| dc.description.abstract | Virus host shifts are a major source of outbreaks and emerging infectious diseases, and continue to cause considerable damage to public health, society, and the global economy. Predicting and preventing future virus host shifts has become a primary goal of infectious disease research, and multiple tools and approaches are being developed to work towards this goal. In this thesis, I examine three key aspects of infection that have implications for our wider understanding of virus host shifts and their predictability in natural systems: whether the outcome of infections across species is correlated between related viruses, whether the presence of a coinfecting virus can alter the outcomes of cross-species transmission, and the influence of host genetics and immunity on the outcomes of coinfection. These experiments make use of a large and evolutionarily diverse panel of Drosphilidae host species, and infections with two insect Cripaviruses: Drosophila C virus (DCV) and Cricket Paralysis virus (CrPV), with the outcomes of infection quantified throughout as viral loads via qRT-PCR.
In Chapter Two, phylogenetic generalised linear mixed models are applied to data on the outcome of single infections with three isolates of DCV (DCV-C, DCV-EB, DCV-M) and one isolate of CrPV, to look for correlations in viral load across host species. Strong positive corrections were found between DCV isolates and weaker positive correlations between DCV and CrPV, with evidence of host species by virus interactions on the outcome of infection. Of the four viruses tested, the most closely related isolates tended to be the most strongly correlated, with correlation strength deteriorating with the evolutionary distance between isolates, although we lacked the diversity or sample size of viruses to properly determine any effect of evolutionary distance on correlation strength. Together, this suggests that hosts susceptible to one virus are also susceptible to closely related viruses, and that knowledge of one virus may be extrapolated to closely related viruses, at least within the range of evolutionary divergence tested here.
In the remainder of this thesis, I examine the outcome of coinfection with DCV-C and CrPV across host species (Chapter Three) and across genotypes and immune mutants of Drosophila melanogaster (Chapter Four). These chapters aim to assess the potential for coinfection to alter the outcomes of cross-species transmission – and so interfere with predictions of virus host shifts – and the potential influence of host genetics and immunity on the outcome of coinfection. Chapter Three finds little evidence of systematic changes in the outcome of single and coinfection for both viruses across species, suggesting that coinfection may not be a required consideration in predictive models of every host-virus system. Effects of coinfection were found in a subset of species but were not recapitulated in a follow-up experiment looking at tissue tropism during coinfection on a subset of host species. Together, this suggests that any effects of coinfection across species with DCV and CrPV are due to stochastic effects within individual hosts. Chapter Four finds small but credible effects of coinfection across genotypes of D. melanogaster, but these effects showed little host genetic basis or effect on the genetic basis of susceptibility to each virus separately. Mutations in several immune genes caused virus-specific changes in viral load between single and coinfection, suggesting that coinfection interactions between viruses can be moderated by the host immune response.
This thesis has aimed to explore several fundamental features of cross-species transmission that are relevant to our understanding – and ability to predict – virus host shifts. Both the finding that correlations exist between viruses and the approach used to characterise coinfection across and within host species would now benefit from an increased diversity of experimental pathogens, to better investigate the influence of virus evolutionary relationships on the outcomes of virus host shifts and present a broader understanding of the potential impact of coinfection on the outcomes of cross-species transmission. | en_GB |
