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Co-incidence of BA.1 and BA.2 at the start of Singapore's Omicron wave revealed by Community and University Campus wastewater surveillance.
Chua, Feng Jun Desmond; Kim, Se Yeon; Hill, Eric; Cai, Jia Wei; Lee, Wei Lin; Gu, Xiaoqiong; Afri Affandi, Siti Aisyah; Kwok, Wee Chiew Germaine; Ng, Weijie; Leifels, Mats; Armas, Federica; Chandra, Franciscus; Chen, Hongjie; Alm, Eric J; Tay, Martin; Wong, Chui Ching Judith; Ng, Lee Ching; Wuertz, Stefan; Thompson, Janelle R.
  • Chua FJD; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Kim SY; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Hill E; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Cai JW; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Lee WL; Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore.
  • Gu X; Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore.
  • Afri Affandi SA; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Kwok WCG; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Ng W; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Leifels M; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore.
  • Armas F; Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore.
  • Chandra F; Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore.
  • Chen H; Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore.
  • Alm EJ; Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore; Centre for Microbiome Informatics and Therapeutics, Massachusetts Institute of Te
  • Tay M; Environmental Health Institute, National Environmental Agency, 138667, Singapore.
  • Wong CCJ; Environmental Health Institute, National Environmental Agency, 138667, Singapore.
  • Ng LC; Environmental Health Institute, National Environmental Agency, 138667, Singapore; School of Biological Sciences, Nanyang Technological University, 637551, Singapore.
  • Wuertz S; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore; School of Civil and Environmental Engineering, Nanyang Technological University, 639798, Singapore.
  • Thompson JR; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, 637551, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), 138602, Singapore; Asian School of the Environment, Nanyang Technological University, 637459, Singapore. Electronic
Sci Total Environ ; 875: 162611, 2023 Jun 01.
Article in English | MEDLINE | ID: covidwho-2255129
ABSTRACT
Wastewater surveillance (WWS) has been globally recognised to be a useful tool in quantifying SARS-CoV-2 RNA at the community and residential levels without biases associated with case-reporting. The emergence of variants of concern (VOCs) have given rise to an unprecedented number of infections even though populations are increasingly vaccinated. This is because VOCs have been reported to possess higher transmissibility and can evade host immune responses. The B.1.1.529 lineage (Omicron) has severely disrupted global plans to return to normalcy. In this study, we developed an allele-specific (AS) RT-qPCR assay which simultaneously targets the stretch of deletions and mutations in the spike protein from position 24-27 for quantitative detection of Omicron BA.2. Together with previous assays that detect mutations associated with Omicron BA.1 (deletion at position 69 and 70) and all Omicron (mutation at position 493 and 498), we report the validation and time series of these assays from September 2021 to May 2022 using influent samples from two wastewater treatment plants and across four University campus sites in Singapore. Viral RNA concentrations at the treatment plants corroborate with locally reported clinical cases, AS RT-qPCR assays revealed co-incidence of Omicron BA.1 and BA.2 on 12 January 2022, almost two months after initial BA.1 detection in South Africa and Botswana. BA.2 became the dominant variant by the end of January 2022 and completely displaced BA.1 by mid-March 2022. University campus sites were similarly positive for BA.1 and/or BA.2 in the same week as first detection at the treatment plants, where BA.2 became rapidly established as the dominant lineage within three weeks. These results corroborate clinical incidence of the Omicron lineages in Singapore and indicate minimal silent circulation prior to January 2022. The subsequent simultaneous spread of both variant lineages followed strategic relaxation of safe management measures upon meeting nationwide vaccination goals.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2023 Document Type: Article Affiliation country: J.scitotenv.2023.162611

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Vaccines / Variants Limits: Humans Country/Region as subject: Asia Language: English Journal: Sci Total Environ Year: 2023 Document Type: Article Affiliation country: J.scitotenv.2023.162611