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Updated: Feb 24, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
Published on: August 18, 2023
Diminishing-returns epistasis decreases adaptability along an evolutionary trajectory
Andrea Wünsche1, Duy M Dinh1, Rebecca S Satterwhite1
1Department of Biology and Biochemistry, University of Houston, Houston, Texas 77204, USA.
Populations evolving in stable conditions show reduced adaptability. This occurs because beneficial mutations provide smaller advantages as organisms become fitter, driven by negative genetic interactions.
Area of Science:
- Evolutionary biology
- Microbial evolution
- Genetics
Background:
- Adaptability in populations often declines over time in constant environments.
- Understanding this decline is key to predicting evolutionary outcomes.
- Potential causes include changes in mutation effect size or occurrence rate.
Purpose of the Study:
- To investigate the mechanisms behind declining adaptability in evolving populations.
- To determine whether changes in mutation effect size or rate explain this phenomenon.
- To elucidate the role of genetic interactions in adaptive trajectories.
Main Methods:
- Evolving populations of Escherichia coli from various points on a single evolutionary path.
- Analyzing the effect size and occurrence of beneficial mutations.
- Utilizing genome sequencing to identify genetic changes.
- Assessing the impact of genetic background on mutation effects.
Main Results:
- Declining adaptability is primarily caused by a decrease in the effect size of beneficial mutations.
- Negative genetic interactions significantly reduce the benefits of new mutations in fitter genotypes.
- Starting genotype similarity did not correlate with similarity in beneficial mutations acquired.
- Epistasis influences the magnitude of mutation effects more than their identity.
Conclusions:
- The decrease in beneficial mutation effect size, driven by epistasis, is the main driver of declining adaptability.
- Evolutionary trajectories are predictable due to global epistatic effects.
- This provides a general mechanism for predictable phenotypic evolution.
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