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Parasite infection induces size-dependent host dispersal: consequences for parasite persistence

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タイトル: Parasite infection induces size-dependent host dispersal: consequences for parasite persistence
著者: Terui, Akira 著作を一覧する
Ooue, Keita 著作を一覧する
Urabe, Hirokazu 著作を一覧する
Nakamura, Futoshi 著作を一覧する
キーワード: dispersal
plasticity
Bayesian statistics
freshwater mussel
salmon
発行日: 2017年11月15日
出版者: Royal Society
誌名: Proceedings of the royal society b-biological sciences
巻: 284
号: 1866
開始ページ: 20171491
出版社 DOI: 10.1098/rspb.2017.1491
抄録: Host dispersal is now recognized as a key predictor of the landscape-level persistence and expansion of parasites. However, current theories treat post-infection dispersal propensities as a fixed trait, and the plastic nature of host's responses to parasite infection has long been underappreciated. Here, we present a mark-recapture experiment in a single host-parasite system (larval parasites of the freshwater mussel Margaritifera laevis and its salmonid fish host Oncorhynchus masou masou) and provide, to our knowledge, the first empirical evidence that parasite infection induces size-dependent host dispersal in the field. In response to parasite infection, large fish become more dispersive, whereas small fish tend to stay at the home patch. The observed plasticity in dispersal is interpretable from the viewpoint of host fitness: expected benefits (release from further infection) may exceed dispersal-associated costs for individuals with high dispersal ability (i.e. large fish) but are marginal for individuals with limited dispersal ability (i.e. small fish). Indeed, our growth analysis revealed that only small fish hosts incurred dispersal costs (reduced growth). Strikingly, our simulation study revealed that this plastic dispersal response of infected hosts substantially enhanced parasite persistence and occupancy in a spatially structured system. These results suggest that dispersal plasticity in host species is critical for understanding how parasites emerge, spatially spread, and persist in nature. Our findings provide a novel starting point for building a reliable, predictive model for parasite/disease management.
資料タイプ: article (author version)
URI: http://hdl.handle.net/2115/67851
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 中村 太士

 

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