首页> 外文期刊>International Journal for Parasitology >From individual heterogeneity to population-level overdispersion: quantifying the relative roles of host exposure and parasite establishment in driving aggregated helminth distributions
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From individual heterogeneity to population-level overdispersion: quantifying the relative roles of host exposure and parasite establishment in driving aggregated helminth distributions

机译:从个体异质性从人口级过度分解:量化宿主暴露和寄生虫在驾驶汇总的蠕虫分布中的相对作用

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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 heir-ninths 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. (C) 2018 Australian Society for Parasitology. Published by Elsevier Ltd. All rights reserved.
机译:在大多数宿主寄生虫系统中,主机之间的寄生虫负担的变化驱动传输动态。严重感染的个体将不成比例的感染阶段引入宿主群体或周围环境中,导致感染频率急剧增加。宿主群体中的寄生虫聚集可能是由于暴露于感染繁殖的宿主的变异以及随后在宿主中建立寄生虫的可能性。这是因为个体宿主异质性有助于寄生虫过度分解的模式,这些寄生虫过度分散在人口水平中出现。我们量化了宿主暴露和寄生虫在寄生虫沉淀的变异方面的相对作用,以预测使用大棕色蝙蝠(EPTESICUS FUSCUS)及其继承人为模型系统,预测哪些宿主更容易承受重负荷。我们从密歇根州和印第安纳州的七个殖民地捕获了蝙蝠,评估了他们的蠕虫负担,并收集了与曝光,建立或两者相关的内在和外在变量的数据。 DigeNeateChetic Dematodes具有最高的患病率和平均丰度,而Cestode和Nematodes患病率较低和平均丰富。结构方程模型揭示了解释寄生虫负荷变化的最佳拟合模型包括遗传杂合性和免疫功能,以及与最近的水源和宿主捕获年的距离。因此,差异宿主暴露和差分寄生虫建立都显着影响了异质蠕虫的负担,从而驱使寄生虫聚集的人口水平模式。 (c)2018澳大利亚寄生虫学会。 elsevier有限公司出版。保留所有权利。

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