Tracing the origins of SARS-COV-2 in coronavirus phylogenies: a review View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-02-04

AUTHORS

Erwan Sallard, José Halloy, Didier Casane, Etienne Decroly, Jacques van Helden

ABSTRACT

SARS-CoV-2 is a new human coronavirus (CoV), which emerged in China in late 2019 and is responsible for the global COVID-19 pandemic that caused more than 97 million infections and 2 million deaths in 12 months. Understanding the origin of this virus is an important issue, and it is necessary to determine the mechanisms of viral dissemination in order to contain future epidemics. Based on phylogenetic inferences, sequence analysis and structure-function relationships of coronavirus proteins, informed by the knowledge currently available on the virus, we discuss the different scenarios on the origin-natural or synthetic-of the virus. The data currently available are not sufficient to firmly assert whether SARS-CoV2 results from a zoonotic emergence or from an accidental escape of a laboratory strain. This question needs to be solved because it has important consequences on the risk/benefit balance of our interactions with ecosystems, on intensive breeding of wild and domestic animals, on some laboratory practices and on scientific policy and biosafety regulations. Regardless of COVID-19 origin, studying the evolution of the molecular mechanisms involved in the emergence of pandemic viruses is essential to develop therapeutic and vaccine strategies and to prevent future zoonoses. This article is a translation and update of a French article published in Médecine/Sciences, August/September 2020 (10.1051/medsci/2020123). Supplementary Information: The online version of this article (10.1007/s10311-020-01151-1) contains supplementary material, which is available to authorized users. More... »

PAGES

1-17

References to SciGraph publications

  • 2016-02-18. Coexistence of multiple coronaviruses in several bat colonies in an abandoned mineshaft in VIROLOGICA SINICA
  • 2020-07-31. A palindromic RNA sequence as a common breakpoint contributor to copy-choice recombination in SARS-COV-2 in ARCHIVES OF VIROLOGY
  • 2015-11-09. A SARS-like cluster of circulating bat coronaviruses shows potential for human emergence in NATURE MEDICINE
  • 2020-08-25. Origin and cross-species transmission of bat coronaviruses in China in NATURE COMMUNICATIONS
  • 2017-07-12. Idiosyncratic Mòjiāng virus attachment glycoprotein directs a host-cell entry pathway distinct from genetically related henipaviruses in NATURE COMMUNICATIONS
  • 2020-02-24. Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses in NATURE MICROBIOLOGY
  • 2020-12-02. Meet the scientists investigating the origins of the COVID pandemic in NATURE
  • 2020-03-26. Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins in NATURE
  • 2020-03-17. The proximal origin of SARS-CoV-2 in NATURE MEDICINE
  • 2009-11-24. From where did the 2009 'swine-origin' influenza A virus (H1N1) emerge? in VIROLOGY JOURNAL
  • 2012-05-02. Experimental adaptation of an influenza H5 haemagglutinin (HA) confers respiratory droplet transmission to a reassortant H5 HA/H1N1 virus in ferrets in NATURE
  • 2020-05-04. Rapid reconstruction of SARS-CoV-2 using a synthetic genomics platform in NATURE
  • 2020-02-03. A new coronavirus associated with human respiratory disease in China in NATURE
  • 2020-09. No Evidence of Coronaviruses or Other Potentially Zoonotic Viruses in Sunda pangolins (Manis javanica) Entering the Wildlife Trade via Malaysia in ECOHEALTH
  • 2018-12-10. Origin and evolution of pathogenic coronaviruses in NATURE REVIEWS MICROBIOLOGY
  • 2020-05-07. Isolation of SARS-CoV-2-related coronavirus from Malayan pangolins in NATURE
  • <error retrieving object. in <ERROR RETRIEVING OBJECT
  • 2020-11-17. Addendum: A pneumonia outbreak associated with a new coronavirus of probable bat origin in NATURE
  • 2020-03-30. Structural basis of receptor recognition by SARS-CoV-2 in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10311-020-01151-1

    DOI

    http://dx.doi.org/10.1007/s10311-020-01151-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1135100200

