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Related Experiment Videos

Polygenic traits and parasite local adaptation.

Benjamin J Ridenhour1, Scott L Nuismer

  • 1Department of Biological Sciences, University of Idaho, Moscow, Idaho 83844, USA. bridenho@uidaho.edu

Evolution; International Journal of Organic Evolution
|March 14, 2007
PubMed
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Parasite local adaptation is uncommon under quantitative genetics, contrary to the geographic mosaic theory

Area of Science:

  • Evolutionary Biology
  • Coevolutionary Dynamics
  • Quantitative Genetics

Background:

  • The geographic mosaic theory of coevolution predicts widespread local maladaptation due to gene flow and variable selection.
  • Previous research focused on major gene systems, potentially limiting the theory's applicability.
  • Understanding host-parasite coevolution is crucial for human health and agriculture.

Purpose of the Study:

  • To extend the geographic mosaic theory to host-parasite interactions involving quantitative resistance traits.
  • To investigate the frequency and drivers of parasite local maladaptation under polygenic inheritance.
  • To refine predictions regarding local adaptation studies in natural environments.

Main Methods:

  • Mathematical modeling of host-parasite interactions.

Related Experiment Videos

  • Analysis of quantitative traits with an additive polygenic basis for host resistance.
  • Comparison with previous models based on major gene mechanisms.

    • Main Results:

    • Parasite local maladaptation is uncommon, occurring only under a specific host resistance functional form.
    • Results contrast sharply with predictions from major gene-based models.
    • Local maladaptation is predicted to be rare or absent in reciprocal transplant studies.

    Conclusions:

    • The geographic mosaic theory's predictions for local maladaptation may be more restricted than previously thought.
    • Quantitative genetic underpinnings of resistance influence coevolutionary outcomes.
    • Novel, testable predictions are provided for identifying conditions favoring local maladaptation.