Tracking the circulating SARS-CoV-2 variant of concern in South Africa using wastewater-based epidemiology

被引:25
|
作者
Johnson, Rabia [1 ,2 ]
Sharma, Jyoti R. [1 ]
Ramharack, Pritika [1 ,3 ]
Mangwana, Noluxabiso [1 ]
Kinnear, Craig [4 ,5 ]
Viraragavan, Amsha [4 ]
Glanzmann, Brigitte [4 ,5 ]
Louw, Johan [1 ]
Abdelatif, Nada [6 ]
Reddy, Tarylee [6 ]
Surujlal-Naicker, Swastika [7 ]
Nkambule, Sizwe [8 ]
Mahlangeni, Nomfundo [8 ]
Webster, Candice [9 ]
Mdhluli, Mongezi [10 ]
Gray, Glenda [10 ]
Mathee, Angela [9 ]
Preiser, Wolfgang [11 ,12 ]
Muller, Christo [1 ,2 ]
Street, Renee [8 ]
机构
[1] South African Med Res Council SAMRC, Biomed Res & Innovat Platform BRIP, ZA-7505 Tygerberg, South Africa
[2] Stellenbosch Univ, Fac Med & Hlth Sci, Ctr Cardiometab Res Africa, Div Med Physiol, Stellenbosch, South Africa
[3] Univ KwaZulu Natal, Sch Hlth Sci, Pharmaceut Sci, Westville Campus, ZA-4001 Durban, South Africa
[4] South African Med Res Council SAMRC, Genom Ics Ctr, ZA-7505 Tygerberg, South Africa
[5] Stellenbosch Univ, South African Med Res Council Ctr TB Res, DSI NRF Ctr Excellence Biomed TB Res, Div Mol Biol & Human Genet,Fac Med & Hlth Sci, Cape Town, South Africa
[6] South African Med Res Council SAMRC, Biostat Res Unit, Durban, South Africa
[7] City Cape Town Metropolitan Municipal, Sci Serv Water & Sanitat Dept, Cape Town, South Africa
[8] South African Med Res Council SAMRC, Environm & Hlth Res Unit, Durban, South Africa
[9] South African Med Res Council SAMRC, Environm & Hlth Res Unit, Johannesburg, South Africa
[10] South African Med Res Council, Off President, ZA-7050 Tygerberg, South Africa
[11] Stellenbosch Univ, Div Med Virol, NHLS Tygerberg Hosp, Cape Town, South Africa
[12] Stellenbosch Univ, Fac Med & Hlth Sci, Cape Town, South Africa
基金
英国医学研究理事会;
关键词
D O I
10.1038/s41598-022-05110-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:12
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