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Modeling host-parasite coevolution: a nested approach based on mechanistic models.

Michael A Gilchrist1, Akira Sasaki

  • 1Department of Biology, Duke University, Durham, NC, 27708-0325, USA. mikeg@lanl.gov

Journal of Theoretical Biology
|October 17, 2002
PubMed
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This study presents a novel nested modeling framework for host-parasite coevolution. This approach reveals stable coevolutionary equilibria and highlights how immune response costs impact host survivorship and parasite fitness.

Area of Science:

  • Ecology
  • Evolutionary Biology
  • Mathematical Biology

Background:

  • Host-parasite interactions are central to evolutionary dynamics.
  • Previous models often imposed life-history trade-offs rather than deriving them from biological mechanisms.
  • Understanding coevolutionary dynamics requires integrating within-host and population-level processes.

Purpose of the Study:

  • To introduce a mechanistic framework for modeling host-parasite coevolution using a nested modeling approach.
  • To derive fitness functions from mechanistic within-host parasite dynamics.
  • To analyze coevolutionary dynamics by linking within-host and epidemiological models.

Main Methods:

  • Developed a nested modeling approach combining within-host parasite dynamics and epidemiological models.

Related Experiment Videos

  • Mechanistically modeled parasite population dynamics within a host.
  • Derived host and parasite fitness functions from epidemiological parameters linked to within-host dynamics.

    • Main Results:

    • The nested framework allows for the evaluation of fitness functions and determination of coevolutionary dynamics.
    • Demonstrated that mechanistic descriptions of biology can derive life-history trade-offs.
    • In a simple host-parasite system, the coevolutionary equilibrium was found to be always stable.

    Conclusions:

    • The nested modeling approach provides a robust framework for studying host-parasite coevolution.
    • Host survivorship and parasite fitness are sensitive to the cost of the immune response and parasite growth.
    • This mechanistic approach offers a more biologically realistic way to study coevolutionary processes.