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Lineage replacement and evolution captured by the United Kingdom Covid Infection Survey
Katrina A Lythgoe; Tanya Golubchik; Matthew Hall; Thomas House; George MacIntyre-Cockett; Helen Fryer; Laura Thomson; Anel Nurtay; David Buck; Angie Green; Amy Trebes; Paolo Piazza; Lorne J Lonie; Ruth Studley; Emma Rourke; Duncan Cook; Darren Smith; Matthew Bashton; Andrew Nelson; Matthew Crown; Clare McCann; Gregory R Young; Rui Andre Nunes de Santos; Zack Richards; Adnan Tariq; - Wellcome Sanger Institute COVID-19 Surveillance Team; - COVID-19 Infection Survey Group; - The COVID-19 Genomics UK (COG-UK) consortium; Christophe Fraser; Ian Diamond; Jeff Barrett; Sarah Walker; David Bonsall.
Affiliation
  • Katrina A Lythgoe; University of Oxford
  • Tanya Golubchik; University of Oxford
  • Matthew Hall; University of Oxford
  • Thomas House; University of Manchester
  • George MacIntyre-Cockett; University of Oxford
  • Helen Fryer; University of Oxford
  • Laura Thomson; University of Oxford
  • Anel Nurtay; University of Oxford
  • David Buck; University of Oxford
  • Angie Green; University of Oxford
  • Amy Trebes; University of Oxford
  • Paolo Piazza; University of Oxford
  • Lorne J Lonie; University of Oxford
  • Ruth Studley; Office for National Statistics
  • Emma Rourke; Office for National Statistics
  • Duncan Cook; Office for National Statistics
  • Darren Smith; Northumbria University
  • Matthew Bashton; Northumbria University
  • Andrew Nelson; Northumbria University
  • Matthew Crown; Northumbria University
  • Clare McCann; Northumbria University
  • Gregory R Young; Northumbria University
  • Rui Andre Nunes de Santos; Northumbria University
  • Zack Richards; Northumbria University
  • Adnan Tariq; Northumbria University
  • - Wellcome Sanger Institute COVID-19 Surveillance Team; Wellcome Sanger Institute
  • - COVID-19 Infection Survey Group; Office for National Statistics
  • - The COVID-19 Genomics UK (COG-UK) consortium;
  • Christophe Fraser; University of Oxford
  • Ian Diamond; Office for National Statistics
  • Jeff Barrett; Wellcome Sanger Institute
  • Sarah Walker; University of Oxford
  • David Bonsall; University of Oxford
Preprint de En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21268323
ABSTRACT
The Office for National Statistics COVID-19 Infection Survey is a large household-based surveillance study based in the United Kingdom. Here, we report on the epidemiological and evolutionary dynamics of SARS-CoV-2 determined by analysing sequenced samples collected up until 13th November 2021. We observed four distinct sweeps or partial-sweeps, by lineages B.1.177, B.1.1.7/Alpha, B.1.617.2/Delta, and finally AY.4.2, a sublineage of B.1.617.2, with each sweeping lineage having a distinct growth advantage compared to their predecessors. Evolution was characterised by steady rates of evolution and increasing diversity within lineages, but with step increases in divergence associated with each sweeping major lineage, leading to a faster overall rate of evolution and fluctuating levels of diversity. These observations highlight the value of viral sequencing integrated into community surveillance studies to monitor the viral epidemiology and evolution of SARS-CoV-2, and potentially other pathogens, particularly as routine PCR testing is phased out or in settings where large-scale sequencing is not feasible.
Licence
cc_by_nc_nd
Texte intégral: 1 Collection: 09-preprints Base de données: PREPRINT-MEDRXIV Type d'étude: Observational_studies / Prognostic_studies Langue: En Année: 2022 Type de document: Preprint
Texte intégral: 1 Collection: 09-preprints Base de données: PREPRINT-MEDRXIV Type d'étude: Observational_studies / Prognostic_studies Langue: En Année: 2022 Type de document: Preprint