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Updated: Dec 19, 2025

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Mutagenesis and Functional Selection Protocols for Directed Evolution of Proteins in E. coli
Published on: March 16, 2011
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Escherichia coli with a Tunable Point Mutation Rate for Evolution Experiments
Nicholas A Sherer1,2, Thomas E Kuhlman3,4
1Department of Physics and.
G3 (Bethesda, Md.)
|June 7, 2020
Summary
Evolutionary mutation rates are influenced by the fitness effects of mutations. Higher mutation rates in E. coli led to more genetic variations, impacting evolution.
Area of Science:
- Evolutionary biology
- Microbial genetics
Background:
- Mutation rates and their fitness effects are fundamental to evolutionary processes.
- Selection acts on mutation rates due to linkage with mutation effects, with direction dependent on the fitness landscape.
- Previous studies using mutator/antimutator strains had limitations in controlling mutation rate variation.
Purpose of the Study:
- To investigate the direct effect of a variable mutation rate on evolution within a single organism and environment.
- To develop a model system for smoothly controlling mutation rates over a significant range.
Main Methods:
- Genetically engineered *Escherichia coli* with inducible control over mismatch repair proteins (MutH and MutL) to vary point mutation rates.
- Conducted an approximately 350-generation evolution experiment with controlled, continuous variation of the mutation rate.
- Confirmed stability of the engineered construct and mutation rate throughout the experiment.
Main Results:
- Demonstrated a stable, inducible system for smoothly varying mutation rates over two orders of magnitude in *E. coli*.
- Observed a higher number of single nucleotide polymorphisms in strains evolved at higher mutation rates.
- These variations are likely attributable to beneficial mutations or linkage of mutations to beneficial alleles.
Conclusions:
- The study provides a novel tool to experimentally manipulate mutation rates and study their evolutionary consequences.
- Higher mutation rates can accelerate the accumulation of genetic variation, potentially driving adaptation.
- Findings highlight the interplay between mutation rate, fitness landscape, and evolutionary trajectories.

