Diversity and evolution of the animal virome View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-01-04

AUTHORS

Erin Harvey, Edward C. Holmes

ABSTRACT

The COVID-19 pandemic has given the study of virus evolution and ecology new relevance. Although viruses were first identified more than a century ago, we likely know less about their diversity than that of any other biological entity. Most documented animal viruses have been sampled from just two phyla — the Chordata and the Arthropoda — with a strong bias towards viruses that infect humans or animals of economic and social importance, often in association with strong disease phenotypes. Fortunately, the recent development of unbiased metagenomic next-generation sequencing is providing a richer view of the animal virome and shedding new light on virus evolution. In this Review, we explore our changing understanding of the diversity, composition and evolution of the animal virome. We outline the factors that determine the phylogenetic diversity and genomic structure of animal viruses on evolutionary timescales and show how this impacts assessment of the risk of disease emergence in the short term. We also describe the ongoing challenges in metagenomic analysis and outline key themes for future research. A central question is how major events in the evolutionary history of animals, such as the origin of the vertebrates and periodic mass extinction events, have shaped the diversity and evolution of the viruses they carry. More... »

PAGES

321-334

References to SciGraph publications

  • 2016-07-08. Mechanisms of viral mutation in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2021-04-07. Sensitive protein alignments at tree-of-life scale using DIAMOND in NATURE METHODS
  • 2008-07-03. Viral membrane fusion in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2015-01-29. Genetic Adaptation of Influenza A Viruses in Domestic Animals and Their Potential Role in Interspecies Transmission: A Literature Review in ECOHEALTH
  • 2020-03-26. Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins in NATURE
  • 2021-07-06. Changes to virus taxonomy and to the International Code of Virus Classification and Nomenclature ratified by the International Committee on Taxonomy of Viruses (2021) in ARCHIVES OF VIROLOGY
  • 2020-04-14. Sustained RNA virome diversity in Antarctic penguins and their ticks in THE ISME JOURNAL: MULTIDISCIPLINARY JOURNAL OF MICROBIAL ECOLOGY
  • 2009-12-08. Origin and evolution of the adaptive immune system: genetic events and selective pressures in NATURE REVIEWS GENETICS
  • 2018-06-07. Pandemics: spend on surveillance, not prediction in NATURE
  • 2020-01-28. Gene gain and loss across the metazoan tree of life in NATURE ECOLOGY & EVOLUTION
  • 2021-01-25. Loss of furin cleavage site attenuates SARS-CoV-2 pathogenesis in NATURE
  • 2020-07-09. SARS-CoV-2 and bat RaTG13 spike glycoprotein structures inform on virus evolution and furin-cleavage effects in NATURE STRUCTURAL & MOLECULAR BIOLOGY
  • 2020-05-08. Predicting the global mammalian viral sharing network using phylogeography in NATURE COMMUNICATIONS
  • 2016-11-23. Redefining the invertebrate RNA virosphere in NATURE
  • 2020-02-20. Ebola virus disease in NATURE REVIEWS DISEASE PRIMERS
  • 2021-04-01. The virome of German bats: comparing virus discovery approaches in SCIENTIFIC REPORTS
  • 2018-04-04. The evolutionary history of vertebrate RNA viruses in NATURE
  • 2020-02-03. A new coronavirus associated with human respiratory disease in China in NATURE
  • 2019-06-10. Global estimates of mammalian viral diversity accounting for host sharing in NATURE ECOLOGY & EVOLUTION
  • 2021-01-20. Lessons from the host defences of bats, a unique viral reservoir in NATURE
  • 2007. Henipaviruses: Emerging Paramyxoviruses Associated with Fruit Bats in WILDLIFE AND EMERGING ZOONOTIC DISEASES: THE BIOLOGY, CIRCUMSTANCES AND CONSEQUENCES OF CROSS-SPECIES TRANSMISSION
  • 2020-08-25. Origin and cross-species transmission of bat coronaviruses in China in NATURE COMMUNICATIONS
  • 2017-06-21. Host and viral traits predict zoonotic spillover from mammals in NATURE
  • 2020-06-11. Bat-borne virus diversity, spillover and emergence in NATURE REVIEWS MICROBIOLOGY
  • 2017-05-30. Pathways to zoonotic spillover in NATURE REVIEWS MICROBIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41579-021-00665-x

