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The probability of parallel genetic evolution from standing genetic variation
A MacPherson1,2, S L Nuismer1,3
1Program of Bioinformatics and Computational Biology, University of Idaho, Moscow, ID, USA.
Journal of Evolutionary Biology
|November 2, 2016
Summary
Parallel genetic evolution is more likely with strong natural selection and large genetic effects. New methods can distinguish adaptive evolution from random genetic drift, but require more data.
Area of Science:
- Evolutionary biology
- Genetics
Background:
- Parallel evolution is often attributed to adaptation in similar environments.
- Standing genetic variation plays a key role in evolutionary trajectories.
Purpose of the Study:
- To model the probability of parallel genetic evolution from standing variation.
- To develop a Bayesian framework for estimating parallel phenotypic selection.
- To assess the robustness of the proposed estimation method.
Main Methods:
- Mathematical modeling of parallel genetic evolution.
- Bayesian inference framework development.
- Individual-based simulations for estimator validation.
Main Results:
- Parallel evolution probability increases with selection strength and population size.
- Genes with large phenotypic effects are more prone to parallel evolution.
- The Bayesian estimator is robust across diverse evolutionary scenarios.
Conclusions:
- Existing studies may lack sufficient data to differentiate adaptive from neutral evolution.
- More population sampling and loci are needed to rigorously test adaptive evolution hypotheses.
- The developed framework offers a robust tool for studying parallel phenotypic selection.
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