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Fixation probabilities on superstars, revisited and revised
Alastair Jamieson-Lane1, Christoph Hauert1
1Mathematics Department, University of British Columbia, 1984 Mathematics Road, Vancouver BC V6T 1Z2, Canada.
Evolutionary amplifiers, like superstars, enhance natural selection. This study corrects previous findings, confirming superstars effectively suppress random drift, providing strong selective advantages, but are fragile to process changes.
Area of Science:
- Evolutionary biology
- Mathematical modeling
- Graph theory
Background:
- Population structures significantly influence evolutionary dynamics.
- Evolutionary amplifiers, such as superstars, enhance natural selection by suppressing random drift.
- Previous results on superstar amplifiers were recently challenged.
Purpose of the Study:
- To correct invalidated proofs concerning the superstar evolutionary amplifier.
- To derive improved bounds for fixation probability in the Moran process on superstars.
- To investigate the robustness of amplification in superstar structures.
Main Methods:
- Correcting mathematical proofs for the Moran process on graphs.
- Deriving new upper and lower bounds for fixation probability.
- Analyzing the impact of population size (N) and structural parameter (H) on evolutionary amplification.
- Investigating the sensitivity of amplification to selection and mutation processes.
Main Results:
- The fixation probability for superstars approaches 1-1/(r(4)H) as population size (N) and structural parameter (H) approach infinity.
- Superstars effectively eliminate random drift, offering substantial selective advantages for beneficial mutations.
- Amplification in superstars is sensitive to variations in selection and mutation rates.
Conclusions:
- The corrected analysis reaffirms the power of superstars as evolutionary amplifiers.
- Superstars maintain their ability to provide strong selective advantages in large populations and complex structures.
- The phenomenon of evolutionary amplification in superstars is not robust to changes in underlying evolutionary processes.
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