Genome-environment association analyses reveal geographically restricted adaptive divergence across the range of the widespread Eurasian carnivore

Eurasian lynx Lynx lynx conservation units genome scans local adaptation subspecies

Journal

Evolutionary applications
ISSN: 1752-4571
Titre abrégé: Evol Appl
Pays: England
ID NLM: 101461828

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 22 07 2022
revised: 18 05 2023
accepted: 06 06 2023
medline: 29 11 2023
pubmed: 29 11 2023
entrez: 29 11 2023
Statut: epublish

Résumé

Local adaptations to the environment are an important aspect of the diversity of a species and their discovery, description and quantification has important implications for the fields of taxonomy, evolutionary and conservation biology. In this study, we scan genomes from several populations across the distributional range of the Eurasian lynx, with the objective of finding genomic windows under positive selection which may underlie local adaptations to different environments. A total of 394 genomic windows are found to be associated to local environmental conditions, and they are enriched for genes involved in metabolism, behaviour, synaptic organization and neural development. Adaptive genetic structure, reconstructed from SNPs in candidate windows, is considerably different than the neutral genetic structure of the species. A widespread adaptively homogeneous group is recovered occupying areas of harsher snow and temperature climatic conditions in the north-western, central and eastern parts of the distribution. Adaptively divergent populations are recovered in the westernmost part of the range, especially within the Baltic population, but also predicted for different patches in the western and southern part of the range, associated with different snow and temperature regimes. Adaptive differentiation driven by climate does not correlate much with the subspecies taxonomic delimitations, suggesting that subspecific divergences are mostly driven by neutral processes of genetic drift and gene flow. Our results will aid the selection of source populations for assisted gene flow or genetic rescue programs by identifying what climatic patterns to look for as predictors of pre-adaptation of individuals. Particularly, the Carpathian population is confirmed as the best source of individuals for the genetic rescue of the endangered, isolated and genetically eroded Balkan population. Additionally, reintroductions in central and western Europe, currently based mostly on Carpathian lynxes, could consider the Baltic population as an additional source to increase adaptive variation and likely improve adaptation to their milder climate.

Identifiants

pubmed: 38029067
doi: 10.1111/eva.13570
pii: EVA13570
pmc: PMC10681490
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1773-1788

Informations de copyright

© 2023 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Enrico Bazzicalupo (E)

Department of Ecology and Evolution Estación Biológica de Doñana (CSIC) Seville Spain.

Mirosław Ratkiewicz (M)

Faculty of Biology University of Białystok Białystok Poland.

Ivan V Seryodkin (IV)

Laboratory of Ecology and Conservation of Animals Pacific Institute of Geography of Far East Branch of Russian Academy of Sciences Vladivostok Russia.

Innokentiy Okhlopkov (I)

Institute for Biological Problems of Cryolithozone Siberian Branch of the Russian Academy of Sciences Yakutsk Russia.

Naranbaatar Galsandorj (N)

Institute of Biology Mongolian Academy of Sciences Ulaanbaatar Mongolia.

Yuriy A Yarovenko (YA)

Pre-Caspian Institute of Biological Resources Dagestan Federal Scientific Centre of RAS Makhachkala Russia.

Janis Ozolins (J)

Department of Hunting and Wildlife Management Latvijas Valsts mežzinātnes institūts "Silava" Salaspils Latvia.

Alexander P Saveljev (AP)

Department of Animal Ecology Russian Research Institute of Game Management and Fur Farming Kirov Russia.

Dime Melovski (D)

Macedonian Ecological Society (MES) Skopje North Macedonia.

Alexander Gavashelishvili (A)

Center of Biodiversity Studies, Institute of Ecology Ilia State University Tbilisi Georgia.

Krzysztof Schmidt (K)

Mammal Research Institute Polish Academy of Sciences Białowieża Poland.

José A Godoy (JA)

Department of Ecology and Evolution Estación Biológica de Doñana (CSIC) Seville Spain.

Classifications MeSH