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Clonal interference in large populations.

Su-Chan Park1, Joachim Krug

  • 1Institut für Theoretische Physik, Universität zu Köln, Zülpicher Strasse 77, 50937 Köln, Germany.

Proceedings of the National Academy of Sciences of the United States of America
|November 7, 2007
PubMed
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Clonal interference significantly impacts microbial adaptation. Our study reveals standard theories fail in large populations, where multiple mutations and genetic drift interactions become critical for adaptation dynamics.

Area of Science:

  • Evolutionary Biology
  • Population Genetics
  • Microbial Adaptation

Background:

  • Clonal interference, competition between lineages with different beneficial mutations, affects microbial adaptation tempo and mode.
  • Standard theories often neglect multiple mutations and the interplay between genetic drift and clonal competition, particularly in large populations.

Purpose of the Study:

  • To investigate the rate of adaptation under clonal interference in large populations using the Wright-Fisher model.
  • To analyze the impact of multiple mutations on the substitution process and compare theoretical predictions with simulation results.

Main Methods:

  • Utilized the Wright-Fisher model with multiplicative fitness (no epistasis).
  • Derived asymptotic rates of adaptation for very large population sizes.

Related Experiment Videos

  • Conducted extensive simulations to validate analytic results.

    • Main Results:

    • Demonstrated that standard clonal interference theory fails in the asymptotic limit of very large populations.
    • Explained the accuracy of standard theory for moderately large populations.
    • Showed that allowing multiple mutations qualitatively alters the substitution process, enabling multiple fixes per event.

    Conclusions:

    • The standard theory's limitations in large populations necessitate revised models for microbial adaptation.
    • Multiple mutations can be fixed simultaneously, changing the dynamics of evolutionary substitutions.
    • The index of dispersion for fixation counts exhibits a minimum with population size, and fixation origination becomes regular in very large populations.