marcel E8,Álvarez Elena9,Barba Emilio9,Orell Markku10,Sheldon Ben11,Ivankina Elena12,Kerimov Anvar13ORCID,Lavergne Sébastien1,Teplitsky Céline4

Affiliation:

1. Université Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, CNRS, LECA, Laboratoire d’Écologie Alpine , Grenoble , France

2. Institut de Systématique, Évolution, Biodiversité, École Pratique des Hautes Études, Paris Sciences et Lettres, Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, Université des Antilles , Paris , France

3. INRAE, ONF, BIOFORA , 45075, Orléans , France

4. CEFE, Univ Montpellier, CNRS, EPHE, IRD , Montpellier , France

5. CIRAD, UMR DIADE , Montpellier 34398 , France

6. UMR DIADE, Université de Montpellier, CIRAD, IRD , Montpellier , France

7. Evolutionary Ecology Group, Department of Biology, University of Antwerp , Wilrijk , Belgium

8. Department of Animal Ecology, Netherlands Institute of Ecology , Wageningen , The Netherlands

9. Cavanilles Institute of Biodiversity and Evolutionary Biology, Department of Microbiology and Ecology, University of Valencia , Paterna , Spain

10. Ecology and Genetics Research Unit, Faculty of Science, University of Oulu , Oulu , Finland

11. Edward Grey Institute, Department of Biology, University of Oxford , Oxford , United Kingdom

12. Zvenigorod Biological Station of Lomonosov Moscow State University , Moscow , Russia

13. Department of Vertebrate Zoology, Faculty of Biology, Lomonosov Moscow State University , Moscow , Russia

Abstract

Abstract Short-term adaptive evolution represents one of the primary mechanisms allowing species to persist in the face of global change. Predicting the adaptive response at the species level requires reliable estimates of the evolutionary potential of traits involved in adaptive responses, as well as understanding how evolutionary potential varies across a species’ range. Theory suggests that spatial variation in the fitness landscape due to environmental variation will directly impact the evolutionary potential of traits. However, empirical evidence on the link between environmental variation and evolutionary potential across a species range in the wild is lacking. In this study, we estimate multivariate evolutionary potential (via the genetic variance–covariance matrix, or G-matrix) for six morphological and life history traits in 10 wild populations of great tits (Parus major) distributed across Europe. The G-matrix significantly varies in size, shape, and orientation across populations for both types of traits. For life history traits, the differences in G-matrix are larger when populations are more distant in their climatic niche. This suggests that local climates contribute to shaping the evolutionary potential of phenotypic traits that are strongly related to fitness. However, we found no difference in the overall evolutionary potential (i.e., G-matrix size) between populations closer to the core or the edge of the distribution area. This large-scale comparison of G-matrices across wild populations emphasizes that integrating variation in multivariate evolutionary potential is important to understand and predict species’ adaptive responses to new selective pressures.

Funder

OREME

Spanish Ministry of Science and Innovation

BNP-Paribas Foundation

Publisher

Oxford University Press (OUP)

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