The global spread of 2019-nCoV: a molecular evolutionary analysis
Identifieur interne : 000029 ( Pmc/Checkpoint ); précédent : 000028; suivant : 000030The global spread of 2019-nCoV: a molecular evolutionary analysis
Auteurs : Domenico Benvenuto [Italie] ; Marta Giovanetti [Brésil] ; Marco Salemi [États-Unis] ; Mattia Prosperi [États-Unis] ; Cecilia De Flora [Italie] ; Luiz Carlos Junior Alcantara [Brésil] ; Silvia Angeletti [Italie] ; Massimo Ciccozzi [Brésil]Source :
- Pathogens and Global Health [ 2047-7724 ] ; 2020.
Abstract
The global spread of the 2019-nCoV is continuing and is fast moving, as indicated by the WHO raising the risk assessment to high. In this article, we provide a preliminary phylodynamic and phylogeographic analysis of this new virus. A Maximum Clade Credibility tree has been built using the 29 available whole genome sequences of 2019-nCoV and two whole genome sequences that are highly similar sequences from Bat SARS-like Coronavirus available in GeneBank. We are able to clarify the mechanism of transmission among the countries which have provided the 2019-nCoV sequence isolates from their patients. The Bayesian phylogeographic reconstruction shows that the 2019–2020 nCoV most probably originated from the Bat SARS-like Coronavirus circulating in the
Url:
DOI: 10.1080/20477724.2020.1725339
PubMed: 32048560
PubMed Central: 7099638
Affiliations:
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PMC:7099638Le document en format XML
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<series><title level="j">Pathogens and Global Health</title>
<idno type="ISSN">2047-7724</idno>
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<front><div type="abstract" xml:lang="en"><title>ABSTRACT</title>
<p>The global spread of the 2019-nCoV is continuing and is fast moving, as indicated by the WHO raising the risk assessment to high. In this article, we provide a preliminary phylodynamic and phylogeographic analysis of this new virus. A Maximum Clade Credibility tree has been built using the 29 available whole genome sequences of 2019-nCoV and two whole genome sequences that are highly similar sequences from Bat SARS-like Coronavirus available in GeneBank. We are able to clarify the mechanism of transmission among the countries which have provided the 2019-nCoV sequence isolates from their patients. The Bayesian phylogeographic reconstruction shows that the 2019–2020 nCoV most probably originated from the Bat SARS-like Coronavirus circulating in the <italic>Rhinolophus</italic>
bat family. In agreement with epidemiological observations, the most likely geographic origin of the new outbreak was the city of Wuhan, China, where 2019-nCoV time of the most recent common ancestor emerged, according to molecular clock analysis, around November 25<sup>th</sup>
, 2019. These results, together with previously recorded epidemics, suggest a recurring pattern of periodical epizootic outbreaks due to <italic>Betacoronavirus</italic>
. Moreover, our study describes the same population genetic dynamic underlying the SARS 2003 epidemic, and suggests the urgent need for the development of effective molecular surveillance strategies of <italic>Betacoronavirus</italic>
among animals and <italic>Rhinolophus</italic>
of the bat family.</p>
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<front><journal-meta><journal-id journal-id-type="nlm-ta">Pathog Glob Health</journal-id>
<journal-id journal-id-type="iso-abbrev">Pathog Glob Health</journal-id>
<journal-id journal-id-type="publisher-id">YPGH</journal-id>
<journal-id journal-id-type="publisher-id">ypgh20</journal-id>
<journal-title-group><journal-title>Pathogens and Global Health</journal-title>
</journal-title-group>
<issn pub-type="ppub">2047-7724</issn>
<issn pub-type="epub">2047-7732</issn>
