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Updated: May 11, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay
Published on: November 28, 2019
Genomic mutation rates that neutralize adaptive evolution and natural selection
Philip J Gerrish1, Alexandre Colato, Paul D Sniegowski
1Department of Biology, Center for Evolutionary and Theoretical Immunology, University of New Mexico, 230 Castetter Hall, MSC03-2020, Albuquerque, NM 87131, USA. pgerrish@unm.edu
High mutation rates can hinder evolution by overwhelming natural selection with harmful mutations. This can neutralize adaptive evolution or cause beneficial mutations to be lost, slowing down or reversing adaptation.
Area of Science:
- Evolutionary biology
- Population genetics
- Theoretical biology
Background:
- Natural selection drives adaptation by favoring beneficial mutations.
- Mutation rate is a critical factor influencing evolutionary trajectories.
- Excessive mutation can introduce deleterious mutations, potentially counteracting selection.
Purpose of the Study:
- To mathematically define the mutation rates at which adaptive evolution or natural selection becomes neutralized.
- To analyze the impact of varying mutation rates on evolutionary outcomes in asexual populations.
- To provide simple expressions for identifying critical mutation rate thresholds.
Main Methods:
- Application of a standard mathematical model for asexual adaptive evolution.
- Derivation of expressions to delineate mutation rates causing neutralization of selection or adaptation.
- Analysis of theoretical conditions for evolutionary stasis or decline due to high mutation.
Main Results:
- Identified specific mutation rate thresholds where adaptive evolution can be neutralized.
- Demonstrated conditions where natural selection is overwhelmed by deleterious mutations.
- Derived simple mathematical expressions, independent of organism-specific parameters, for these thresholds.
Conclusions:
- Mutation rates critically influence the efficacy of natural selection and the rate of adaptation.
- Extremely high mutation rates can lead to a breakdown of adaptive evolution.
- The derived expressions offer a general framework for understanding mutation-driven evolutionary limits.
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