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Tracking the circulating SARS-CoV-2 variant of concern in South Africa using wastewater-based epidemiology.
Johnson, Rabia; Sharma, Jyoti R; Ramharack, Pritika; Mangwana, Noluxabiso; Kinnear, Craig; Viraragavan, Amsha; Glanzmann, Brigitte; Louw, Johan; Abdelatif, Nada; Reddy, Tarylee; Surujlal-Naicker, Swastika; Nkambule, Sizwe; Mahlangeni, Nomfundo; Webster, Candice; Mdhluli, Mongezi; Gray, Glenda; Mathee, Angela; Preiser, Wolfgang; Muller, Christo; Street, Renee.
  • Johnson R; Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa. rabia.johnson@mrc.ac.za.
  • Sharma JR; Division of Medical Physiology, Faculty of Medicine and Health Sciences, Centre for Cardiometabolic Research in Africa, Stellenbosch University, Stellenbosch, South Africa. rabia.johnson@mrc.ac.za.
  • Ramharack P; Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Mangwana N; Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Kinnear C; Pharmaceutical Sciences, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
  • Viraragavan A; Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Glanzmann B; Genomics Centre, South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Louw J; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa.
  • Abdelatif N; Genomics Centre, South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Reddy T; Genomics Centre, South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Surujlal-Naicker S; Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa.
  • Nkambule S; Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council (SAMRC), Tygerberg, 7505, South Africa.
  • Mahlangeni N; Biostatistics Research Unit, South African Medical Research Council (SAMRC), Durban, South Africa.
  • Webster C; Biostatistics Research Unit, South African Medical Research Council (SAMRC), Durban, South Africa.
  • Mdhluli M; Scientific Services, Water and Sanitation Department, City of Cape Town Metropolitan Municipality, Cape Town, South Africa.
  • Gray G; Environment and Health Research Unit, South African Medical Research Council (SAMRC), Durban, South Africa.
  • Mathee A; Environment and Health Research Unit, South African Medical Research Council (SAMRC), Durban, South Africa.
  • Preiser W; Environment and Health Research Unit, South African Medical Research Council (SAMRC), Johannesburg, South Africa.
  • Muller C; Office of the President, South African Medical Research Council, Tygerberg, 7050, South Africa.
  • Street R; Office of the President, South African Medical Research Council, Tygerberg, 7050, South Africa.
Sci Rep ; 12(1): 1182, 2022 01 21.
Article in English | MEDLINE | ID: covidwho-1642019
ABSTRACT
This study uses wastewater-based epidemiology (WBE) to rapidly and, through targeted surveillance, track the geographical distribution of SARS-CoV-2 variants of concern (Alpha, Beta and Delta) within 24 wastewater treatment plants (WWTPs) in the Western Cape of South Africa. Information obtained was used to identify the circulating variant of concern (VOC) within a population and retrospectively trace when the predominant variant was introduced. Genotyping analysis of SARS-CoV-2 showed that 50% of wastewater samples harbored signature mutations linked to the Beta variant before the third wave, with the Delta variant absent within the population. Over time, the prevalence of the beta variant decreased steadily. The onset of the third wave resulted in the Delta variant becoming the predominant variant, with a 100% prevalence supporting the theory that the Delta variant was driving the third wave. In silico molecular docking analysis showed that the signature mutations of the Delta variant increased binding to host proteins, suggesting a possible molecular mechanism that increased viral infectivity of the Delta variant.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater-Based Epidemiological Monitoring / SARS-CoV-2 / COVID-19 Type of study: Observational study Topics: Variants Limits: Humans Country/Region as subject: Africa Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-05110-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Wastewater-Based Epidemiological Monitoring / SARS-CoV-2 / COVID-19 Type of study: Observational study Topics: Variants Limits: Humans Country/Region as subject: Africa Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-05110-4