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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
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Compensatory Evolution Following Deleterious Episodes of GC-biased Gene Conversion in Rodents.
Marie Riffis1, Nathanaëlle Saclier1, Nicolas Galtier1
1ISEM, Univ Montpellier, CNRS, IRD, Montpellier, France.
Molecular Biology and Evolution
|July 9, 2025
Summary
GC-biased gene conversion (gBGC) introduces deleterious mutations in proteins. This study reveals compensatory evolution rapidly repairs this damage, driven by existing genetic variation, highlighting epistasis in protein adaptation.
Area of Science:
- Evolutionary biology
- Molecular evolution
- Genomics
Background:
- GC-biased gene conversion (gBGC) is an evolutionary mechanism linked to meiotic recombination.
- gBGC favors AT to GC substitutions, potentially accumulating deleterious mutations in proteins.
- Recombination hotspots in mammals undergo rapid turnover, leading to episodic gBGC.
Purpose of the Study:
- To investigate the occurrence and impact of compensatory evolution following gBGC episodes in Murinae rodents.
- To quantify the process of repairing deleterious mutations introduced by gBGC.
Main Methods:
- Phylogenetic analyses of approximately 70,000 coding exons in Murinae rodents.
- Identification of lineage-specific gBGC episodes by analyzing synonymous and nonsynonymous substitution patterns.
- Analysis of molecular evolution in downstream lineages to detect compensatory changes.
Main Results:
- Identified numerous exon-specific and lineage-specific gBGC episodes.
- Observed increased rates of potentially deleterious nonsynonymous AT to GC substitutions during gBGC.
- Found pervasive evidence of rapid compensatory evolution after gBGC episodes, driven by standing genetic variation.
Conclusions:
- gBGC significantly impacts amino acid sequence evolution.
- Compensatory evolution plays a crucial role in repairing gBGC-induced damage.
- Epistasis is key in protein adaptation, with beneficial mutations arising from various evolutionary processes.
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