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SARS-CoV-2 genomic surveillance in wastewater as a model for monitoring evolution of endemic viruses

Article scientifique 2023 Anglais

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.

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Yousif, M., Rachida, S., Taukobong, S., Ndlovu, N., Iwu, C., Howard, W., Moonsamy, S., Mhlambi, N., Gwala, S., Levy, J., Andersen, K., Scheepers, C., Gottberg, A., Wolter, N., Bhiman, J., Amoako, D., Ismail, A., Suchard, M., McCarthy, K. (2023). SARS-CoV-2 genomic surveillance in wastewater as a model for monitoring evolution of endemic viruses. https://doi.org/10.1038/s41467-023-41369-5

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Auteur(s)

Mukhlid Yousif Said Rachida Setshaba Taukobong Nkosenhle Ndlovu Chinwe Juliana Iwu Wayne Howard Shelina Moonsamy Nompilo Mhlambi Sipho Gwala Joshua I. Levy Kristian G. Andersen Cathrine Scheepers Anne von Gottberg Nicole Wolter Jinal N. Bhiman Daniel G. Amoako Arshad Ismail Melinda Suchard Kerrigan McCarthy

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