Evidence map›Paper›PMID 40468974›Full record

ArticleGenome biology and evolution2025

Evolution of Functional Genomic Diversity During a Bottleneck.

Flávia Schlichta, Stephan Peischl, Laurent Excoffier

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Flávia SchlichtaComputational and Molecular Population Genetics (CMPG), Institute of Ecology and Evolution (IEE), University of Bern, Bern 3012, Switzerland.ORCID 0000-0002-8845-3623
Stephan PeischlSwiss Institute of Bioinformatics, Lausanne 1015, Switzerland.ORCID 0000-0002-0474-6104
Laurent ExcoffierComputational and Molecular Population Genetics (CMPG), Institute of Ecology and Evolution (IEE), University of Bern, Bern 3012, Switzerland.ORCID 0000-0002-7507-6494

Funding

Swiss national Foundation 310030_188883
6 · The paper itself

Abstract

Most species have been through population bottlenecks and range expansions, and the impact of these events on patterns of diversity has been well studied. In particular, it has been shown that initially rare neutral variants could readily fix on the front of range expansions or during bottlenecks, giving genomic signatures looking like selective sweeps. Here we expand on previous work by considering the dynamics of genomic diversity in (functional) regions harboring deleterious variants during bottlenecks or during range expansions modeled as serial founder effects. We find that regions with very low levels of diversity (troughs) looking like selective sweeps can also readily form in these functional regions. Additionally, their properties depend on the dominance level of deleterious mutations. The number of troughs is larger and increases more rapidly in regions with co-dominant deleterious mutations than in regions with recessive mutations. Interestingly, we find that genetic diversity declines less rapidly in regions with partially recessive mutations than in regions with codominant ones or in regions with only neutral mutations. These features are generally enhanced in low recombination regions and for intermediate selection coefficients. If most deleterious mutations in a genome are partially recessive, it follows that functional low recombination regions should better preserve genetic diversity during range expansions than neutral regions of the genome.

Indexed as

Evolution, MolecularGenetic VariationAnimalsFounder EffectGenomeModels, GeneticMutationSelection, Geneticassociative overdominancebackground selectiondominance coefficientpseudo-overdominancerange expansion

Identifiers

PMID40468974
PMCPMC12204323

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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.