Data from: Coinfection timing drives host population dynamics through changes in virulence
Marchetto, Katherine M.; Power, Alison G. (2017), Data from: Coinfection timing drives host population dynamics through changes in virulence, Dryad, Dataset, https://doi.org/10.5061/dryad.gj4rp
Infections of one host by multiple parasites are common, and several studies have found that the order of parasite invasion can affect both within-host competition and disease severity. However, it is unclear to what extent coinfection timing might be important to consider when modeling parasite impacts on host populations. Using a model system of two viruses infecting barley, we found that simultaneous infections of the two viruses were significantly more damaging to hosts than sequential coinfections. While priority effects were evident in within-host concentrations of sequential coinfections, priority did not influence any parameters, such as virulence or transmission rate, that affect host population dynamics. We built a susceptible-infected model to examine whether the observed difference in coinfection virulence could impact host population dynamics under a range of scenarios. We found that coinfection timing can have an important, but context dependent, effect on projected host population dynamics. Studies that examine only simultaneous coinfections could inflate disease impact predictions.
National Science Foundation, Award: DEB-1015903