Projection of current and future distribution of adaptive genetic units in an alpine ungulate.

Autor: Hoste A; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France., Capblancq T; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France.; Department of Plant Biology, University of Vermont, Burlington, VT, 05405, USA., Broquet T; CNRS, Sorbonne Université, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680, Roscoff, France., Denoyelle L; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France., Perrier C; UMR CBGP, INRAE, CIRAD, IRD, Institut Agro, Université Montpellier, Montpellier, France., Buzan E; Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000, Koper, Slovenia.; Faculty of Environmental Protection, Trg mladosti 7, 3320, Velenje, Slovenia., Šprem N; Department of Fisheries, Apiculture, Wildlife Management and Special Zoology, Faculty of Agriculture, University of Zagreb, Svetošimunska 25, 10000, Zagreb, Croatia., Corlatti L; Stelvio National Park - ERSAF Lombardia, Via De Simoni 42, 23032, Bormio, Italy.; Chair of Wildlife Ecology and Management, University of Freiburg, Tennenbacher Straße 4, 79106, Freiburg, Germany., Crestanello B; Conservation Genomics Unit, Research and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38098 S, Michele all'Adige, TN, Italy., Hauffe HC; Conservation Genomics Unit, Research and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38098 S, Michele all'Adige, TN, Italy., Pellissier L; Landscape Ecology, Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zrich, Zurich, Switzerland.; Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland., Yannic G; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France. glenn.yannic@univ-smb.fr.
Jazyk: angličtina
Zdroj: Heredity [Heredity (Edinb)] 2024 Jan; Vol. 132 (1), pp. 54-66. Date of Electronic Publication: 2023 Dec 11.
DOI: 10.1038/s41437-023-00661-2
Abstrakt: Climate projections predict major changes in alpine environments by the end of the 21st century. To avoid climate-induced maladaptation and extinction, many animal populations will either need to move to more suitable habitats or adapt in situ to novel conditions. Since populations of a species exhibit genetic variation related to local adaptation, it is important to incorporate this variation into predictive models to help assess the ability of the species to survive climate change. Here, we evaluate how the adaptive genetic variation of a mountain ungulate-the Northern chamois (Rupicapra rupicapra)-could be impacted by future global warming. Based on genotype-environment association analyses of 429 chamois using a ddRAD sequencing approach, we identified genetic variation associated with climatic gradients across the European Alps. We then delineated adaptive genetic units and projected the optimal distribution of these adaptive groups in the future. Our results suggest the presence of local adaptation to climate in Northern chamois with similar genetic adaptive responses in geographically distant but climatically similar populations. Furthermore, our results predict that future climatic changes will modify the Northern chamois adaptive landscape considerably, with various degrees of maladaptation risk.
(© 2023. The Author(s), under exclusive licence to The Genetics Society.)
Databáze: MEDLINE
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