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Highly sensitive wastewater surveillance of SARS-CoV-2 variants by targeted next-generation amplicon sequencing provides early warning of incursion in Victoria, Australia.

Authors :
Merrett, James E.
Nolan, Monica
Hartman, Leon
John, Nijoy
Flynn, Brianna
Baker, Louise
Schang, Christelle
McCarthy, David
Lister, David
Ngai Ning Cheng
Crosbie, Nick
Poon, Rachael
Jex, Aaron
Source :
Applied & Environmental Microbiology. Aug2024, Vol. 90 Issue 8, p1-11. 11p.
Publication Year :
2024

Abstract

The future of the COVID pandemic and its public health and societal impact will be determined by the profile and spread of emerging variants and the timely identification and response to them. Wastewater surveillance of SARS-CoV-2 has been widely adopted in many countries across the globe and has played an important role in tracking infection levels and providing useful epidemiological information that cannot be adequately captured by clinical testing alone. However, novel variants can emerge rapidly, spread globally, and markedly alter the trajectory of the pandemic, as exemplified by the Delta and Omicron variants. Most mutations linked to the emergence of new SARS-CoV-2 variants are found within variable regions of the SARS-CoV-2 Spike protein. We have developed a duplex hemi-nested PCR method that, coupled with short amplicon sequencing, allows simultaneous typing of two of the most highly variable and informative regions of the Spike gene: the N-terminal domain and the receptor binding motif. Using this method in an operationalized public health program, we identified the first known incursion of Omicron BA.1 into Victoria, Australia and demonstrated how sensitive amplicon sequencing methods can be combined with wastewater surveillance as a relatively low-cost solution for early warning of variant incursion and spread. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00992240
Volume :
90
Issue :
8
Database :
Academic Search Index
Journal :
Applied & Environmental Microbiology
Publication Type :
Academic Journal
Accession number :
179446337
Full Text :
https://doi.org/10.1128/aem.01497-23