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Selection Limits to Adaptive Walks on Correlated Landscapes
Jorge Pérez Heredia1, Barbora Trubenová2, Dirk Sudholt1
1Department of Computer Science, University of Sheffield, S1 4DP, United Kingdom.
Genetics
|November 25, 2016
Summary
Understanding adaptation requires analyzing new mutations and their genetic background. This study provides a method to estimate adaptation time on fitness landscapes without full knowledge, revealing critical factors for rapid evolution.
Area of Science:
- Evolutionary biology
- Population genetics
- Molecular evolution
Background:
- Adaptation is influenced by mutation effects and genetic background, conceptualized by fitness landscapes.
- Complete fitness landscape analysis is often inaccessible due to combinatorial complexity.
- Understanding adaptation dynamics is crucial for predicting evolutionary trajectories.
Purpose of the Study:
- To develop a method for estimating adaptation time without complete fitness landscape knowledge.
- To analyze conditions enabling rapid adaptation in the weak-mutation regime.
- To investigate the role of selection strength and the number of sites under selection in adaptation.
Main Methods:
- Analysis of populations in the weak-mutation regime.
- Calculation of upper limits for time to reach a fitness peak across general landscape classes.
- Characterization of adaptation speed as a function of the number of selected sites.
Main Results:
- For additive landscapes, a critical selection strength is identified that facilitates reaching high-fitness genotypes, independent of mutation effect distribution.
- This critical strength scales with the number of selected sites, indicating a potential limit to adaptation due to increased deleterious mutation pressure.
- For unimodal landscapes, this critical strength is sufficient but not necessary; highly epistatic landscapes may allow rapid adaptation without this constraint.
Conclusions:
- The study provides a framework to assess adaptation speed by calculating upper bounds on time to fixation.
- A critical selection threshold exists for additive landscapes, limiting adaptation speed based on the number of selected sites.
- Epistasis can alter or remove these adaptation barriers, highlighting the importance of landscape topology in evolutionary dynamics.
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