Evidence map›Paper›PMID 38343775›Full record

ArticleEvolutionary applications2024

Ecological disturbance reduces genomic diversity across an Alpine whitefish adaptive radiation.

David Frei, Salome Mwaiko, Ole Seehausen, Philine G D Feulner

Abstract read
In one paragraph

Article in Evolutionary applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

David FreiDepartment of Fish Ecology and Evolution EAWAG Swiss Federal Institute of Aquatic Science and Technology Kastanienbaum Switzerland.ORCID https://orcid.org/0000-0002-5779-2817
Salome MwaikoDepartment of Fish Ecology and Evolution EAWAG Swiss Federal Institute of Aquatic Science and Technology Kastanienbaum Switzerland.ORCID https://orcid.org/0000-0002-0241-1685
Ole SeehausenDepartment of Fish Ecology and Evolution EAWAG Swiss Federal Institute of Aquatic Science and Technology Kastanienbaum Switzerland.ORCID https://orcid.org/0000-0001-6598-1434
Philine G D FeulnerDepartment of Fish Ecology and Evolution EAWAG Swiss Federal Institute of Aquatic Science and Technology Kastanienbaum Switzerland.ORCID https://orcid.org/0000-0002-8078-1788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic diversity is associated with the adaptive potential of a population and thereby impacts the extinction risk of a species during environmental change. However, empirical data on genomic diversity of populations before environmental perturbations are rare and hence our understanding of the impact of perturbation on diversity is often limited. We here assess genomic diversity utilising whole-genome resequencing data from all four species of the Lake Constance Alpine whitefish radiation. Our data covers a period of strong but transient anthropogenic environmental change and permits us to track changes in genomic diversity in all species over time. Genomic diversity became strongly reduced during the period of anthropogenic disturbance and has not recovered yet. The decrease in genomic diversity varies between 18% and 30%, depending on the species. Interspecific allele frequency differences of SNPs located in potentially ecologically relevant genes were homogenized over time. This suggests that in addition to the reduction of genome-wide genetic variation, the differentiation that evolved in the process of adaptation to alternative ecologies between species might have been lost during the ecological disturbance. The erosion of substantial amounts of genomic variation within just a few generations in combination with the loss of potentially adaptive genomic differentiation, both of which had evolved over thousands of years, demonstrates the sensitivity of biodiversity in evolutionary young adaptive radiations towards environmental disturbance. Natural history collections, such as the one used for this study, are instrumental in the assessment of genomic consequences of anthropogenic environmental change. Historical samples enable us to document biodiversity loss against the shifting baseline syndrome and advance our understanding of the need for efficient biodiversity conservation on a global scale.

Indexed as

Alpine whitefishanthropogenic environmental changegenomic diversity decline

Identifiers

PMID38343775
PMCPMC10853656

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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.