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The evolutionary dynamics of selfish replicators: a two-level selection model

B Godelle1, X Reboud

  • 1Université de Paris-Sud XI, URA CNRS 2154, Lab. Evolution et Systématique, Orsay, France.

Journal of Theoretical Biology
|April 7, 1997
PubMed
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Selfish replicators evolve through two selection levels: individual fitness and segregation distortion. Evolutionary cycles or synthetic fitness optimization can occur, with the latter being more common and analogous to resource allocation.

Area of Science:

  • Evolutionary biology
  • Genetics
  • Theoretical biology

Background:

  • Selfish replicators, viewed as alleles with pleiotropic effects, operate within a constant genetic background.
  • These alleles influence individual fitness and possess varying abilities to distort segregation.

Purpose of the Study:

  • To investigate the evolutionary dynamics of selfish replicators.
  • To analyze the impact of inter-individual and intra-individual selection on evolutionary trajectories.
  • To explore the role of parameters like dominance and inbreeding.

Main Methods:

  • Modeling selfish replicators as alleles at a single locus with pleiotropic effects.
  • Incorporating two levels of selection: inter-individual (fitness) and intra-individual (segregation distortion).

Related Experiment Videos

  • Analyzing system behavior under varying parameters including dominance and inbreeding.

    • Main Results:

    • Two distinct evolutionary behaviors were identified: evolutionary cycles and synthetic fitness optimization.
    • Evolutionary cycles involve alternating phases of inter-individual and intra-individual selection.
    • Synthetic fitness, a combination of both selection types, generally increases during evolution and is the more common outcome.

    Conclusions:

    • Synthetic fitness optimization is the most general evolutionary process for selfish replicators.
    • This optimization is analogous to resource allocation in hermaphrodites (female function for fitness, male function for distortion).
    • A two-step process involving sequence increase and fitness decrease may explain some hereditary diseases, but synthetic fitness optimization is generally more probable.