The impact of within-host interactions and priority effects on disease dynamics in coinfected populations

dc.contributor.advisorRudolf, Volker H.W.en_US
dc.creatorClay, Patrick Aen_US
dc.date.accessioned2019-05-16T19:08:56Zen_US
dc.date.available2019-05-16T19:08:56Zen_US
dc.date.created2019-05en_US
dc.date.issued2019-03-21en_US
dc.date.submittedMay 2019en_US
dc.date.updated2019-05-16T19:08:56Zen_US
dc.description.abstractMultiple parasite strains and species generally coinfect host populations. These coinfections matter because parasites interact within shared hosts. For instance- parasites can compete for shared resources, interfere with one another directly, or trigger apparent competition through the immune system. These interactions alter parasite fitness within hosts, and in doing so, scale up to alter disease patterns such as epidemic severity. However, within-host interactions are highly context-dependent. Specifically, the timing and order of infections in coinfected hosts can determine the strength of within-host interactions and whether they are positive or negative. Thus, we ask how these within-host priority effects scale up to alter disease patterns such as parasite coexistence, parasite prevalence, and our ability to predict epidemic severity. We answer these questions by measuring within-host priority effects in a coinfected zooplankton system, using those measurements to parameterize mechanistic epidemic models, and comparing model predictions to experimental multi-pathogen epidemics. We first found that within-host priority effect can foster or prevent coexistence, depending on whether parasites have a higher fitness when arriving first or second in coinfected hosts (Chapter 1). In Chapter 2, we showed that parasite prevalence relationships (the change in the prevalence of a parasite in response to changing prevalence of coinfecting parasites) are monotonically positive or negative in the absence of within-host priority effects, but humped or u-shaped if within-host priority effects are present. The results of the first two chapters are largely driven by priority effect mediated frequency dependence. In chapter 3, we demonstrated that measuring within-host priority effects vastly improves our ability to predict the severity of multi-pathogen epidemics. Finally, in chapter four, we demonstrate that a variety of within-host interactions alter parasite evolution by changing the prevalence of coinfection in a host population. Ultimately, this research identifies novel ways in which within-host pathogen dynamics scale up to alter disease patterns at the host-population scale, and will help us predict and respond to the spread of pathogens in coinfected systems.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationClay, Patrick A. "The impact of within-host interactions and priority effects on disease dynamics in coinfected populations." (2019) Diss., Rice University. <a href="https://hdl.handle.net/1911/105401">https://hdl.handle.net/1911/105401</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/105401en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectCoinfectionen_US
dc.subjectpriority effectsen_US
dc.subjectsequential infectionen_US
dc.subjectcoexistenceen_US
dc.subjectepidemic predictionen_US
dc.subjectvirulence evolutionen_US
dc.titleThe impact of within-host interactions and priority effects on disease dynamics in coinfected populationsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentEcology and Evolutionary Biologyen_US
thesis.degree.disciplineNatural Sciencesen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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