<publisher><publisher-name>Taylor & Francis</publisher-name>
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<article-id pub-id-type="doi">10.1080/20477724.2020.1725339</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>The global spread of 2019-nCoV: a molecular evolutionary analysis</article-title>
<alt-title alt-title-type="running-authors">D. BENVENUTO ET AL.</alt-title>
<alt-title alt-title-type="running-title">PATHOGENS AND GLOBAL HEALTH</alt-title>
</title-group>
<contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-3833-2927</contrib-id>
<name><surname>Benvenuto</surname>
<given-names>Domenico</given-names>
</name>
<xref ref-type="aff" rid="AFF0001"><sup>a</sup>
</xref>
<xref ref-type="author-notes" rid="FT0001"><sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Giovanetti</surname>
<given-names>Marta</given-names>
</name>
<xref ref-type="aff" rid="AFF0002"><sup>b</sup>
</xref>
<xref ref-type="author-notes" rid="FT0001"><sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Salemi</surname>
<given-names>Marco</given-names>
</name>
<xref ref-type="aff" rid="AFF0003"><sup>c</sup>
</xref>
<xref ref-type="aff" rid="AFF0004"><sup>d</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Prosperi</surname>
<given-names>Mattia</given-names>
</name>
<xref ref-type="aff" rid="AFF0003"><sup>c</sup>
</xref>
<xref ref-type="aff" rid="AFF0004"><sup>d</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>De Flora</surname>
<given-names>Cecilia</given-names>
</name>
<xref ref-type="aff" rid="AFF0001"><sup>a</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Junior Alcantara</surname>
<given-names>Luiz Carlos</given-names>
</name>
<xref ref-type="aff" rid="AFF0002"><sup>b</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Angeletti</surname>
<given-names>Silvia</given-names>
</name>
<xref ref-type="corresp" rid="AN0001"></xref>
<xref ref-type="aff" rid="AFF0005"><sup>e</sup>
</xref>
<xref ref-type="author-notes" rid="FT0001"><sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Ciccozzi</surname>
<given-names>Massimo</given-names>
</name>
<xref ref-type="aff" rid="AFF0002"><sup>b</sup>
</xref>
<xref ref-type="author-notes" rid="FT0001"><sup>*</sup>
</xref>
</contrib>
<aff id="AFF0001"><label>a</label>
<institution>Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome</institution>
,<country>Italy</country>
</aff>
<aff id="AFF0002"><label>b</label>
<institution>Laboratório de Flavivírus, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz</institution>
, Rio de Janeiro,<country>Brazil</country>
</aff>
<aff id="AFF0003"><label>c</label>
<institution>Department of Epidemiology, University of Florida</institution>
, Gainesville, FL,<country>USA</country>
</aff>
<aff id="AFF0004"><label>d</label>
<institution>Emerging Pathogens Institute, University of Florida</institution>
, Gainesville, FL,<country>USA</country>
</aff>
<aff id="AFF0005"><label>e</label>
<institution>Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome</institution>
,<country>Italy</country>
</aff>
</contrib-group>
<author-notes><corresp id="AN0001">CONTACT Silvia Angeletti <email xlink:href="s.angeletti@unicampus.it">s.angeletti@unicampus.it</email>
<institution>Unit of Clinical Laboratory Science, University Campus Bio-Medico of Rome</institution>
, <country>Italy</country>
</corresp>
<fn id="FT0001"><label>*</label>
<p>These authors contributed equally to this article</p>
</fn>
</author-notes>
<pub-date pub-type="collection"><year>2020</year>
</pub-date>
<pub-date pub-type="epub"><day>12</day>
<month>2</month>
<year>2020</year>
</pub-date>
<volume>0</volume>
<issue>0</issue>
<fpage seq="1">1</fpage>
<lpage>4</lpage>
<permissions><copyright-statement>© 2020 Informa UK Limited, trading as Taylor & Francis Group</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Informa UK Limited, trading as Taylor & Francis Group</copyright-holder>
