GSTDTAP  > 资源环境科学
DOI10.1038/s41467-020-16153-4
Predicting the global mammalian viral sharing network using phylogeography
Albery, Gregory F.1,2,3; Eskew, Evan A.1; Ross, Noam1; Olival, Kevin J.1
2020-05-08
发表期刊NATURE COMMUNICATIONS
ISSN2041-1723
出版年2020
卷号11期号:1
文章类型Article
语种英语
国家USA; Scotland
英文摘要

Understanding interspecific viral transmission is key to understanding viral ecology and evolution, disease spillover into humans, and the consequences of global change. Prior studies have uncovered macroecological drivers of viral sharing, but analyses have never attempted to predict viral sharing in a pan-mammalian context. Using a conservative modelling framework, we confirm that host phylogenetic similarity and geographic range overlap are strong, nonlinear predictors of viral sharing among species across the entire mammal class. Using these traits, we predict global viral sharing patterns of 4196 mammal species and show that our simulated network successfully predicts viral sharing and reservoir host status using internal validation and an external dataset. We predict high rates of mammalian viral sharing in the tropics, particularly among rodents and bats, and within- and between-order sharing differed geographically and taxonomically. Our results emphasize the importance of ecological and phylogenetic factors in shaping mammalian viral communities, and provide a robust, general model to predict viral host range and guide pathogen surveillance and conservation efforts. Prior studies have investigated macroecological patterns of host sharing among viruses, although certain mammal clades have not been represented in these analyses, and the findings have not been used to predict the true network. Here the authors model the species level traits that predict viral sharing across all mammal clades and validate their predictions using an independent dataset.


领域地球科学 ; 气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000533938000002
WOS关键词RANGE SHIFTS ; HOST ; VIRUS ; PHYLOGENY ; DISEASES
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/249954
专题资源环境科学
作者单位1.EcoHlth Alliance, New York, NY 10001 USA;
2.Univ Edinburgh, Inst Evolutionary Biol, Edinburgh, Midlothian, Scotland;
3.Georgetown Univ, Dept Biol, Washington, DC 20057 USA
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Albery, Gregory F.,Eskew, Evan A.,Ross, Noam,et al. Predicting the global mammalian viral sharing network using phylogeography[J]. NATURE COMMUNICATIONS,2020,11(1).
APA Albery, Gregory F.,Eskew, Evan A.,Ross, Noam,&Olival, Kevin J..(2020).Predicting the global mammalian viral sharing network using phylogeography.NATURE COMMUNICATIONS,11(1).
MLA Albery, Gregory F.,et al."Predicting the global mammalian viral sharing network using phylogeography".NATURE COMMUNICATIONS 11.1(2020).
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