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Multilocus genetics and the coevolution of quantitative traits.

Michael Kopp1, Sergey Gavrilets

  • 1Department of Ecology and Evolutionary Biology, University of Tennessee, 1416 Circle Drive, Knoxville, Tennessee 37996, USA. kopp@zi.biologie.uni-muenchen.de

Evolution; International Journal of Organic Evolution
|August 26, 2006
PubMed
Summary

This study introduces a genetic model of species interactions, revealing that mutualisms and competition lead to stable coevolution. Victim-exploiter dynamics can become complex, including cycles and chaos, with unique genetic patterns at equilibrium.

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Area of Science:

  • Evolutionary Biology
  • Quantitative Genetics
  • Population Genetics

Background:

  • Coevolutionary dynamics are crucial for understanding species interactions.
  • Previous models often simplify genetic architectures, limiting insights into complex evolutionary processes.

Purpose of the Study:

  • To develop and analyze an explicit multilocus genetic model of coevolution.
  • To investigate how different interaction types (mutualism, competition, victim-exploiter) influence evolutionary trajectories.
  • To explore the impact of multilocus genetic architecture on coevolutionary stability and dynamics.

Main Methods:

  • Developed an explicit multilocus genetic model incorporating additive quantitative traits and stabilizing selection.
  • Employed weak-selection approximation for analytical solutions in symmetric cases.

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  • Utilized numerical simulations to analyze more general scenarios and complex dynamics.

    • Main Results:

    • Mutualistic and competitive interactions consistently lead to stable coevolutionary equilibria with limited genetic polymorphism.
    • Victim-exploiter interactions can exhibit diverse dynamics, including stable equilibria, cyclical patterns, and chaos.
    • Multilocus models reveal more complex equilibrium structures and the possibility of multiple stable states compared to simpler models.
    • Dynamic changes in genetic variance significantly impact trait evolution, with increased loci potentially destabilizing dynamics.

    Conclusions:

    • Multilocus genetic architecture introduces significant complexity into coevolutionary dynamics, particularly for victim-exploiter systems.
    • The number of loci and their interactions critically influence the stability and predictability of evolutionary outcomes.
    • This model provides a more nuanced understanding of how genetic variation shapes interspecific coevolution.