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A baseline model for the apparent competition between many host strains: the evolution of host resistance to

R G Bowers1

  • 1Department of Mathematical Sciences, The University of Liverpool, M&O Building, Liverpool, L69 3BX, U.K. sx04@liv.ac.uk

Insights

This study models host-pathogen competition, revealing a competitive exclusion principle for host resistance. The optimal host strain depends on infection lethality, balancing pathogen invasion and host survival.

Area of Science:

  • Evolutionary biology
  • Mathematical modeling
  • Epidemiology

Background:

  • Understanding host-pathogen dynamics is crucial for predicting disease spread and evolution.
  • Host populations often exhibit genetic diversity, influencing their susceptibility to pathogens.
  • Microparasitic infections present complex evolutionary challenges for host populations.

Purpose of the Study:

  • To establish and analyze a baseline mathematical model for host-pathogen competition.
  • To investigate the interplay between multiple host strains and a uniform microparasitic population.
  • To identify conditions governing pathogen invasion and host resistance evolution.

Main Methods:

  • Formulation and analysis of a mathematical model using invasion criteria.
  • Geometric distinction of pathogen invasion scenarios based on threshold and strain composition.
  • Verification of results using formal mathematical methods in an appendix.

Main Results:

  • A competitive exclusion principle for host resistance emerges when the pathogen persists.
  • For non-lethal infections, the optimal host strain maximizes pathogen threshold density.
  • A generalized criterion for potentially lethal infections is presented, contrasting with uniform host populations.

Conclusions:

  • Host resistance strategies are shaped by the pathogen's invasion capabilities and infection severity.
  • The model highlights a tension between diverse host populations and uniform pathogen behavior.
  • Understanding these evolutionary trade-offs is key to managing infectious diseases.

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