    DOI

    http://dx.doi.org/10.1038/s41579-021-00665-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1144392291

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34983966


    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/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0603", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Evolutionary Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Genetics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0608", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Zoology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Animals", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "COVID-19", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Viral", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pandemics", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phylogeny", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Virome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Viruses", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "School of Medical Sciences, University of Sydney, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1013.3", 
              "name": [
                "Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia", 
                "School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia", 
                "School of Medical Sciences, University of Sydney, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Harvey", 
            "givenName": "Erin", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Medical Sciences, University of Sydney, Sydney, NSW, Australia", 
              "id": "http://www.grid.ac/institutes/grid.1013.3", 
              "name": [
                "Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia", 
                "School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia", 
                "School of Medical Sciences, University of Sydney, Sydney, NSW, Australia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Holmes", 
            "givenName": "Edward C.", 
            "id": "sg:person.012501436222.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012501436222.04"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "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/nature22975", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086107929", 
              "https://doi.org/10.1038/nature22975"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro.2017.45", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085710700", 
              "https://doi.org/10.1038/nrmicro.2017.45"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nsmb.1456", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026188926", 
              "https://doi.org/10.1038/nsmb.1456"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00705-021-05156-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1139456506", 
              "https://doi.org/10.1007/s00705-021-05156-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10393-014-1004-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045068004", 
              "https://doi.org/10.1007/s10393-014-1004-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/d41586-018-05373-w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104468713", 
              "https://doi.org/10.1038/d41586-018-05373-w"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41467-020-16153-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127455133", 
              "https://doi.org/10.1038/s41467-020-16153-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41559-019-0910-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1117018366", 
              "https://doi.org/10.1038/s41559-019-0910-6"
            ], 
            "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/s41592-021-01101-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1136978421", 
              "https://doi.org/10.1038/s41592-021-01101-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41579-020-0394-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1128389656", 
              "https://doi.org/10.1038/s41579-020-0394-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41396-020-0643-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1126645175", 
              "https://doi.org/10.1038/s41396-020-0643-1"
            ], 
            "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"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-70962-6_7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012457713", 
              "https://doi.org/10.1007/978-3-540-70962-6_7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41572-020-0147-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1125020468", 
              "https://doi.org/10.1038/s41572-020-0147-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41559-019-1069-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1124341868", 
              "https://doi.org/10.1038/s41559-019-1069-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-021-03237-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1134844904", 
              "https://doi.org/10.1038/s41586-021-03237-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature20167", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024156938", 
              "https://doi.org/10.1038/nature20167"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2703", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032587038", 
