Abstract

Most parasites and pathogens infect multiple hosts, but a great deal of variation exists in the role of those hosts in persistence of infection. Understanding which hosts are most important in maintaining parasites can provide a clearer target for infection control. Recently developed empirical and theoretical approaches provide a way to quantify the relative contribution of hosts within a community and place them in a multi-host framework to better direct control efforts. Amphibians provide a framework for better understanding multi-host-multi-parasite dynamics. Two well-studied amphibian parasites, Batrachochytrium dendrobatidis (Bd) and Ranavirus, infect multiple host species and exhibit a great deal of heterogeneity in how they affect hosts. We used these two parasites and a community of five amphibian species to investigate the relative importance of hosts in parasite persistence, and how any patterns varied spatially and temporally. At two sites (Lake Ercina and Lake Lloroza in the Picos de Europa National Park, Spain) we collected data on the prevalence and shedding rate of parasite infection for both Bd and Ranavirus, and the abundance of each species' life stages. We used these data to parameterize a recently developed modeling framework, which was used to quantify the relative contribution of each host to the community reproductive number, R0 . By comparing each host-category over time and between sites we were able to identify consistencies in which host was responsible for the maintenance of these two parasites. Within a site one species consistently contributed the most to the persistence of both parasites. This consistency did not transfer between sites, the maintenance host species being different for each. At one site (Ercina), life stages of the common midwife toad, Alytes obstetricans, acted as the maintenance host for both Bd and Ranavirus. In contrast, at the second site, Lloroza, the alpine newt, Ichthyosaura alpestris, fulfilled that role. A single host species was responsible for infection persistence of both parasites at each lake. Attempts to control the infection levels and impacts of multiple parasites can benefit from a community epidemiology approach, and provide clarity on which hosts are the foci of mitigation efforts. However, at a small spatial scale, the target host may vary according to the physical qualities of those sites and the demographics of the host community.

Highlights

  • Understanding of multi-host, multi-pathogen systems has greatly increased in recent years, but there remains a lack of information on how parasites are maintained within a community of hosts and, perhaps most importantly, how to identify which species drive transmission within a community (Rudge et al 2013)

  • Because of the highly seasonal nature of infection dynamics at our study site, at different times of the year the prevalence of infection within a given host-category may vary. For this reason we have focused our analysis and discussion mainly on the two time points of the year at which amphibian densities and infection levels are most likely to be stable; these time points would be at the beginning of the amphibian activity cycle, before an influx of susceptible individuals enters the population via reproduction, and at the end of the year when any individuals samples have had a full cycle of activity to become infected

  • The lower limit of the R0 estimate confidence intervals were greater than 1.0, suggesting the identity of the hosts with the highest R0 estimates are robust to changes in inter-species transmission rates. These results suggest that when the system is most likely to be at equilibrium levels of infection, a single species is the key host in maintaining infection within the two communities, but that the key species within each community differs

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Summary

Introduction

Understanding of multi-host, multi-pathogen systems has greatly increased in recent years, but there remains a lack of information on how parasites are maintained within a community of hosts and, perhaps most importantly, how to identify which species drive transmission within a community (Rudge et al 2013).

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