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Related Experiment Video

Updated: Oct 11, 2025

Measuring Microbial Mutation Rates with the Fluctuation Assay

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

Intraspecific Variation in the Rates of Mutations Causing Structural Variation in Daphnia magna.

Eddie K H Ho¹, Sarah Schaack¹

¹Department of Biology, Reed College, Portland, Oregon, USA.

Genome Biology and Evolution

|December 1, 2021

Summary

This summary is machine-generated.

Structural variation-causing mutation rates (svcMRs) are high and highly variable across populations. These mutation rates are uncorrelated across different mutation types, challenging current evolutionary theories.

Keywords:

Daphnia Cladocera copy number variable deletion duplication insertion mutation accumulation waterflea

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Last Updated: Oct 11, 2025

Measuring Microbial Mutation Rates with the Fluctuation Assay

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Published on: November 28, 2019

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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Area of Science:

Evolutionary biology
Genetics
Genomics

Background:

Structural variation-causing mutations (svcMRs) are key drivers of genetic diversity but are challenging to quantify.
Limited direct estimates of svcMRs hinder understanding of mutation rate evolution and variation.

Discussion:

This study quantifies svcMRs for six mutation categories in Daphnia magna across diverse populations.
High svcMRs, two orders of magnitude greater than base substitution rates, were observed.
Mutation rates varied significantly among populations and were uncorrelated across mutation types.

Key Insights:

svcMRs are unexpectedly high and exhibit substantial inter-population variability.
The lack of correlation across mutation categories challenges existing models of mutation rate evolution.
Mutations do not appear to favor genic regions disproportionately.

Outlook:

Further research requires more mutation rate estimates across diverse genotypes, mutation types, and species.
These findings necessitate revisions to prevailing theories on the evolution of mutation rates.
Understanding mutation rate variation is crucial for evolutionary and genomic studies.