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33558807


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Environmental Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "\u00c9cole Normale Sup\u00e9rieure de Paris, 45 rue d\u2019Ulm, 75005 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.5607.4", 
              "name": [
                "\u00c9cole Normale Sup\u00e9rieure de Paris, 45 rue d\u2019Ulm, 75005 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sallard", 
            "givenName": "Erwan", 
            "id": "sg:person.014460324761.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014460324761.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universit\u00e9 de Paris, CNRS, LIED UMR 8236, 85 bd Saint-Germain, 75006 Paris, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Universit\u00e9 de Paris, CNRS, LIED UMR 8236, 85 bd Saint-Germain, 75006 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Halloy", 
            "givenName": "Jos\u00e9", 
            "id": "sg:person.0602014663.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602014663.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universit\u00e9 de Paris, UFR Sciences du Vivant, 75013 Paris, France", 
              "id": "http://www.grid.ac/institutes/grid.508487.6", 
              "name": [
                "Universit\u00e9 Paris-Saclay, CNRS, IRD, UMR \u00c9volution, G\u00e9nomes, Comportement et \u00c9cologie, 91198 Gif-sur-Yvette, France", 
                "Universit\u00e9 de Paris, UFR Sciences du Vivant, 75013 Paris, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Casane", 
            "givenName": "Didier", 
            "id": "sg:person.0763476537.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763476537.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Aix-Marseille Univ, CNRS, UMR 7257, AFMB, Case 925, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France", 
              "id": "http://www.grid.ac/institutes/grid.463764.4", 
              "name": [
                "Aix-Marseille Univ, CNRS, UMR 7257, AFMB, Case 925, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Decroly", 
            "givenName": "Etienne", 
            "id": "sg:person.01332723167.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332723167.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Aix-Marseille Univ, INSERM, Lab. Theory and Approaches of Genome Complexity (TAGC), Marseille, France", 
              "id": "http://www.grid.ac/institutes/grid.5399.6", 
              "name": [
                "CNRS, Institut Fran\u00e7ais de Bioinformatique, IFB-core, UMS 3601, Evry, France", 
                "Aix-Marseille Univ, INSERM, Lab. Theory and Approaches of Genome Complexity (TAGC), Marseille, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "van Helden", 
            "givenName": "Jacques", 
            "id": "sg:person.0626672543.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672543.46"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/ncomms16060", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090610741", 
              "https://doi.org/10.1038/ncomms16060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2313-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127420105", 
              "https://doi.org/10.1038/s41586-020-2313-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12250-016-3713-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036268155", 
              "https://doi.org/10.1007/s12250-016-3713-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1743-422x-6-207", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041633878", 
              "https://doi.org/10.1186/1743-422x-6-207"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nm.3985", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024782211", 
              "https://doi.org/10.1038/nm.3985"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/d41586-020-03402-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1133125820", 
              "https://doi.org/10.1038/d41586-020-03402-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00705-020-04750-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1129787592", 
              "https://doi.org/10.1007/s00705-020-04750-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2012-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1124545162", 
              "https://doi.org/10.1038/s41586-020-2012-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2008-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1124545567", 
              "https://doi.org/10.1038/s41586-020-2008-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-020-17687-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1130310001", 
              "https://doi.org/10.1038/s41467-020-17687-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2951-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1132680457", 
              "https://doi.org/10.1038/s41586-020-2951-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2179-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125975630", 
              "https://doi.org/10.1038/s41586-020-2179-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2294-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127346056", 
              "https://doi.org/10.1038/s41586-020-2294-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41579-018-0118-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110510319", 
              "https://doi.org/10.1038/s41579-018-0118-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature10831", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024992198", 
              "https://doi.org/10.1038/nature10831"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41591-020-0820-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125686004", 
