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Setting a baseline for global urban virome surveillance in sewage

The rapid development of megacities, and their growing connectedness across the world is becoming a distinct driver for emerging disease outbreaks. Early detection of unusual disease emergence and spread should therefore include such cities as part of risk-based surveillance. A catch-all metagenomic...

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Autores principales: Nieuwenhuijse, David F., Oude Munnink, Bas B., Phan, My V. T., Munk, Patrick, Venkatakrishnan, Shweta, Aarestrup, Frank M., Cotten, Matthew, Koopmans, Marion P. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426863/
https://www.ncbi.nlm.nih.gov/pubmed/32792677
http://dx.doi.org/10.1038/s41598-020-69869-0
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author Nieuwenhuijse, David F.
Oude Munnink, Bas B.
Phan, My V. T.
Munk, Patrick
Venkatakrishnan, Shweta
Aarestrup, Frank M.
Cotten, Matthew
Koopmans, Marion P. G.
author_facet Nieuwenhuijse, David F.
Oude Munnink, Bas B.
Phan, My V. T.
Munk, Patrick
Venkatakrishnan, Shweta
Aarestrup, Frank M.
Cotten, Matthew
Koopmans, Marion P. G.
author_sort Nieuwenhuijse, David F.
collection PubMed
description The rapid development of megacities, and their growing connectedness across the world is becoming a distinct driver for emerging disease outbreaks. Early detection of unusual disease emergence and spread should therefore include such cities as part of risk-based surveillance. A catch-all metagenomic sequencing approach of urban sewage could potentially provide an unbiased insight into the dynamics of viral pathogens circulating in a community irrespective of access to care, a potential which already has been proven for the surveillance of poliovirus. Here, we present a detailed characterization of sewage viromes from a snapshot of 81 high density urban areas across the globe, including in-depth assessment of potential biases, as a proof of concept for catch-all viral pathogen surveillance. We show the ability to detect a wide range of viruses and geographical and seasonal differences for specific viral groups. Our findings offer a cross-sectional baseline for further research in viral surveillance from urban sewage samples and place previous studies in a global perspective.
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spelling pubmed-74268632020-08-14 Setting a baseline for global urban virome surveillance in sewage Nieuwenhuijse, David F. Oude Munnink, Bas B. Phan, My V. T. Munk, Patrick Venkatakrishnan, Shweta Aarestrup, Frank M. Cotten, Matthew Koopmans, Marion P. G. Sci Rep Article The rapid development of megacities, and their growing connectedness across the world is becoming a distinct driver for emerging disease outbreaks. Early detection of unusual disease emergence and spread should therefore include such cities as part of risk-based surveillance. A catch-all metagenomic sequencing approach of urban sewage could potentially provide an unbiased insight into the dynamics of viral pathogens circulating in a community irrespective of access to care, a potential which already has been proven for the surveillance of poliovirus. Here, we present a detailed characterization of sewage viromes from a snapshot of 81 high density urban areas across the globe, including in-depth assessment of potential biases, as a proof of concept for catch-all viral pathogen surveillance. We show the ability to detect a wide range of viruses and geographical and seasonal differences for specific viral groups. Our findings offer a cross-sectional baseline for further research in viral surveillance from urban sewage samples and place previous studies in a global perspective. Nature Publishing Group UK 2020-08-13 /pmc/articles/PMC7426863/ /pubmed/32792677 http://dx.doi.org/10.1038/s41598-020-69869-0 Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nieuwenhuijse, David F.
Oude Munnink, Bas B.
Phan, My V. T.
Munk, Patrick
Venkatakrishnan, Shweta
Aarestrup, Frank M.
Cotten, Matthew
Koopmans, Marion P. G.
Setting a baseline for global urban virome surveillance in sewage
title Setting a baseline for global urban virome surveillance in sewage
title_full Setting a baseline for global urban virome surveillance in sewage
title_fullStr Setting a baseline for global urban virome surveillance in sewage
title_full_unstemmed Setting a baseline for global urban virome surveillance in sewage
title_short Setting a baseline for global urban virome surveillance in sewage
title_sort setting a baseline for global urban virome surveillance in sewage
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426863/
https://www.ncbi.nlm.nih.gov/pubmed/32792677
http://dx.doi.org/10.1038/s41598-020-69869-0
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