<license><license-p>This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="YPGH_0_1725339.pdf"></self-uri>
<abstract><title>ABSTRACT</title>
<p>The global spread of the 2019-nCoV is continuing and is fast moving, as indicated by the WHO raising the risk assessment to high. In this article, we provide a preliminary phylodynamic and phylogeographic analysis of this new virus. A Maximum Clade Credibility tree has been built using the 29 available whole genome sequences of 2019-nCoV and two whole genome sequences that are highly similar sequences from Bat SARS-like Coronavirus available in GeneBank. We are able to clarify the mechanism of transmission among the countries which have provided the 2019-nCoV sequence isolates from their patients. The Bayesian phylogeographic reconstruction shows that the 2019–2020 nCoV most probably originated from the Bat SARS-like Coronavirus circulating in the <italic>Rhinolophus</italic>
bat family. In agreement with epidemiological observations, the most likely geographic origin of the new outbreak was the city of Wuhan, China, where 2019-nCoV time of the most recent common ancestor emerged, according to molecular clock analysis, around November 25<sup>th</sup>
, 2019. These results, together with previously recorded epidemics, suggest a recurring pattern of periodical epizootic outbreaks due to <italic>Betacoronavirus</italic>
. Moreover, our study describes the same population genetic dynamic underlying the SARS 2003 epidemic, and suggests the urgent need for the development of effective molecular surveillance strategies of <italic>Betacoronavirus</italic>
among animals and <italic>Rhinolophus</italic>
of the bat family.</p>
</abstract>
<kwd-group kwd-group-type="author"><title>KEYWORDS</title>
<kwd>2019-nCoV</kwd>
<kwd>molecular Epidemiology</kwd>
<kwd>phylogeny</kwd>
<kwd>SARS</kwd>
</kwd-group>
<counts><fig-count count="1"></fig-count>
<ref-count count="16"></ref-count>
<page-count count="4"></page-count>
</counts>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>Brésil</li>
<li>Italie</li>
<li>États-Unis</li>
</country>
</list>
<tree><country name="Italie"><noRegion><name sortKey="Benvenuto, Domenico" sort="Benvenuto, Domenico" uniqKey="Benvenuto D" first="Domenico" last="Benvenuto">Domenico Benvenuto</name>
</noRegion>
<name sortKey="Angeletti, Silvia" sort="Angeletti, Silvia" uniqKey="Angeletti S" first="Silvia" last="Angeletti">Silvia Angeletti</name>
<name sortKey="De Flora, Cecilia" sort="De Flora, Cecilia" uniqKey="De Flora C" first="Cecilia" last="De Flora">Cecilia De Flora</name>
</country>
<country name="Brésil"><noRegion><name sortKey="Giovanetti, Marta" sort="Giovanetti, Marta" uniqKey="Giovanetti M" first="Marta" last="Giovanetti">Marta Giovanetti</name>
</noRegion>
<name sortKey="Ciccozzi, Massimo" sort="Ciccozzi, Massimo" uniqKey="Ciccozzi M" first="Massimo" last="Ciccozzi">Massimo Ciccozzi</name>
<name sortKey="Junior Alcantara, Luiz Carlos" sort="Junior Alcantara, Luiz Carlos" uniqKey="Junior Alcantara L" first="Luiz Carlos" last="Junior Alcantara">Luiz Carlos Junior Alcantara</name>
</country>
<country name="États-Unis"><noRegion><name sortKey="Salemi, Marco" sort="Salemi, Marco" uniqKey="Salemi M" first="Marco" last="Salemi">Marco Salemi</name>
</noRegion>
<name sortKey="Prosperi, Mattia" sort="Prosperi, Mattia" uniqKey="Prosperi M" first="Mattia" last="Prosperi">Mattia Prosperi</name>
<name sortKey="Prosperi, Mattia" sort="Prosperi, Mattia" uniqKey="Prosperi M" first="Mattia" last="Prosperi">Mattia Prosperi</name>
<name sortKey="Salemi, Marco" sort="Salemi, Marco" uniqKey="Salemi M" first="Marco" last="Salemi">Marco Salemi</name>
</country>
</tree>
</affiliations>
</record>
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