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Molecular evolution and polymorphism in a random environment.

J H Gillespie1

  • 1Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.

Genetics
|November 1, 1979
PubMed
Summary
This summary is machine-generated.

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The SAS-CFF model, simulating multi-allelic selection in random environments, aligns with observed allele frequencies. Its behavior closely resembles neutral models, though it may overestimate polymorphism without environmental autocorrelation.

Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Theoretical Ecology

Background:

  • Electrophoresis provides crucial data on allele frequencies and genetic distances.
  • Understanding multi-allelic selection in random environments is key to evolutionary studies.
  • The SAS-CFF model offers a framework for exploring these dynamics.

Purpose of the Study:

  • To assess the compatibility of the SAS-CFF model with empirical genetic data.
  • To investigate the impact of environmental autocorrelation on model predictions.
  • To compare the transient properties of the SAS-CFF model with neutral evolution.

Main Methods:

  • Analysis of the SAS-CFF model (stochastic, additive, symmetric, correlated-effect, finite-factor).
  • Comparison of model predictions with allele frequency and genetic distance data from electrophoresis.

Related Experiment Videos

  • Approximate analysis of the model's transient behavior.

    • Main Results:

    • The symmetric SAS-CFF model predicts higher polymorphism than observed unless positive environmental autocorrelations are assumed.
    • Empirical allele frequency patterns generally agree with SAS-CFF predictions.
    • The model's transient dynamics are broadly similar to those of neutral models.

    Conclusions:

    • The SAS-CFF model provides a reasonable fit to observed genetic data.
    • Environmental autocorrelation plays a significant role in the model's ability to match polymorphism levels.
    • The SAS-CFF model shares key dynamic features with neutral evolution, suggesting convergent evolutionary processes.