              "https://doi.org/10.1038/s41591-020-0820-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41564-020-0688-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125089278", 
              "https://doi.org/10.1038/s41564-020-0688-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10393-020-01503-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1132846742", 
              "https://doi.org/10.1007/s10393-020-01503-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-2169-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125900810", 
              "https://doi.org/10.1038/s41586-020-2169-0"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-02-04", 
        "datePublishedReg": "2021-02-04", 
        "description": "SARS-CoV-2 is a new human coronavirus (CoV), which emerged in China in late 2019 and is responsible for the global COVID-19 pandemic that caused more than 97 million infections and 2 million deaths in 12\u00a0months. Understanding the origin of this virus is an important issue, and it is necessary to determine the mechanisms of viral dissemination in order to contain future epidemics. Based on phylogenetic inferences, sequence analysis and structure-function relationships of coronavirus proteins, informed by the knowledge currently available on the virus, we discuss the different scenarios on the origin-natural or synthetic-of the virus. The data currently available are not sufficient to firmly assert whether SARS-CoV2 results from a zoonotic emergence or from an accidental escape of a laboratory strain. This question needs to be solved because it has important consequences on the risk/benefit balance of our interactions with ecosystems, on intensive breeding of wild and domestic animals, on some laboratory practices and on scientific policy and biosafety regulations. Regardless of COVID-19 origin, studying the evolution of the molecular mechanisms involved in the emergence of pandemic viruses is essential to develop therapeutic and vaccine strategies and to prevent future zoonoses. This article is a translation and update of a French article published in M\u00e9decine/Sciences, August/September 2020 (10.1051/medsci/2020123).\nSupplementary Information: The online version of this article (10.1007/s10311-020-01151-1) contains supplementary material, which is available to authorized users.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10311-020-01151-1", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1033923", 
            "issn": [
              "1610-3653", 
              "1610-3661"
            ], 
            "name": "Environmental Chemistry Letters", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "19"
          }
        ], 
        "keywords": [
          "structure-function relationships", 
          "phylogenetic inference", 
          "future zoonoses", 
          "accidental escape", 
          "molecular mechanisms", 
          "sequence analysis", 
          "intensive breeding", 
          "zoonotic emergence", 
          "coronavirus proteins", 
          "domestic animals", 
          "laboratory strains", 
          "biosafety regulations", 
          "Coronavirus phylogeny", 
          "important consequences", 
          "phylogeny", 
          "virus", 
          "breeding", 
          "ecosystems", 
          "protein", 
          "viral dissemination", 
          "regulation", 
          "new human coronavirus", 
          "origin", 
          "mechanism", 
          "SARS-CoV-2", 
          "human coronaviruses", 
          "COVID-19 origin", 
          "translation", 
          "strains", 
          "emergence", 
          "pandemic virus", 
          "evolution", 
          "animals", 
          "interaction", 
          "zoonosis", 
          "escape", 
          "future epidemics", 
          "death", 
          "consequences", 
          "coronavirus", 
          "benefit balance", 
          "inference", 
          "Supplementary materials", 
          "infection", 
          "analysis", 
          "balance", 
          "review", 
          "strategies", 
          "knowledge", 
          "relationship", 
          "China", 
          "data", 
          "dissemination", 
          "results", 
          "online version", 
          "questions", 
          "vaccine strategies", 
          "epidemic", 
          "order", 
          "update", 
          "laboratory practice", 
          "scenarios", 
          "different scenarios", 
          "science", 
          "important issue", 
          "authorized users", 
          "global COVID-19 pandemic", 
          "materials", 
          "version", 
          "article", 
          "issues", 
          "scientific policy", 
          "months", 
          "risk/benefit balance", 
          "pandemic", 
          "French articles", 
          "practice", 
          "COVID-19 pandemic", 
          "users", 
          "policy", 
          "SARS-CoV2 results", 
          "M\u00e9decine/Sciences"
        ], 
        "name": "Tracing the origins of SARS-COV-2 in coronavirus phylogenies: a review", 
        "pagination": "1-17", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1135100200"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10311-020-01151-1"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "33558807"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10311-020-01151-1", 
          "https://app.dimensions.ai/details/publication/pub.1135100200"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T19:03", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_917.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10311-020-01151-1"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10311-020-01151-1'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10311-020-01151-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10311-020-01151-1'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10311-020-01151-1'


