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

Chantepie Stéphane, Charmantier Anne, Delahaie Boris, Adriaensen Frank, Matthysen Erik, Visser Marcel E., Alvarez Elena, Barba Emilio, Orell Markku, Sheldon Ben, Ivankina Elena, Kerimov Anvar, Lavergne Sébastien, Teplitsky Céline. 2024. Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions. Evolution Letters, 8 (1) : 29-42.

https://doi.org/10.1093/evlett/qrad067

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total

Prévisualisation

Version Online first - Anglais
Sous licence

.
qrad067.pdf
Télécharger (1MB) | Prévisualisation

Prévisualisation

Version publiée - Anglais
Sous licence

.
608092.pdf
Télécharger (15MB) | Prévisualisation

Url - jeu de données - Entrepôt autre : https://doi.org/10.6084/m9.figshare.24783900.v1. / Url - autres données associées : https://github.com/schantepie/NullGmatrix/

Résumé : 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.

Mots-clés Agrovoc : changement climatique, adaptation aux changements climatiques, dynamique des populations, génétique des populations, variation génétique, évolution, distribution géographique, phénotype, intéraction génotype environnement, facteur climatique, variation phénotypique, impact sur l'environnement

Mots-clés géographiques Agrovoc : Finlande, Espagne, Fédération de Russie, France, Belgique, Pays-Bas (Royaume des), Angleterre

Mots-clés complémentaires : Parus major

Mots-clés libres : G-matrix, Wild populations, Climatic niche

Classification Agris : P40 - Météorologie et climatologie
L10 - Génétique et amélioration des animaux
L20 - Écologie animale

Champ stratégique Cirad : CTS 6 (2019-) - Changement climatique

Agences de financement hors UE : Observatoire de REcherche Montpelliérain de l'Environnement, Centre National de la Recherche Scientifique, Fondation BNP Paribas

Auteurs et affiliations