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Host and viral traits predict zoonotic spillover from mammals
The majority of human emerging infectious diseases are zoonotic, with viruses that originate in wild mammals of particular concern (for example, HIV, Ebola and SARS)(1,2,3). Understanding patterns of viral diversity in wildlife and determinants of successful cross-species transmission, or spillover,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570460/ https://www.ncbi.nlm.nih.gov/pubmed/28636590 http://dx.doi.org/10.1038/nature22975 |
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author | Olival, Kevin J. Hosseini, Parviez R. Zambrana-Torrelio, Carlos Ross, Noam Bogich, Tiffany L. Daszak, Peter |
author_facet | Olival, Kevin J. Hosseini, Parviez R. Zambrana-Torrelio, Carlos Ross, Noam Bogich, Tiffany L. Daszak, Peter |
author_sort | Olival, Kevin J. |
collection | PubMed |
description | The majority of human emerging infectious diseases are zoonotic, with viruses that originate in wild mammals of particular concern (for example, HIV, Ebola and SARS)(1,2,3). Understanding patterns of viral diversity in wildlife and determinants of successful cross-species transmission, or spillover, are therefore key goals for pandemic surveillance programs(4). However, few analytical tools exist to identify which host species are likely to harbour the next human virus, or which viruses can cross species boundaries(5,6,7). Here we conduct a comprehensive analysis of mammalian host–virus relationships and show that both the total number of viruses that infect a given species and the proportion likely to be zoonotic are predictable. After controlling for research effort, the proportion of zoonotic viruses per species is predicted by phylogenetic relatedness to humans, host taxonomy and human population within a species range—which may reflect human–wildlife contact. We demonstrate that bats harbour a significantly higher proportion of zoonotic viruses than all other mammalian orders. We also identify the taxa and geographic regions with the largest estimated number of ‘missing viruses’ and ‘missing zoonoses’ and therefore of highest value for future surveillance. We then show that phylogenetic host breadth and other viral traits are significant predictors of zoonotic potential, providing a novel framework to assess if a newly discovered mammalian virus could infect people. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nature22975) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5570460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55704602017-12-21 Host and viral traits predict zoonotic spillover from mammals Olival, Kevin J. Hosseini, Parviez R. Zambrana-Torrelio, Carlos Ross, Noam Bogich, Tiffany L. Daszak, Peter Nature Article The majority of human emerging infectious diseases are zoonotic, with viruses that originate in wild mammals of particular concern (for example, HIV, Ebola and SARS)(1,2,3). Understanding patterns of viral diversity in wildlife and determinants of successful cross-species transmission, or spillover, are therefore key goals for pandemic surveillance programs(4). However, few analytical tools exist to identify which host species are likely to harbour the next human virus, or which viruses can cross species boundaries(5,6,7). Here we conduct a comprehensive analysis of mammalian host–virus relationships and show that both the total number of viruses that infect a given species and the proportion likely to be zoonotic are predictable. After controlling for research effort, the proportion of zoonotic viruses per species is predicted by phylogenetic relatedness to humans, host taxonomy and human population within a species range—which may reflect human–wildlife contact. We demonstrate that bats harbour a significantly higher proportion of zoonotic viruses than all other mammalian orders. We also identify the taxa and geographic regions with the largest estimated number of ‘missing viruses’ and ‘missing zoonoses’ and therefore of highest value for future surveillance. We then show that phylogenetic host breadth and other viral traits are significant predictors of zoonotic potential, providing a novel framework to assess if a newly discovered mammalian virus could infect people. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nature22975) contains supplementary material, which is available to authorized users. Nature Publishing Group UK 2017-06-21 2017 /pmc/articles/PMC5570460/ /pubmed/28636590 http://dx.doi.org/10.1038/nature22975 Text en © Macmillan Publishers Limited, part of Springer Nature. All rights reserved. 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Olival, Kevin J. Hosseini, Parviez R. Zambrana-Torrelio, Carlos Ross, Noam Bogich, Tiffany L. Daszak, Peter Host and viral traits predict zoonotic spillover from mammals |
title | Host and viral traits predict zoonotic spillover from mammals |
title_full | Host and viral traits predict zoonotic spillover from mammals |
title_fullStr | Host and viral traits predict zoonotic spillover from mammals |
title_full_unstemmed | Host and viral traits predict zoonotic spillover from mammals |
title_short | Host and viral traits predict zoonotic spillover from mammals |
title_sort | host and viral traits predict zoonotic spillover from mammals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570460/ https://www.ncbi.nlm.nih.gov/pubmed/28636590 http://dx.doi.org/10.1038/nature22975 |
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