     

    This table displays all metadata directly associated to this object as RDF triples.

    266 TRIPLES      22 PREDICATES      127 URIs      99 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10311-020-01151-1 schema:about anzsrc-for:03
    2 anzsrc-for:05
    3 anzsrc-for:06
    4 schema:author N16a8d592a82f4dbea1d33bea2d080c97
    5 schema:citation sg:pub.10.1007/s00705-020-04750-z
    6 sg:pub.10.1007/s10393-020-01503-x
    7 sg:pub.10.1007/s12250-016-3713-9
    8 sg:pub.10.1038/d41586-020-03402-1
    9 sg:pub.10.1038/nature10831
    10 sg:pub.10.1038/ncomms16060
    11 sg:pub.10.1038/nm.3985
    12 sg:pub.10.1038/s41467-020-17687-3
    13 sg:pub.10.1038/s41564-020-0688-y
    14 sg:pub.10.1038/s41579-018-0118-9
    15 sg:pub.10.1038/s41586-020-2008-3
    16 sg:pub.10.1038/s41586-020-2012-7
    17 sg:pub.10.1038/s41586-020-2169-0
    18 sg:pub.10.1038/s41586-020-2179-y
    19 sg:pub.10.1038/s41586-020-2294-9
    20 sg:pub.10.1038/s41586-020-2313-x
    21 sg:pub.10.1038/s41586-020-2951-z
    22 sg:pub.10.1038/s41591-020-0820-9
    23 sg:pub.10.1186/1743-422x-6-207
    24 schema:datePublished 2021-02-04
    25 schema:datePublishedReg 2021-02-04
    26 schema:description SARS-CoV-2 is a new human coronavirus (CoV), which emerged in China in late 2019 and is responsible for the global COVID-19 pandemic that caused more than 97 million infections and 2 million deaths in 12 months. Understanding the origin of this virus is an important issue, and it is necessary to determine the mechanisms of viral dissemination in order to contain future epidemics. Based on phylogenetic inferences, sequence analysis and structure-function relationships of coronavirus proteins, informed by the knowledge currently available on the virus, we discuss the different scenarios on the origin-natural or synthetic-of the virus. The data currently available are not sufficient to firmly assert whether SARS-CoV2 results from a zoonotic emergence or from an accidental escape of a laboratory strain. This question needs to be solved because it has important consequences on the risk/benefit balance of our interactions with ecosystems, on intensive breeding of wild and domestic animals, on some laboratory practices and on scientific policy and biosafety regulations. Regardless of COVID-19 origin, studying the evolution of the molecular mechanisms involved in the emergence of pandemic viruses is essential to develop therapeutic and vaccine strategies and to prevent future zoonoses. This article is a translation and update of a French article published in Médecine/Sciences, August/September 2020 (10.1051/medsci/2020123). Supplementary Information: The online version of this article (10.1007/s10311-020-01151-1) contains supplementary material, which is available to authorized users.
    27 schema:genre article
    28 schema:inLanguage en
    29 schema:isAccessibleForFree true
    30 schema:isPartOf N1d1142f1b1f4436d9791420613b45a47
    31 N3eee405be6f043d6b2a33f93d2770e25
    32 sg:journal.1033923
    33 schema:keywords COVID-19 origin
    34 COVID-19 pandemic
    35 China
    36 Coronavirus phylogeny
    37 French articles
    38 Médecine/Sciences
    39 SARS-CoV-2
    40 SARS-CoV2 results
    41 Supplementary materials
    42 accidental escape
    43 analysis
    44 animals
    45 article
    46 authorized users
    47 balance
    48 benefit balance
    49 biosafety regulations
    50 breeding
    51 consequences
    52 coronavirus
    53 coronavirus proteins
    54 data
    55 death
    56 different scenarios
    57 dissemination
    58 domestic animals
    59 ecosystems
    60 emergence
    61 epidemic
    62 escape
    63 evolution
    64 future epidemics
    65 future zoonoses
    66 global COVID-19 pandemic
    67 human coronaviruses
    68 important consequences
    69 important issue
    70 infection
    71 inference
    72 intensive breeding
    73 interaction
    74 issues
    75 knowledge
    76 laboratory practice
    77 laboratory strains
    78 materials
    79 mechanism
    80 molecular mechanisms
    81 months
    82 new human coronavirus
    83 online version
    84 order
    85 origin
    86 pandemic
    87 pandemic virus
    88 phylogenetic inference
    89 phylogeny
    90 policy
    91 practice
    92 protein
    93 questions
    94 regulation
    95 relationship
    96 results
    97 review
    98 risk/benefit balance
    99 scenarios
    100 science
    101 scientific policy
    102 sequence analysis
    103 strains
    104 strategies
    105 structure-function relationships
    106 translation
    107 update
    108 users
