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Related Experiment Videos

Coevolution in structured demes.

M Slatkin, D S Wilson

    Proceedings of the National Academy of Sciences of the United States of America
    |April 1, 1979
    PubMed
    Summary
    This summary is machine-generated.

    Coevolutionary relationships can arise in subdivided populations through sampling variation and indirect effects, not just direct competition or predation. This highlights diverse mechanisms driving species interactions and adaptation.

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    Area of Science:

    • Evolutionary biology
    • Population genetics
    • Ecological dynamics

    Background:

    • Coevolutionary dynamics are typically studied assuming direct interactions like competition and predation.
    • Subdivided populations introduce complexities through local variations and dispersal.
    • Understanding the drivers of coevolution in structured populations is crucial for ecological theory.

    Purpose of the Study:

    • To investigate a simple model of coevolution within a subdivided population.
    • To explore how local interactions and sampling variation influence coevolutionary processes.
    • To identify alternative mechanisms driving coevolved relationships between species.

    Main Methods:

    • Development of a simple mathematical model for coevolution.

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  • Analysis of frequency- and density-dependent interactions within local sites.
  • Incorporation of sampling variation in population numbers at each site.
  • Examination of selection pressures arising from dispersal and indirect effects.

    • Main Results:

    • Sampling variation in local population sizes can drive selection.
    • Selection occurs through both dispersal processes and indirect ecological effects.
    • Coevolved relationships can emerge from interactions beyond direct competition and predation.
    • The model demonstrates that indirect interactions can be significant drivers of coevolution.

    Conclusions:

    • Coevolution in subdivided populations is influenced by sampling variation and indirect effects.
    • Direct interactions are not the sole drivers of coevolutionary relationships.
    • Ecological and genetic drift mechanisms interact to shape coevolutionary trajectories.
    • This model provides a broader perspective on the origins of species interactions.