Predicting the global mammalian viral sharing network using phylogeography

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 shar...

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Autores principales:	Gregory F. Albery, Evan A. Eskew, Noam Ross, Kevin J. Olival
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/441be43417824661ace765e4094fcd3f
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id	oai:doaj.org-article:441be43417824661ace765e4094fcd3f
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spelling	oai:doaj.org-article:441be43417824661ace765e4094fcd3f2021-12-02T14:41:25ZPredicting the global mammalian viral sharing network using phylogeography10.1038/s41467-020-16153-42041-1723https://doaj.org/article/441be43417824661ace765e4094fcd3f2020-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16153-4https://doaj.org/toc/2041-1723Prior 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.Gregory F. AlberyEvan A. EskewNoam RossKevin J. OlivalNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gregory F. Albery Evan A. Eskew Noam Ross Kevin J. Olival Predicting the global mammalian viral sharing network using phylogeography
description	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.
format	article
author	Gregory F. Albery Evan A. Eskew Noam Ross Kevin J. Olival
author_facet	Gregory F. Albery Evan A. Eskew Noam Ross Kevin J. Olival
author_sort	Gregory F. Albery
title	Predicting the global mammalian viral sharing network using phylogeography
title_short	Predicting the global mammalian viral sharing network using phylogeography
title_full	Predicting the global mammalian viral sharing network using phylogeography
title_fullStr	Predicting the global mammalian viral sharing network using phylogeography
title_full_unstemmed	Predicting the global mammalian viral sharing network using phylogeography
title_sort	predicting the global mammalian viral sharing network using phylogeography
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/441be43417824661ace765e4094fcd3f
work_keys_str_mv	AT gregoryfalbery predictingtheglobalmammalianviralsharingnetworkusingphylogeography AT evanaeskew predictingtheglobalmammalianviralsharingnetworkusingphylogeography AT noamross predictingtheglobalmammalianviralsharingnetworkusingphylogeography AT kevinjolival predictingtheglobalmammalianviralsharingnetworkusingphylogeography
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Predicting the global mammalian viral sharing network using phylogeography

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