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Ecological indicators of mammal exposure to Ebolavirus

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 Ebolavi...

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Detalles Bibliográficos
Autores principales: Schmidt, John Paul, Maher, Sean, Drake, John M., Huang, Tao, Farrell, Maxwell J., Han, Barbara A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711296/
https://www.ncbi.nlm.nih.gov/pubmed/31401967
http://dx.doi.org/10.1098/rstb.2018.0337
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author Schmidt, John Paul
Maher, Sean
Drake, John M.
Huang, Tao
Farrell, Maxwell J.
Han, Barbara A.
author_facet Schmidt, John Paul
Maher, Sean
Drake, John M.
Huang, Tao
Farrell, Maxwell J.
Han, Barbara A.
author_sort Schmidt, John Paul
collection PubMed
description 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’.
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spelling pubmed-67112962019-09-03 Ecological indicators of mammal exposure to Ebolavirus Schmidt, John Paul Maher, Sean Drake, John M. Huang, Tao Farrell, Maxwell J. Han, Barbara A. Philos Trans R Soc Lond B Biol Sci Articles 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’. The Royal Society 2019-09-30 2019-08-12 /pmc/articles/PMC6711296/ /pubmed/31401967 http://dx.doi.org/10.1098/rstb.2018.0337 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Schmidt, John Paul
Maher, Sean
Drake, John M.
Huang, Tao
Farrell, Maxwell J.
Han, Barbara A.
Ecological indicators of mammal exposure to Ebolavirus
title Ecological indicators of mammal exposure to Ebolavirus
title_full Ecological indicators of mammal exposure to Ebolavirus
title_fullStr Ecological indicators of mammal exposure to Ebolavirus
title_full_unstemmed Ecological indicators of mammal exposure to Ebolavirus
title_short Ecological indicators of mammal exposure to Ebolavirus
title_sort ecological indicators of mammal exposure to ebolavirus
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6711296/
https://www.ncbi.nlm.nih.gov/pubmed/31401967
http://dx.doi.org/10.1098/rstb.2018.0337
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