SARS-CoV-2 genomic surveillance in wastewater as a model for monitoring evolution of endemic viruses.
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
10 10 2023
10 10 2023
Historique:
received:
16
02
2023
accepted:
30
08
2023
medline:
1
11
2023
pubmed:
11
10
2023
entrez:
10
10
2023
Statut:
epublish
Résumé
As global SARS-CoV-2 burden and testing frequency have decreased, wastewater surveillance has emerged as a key tool to support clinical surveillance efforts. The aims of this study were to identify and characterize SARS-CoV-2 variants in wastewater samples collected from urban centers across South Africa. Here we show that wastewater sequencing analyses are temporally concordant with clinical genomic surveillance and reveal the presence of multiple lineages not detected by clinical surveillance. We show that wastewater genomics can support SARS-CoV-2 epidemiological investigations by reliably recovering the prevalence of local circulating variants, even when clinical samples are not available. Further, we find that analysis of mutations observed in wastewater can provide a signal of upcoming lineage transitions. Our study demonstrates the utility of wastewater genomics to monitor evolution and spread of endemic viruses.
Identifiants
pubmed: 37816740
doi: 10.1038/s41467-023-41369-5
pii: 10.1038/s41467-023-41369-5
pmc: PMC10564906
doi:
Substances chimiques
Wastewater
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
6325Informations de copyright
© 2023. Springer Nature Limited.
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