    109 vaccine strategies
    110 version
    111 viral dissemination
    112 virus
    113 zoonosis
    114 zoonotic emergence
    115 schema:name Tracing the origins of SARS-COV-2 in coronavirus phylogenies: a review
    116 schema:pagination 1-17
    117 schema:productId N0e027ddfb093476ab6ca27807880d06b
    118 N3b78d681e05a45bf92663c1f5fd33e8d
    119 N5823682247b04d64bf3d3dfddf37d9bd
    120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135100200
    121 https://doi.org/10.1007/s10311-020-01151-1
    122 schema:sdDatePublished 2022-01-01T19:03
    123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    124 schema:sdPublisher N93f3974c69b3437897d04112388887a0
    125 schema:url https://doi.org/10.1007/s10311-020-01151-1
    126 sgo:license sg:explorer/license/
    127 sgo:sdDataset articles
    128 rdf:type schema:ScholarlyArticle
    129 N0e027ddfb093476ab6ca27807880d06b schema:name pubmed_id
    130 schema:value 33558807
    131 rdf:type schema:PropertyValue
    132 N16a8d592a82f4dbea1d33bea2d080c97 rdf:first sg:person.014460324761.89
    133 rdf:rest Ndf9c9432f64647199d0b80e0c671a291
    134 N1d1142f1b1f4436d9791420613b45a47 schema:volumeNumber 19
    135 rdf:type schema:PublicationVolume
    136 N3a992bf1b8b64ae2a426a895c2e298a1 rdf:first sg:person.0626672543.46
    137 rdf:rest rdf:nil
    138 N3b78d681e05a45bf92663c1f5fd33e8d schema:name dimensions_id
    139 schema:value pub.1135100200
    140 rdf:type schema:PropertyValue
    141 N3eee405be6f043d6b2a33f93d2770e25 schema:issueNumber 2
    142 rdf:type schema:PublicationIssue
    143 N5823682247b04d64bf3d3dfddf37d9bd schema:name doi
    144 schema:value 10.1007/s10311-020-01151-1
    145 rdf:type schema:PropertyValue
    146 N8ca9230bba6f4143ae6f38da859ca02c rdf:first sg:person.01332723167.63
    147 rdf:rest N3a992bf1b8b64ae2a426a895c2e298a1
    148 N93f3974c69b3437897d04112388887a0 schema:name Springer Nature - SN SciGraph project
    149 rdf:type schema:Organization
    150 N9821ccbe00844c6292a1283cd1a34fd1 rdf:first sg:person.0763476537.74
    151 rdf:rest N8ca9230bba6f4143ae6f38da859ca02c
    152 Ndf9c9432f64647199d0b80e0c671a291 rdf:first sg:person.0602014663.52
    153 rdf:rest N9821ccbe00844c6292a1283cd1a34fd1
    154 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    155 schema:name Chemical Sciences
    156 rdf:type schema:DefinedTerm
    157 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
    158 schema:name Environmental Sciences
    159 rdf:type schema:DefinedTerm
    160 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    161 schema:name Biological Sciences
    162 rdf:type schema:DefinedTerm
    163 sg:journal.1033923 schema:issn 1610-3653
    164 1610-3661
    165 schema:name Environmental Chemistry Letters
    166 schema:publisher Springer Nature
    167 rdf:type schema:Periodical
    168 sg:person.01332723167.63 schema:affiliation grid-institutes:grid.463764.4
    169 schema:familyName Decroly
    170 schema:givenName Etienne
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332723167.63
    172 rdf:type schema:Person
    173 sg:person.014460324761.89 schema:affiliation grid-institutes:grid.5607.4
    174 schema:familyName Sallard
    175 schema:givenName Erwan
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014460324761.89
    177 rdf:type schema:Person
    178 sg:person.0602014663.52 schema:affiliation grid-institutes:None
    179 schema:familyName Halloy
    180 schema:givenName José
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602014663.52
    182 rdf:type schema:Person
    183 sg:person.0626672543.46 schema:affiliation grid-institutes:grid.5399.6
    184 schema:familyName van Helden
    185 schema:givenName Jacques
    186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626672543.46
    187 rdf:type schema:Person
    188 sg:person.0763476537.74 schema:affiliation grid-institutes:grid.508487.6
    189 schema:familyName Casane
    190 schema:givenName Didier
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763476537.74
    192 rdf:type schema:Person
    193 sg:pub.10.1007/s00705-020-04750-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1129787592
    194 https://doi.org/10.1007/s00705-020-04750-z
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1007/s10393-020-01503-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1132846742
    197 https://doi.org/10.1007/s10393-020-01503-x
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1007/s12250-016-3713-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036268155
    200 https://doi.org/10.1007/s12250-016-3713-9
