Lythgoe, KA;
Hall, M;
Ferretti, L;
de Cesare, M;
MacIntyre-Cockett, G;
Trebes, A;
Andersson, M;
Otecko, N;
Wise, EL;
Moore, N;
et al.
Lythgoe, KA; Hall, M; Ferretti, L; de Cesare, M; MacIntyre-Cockett, G; Trebes, A; Andersson, M; Otecko, N; Wise, EL; Moore, N; Lynch, J; Kidd, S; Cortes, N; Mori, M; Williams, R; Vernet, G; Justice, A; Green, A; Nicholls, SM; Ansari, MA; Abeler-Dörner, L; Moore, CE; Peto, TEA; Eyre, DW; Shaw, R; Simmonds, P; Buck, D; Todd, JA; Oxford Virus Sequencing Analysis Group (OVSG); Connor, TR; Ashraf, S; da Silva Filipe, A; Shepherd, J; Thomson, EC; COVID-19 Genomics UK (COG-UK) Consortium; Bonsall, D; Fraser, C; Golubchik, T
(2021)
SARS-CoV-2 within-host diversity and transmission.
Science, 372 (6539).
ISSN 1095-9203
https://doi.org/10.1126/science.abg0821
SGUL Authors: Moore, Catrin Elisabeth
Abstract
Extensive global sampling and sequencing of the pandemic virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have enabled researchers to monitor its spread and to identify concerning new variants. Two important determinants of variant spread are how frequently they arise within individuals and how likely they are to be transmitted. To characterize within-host diversity and transmission, we deep-sequenced 1313 clinical samples from the United Kingdom. SARS-CoV-2 infections are characterized by low levels of within-host diversity when viral loads are high and by a narrow bottleneck at transmission. Most variants are either lost or occasionally fixed at the point of transmission, with minimal persistence of shared diversity, patterns that are readily observable on the phylogenetic tree. Our results suggest that transmission-enhancing and/or immune-escape SARS-CoV-2 variants are likely to arise infrequently but could spread rapidly if successfully transmitted.
Item Type: |
Article
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Additional Information: |
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
https://creativecommons.org/licenses/by/4.0/
This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: |
COVID-19, Coinfection, Coronavirus Infections, Coronavirus OC43, Human, Family Characteristics, Genetic Variation, Genome, Viral, Humans, Immune Evasion, Mutation, Phylogeny, RNA, Viral, RNA-Seq, SARS-CoV-2, Selection, Genetic, Spike Glycoprotein, Coronavirus, United Kingdom, Viral Load, Oxford Virus Sequencing Analysis Group (OVSG), COVID-19 Genomics UK (COG-UK) Consortium, Humans, Coronavirus OC43, Human, Coronavirus Infections, RNA, Viral, Viral Load, Family Characteristics, Phylogeny, Mutation, Genome, Viral, Genetic Variation, Selection, Genetic, Immune Evasion, Coinfection, Spike Glycoprotein, Coronavirus, United Kingdom, RNA-Seq, COVID-19, SARS-CoV-2, General Science & Technology |
SGUL Research Institute / Research Centre: |
Academic Structure > Infection and Immunity Research Institute (INII) |
Journal or Publication Title: |
Science |
ISSN: |
1095-9203 |
Language: |
eng |
Dates: |
Date | Event |
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16 April 2021 | Published | 9 March 2021 | Published Online | 3 March 2021 | Accepted |
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Publisher License: |
Creative Commons: Attribution 4.0 |
Projects: |
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PubMed ID: |
33688063 |
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Go to PubMed abstract |
URI: |
https://openaccess.sgul.ac.uk/id/eprint/114449 |
Publisher's version: |
https://doi.org/10.1126/science.abg0821 |
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