              "https://doi.org/10.1038/nrg2703"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00018-016-2299-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043173513", 
              "https://doi.org/10.1007/s00018-016-2299-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-018-0012-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101862110", 
              "https://doi.org/10.1038/s41586-018-0012-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41594-020-0468-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1129101726", 
              "https://doi.org/10.1038/s41594-020-0468-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-020-03128-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1134703407", 
              "https://doi.org/10.1038/s41586-020-03128-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-021-86435-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1136848664", 
              "https://doi.org/10.1038/s41598-021-86435-4"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-01-04", 
        "datePublishedReg": "2022-01-04", 
        "description": "The COVID-19 pandemic has given the study of virus evolution and ecology new relevance. Although viruses were first identified more than a century ago, we likely know less about their diversity than that of any other biological entity. Most documented animal viruses have been sampled from just two phyla \u2014 the Chordata and the Arthropoda \u2014 with a strong bias towards viruses that infect humans or animals of economic and social importance, often in association with strong disease phenotypes. Fortunately, the recent development of unbiased metagenomic next-generation sequencing is providing a richer view of the animal virome and shedding new light on virus evolution. In this Review, we explore our changing understanding of the diversity, composition and evolution of the animal virome. We outline the factors that determine the phylogenetic diversity and genomic structure of animal viruses on evolutionary timescales and show how this impacts assessment of the risk of disease emergence in the short term. We also describe the ongoing challenges in metagenomic analysis and outline key themes for future research. A central question is how major events in the evolutionary history of animals, such as the origin of the vertebrates and periodic mass extinction events, have shaped the diversity and evolution of the viruses they carry.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41579-021-00665-x", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1032854", 
            "issn": [
              "1740-1526", 
              "1740-1534"
            ], 
            "name": "Nature Reviews Microbiology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "20"
          }
        ], 
        "keywords": [
          "virus evolution", 
          "animal viruses", 
          "mass extinction event", 
          "phylogenetic diversity", 
          "genomic structure", 
          "evolutionary timescales", 
          "evolutionary history", 
          "next-generation sequencing", 
          "metagenomic analysis", 
          "extinction event", 
          "disease emergence", 
          "unbiased metagenomic next-generation sequencing", 
          "virome", 
          "diversity", 
          "disease phenotype", 
          "biological entities", 
          "strong bias", 
          "Chordata", 
          "vertebrates", 
          "phyla", 
          "Arthropoda", 
          "evolution", 
          "virus", 
          "new light", 
          "sequencing", 
          "phenotype", 
          "animals", 
          "major events", 
          "central question", 
          "humans", 
          "events", 
          "recent developments", 
          "origin", 
          "metagenomic next-generation sequencing", 
          "understanding", 
          "composition", 
          "social importance", 
          "emergence", 
          "development", 
          "importance", 
          "light", 
          "structure", 
          "short term", 
          "factors", 
          "ongoing challenge", 
          "timescales", 
          "association", 
          "analysis", 
          "review", 
          "relevance", 
          "future research", 
          "study", 
          "new relevance", 
          "history", 
          "questions", 
          "century", 
          "challenges", 
          "research", 
          "richer view", 
          "view", 
          "bias", 
          "entities", 
          "assessment", 
          "terms", 
          "risk", 
          "themes", 
          "pandemic", 
          "COVID-19 pandemic", 
          "key themes"
        ], 
        "name": "Diversity and evolution of the animal virome", 
        "pagination": "321-334", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1144392291"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41579-021-00665-x"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "34983966"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41579-021-00665-x", 
          "https://app.dimensions.ai/details/publication/pub.1144392291"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-08-04T17:10", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_943.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41579-021-00665-x"
      }
    ]
     

