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哺乳动物接触埃博拉病毒的生态指标。

Ecological indicators of mammal exposure to Ebolavirus.

机构信息

Odum School of Ecology and Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA 30602, USA.

Department of Biology, Missouri State University, 901 S. National Ave, Springfield, MO 65897, USA.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30;374(1782):20180337. doi: 10.1098/rstb.2018.0337. Epub 2019 Aug 12.

DOI:10.1098/rstb.2018.0337
PMID:31401967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6711296/
Abstract

Much of the basic ecology of Ebolavirus remains unresolved despite accumulating disease outbreaks, viral strains and evidence of animal hosts. Because human Ebolavirus epidemics have been linked to contact with wild mammals other than bats, traits shared by species that have been infected by Ebolavirus and their phylogenetic distribution could suggest ecological mechanisms contributing to human Ebolavirus spillovers. We compiled data on Ebolavirus exposure in mammals and corresponding data on life-history traits, movement, and diet, and used boosted regression trees (BRT) to identify predictors of exposure and infection for 119 species (hereafter hosts). Mapping the phylogenetic distribution of presumptive Ebolavirus hosts reveals that they are scattered across several distinct mammal clades, but concentrated among Old World fruit bats, primates and artiodactyls. While sampling effort was the most important predictor, explaining nearly as much of the variation among hosts as traits, BRT models distinguished hosts from all other species with greater than 97% accuracy, and revealed probable Ebolavirus hosts as large-bodied, frugivorous, and with slow life histories. Provisionally, results suggest that some insectivorous bat genera, Old World monkeys and forest antelopes should receive priority in Ebolavirus survey efforts. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.

摘要

尽管埃博拉病毒病不断暴发、出现了多种病毒株并发现了可能的动物宿主,但该病毒的许多基础生态学特性仍未得到解决。由于人类埃博拉病毒病疫情与接触除蝙蝠以外的野生动物有关,因此曾感染埃博拉病毒的物种所具有的特征及其系统发育分布情况,可能提示有助于埃博拉病毒溢出的生态机制。我们汇集了哺乳动物接触埃博拉病毒的数据以及相应的生活史特征、运动和饮食数据,并使用提升回归树(BRT)分析了 119 种(以下简称宿主)物种接触和感染的预测因子。推测埃博拉病毒宿主的系统发育分布情况表明,这些宿主分散在几个不同的哺乳动物进化枝中,但主要集中在旧大陆果蝠、灵长类和偶蹄目动物中。虽然采样力度是最重要的预测因子,对宿主间的变异解释程度几乎与特征相同,但 BRT 模型能够以超过 97%的准确率将宿主与其他所有物种区分开来,并揭示出可能的埃博拉病毒宿主通常体型较大、以水果为食且生活史缓慢。初步结果表明,一些食虫蝙蝠属、旧大陆猴和森林羚羊应作为埃博拉病毒调查工作的优先事项。本文是主题为“理解病原体溢出的动态和综合方法”的特刊的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/d32fc98ce5f5/rstb20180337-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/a5f145a3ed87/rstb20180337-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/14b1eea8a98d/rstb20180337-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/d32fc98ce5f5/rstb20180337-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/a5f145a3ed87/rstb20180337-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/14b1eea8a98d/rstb20180337-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd19/6711296/d32fc98ce5f5/rstb20180337-g3.jpg

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