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Nature. 2022 Jul;607(7919):555-562. doi: 10.1038/s41586-022-04788-w. Epub 2022 Apr 28.
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Predicting the global mammalian viral sharing network using phylogeography.利用系统地理学预测全球哺乳动物病毒共享网络。
Nat Commun. 2020 May 8;11(1):2260. doi: 10.1038/s41467-020-16153-4.
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The study of parasite sharing for surveillance of zoonotic diseases.用于人畜共患病监测的寄生虫共享研究。
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Vector-borne parasite invasion in communities across space and time.随时间和空间变化的虫媒寄生虫入侵。
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Phylogenetic aggregation increases zoonotic potential of mammalian viruses.系统发育聚集增加了哺乳动物病毒的人畜共患病潜力。
Biol Lett. 2019 Dec;15(12):20190668. doi: 10.1098/rsbl.2019.0668. Epub 2019 Dec 18.
6
Host phylogenetic distance drives trends in virus virulence and transmissibility across the animal-human interface.宿主进化距离驱动病毒在动物-人类界面的毒力和传染性的变化趋势。
Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30;374(1782):20190296. doi: 10.1098/rstb.2019.0296. Epub 2019 Aug 12.
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Cross-species pathogen spillover across ecosystem boundaries: mechanisms and theory.跨物种病原体溢出跨越生态系统边界:机制和理论。
Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30;374(1782):20180344. doi: 10.1098/rstb.2018.0344. Epub 2019 Aug 12.
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How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure.如何从暴露数据中获得更多收益?一种集成机器学习管道,用于预测病原体暴露。
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Proc Biol Sci. 2019 May 29;286(1903):20190673. doi: 10.1098/rspb.2019.0673.
10
Disease mortality in domesticated animals is predicted by host evolutionary relationships.家养动物的疾病死亡率由宿主进化关系决定。
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宿主和寄生虫特征可预测外来哺乳动物跨物种获取寄生虫的情况。

Host and parasite traits predict cross-species parasite acquisition by introduced mammals.

作者信息

Schatz Annakate M, Park Andrew W

机构信息

Odum School of Ecology, University of Georgia, Athens, GA, USA.

Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA.

出版信息

Proc Biol Sci. 2021 May 12;288(1950):20210341. doi: 10.1098/rspb.2021.0341. Epub 2021 May 5.

DOI:10.1098/rspb.2021.0341
PMID:33947240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8097221/
Abstract

Species invasions and range shifts can lead to novel host-parasite communities, but we lack general rules on which new associations are likely to form. While many studies examine parasite sharing among host species, the directionality of transmission is typically overlooked, impeding our ability to derive principles of parasite acquisition. Consequently, we analysed parasite records from the non-native ranges of 11 carnivore and ungulate species. Using boosted regression trees, we modelled parasite acquisition within each zoogeographic realm of a focal host's non-native range, using a suite of predictors characterizing the parasites themselves and the host community in which they live. We found that higher parasite prevalence among established hosts increases the likelihood of acquisition, particularly for generalist parasites. Non-native host species are also more likely to acquire parasites from established host species to which they are closely related; however, the acquisition of several parasite groups is biased to phylogenetically specialist parasites, indicating potential costs of parasite generalism. Statistical models incorporating these features provide an accurate prediction of parasite acquisition, indicating that measurable host and parasite traits can be used to estimate the likelihood of new host-parasite associations forming. This work provides general rules to help anticipate novel host-parasite associations created by climate change and other anthropogenic influences.

摘要

物种入侵和分布范围的变化可能导致新的宿主-寄生虫群落出现,但我们缺乏关于哪些新关联可能形成的通用规则。虽然许多研究考察了宿主物种之间的寄生虫共享情况,但传播的方向性通常被忽视,这阻碍了我们推导寄生虫获取原则的能力。因此,我们分析了11种食肉动物和有蹄类动物非本土分布范围内的寄生虫记录。利用增强回归树,我们在重点宿主非本土分布的每个动物地理区域内,使用一系列描述寄生虫本身及其所生活的宿主群落的预测变量,对寄生虫获取情况进行建模。我们发现,已定居宿主中较高的寄生虫患病率会增加获取寄生虫的可能性,尤其是对于泛寄生物种而言。非本土宿主物种也更有可能从与其亲缘关系密切的已定居宿主物种那里获取寄生虫;然而,几种寄生虫类群的获取偏向于系统发育上的专性寄生虫,这表明寄生虫泛化存在潜在代价。纳入这些特征的统计模型能够准确预测寄生虫获取情况,这表明可测量的宿主和寄生虫特征可用于估计新的宿主-寄生虫关联形成的可能性。这项工作提供了通用规则,以帮助预测由气候变化和其他人为影响所产生的新的宿主-寄生虫关联。