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Measuring Microbial Mutation Rates with the Fluctuation Assay
Published on: November 28, 2019
Establishment of new mutations in changing environments.
Stephan Peischl1, Mark Kirkpatrick
1Section of Integrative Biology, University of Texas, Austin, TX 78712, USA. stephan.peischl@iee.unibe.ch
Genetics
|May 1, 2012
Summary
This study models how new beneficial mutations establish in changing environments. It provides a generalized formula for mutation establishment probability under varying selection pressures, crucial for evolutionary genetics research.
Area of Science:
- Evolutionary genetics
- Population genetics
- Mathematical biology
Background:
- Understanding adaptation is key in evolutionary genetics, particularly with ongoing environmental and climatic changes.
- The establishment of new beneficial mutations is a fundamental process in adaptation.
Purpose of the Study:
- To develop a generalized method for calculating the probability of new beneficial mutations establishing in changing environments.
- To extend classical models of mutation fixation to scenarios with time-varying selection coefficients.
Main Methods:
- Utilized time-dependent branching processes to approximate mutation establishment probability.
- Assumed small temporal changes in offspring distribution for simplification.
- Generalized Haldane's classic fixation probability result for constant environments.
Main Results:
- Derived simple approximations for establishment probability under temporally changing selection.
- Showed that under weak selection, establishment probability depends on a weighted average of selection coefficients.
- Weights indicate the contribution of different generations to the establishment probability.
Conclusions:
- The derived approximation accurately predicts mutation establishment probability across various temporal changes in selection.
- The findings offer a generalized framework for studying adaptation in dynamic environments.
- Applicable to scenarios with consistent, periodic, or random changes in selection and population size.
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