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Emergence of genomic diversity and recurrent mutations in SARS-CoV-2.

Identifieur interne : 001051 ( Main/Exploration ); précédent : 001050; suivant : 001052

Emergence of genomic diversity and recurrent mutations in SARS-CoV-2.

Auteurs : Lucy Van Dorp [Royaume-Uni] ; Mislav Acman [Royaume-Uni] ; Damien Richard [France] ; Liam P. Shaw [Royaume-Uni] ; Charlotte E. Ford [Royaume-Uni] ; Louise Ormond [Royaume-Uni] ; Christopher J. Owen [Royaume-Uni] ; Juanita Pang [Royaume-Uni] ; Cedric C S. Tan [Royaume-Uni] ; Florencia A T. Boshier [Royaume-Uni] ; Arturo Torres Ortiz [Royaume-Uni] ; François Balloux [Royaume-Uni]

Source :

RBID : pubmed:32387564

Descripteurs français

English descriptors

Abstract

SARS-CoV-2 is a SARS-like coronavirus of likely zoonotic origin first identified in December 2019 in Wuhan, the capital of China's Hubei province. The virus has since spread globally, resulting in the currently ongoing COVID-19 pandemic. The first whole genome sequence was published on January 5 2020, and thousands of genomes have been sequenced since this date. This resource allows unprecedented insights into the past demography of SARS-CoV-2 but also monitoring of how the virus is adapting to its novel human host, providing information to direct drug and vaccine design. We curated a dataset of 7666 public genome assemblies and analysed the emergence of genomic diversity over time. Our results are in line with previous estimates and point to all sequences sharing a common ancestor towards the end of 2019, supporting this as the period when SARS-CoV-2 jumped into its human host. Due to extensive transmission, the genetic diversity of the virus in several countries recapitulates a large fraction of its worldwide genetic diversity. We identify regions of the SARS-CoV-2 genome that have remained largely invariant to date, and others that have already accumulated diversity. By focusing on mutations which have emerged independently multiple times (homoplasies), we identify 198 filtered recurrent mutations in the SARS-CoV-2 genome. Nearly 80% of the recurrent mutations produced non-synonymous changes at the protein level, suggesting possible ongoing adaptation of SARS-CoV-2. Three sites in Orf1ab in the regions encoding Nsp6, Nsp11, Nsp13, and one in the Spike protein are characterised by a particularly large number of recurrent mutations (>15 events) which may signpost convergent evolution and are of particular interest in the context of adaptation of SARS-CoV-2 to the human host. We additionally provide an interactive user-friendly web-application to query the alignment of the 7666 SARS-CoV-2 genomes.

