Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions
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.
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P40 - Météorologie et climatologie L10 - Génétique et amélioration des animaux L20 - Écologie animale 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 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_34326 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_2905 http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_33240 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_870 http://aims.fao.org/aos/agrovoc/c_5142 http://aims.fao.org/aos/agrovoc/c_2574 P40 - Météorologie et climatologie L10 - Génétique et amélioration des animaux L20 - Écologie animale 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 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_34326 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_2905 http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_33240 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_870 http://aims.fao.org/aos/agrovoc/c_5142 http://aims.fao.org/aos/agrovoc/c_2574 |
spellingShingle |
P40 - Météorologie et climatologie L10 - Génétique et amélioration des animaux L20 - Écologie animale 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 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_34326 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_2905 http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_33240 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_870 http://aims.fao.org/aos/agrovoc/c_5142 http://aims.fao.org/aos/agrovoc/c_2574 P40 - Météorologie et climatologie L10 - Génétique et amélioration des animaux L20 - Écologie animale 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 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_34326 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_2905 http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_33240 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_870 http://aims.fao.org/aos/agrovoc/c_5142 http://aims.fao.org/aos/agrovoc/c_2574 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 Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
description |
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. |
format |
article |
topic_facet |
P40 - Météorologie et climatologie L10 - Génétique et amélioration des animaux L20 - Écologie animale 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 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_34326 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_24420 http://aims.fao.org/aos/agrovoc/c_2905 http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_33240 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_870 http://aims.fao.org/aos/agrovoc/c_5142 http://aims.fao.org/aos/agrovoc/c_2574 |
author |
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 |
author_facet |
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 |
author_sort |
Chantepie, Stéphane |
title |
Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
title_short |
Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
title_full |
Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
title_fullStr |
Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
title_full_unstemmed |
Divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
title_sort |
divergence in evolutionary potential of life history traits among wild populations is predicted by differences in climatic conditions |
url |
http://agritrop.cirad.fr/608092/ http://agritrop.cirad.fr/608092/7/608092.pdf |
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dig-cirad-fr-6080922024-05-02T14:40:50Z http://agritrop.cirad.fr/608092/ http://agritrop.cirad.fr/608092/ 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. Evolution Letters, 8 (1) : 29-42.https://doi.org/10.1093/evlett/qrad067 <https://doi.org/10.1093/evlett/qrad067> 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 eng 2024 Divergence in evolutionary potential of life-history traits among wild populations is predicted by differences in climatic conditions Evolution Letters P40 - Météorologie et climatologie L10 - Génétique et amélioration des animaux L20 - Écologie animale 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 http://aims.fao.org/aos/agrovoc/c_1666 http://aims.fao.org/aos/agrovoc/c_1374567058134 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_34326 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_2745 http://aims.fao.org/aos/agrovoc/c_5083 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_24577 http://aims.fao.org/aos/agrovoc/c_29554 http://aims.fao.org/aos/agrovoc/c_903c4959 http://aims.fao.org/aos/agrovoc/c_24420 Finlande Espagne Fédération de Russie France Belgique Pays-Bas (Royaume des) Angleterre http://aims.fao.org/aos/agrovoc/c_2905 http://aims.fao.org/aos/agrovoc/c_7273 http://aims.fao.org/aos/agrovoc/c_33240 http://aims.fao.org/aos/agrovoc/c_3081 http://aims.fao.org/aos/agrovoc/c_870 http://aims.fao.org/aos/agrovoc/c_5142 http://aims.fao.org/aos/agrovoc/c_2574 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. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/608092/7/608092.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1093/evlett/qrad067 10.1093/evlett/qrad067 info:eu-repo/semantics/altIdentifier/doi/10.1093/evlett/qrad067 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1093/evlett/qrad067 info:eu-repo/semantics/dataset/purl/https://doi.org/10.6084/m9.figshare.24783900.v1. info:eu-repo/semantics/reference/purl/https://github.com/schantepie/NullGmatrix/ |