Host mating system and the prevalence of disease in a plant population

Jennifer M. Koslow, Donald L. DeAngelis

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


A modified susceptible-infected-recovered (SIR) host-pathogen model is used to determine the influence of plant mating system on the outcome of a host-pathogen interaction. Unlike previous models describing how interactions between mating system and pathogen infection affect individual fitness, this model considers the potential consequences of varying mating systems on the prevalence of resistance alleles and disease within the population. If a single allele for disease resistance is sufficient to confer complete resistance in an individual and if both homozygote and heterozygote resistant individuals have the same mean birth and death rates, then, for any parameter set, the selling rate does not affect the proportions of resistant, susceptible or infected individuals at equilibrium. If homozygote and heterozygote individual birth rates differ, however, the mating system can make a difference in these proportions. In that case, depending on other parameters, increased selling can either increase or decrease the rate of infection in the population. Results from this model also predict higher frequencies of resistance alleles in predominantly selfing compared to predominantly outcrossing populations for most model conditions. In populations that have higher selfing rates, the resistance alleles are concentrated in homozygotes, whereas in more outcrossing populations, there are more resistant heterozygotes.

Original languageEnglish (US)
Pages (from-to)1825-1831
Number of pages7
JournalProceedings of the Royal Society B: Biological Sciences
Issue number1595
StatePublished - 2006


  • Disease resistance
  • Inbreeding
  • Mathematical model
  • Pathogen

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)


Dive into the research topics of 'Host mating system and the prevalence of disease in a plant population'. Together they form a unique fingerprint.

Cite this