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Related Experiment Video

Updated: Jun 9, 2026

Measuring Microbial Mutation Rates with the Fluctuation Assay

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

An evolutionary reduction principle for mutation rates at multiple Loci.

Lee Altenberg¹

¹University of Hawai'i at Manoa, Honolulu, USA. altenber@hawaii.edu

Bulletin of Mathematical Biology

|August 26, 2010

Summary

This summary is machine-generated.

This study models mutation rate evolution across multiple genetic loci, revealing that new mutation rates persist only if they fall below a specific neutral surface. This finding generalizes previous work on recombination modifiers.

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Published on: August 3, 2018

Area of Science:

Evolutionary Biology
Population Genetics
Theoretical Biology

Background:

Previous models of mutation rate evolution were constrained by weak selection assumptions.
Understanding mutation rate evolution is crucial for comprehending genome evolution and adaptation.

Purpose of the Study:

To analyze a model of mutation rate evolution for multiple genetic loci under arbitrary selection.
To overcome limitations of weak selection constraints in prior multilocus models.

Main Methods:

Utilized techniques from Karlin (1982) for analyzing multilocus event models.
Developed a multivariate reduction principle for mutation rate alterations.

Main Results:

A generalized reduction principle was identified: new mutation rates are neutral if they fall below a calculated surface.
Mutation rate increases at some loci can be offset by decreases at others.
Selection strength on mutation rate modifiers scales with germline cell divisions and the number of affected loci.

Conclusions:

Loci not affecting marginal fitnesses are not subject to the reduction principle and may evolve higher mutation rates.
Average transmission rates sufficiently capture the impact of modifier polymorphisms.
Departures from the reduction principle may occur in scenarios involving both recombination and mutation.