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 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.
| Errataetall: |
ErratumIn: Sci Rep. 2021 Aug 25;11(1):17446. - PMID 34433858 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
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| Enthalten in: |
Scientific reports - 10(2020), 1 vom: 13. Aug., Seite 13748 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Nieuwenhuijse, David F [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 16.12.2020 Date Revised 27.08.2021 published: Electronic ErratumIn: Sci Rep. 2021 Aug 25;11(1):17446. - PMID 34433858 Citation Status MEDLINE |
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| doi: |
10.1038/s41598-020-69869-0 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM313673497 |
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| 245 | 1 | 0 | |a Setting a baseline for global urban virome surveillance in sewage |
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| 500 | |a ErratumIn: Sci Rep. 2021 Aug 25;11(1):17446. - PMID 34433858 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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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| 700 | 1 | |a Phan, My V T |e verfasserin |4 aut | |
| 700 | 0 | |a Global Sewage Surveillance project consortium |e verfasserin |4 aut | |
| 700 | 1 | |a Munk, Patrick |e verfasserin |4 aut | |
| 700 | 1 | |a Venkatakrishnan, Shweta |e verfasserin |4 aut | |
| 700 | 1 | |a Aarestrup, Frank M |e verfasserin |4 aut | |
| 700 | 1 | |a Cotten, Matthew |e verfasserin |4 aut | |
| 700 | 1 | |a Koopmans, Marion P G |e verfasserin |4 aut | |
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