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Types of Selection01:46

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Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
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On selection in finite populations.

Chai Molina1, David J D Earn2

  • 1Department of Mathematics and Statistics, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4K1, Canada. chai.molina@gmail.com.

Journal of Mathematical Biology
|July 1, 2017
PubMed
Summary
This summary is machine-generated.

Evolutionary drift and selection are key forces. New models generalize standard Wright-Fisher and Moran processes, allowing for robust predictions of evolutionary stability independent of specific selection details.

Keywords:
DriftEvolutionary robustnessEvolutionary stabilityFixationSelection

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Area of Science:

  • Evolutionary Biology
  • Population Genetics

Background:

  • Drift and selection are fundamental evolutionary forces.
  • Standard models like Wright-Fisher (WF) and Moran processes have limitations in practical applications.
  • Generalized drift models can produce different predictions, impacting evolutionary outcomes.

Purpose of the Study:

  • To develop a generalized framework for drift and selection models in finite populations.
  • To derive conditions for evolutionary stability independent of specific selection process details.
  • To enable rigorous inferences about trait fixation even when selection mechanisms are not fully known.

Main Methods:

  • Distilling selection into a broad class of finite-population, mutationless drift-selection models.
  • Characterizing conditions under which selection favors one strategy's fixation over another.
  • Deriving evolutionary stability conditions based on fixation probabilities.

Main Results:

  • Developed a generalized framework applicable to various drift-selection models, including WF and Moran.
  • Established selection-independent conditions for evolutionary stability in finite populations.
  • Demonstrated that fixation probabilities offer a robust basis for analyzing evolutionary stability.

Conclusions:

  • The generalized framework provides a powerful tool for analyzing evolution in finite populations.
  • Rigorous inferences about trait fixation are possible despite uncertainties in specific selection processes.
  • This work advances the understanding of evolutionary stability and trait fixation dynamics.