Evidence map›Paper›PMID 38029067›Full record

ArticleEvolutionary applications2023

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

Enrico Bazzicalupo, Mirosław Ratkiewicz, Ivan V Seryodkin, Innokentiy Okhlopkov, Naranbaatar Galsandorj, Yuriy A Yarovenko, Janis Ozolins, Alexander P Saveljev, Dime Melovski, Alexander Gavashelishvili and 2 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 10 institutions in 7 countries.

Enrico BazzicalupoDepartment of Ecology and Evolution Estación Biológica de Doñana (CSIC) Seville Spain.ORCID https://orcid.org/0000-0003-2394-6280
Mirosław RatkiewiczFaculty of Biology University of Białystok Białystok Poland.ORCID https://orcid.org/0000-0003-2929-3612
Ivan V SeryodkinLaboratory of Ecology and Conservation of Animals Pacific Institute of Geography of Far East Branch of Russian Academy of Sciences Vladivostok Russia.
Innokentiy OkhlopkovInstitute for Biological Problems of Cryolithozone Siberian Branch of the Russian Academy of Sciences Yakutsk Russia.
Naranbaatar GalsandorjInstitute of Biology Mongolian Academy of Sciences Ulaanbaatar Mongolia.
Yuriy A YarovenkoPre-Caspian Institute of Biological Resources Dagestan Federal Scientific Centre of RAS Makhachkala Russia.
Janis OzolinsDepartment of Hunting and Wildlife Management Latvijas Valsts mežzinātnes institūts "Silava" Salaspils Latvia.
Alexander P SaveljevDepartment of Animal Ecology Russian Research Institute of Game Management and Fur Farming Kirov Russia.
Dime MelovskiMacedonian Ecological Society (MES) Skopje North Macedonia.
Alexander GavashelishviliCenter of Biodiversity Studies, Institute of Ecology Ilia State University Tbilisi Georgia.
Krzysztof SchmidtMammal Research Institute Polish Academy of Sciences Białowieża Poland.ORCID https://orcid.org/0000-0002-9043-291X
José A GodoyDepartment of Ecology and Evolution Estación Biológica de Doñana (CSIC) Seville Spain.ORCID https://orcid.org/0000-0001-7502-9471
Estación Biológica de Doñana · ESDagestan Scientific Center of the Russian Academy of Sciences · RUIlia State University · GEInstitute of public health of Republic of Macedonia · MKLatvian State Forest Research Institute "Silava" · LVMammal Research Institute · PLMongolian Academy of Sciences · MNPacific Institute of Geography, Far Eastern Branch of the Russian Academy of Sciences · RUSiberian Branch of the Russian Academy of Sciences · RUUniversity of Białystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

conservation unitsEurasian lynxgenome scanslocal adaptationLynx lynxsubspecies

Identifiers

PMID38029067
PMCPMC10681490
OpenAlexW4387519868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.