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Multilocus evolutionarily stable strategy models: additive effects

W G Hines1, M Turelli

  • 1Mathematics and Statistics, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.

Journal of Theoretical Biology
|August 7, 1997
PubMed
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Evolutionarily Stable Strategy (ESS) models align with genetic analyses for frequency-dependent selection when gene effects are additive. This reconciliation addresses concerns about the biological feasibility of ESS predictions in evolutionary biology.

Area of Science:

  • Evolutionary biology
  • Population genetics
  • Game theory

Background:

  • Evolutionarily Stable Strategy (ESS) analyses are widely used in evolutionary biology.
  • A key limitation of ESS is the explicit incorporation of Mendelian genetics.
  • This can lead to biologically unrealistic predictions.

Purpose of the Study:

  • To investigate the agreement between ESS and multilocus genetic analyses.
  • To address concerns regarding the biological feasibility of ESS predictions.
  • To explore a simple model of frequency-dependent selection.

Main Methods:

  • Utilized a simple model of frequency-dependent selection.
  • Assumed completely additive effects of alleles and loci.
  • Compared predictions from ESS and multilocus genetic analyses.

Related Experiment Videos

  • Included a numeric example for illustration.

    • Main Results:

    • ESS and multilocus genetic analyses yield concordant results under specific assumptions.
    • Agreement is achieved when allele and locus effects are completely additive.
    • Demonstrated the compatibility of ESS with Mendelian genetics in this model.

    Conclusions:

    • ESS analyses can be biologically feasible when genetic assumptions are met.
    • The study reconciles game-theoretic approaches with genetic principles.
    • Provides a foundation for more robust evolutionary modeling.