Evidence map›Paper›PMID 40510024›Full record

ArticleGenetics2025

Evolution of GC-biased gene conversion by natural selection.

Augustin Clessin, Julien Joseph, Nicolas Lartillot

Abstract read
In one paragraph

Article in Genetics, 2025. 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

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

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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

3 citing papers in PubMed.

  1. Why recombination hotspots?PLoS genetics · 2026
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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

3 authors.

Augustin ClessinLaboratoire de Biométrie et Biologie Evolutive, Universite Claude Bernard Lyon 1, UMR 5558, CNRS VAS, Villeurbanne F-69622, France.ORCID 0000-0003-1430-266X
Julien JosephLaboratoire de Biométrie et Biologie Evolutive, Universite Claude Bernard Lyon 1, UMR 5558, CNRS VAS, Villeurbanne F-69622, France.ORCID 0009-0002-1312-9930
Nicolas LartillotLaboratoire de Biométrie et Biologie Evolutive, Universite Claude Bernard Lyon 1, UMR 5558, CNRS VAS, Villeurbanne F-69622, France.ORCID 0000-0002-9973-7760

Funding

Agence Nationale de la Recherche ANR-19-CE12-0019/HotRec
6 · The paper itself

Abstract

GC-biased gene conversion is a recombination-associated evolutionary process that biases the segregation ratio of AT:GC polymorphisms in the gametes of heterozygotes, in favor of GC alleles. This process is the major determinant of the variation in base composition across the human genome and can be the cause of a substantial burden of deleterious GC alleles. While the importance of GC-biased gene conversion in molecular evolution is increasingly recognized, the reasons for its existence and its variation in intensity between species remain largely unknown. Using simulations and semi-analytical approximations, we investigated the evolution of GC-biased gene conversion as a quantitative trait evolving by mutation, drift, and natural selection. We show that in a finite population in which most mutations are deleterious, GC-biased gene conversion is under weak stabilizing selection around a positive value that mainly depends on the intensity of the mutational bias and on the selective constraints exerted on the genome. Importantly, the levels of GC-biased gene conversion that evolve by natural selection do not minimize the load in the population and even increase it substantially in regions of high recombination rate. Therefore, even if they reduce the fitness of the population, the levels of GC-biased gene conversion currently observed in humans may, in fact, have been (weakly) positively selected.

Indexed as

Evolution, MolecularGene ConversionSelection, GeneticBase CompositionHumansModels, GeneticMutationRecombination, GeneticgBGCgenetic loadmodifiermutation biasnatural selectionrecombination

Identifiers

PMID40510024
PMCPMC12341927

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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.