From epigenetic landscape to phenotypic fitness landscape: Evolutionary effect of pathogens on host traits

Infect Genet Evol. 2017 Jul:51:245-254. doi: 10.1016/j.meegid.2017.04.006. Epub 2017 Apr 10.

Abstract

The epigenetic landscape illustrates how cells differentiate through the control of gene regulatory networks. Numerous studies have investigated epigenetic gene regulation but there are limited studies on how the epigenetic landscape and the presence of pathogens influence the evolution of host traits. Here, we formulate a multistable decision-switch model involving several phenotypes with the antagonistic influence of parasitism. As expected, pathogens can drive dominant (common) phenotypes to become inferior through negative frequency-dependent selection. Furthermore, novel predictions of our model show that parasitism can steer the dynamics of phenotype specification from multistable equilibrium convergence to oscillations. This oscillatory behavior could explain pathogen-mediated epimutations and excessive phenotypic plasticity. The Red Queen dynamics also occur in certain parameter space of the model, which demonstrates winnerless cyclic phenotype-switching in hosts and in pathogens. The results of our simulations elucidate the association between the epigenetic and phenotypic fitness landscapes and how parasitism facilitates non-genetic phenotypic diversity.

Keywords: Biodiversity; Disease; Inclusive inheritance; Mathematical model; Parasitism; Red Queen.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biological Evolution
  • Cell Lineage
  • Computer Simulation
  • Epigenesis, Genetic*
  • Eukaryotic Cells / metabolism
  • Eukaryotic Cells / parasitology*
  • Gene Regulatory Networks*
  • Host-Parasite Interactions*
  • Models, Genetic*
  • Phenotype*
  • Quantitative Trait, Heritable
  • Selection, Genetic