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Transmission dynamics of SARS-CoV-2 within-host diversity in two major hospital outbreaks in South Africa.
San, James E; Ngcapu, Sinaye; Kanzi, Aquillah M; Tegally, Houriiyah; Fonseca, Vagner; Giandhari, Jennifer; Wilkinson, Eduan; Nelson, Chase W; Smidt, Werner; Kiran, Anmol M; Chimukangara, Benjamin; Pillay, Sureshnee; Singh, Lavanya; Fish, Maryam; Gazy, Inbal; Martin, Darren P; Khanyile, Khulekani; Lessells, Richard; de Oliveira, Tulio.
  • San JE; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Ngcapu S; Centre for the AIDS Programme of Research in South Africa (CAPRISA), Durban, South Africa.
  • Kanzi AM; Department of Medical Microbiology, University of KwaZulu-Natal, Durban, South Africa.
  • Tegally H; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Fonseca V; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Giandhari J; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Wilkinson E; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Nelson CW; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Smidt W; Biodiversity Research Center, Academia Sinica, Taipei, Taiwan.
  • Kiran AM; Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA.
  • Chimukangara B; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Pillay S; Africa Health Research Institute (AHRI), Durban, South Africa.
  • Singh L; Malawi-Liverpool-Wellcome Trust, Queen Elizabeth Central Hospital, College of Medicine, Blantyre, Malawi.
  • Fish M; Centre for Inflammation Research, Queens Research Institute, University of Edinburgh, Edinburgh, UK.
  • Gazy I; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Martin DP; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Khanyile K; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • Lessells R; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
  • de Oliveira T; KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), School of Laboratory Medicine & Medical Sciences, University of KwaZulu- Natal, Durban, South Africa.
Virus Evol ; 7(1): veab041, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1243512
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes acute, highly transmissible respiratory infection in humans and a wide range of animal species. Its rapid global spread has resulted in a major public health emergency, necessitating commensurately rapid research to improve control strategies. In particular, the ability to effectively retrace transmission chains in outbreaks remains a major challenge, partly due to our limited understanding of the virus' underlying evolutionary dynamics within and between hosts. We used high-throughput sequencing whole-genome data coupled with bottleneck analysis to retrace the pathways of viral transmission in two nosocomial outbreaks that were previously characterised by epidemiological and phylogenetic methods. Additionally, we assessed the mutational landscape, selection pressures, and diversity at the within-host level for both outbreaks. Our findings show evidence of within-host selection and transmission of variants between samples. Both bottleneck and diversity analyses highlight within-host and consensus-level variants shared by putative source-recipient pairs in both outbreaks, suggesting that certain within-host variants in these outbreaks may have been transmitted upon infection rather than arising de novo independently within multiple hosts. Overall, our findings demonstrate the utility of combining within-host diversity and bottleneck estimations for elucidating transmission events in SARS-CoV-2 outbreaks, provide insight into the maintenance of viral genetic diversity, provide a list of candidate targets of positive selection for further investigation, and demonstrate that within-host variants can be transferred between patients. Together these results will help in developing strategies to understand the nature of transmission events and curtail the spread of SARS-CoV-2.
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Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Journal: Virus Evol Year: 2021 Document Type: Article Affiliation country: Ve

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Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Journal: Virus Evol Year: 2021 Document Type: Article Affiliation country: Ve