TY - JOUR
T1 - From individual heterogeneity to population-level overdispersion
T2 - quantifying the relative roles of host exposure and parasite establishment in driving aggregated helminth distributions
AU - Warburton, Elizabeth M.
AU - Vonhof, Maarten J.
N1 - Publisher Copyright:
© 2018 Australian Society for Parasitology
PY - 2018/3/1
Y1 - 2018/3/1
N2 - In most host-parasite systems, variation in parasite burden among hosts drives transmission dynamics. Heavily infected individuals introduce disproportionate numbers of infective stages into host populations or surrounding environments, causing sharp increases in frequency of infection. Parasite aggregation within host populations may result from variation among hosts in exposure to infective propagules and probability of subsequent establishment of parasites in the host. This is because individual host heterogeneities contribute to a pattern of parasite overdispersion that emerges at the population level. We quantified relative roles of host exposure and parasite establishment in producing variation in parasite burdens, to predict which hosts are more likely to bear heavy burdens, using big brown bats (Eptesicus fuscus) and their helminths as a model system. We captured bats from seven colonies in Michigan and Indiana, USA, assessed their helminth burdens, and collected data on intrinsic and extrinsic variables related to exposure, establishment, or both. Digenetic trematodes had the highest prevalence and mean abundance while cestodes and nematodes had much lower prevalence and mean abundance. Structural equation modeling revealed that best-fitting models to explain variations in parasite burden included genetic heterozygosity and immunocompetence as well as distance to the nearest water source and the year of host capture. Thus, both differential host exposure and differential parasite establishment significantly influence heterogeneous helminth burdens, thus driving population-level patterns of parasite aggregation.
AB - In most host-parasite systems, variation in parasite burden among hosts drives transmission dynamics. Heavily infected individuals introduce disproportionate numbers of infective stages into host populations or surrounding environments, causing sharp increases in frequency of infection. Parasite aggregation within host populations may result from variation among hosts in exposure to infective propagules and probability of subsequent establishment of parasites in the host. This is because individual host heterogeneities contribute to a pattern of parasite overdispersion that emerges at the population level. We quantified relative roles of host exposure and parasite establishment in producing variation in parasite burdens, to predict which hosts are more likely to bear heavy burdens, using big brown bats (Eptesicus fuscus) and their helminths as a model system. We captured bats from seven colonies in Michigan and Indiana, USA, assessed their helminth burdens, and collected data on intrinsic and extrinsic variables related to exposure, establishment, or both. Digenetic trematodes had the highest prevalence and mean abundance while cestodes and nematodes had much lower prevalence and mean abundance. Structural equation modeling revealed that best-fitting models to explain variations in parasite burden included genetic heterozygosity and immunocompetence as well as distance to the nearest water source and the year of host capture. Thus, both differential host exposure and differential parasite establishment significantly influence heterogeneous helminth burdens, thus driving population-level patterns of parasite aggregation.
KW - Aggregation
KW - Eptesicus fuscus
KW - Exposure
KW - Helminths
KW - Host heterogeneity
KW - Susceptibility
UR - http://www.scopus.com/inward/record.url?scp=85041008306&partnerID=8YFLogxK
U2 - 10.1016/j.ijpara.2017.10.005
DO - 10.1016/j.ijpara.2017.10.005
M3 - Article
C2 - 29395101
AN - SCOPUS:85041008306
SN - 0020-7519
VL - 48
SP - 309
EP - 318
JO - International Journal for Parasitology
JF - International Journal for Parasitology
IS - 3-4
ER -