DOI: 10.1016/j.meegid.2020.104351
PubMed: 32387564
PubMed Central: PMC7199730


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<name sortKey="Boshier, Florencia A T" sort="Boshier, Florencia A T" uniqKey="Boshier F" first="Florencia A T" last="Boshier">Florencia A T. Boshier</name>
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<term>Adaptation, Physiological (genetics)</term>
<term>Antiviral Agents (MeSH)</term>
<term>Betacoronavirus (genetics)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Coronavirus Infections (virology)</term>
<term>Genetic Variation (MeSH)</term>
<term>Genome, Viral (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Likelihood Functions (MeSH)</term>
<term>Mutation (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Phylogeny (MeSH)</term>
<term>Pneumonia, Viral (virology)</term>
<term>Viral Vaccines (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adaptation physiologique (génétique)</term>
<term>Antiviraux (MeSH)</term>
<term>Betacoronavirus (génétique)</term>
<term>Fonctions de vraisemblance (MeSH)</term>
<term>Génome viral (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (prévention et contrôle)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Mutation (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Phylogenèse (MeSH)</term>
<term>Pneumopathie virale (virologie)</term>
<term>Vaccins antiviraux (MeSH)</term>
<term>Variation génétique (MeSH)</term>
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<term>Antiviral Agents</term>
<term>Viral Vaccines</term>
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<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<term>Coronavirus Infections</term>
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<term>Genetic Variation</term>
<term>Genome, Viral</term>
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<div type="abstract" xml:lang="en">SARS-CoV-2 is a SARS-like coronavirus of likely zoonotic origin first identified in December 2019 in Wuhan, the capital of China's Hubei province. The virus has since spread globally, resulting in the currently ongoing COVID-19 pandemic. The first whole genome sequence was published on January 5 2020, and thousands of genomes have been sequenced since this date. This resource allows unprecedented insights into the past demography of SARS-CoV-2 but also monitoring of how the virus is adapting to its novel human host, providing information to direct drug and vaccine design. We curated a dataset of 7666 public genome assemblies and analysed the emergence of genomic diversity over time. Our results are in line with previous estimates and point to all sequences sharing a common ancestor towards the end of 2019, supporting this as the period when SARS-CoV-2 jumped into its human host. Due to extensive transmission, the genetic diversity of the virus in several countries recapitulates a large fraction of its worldwide genetic diversity. We identify regions of the SARS-CoV-2 genome that have remained largely invariant to date, and others that have already accumulated diversity. By focusing on mutations which have emerged independently multiple times (homoplasies), we identify 198 filtered recurrent mutations in the SARS-CoV-2 genome. Nearly 80% of the recurrent mutations produced non-synonymous changes at the protein level, suggesting possible ongoing adaptation of SARS-CoV-2. Three sites in Orf1ab in the regions encoding Nsp6, Nsp11, Nsp13, and one in the Spike protein are characterised by a particularly large number of recurrent mutations (>15 events) which may signpost convergent evolution and are of particular interest in the context of adaptation of SARS-CoV-2 to the human host. We additionally provide an interactive user-friendly web-application to query the alignment of the 7666 SARS-CoV-2 genomes.</div>
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<Title>Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases</Title>
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<ArticleTitle>Emergence of genomic diversity and recurrent mutations in SARS-CoV-2.</ArticleTitle>
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<AbstractText>SARS-CoV-2 is a SARS-like coronavirus of likely zoonotic origin first identified in December 2019 in Wuhan, the capital of China's Hubei province. The virus has since spread globally, resulting in the currently ongoing COVID-19 pandemic. The first whole genome sequence was published on January 5 2020, and thousands of genomes have been sequenced since this date. This resource allows unprecedented insights into the past demography of SARS-CoV-2 but also monitoring of how the virus is adapting to its novel human host, providing information to direct drug and vaccine design. We curated a dataset of 7666 public genome assemblies and analysed the emergence of genomic diversity over time. Our results are in line with previous estimates and point to all sequences sharing a common ancestor towards the end of 2019, supporting this as the period when SARS-CoV-2 jumped into its human host. Due to extensive transmission, the genetic diversity of the virus in several countries recapitulates a large fraction of its worldwide genetic diversity. We identify regions of the SARS-CoV-2 genome that have remained largely invariant to date, and others that have already accumulated diversity. By focusing on mutations which have emerged independently multiple times (homoplasies), we identify 198 filtered recurrent mutations in the SARS-CoV-2 genome. Nearly 80% of the recurrent mutations produced non-synonymous changes at the protein level, suggesting possible ongoing adaptation of SARS-CoV-2. Three sites in Orf1ab in the regions encoding Nsp6, Nsp11, Nsp13, and one in the Spike protein are characterised by a particularly large number of recurrent mutations (>15 events) which may signpost convergent evolution and are of particular interest in the context of adaptation of SARS-CoV-2 to the human host. We additionally provide an interactive user-friendly web-application to query the alignment of the 7666 SARS-CoV-2 genomes.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier B.V. All rights reserved.</CopyrightInformation>
</Abstract>
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<LastName>van Dorp</LastName>
<ForeName>Lucy</ForeName>
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<Affiliation>UCL Genetics Institute, University College London, London WC1E 6BT, UK. Electronic address: lucy.dorp.12@ucl.ac.uk.</Affiliation>
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<Affiliation>UCL Genetics Institute, University College London, London WC1E 6BT, UK.</Affiliation>
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<Affiliation>Cirad, UMR PVBMT, F-97410, St Pierre, Réunion, France; Université de la Réunion, UMR PVBMT, F-97490, St Denis, Réunion, France.</Affiliation>
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<Affiliation>Nuffield Department of Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK.</Affiliation>
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<Initials>J</Initials>
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<Affiliation>UCL Genetics Institute, University College London, London WC1E 6BT, UK; Division of Infection and Immunity, University College London, London WC1E 6BT, UK.</Affiliation>
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<Affiliation>UCL Genetics Institute, University College London, London WC1E 6BT, UK.</Affiliation>
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<Initials>AT</Initials>
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<LastName>Balloux</LastName>
<ForeName>François</ForeName>
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<AffiliationInfo>
<Affiliation>UCL Genetics Institute, University College London, London WC1E 6BT, UK. Electronic address: f.balloux@ucl.ac.uk.</Affiliation>
</AffiliationInfo>
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<Month>05</Month>
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<CoiStatement>Declaration of Competing Interest The authors have no competing interests to declare.</CoiStatement>
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