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1038/d41586-020-03402-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1133125820
    203 https://doi.org/10.1038/d41586-020-03402-1
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/nature10831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024992198
    206 https://doi.org/10.1038/nature10831
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/ncomms16060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090610741
    209 https://doi.org/10.1038/ncomms16060
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/nm.3985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024782211
    212 https://doi.org/10.1038/nm.3985
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/s41467-020-17687-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130310001
    215 https://doi.org/10.1038/s41467-020-17687-3
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1038/s41564-020-0688-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1125089278
    218 https://doi.org/10.1038/s41564-020-0688-y
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/s41579-018-0118-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110510319
    221 https://doi.org/10.1038/s41579-018-0118-9
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1038/s41586-020-2008-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124545567
    224 https://doi.org/10.1038/s41586-020-2008-3
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1038/s41586-020-2012-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124545162
    227 https://doi.org/10.1038/s41586-020-2012-7
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/s41586-020-2169-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125900810
    230 https://doi.org/10.1038/s41586-020-2169-0
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/s41586-020-2179-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1125975630
    233 https://doi.org/10.1038/s41586-020-2179-y
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/s41586-020-2294-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127346056
    236 https://doi.org/10.1038/s41586-020-2294-9
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/s41586-020-2313-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1127420105
    239 https://doi.org/10.1038/s41586-020-2313-x
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/s41586-020-2951-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1132680457
    242 https://doi.org/10.1038/s41586-020-2951-z
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/s41591-020-0820-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125686004
    245 https://doi.org/10.1038/s41591-020-0820-9
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1186/1743-422x-6-207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041633878
    248 https://doi.org/10.1186/1743-422x-6-207
    249 rdf:type schema:CreativeWork
    250 grid-institutes:None schema:alternateName Université de Paris, CNRS, LIED UMR 8236, 85 bd Saint-Germain, 75006 Paris, France
    251 schema:name Université de Paris, CNRS, LIED UMR 8236, 85 bd Saint-Germain, 75006 Paris, France
    252 rdf:type schema:Organization
    253 grid-institutes:grid.463764.4 schema:alternateName Aix-Marseille Univ, CNRS, UMR 7257, AFMB, Case 925, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France
    254 schema:name Aix-Marseille Univ, CNRS, UMR 7257, AFMB, Case 925, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France
    255 rdf:type schema:Organization
    256 grid-institutes:grid.508487.6 schema:alternateName Université de Paris, UFR Sciences du Vivant, 75013 Paris, France
    257 schema:name Université Paris-Saclay, CNRS, IRD, UMR Évolution, Génomes, Comportement et Écologie, 91198 Gif-sur-Yvette, France
    258 Université de Paris, UFR Sciences du Vivant, 75013 Paris, France
    259 rdf:type schema:Organization
    260 grid-institutes:grid.5399.6 schema:alternateName Aix-Marseille Univ, INSERM, Lab. Theory and Approaches of Genome Complexity (TAGC), Marseille, France
    261 schema:name Aix-Marseille Univ, INSERM, Lab. Theory and Approaches of Genome Complexity (TAGC), Marseille, France
    262 CNRS, Institut Français de Bioinformatique, IFB-core, UMS 3601, Evry, France
    263 rdf:type schema:Organization
    264 grid-institutes:grid.5607.4 schema:alternateName École Normale Supérieure de Paris, 45 rue d’Ulm, 75005 Paris, France
    265 schema:name École Normale Supérieure de Paris, 45 rue d’Ulm, 75005 Paris, France
    266 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...