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Updated: Jun 14, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Evolution of GC-biased gene conversion by natural selection.
Augustin Clessin1, Julien Joseph1, Nicolas Lartillot1
1Laboratoire de Biométrie et Biologie Evolutive, Universite Claude Bernard Lyon 1, UMR 5558, CNRS VAS, Villeurbanne F-69622, France.
GC-biased gene conversion (gBGC) influences genome composition and can increase harmful mutations. This study shows gBGC evolves under weak positive selection, not to minimize genetic load, potentially explaining its presence in humans.
Area of Science:
- Evolutionary biology
- Population genetics
- Molecular evolution
Background:
- GC-biased gene conversion (gBGC) drives human genome base composition variation.
- gBGC can lead to a significant burden of deleterious GC alleles.
- The evolutionary origins and interspecies intensity variations of gBGC are poorly understood.
Purpose of the Study:
- Investigate the evolutionary dynamics of gBGC as a quantitative trait.
- Determine the role of mutation, drift, and natural selection on gBGC evolution.
- Clarify why gBGC persists and varies across species, particularly in humans.
Main Methods:
- Simulations of evolutionary processes.
- Semi-analytical approximations.
- Modeling gBGC as a trait under mutation, drift, and selection.
Main Results:
- In finite populations with deleterious mutations, gBGC is under weak stabilizing selection.
- Evolved gBGC levels depend on mutational bias and genomic selective constraints.
- Selected gBGC levels do not minimize but can increase genetic load, especially in high recombination regions.
Conclusions:
- The observed levels of gBGC in humans may have been positively selected.
- Natural selection on gBGC does not optimize for minimal genetic load.
- gBGC's persistence may be due to weak positive selection despite potential fitness costs.
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