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Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey

The Office for National Statistics Coronavirus (COVID-19) Infection Survey (ONS-CIS) is the largest surveillance study of SARS-CoV-2 positivity in the community, and collected data on the United Kingdom (UK) epidemic from April 2020 until March 2023 before being paused. Here, we report on the epidem...

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Autores principales: Lythgoe, Katrina A., Golubchik, Tanya, Hall, Matthew, House, Thomas, Cahuantzi, Roberto, MacIntyre-Cockett, George, Fryer, Helen, Thomson, Laura, Nurtay, Anel, Ghafani, Mahan, Buck, David, Green, Angie, Trebes, Amy, Piazza, Paolo, Lonie, Lorne J., Studley, Ruth, Rourke, Emma, Smith, Darren, Bashton, Matthew, Nelson, Andrew, Crown, Matthew, McCann, Clare, Young, Gregory R., Andre Nunes dos Santos, Rui, Richards, Zack, Tariq, Adnan, Fraser, Christophe, Diamond, Ian, Barrett, Jeff, Walker, Ann Sarah, Bonsall, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581763/
https://www.ncbi.nlm.nih.gov/pubmed/37848057
http://dx.doi.org/10.1098/rspb.2023.1284
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author Lythgoe, Katrina A.
Golubchik, Tanya
Hall, Matthew
House, Thomas
Cahuantzi, Roberto
MacIntyre-Cockett, George
Fryer, Helen
Thomson, Laura
Nurtay, Anel
Ghafani, Mahan
Buck, David
Green, Angie
Trebes, Amy
Piazza, Paolo
Lonie, Lorne J.
Studley, Ruth
Rourke, Emma
Smith, Darren
Bashton, Matthew
Nelson, Andrew
Crown, Matthew
McCann, Clare
Young, Gregory R.
Andre Nunes dos Santos, Rui
Richards, Zack
Tariq, Adnan
Fraser, Christophe
Diamond, Ian
Barrett, Jeff
Walker, Ann Sarah
Bonsall, David
author_facet Lythgoe, Katrina A.
Golubchik, Tanya
Hall, Matthew
House, Thomas
Cahuantzi, Roberto
MacIntyre-Cockett, George
Fryer, Helen
Thomson, Laura
Nurtay, Anel
Ghafani, Mahan
Buck, David
Green, Angie
Trebes, Amy
Piazza, Paolo
Lonie, Lorne J.
Studley, Ruth
Rourke, Emma
Smith, Darren
Bashton, Matthew
Nelson, Andrew
Crown, Matthew
McCann, Clare
Young, Gregory R.
Andre Nunes dos Santos, Rui
Richards, Zack
Tariq, Adnan
Fraser, Christophe
Diamond, Ian
Barrett, Jeff
Walker, Ann Sarah
Bonsall, David
author_sort Lythgoe, Katrina A.
collection PubMed
description The Office for National Statistics Coronavirus (COVID-19) Infection Survey (ONS-CIS) is the largest surveillance study of SARS-CoV-2 positivity in the community, and collected data on the United Kingdom (UK) epidemic from April 2020 until March 2023 before being paused. Here, we report on the epidemiological and evolutionary dynamics of SARS-CoV-2 determined by analysing the sequenced samples collected by the ONS-CIS during this period. We observed a series of sweeps or partial sweeps, with each sweeping lineage having a distinct growth advantage compared to their predecessors, although this was also accompanied by a gradual fall in average viral burdens from June 2021 to March 2023. The sweeps also generated an alternating pattern in which most samples had either S-gene target failure (SGTF) or non-SGTF over time. Evolution was characterized by steadily increasing divergence and diversity within lineages, but with step increases in divergence associated with each sweeping major lineage. This led to a faster overall rate of evolution when measured at the between-lineage level compared to within lineages, 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.
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spelling pubmed-105817632023-10-18 Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey Lythgoe, Katrina A. Golubchik, Tanya Hall, Matthew House, Thomas Cahuantzi, Roberto MacIntyre-Cockett, George Fryer, Helen Thomson, Laura Nurtay, Anel Ghafani, Mahan Buck, David Green, Angie Trebes, Amy Piazza, Paolo Lonie, Lorne J. Studley, Ruth Rourke, Emma Smith, Darren Bashton, Matthew Nelson, Andrew Crown, Matthew McCann, Clare Young, Gregory R. Andre Nunes dos Santos, Rui Richards, Zack Tariq, Adnan Fraser, Christophe Diamond, Ian Barrett, Jeff Walker, Ann Sarah Bonsall, David Proc Biol Sci Biological Applications The Office for National Statistics Coronavirus (COVID-19) Infection Survey (ONS-CIS) is the largest surveillance study of SARS-CoV-2 positivity in the community, and collected data on the United Kingdom (UK) epidemic from April 2020 until March 2023 before being paused. Here, we report on the epidemiological and evolutionary dynamics of SARS-CoV-2 determined by analysing the sequenced samples collected by the ONS-CIS during this period. We observed a series of sweeps or partial sweeps, with each sweeping lineage having a distinct growth advantage compared to their predecessors, although this was also accompanied by a gradual fall in average viral burdens from June 2021 to March 2023. The sweeps also generated an alternating pattern in which most samples had either S-gene target failure (SGTF) or non-SGTF over time. Evolution was characterized by steadily increasing divergence and diversity within lineages, but with step increases in divergence associated with each sweeping major lineage. This led to a faster overall rate of evolution when measured at the between-lineage level compared to within lineages, 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. The Royal Society 2023-10-18 /pmc/articles/PMC10581763/ /pubmed/37848057 http://dx.doi.org/10.1098/rspb.2023.1284 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Biological Applications
Lythgoe, Katrina A.
Golubchik, Tanya
Hall, Matthew
House, Thomas
Cahuantzi, Roberto
MacIntyre-Cockett, George
Fryer, Helen
Thomson, Laura
Nurtay, Anel
Ghafani, Mahan
Buck, David
Green, Angie
Trebes, Amy
Piazza, Paolo
Lonie, Lorne J.
Studley, Ruth
Rourke, Emma
Smith, Darren
Bashton, Matthew
Nelson, Andrew
Crown, Matthew
McCann, Clare
Young, Gregory R.
Andre Nunes dos Santos, Rui
Richards, Zack
Tariq, Adnan
Fraser, Christophe
Diamond, Ian
Barrett, Jeff
Walker, Ann Sarah
Bonsall, David
Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey
title Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey
title_full Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey
title_fullStr Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey
title_full_unstemmed Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey
title_short Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey
title_sort lineage replacement and evolution captured by 3 years of the united kingdom coronavirus (covid-19) infection survey
topic Biological Applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10581763/
https://www.ncbi.nlm.nih.gov/pubmed/37848057
http://dx.doi.org/10.1098/rspb.2023.1284
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