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Updated: May 14, 2026

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Models of compensatory molecular evolution: effects of back mutation
Motoshi Ichinose1, Masaru Iizuka, Junko Kusumi
1Department of Contemporary Liberal Arts, Junior College, Chikushi Jogakuen University, 2-12-1 Ishizaka, Dazaifu 818-0192, Japan.
Compensatory mutations can be harmful alone but harmless together. This study finds that back mutations have minimal impact on the rate of compensatory molecular evolution and estimates selection parameters for RNA molecules.
Area of Science:
- Molecular evolution
- Population genetics
- Bioinformatics
Background:
- Compensatory mutations arise when individually deleterious mutations become harmless in specific combinations.
- Understanding the evolutionary dynamics of these mutations is crucial for predicting molecular evolution.
- Back mutations can potentially influence the trajectory of compensatory evolution.
Purpose of the Study:
- To investigate the impact of back mutations on the rate of compensatory molecular evolution.
- To estimate selection parameters for deleterious single mutants in models with and without back mutation.
- To compare these estimates with existing data from folded RNA sequences.
Main Methods:
- Modeling compensatory molecular evolution under different back mutation scenarios.
- Estimating selection coefficients for deleterious mutants using sequence data.
- Analyzing sequence data from folded RNA molecules.
Main Results:
- The rate of compensatory molecular evolution is shown to be weakly affected by back mutations.
- Selection parameters for deleterious single mutants were estimated for models with and without back mutation.
- Estimated values were compared, providing insights into the robustness of evolutionary models.
Conclusions:
- Back mutations play a minor role in the overall rate of compensatory molecular evolution.
- The study provides quantitative estimates of selection parameters, refining our understanding of molecular evolution.
- Findings contribute to the accurate modeling of evolutionary processes in biological systems.
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