    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.10.1038/s41579-021-00665-x'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41579-021-00665-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41579-021-00665-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41579-021-00665-x'


     

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

    278 TRIPLES      21 PREDICATES      129 URIs      94 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41579-021-00665-x schema:about N224ae46896384e80a0e8a74901549bf5
    2 N50af4cab9f6b4a849f3dd00e45e6f002
    3 Na4ae03eabd714ef8b638ae0f57f6ee25
    4 Nbe556f02781844a9a922dcec76f51e96
    5 Nd3c264347fec439c9fc1b352aefb30b4
    6 Ne0681dd07b134dd4831a29118d2f8ec5
    7 Ned308d1672d8496781628ab86c62a4da
    8 Nfec2693579c14ceaa2c3d0c235becdfa
    9 anzsrc-for:06
    10 anzsrc-for:0603
    11 anzsrc-for:0604
    12 anzsrc-for:0608
    13 schema:author N9a33735ad9f94e519816ae923416de30
    14 schema:citation sg:pub.10.1007/978-3-540-70962-6_7
    15 sg:pub.10.1007/s00018-016-2299-6
    16 sg:pub.10.1007/s00705-021-05156-1
    17 sg:pub.10.1007/s10393-014-1004-1
    18 sg:pub.10.1038/d41586-018-05373-w
    19 sg:pub.10.1038/nature20167
    20 sg:pub.10.1038/nature22975
    21 sg:pub.10.1038/nrg2703
    22 sg:pub.10.1038/nrmicro.2017.45
    23 sg:pub.10.1038/nsmb.1456
    24 sg:pub.10.1038/s41396-020-0643-1
    25 sg:pub.10.1038/s41467-020-16153-4
    26 sg:pub.10.1038/s41467-020-17687-3
    27 sg:pub.10.1038/s41559-019-0910-6
    28 sg:pub.10.1038/s41559-019-1069-x
    29 sg:pub.10.1038/s41572-020-0147-3
    30 sg:pub.10.1038/s41579-020-0394-z
    31 sg:pub.10.1038/s41586-018-0012-7
    32 sg:pub.10.1038/s41586-020-03128-0
    33 sg:pub.10.1038/s41586-020-2008-3
    34 sg:pub.10.1038/s41586-020-2169-0
    35 sg:pub.10.1038/s41586-021-03237-4
    36 sg:pub.10.1038/s41592-021-01101-x
    37 sg:pub.10.1038/s41594-020-0468-7
    38 sg:pub.10.1038/s41598-021-86435-4
    39 schema:datePublished 2022-01-04
    40 schema:datePublishedReg 2022-01-04
    41 schema:description The COVID-19 pandemic has given the study of virus evolution and ecology new relevance. Although viruses were first identified more than a century ago, we likely know less about their diversity than that of any other biological entity. Most documented animal viruses have been sampled from just two phyla — the Chordata and the Arthropoda — with a strong bias towards viruses that infect humans or animals of economic and social importance, often in association with strong disease phenotypes. Fortunately, the recent development of unbiased metagenomic next-generation sequencing is providing a richer view of the animal virome and shedding new light on virus evolution. In this Review, we explore our changing understanding of the diversity, composition and evolution of the animal virome. We outline the factors that determine the phylogenetic diversity and genomic structure of animal viruses on evolutionary timescales and show how this impacts assessment of the risk of disease emergence in the short term. We also describe the ongoing challenges in metagenomic analysis and outline key themes for future research. A central question is how major events in the evolutionary history of animals, such as the origin of the vertebrates and periodic mass extinction events, have shaped the diversity and evolution of the viruses they carry.
    42 schema:genre article
    43 schema:isAccessibleForFree true
    44 schema:isPartOf N3ea29bef766345dabfd65f5a51c518ae
    45 Ncc3f9fb15bdf45ac959003285b76c9d6
    46 sg:journal.1032854
    47 schema:keywords Arthropoda
    48 COVID-19 pandemic
    49 Chordata
    50 analysis
    51 animal viruses
    52 animals
    53 assessment
    54 association
    55 bias
    56 biological entities
    57 central question
    58 century
    59 challenges
    60 composition
    61 development
    62 disease emergence
    63 disease phenotype
    64 diversity
    65 emergence
    66 entities
    67 events
    68 evolution
    69 evolutionary history
    70 evolutionary timescales
    71 extinction event
    72 factors
    73 future research
    74 genomic structure
    75 history
    76 humans
    77 importance
    78 key themes
    79 light
    80 major events
    81 mass extinction event
    82 metagenomic analysis
    83 metagenomic next-generation sequencing
    84 new light
    85 new relevance
    86 next-generation sequencing
    87 ongoing challenge
    88 origin
    89 pandemic
    90 phenotype
    91 phyla
    92 phylogenetic diversity
    93 questions
    94 recent developments
    95 relevance
    96 research
    97 review
    98 richer view
    99 risk
    100 sequencing
    101 short term
    102 social importance
    103 strong bias
    104 structure
    105 study
    106 terms
    107 themes
    108 timescales
    109 unbiased metagenomic next-generation sequencing
    110 understanding
    111 vertebrates
    112 view
    113 virome
    114 virus
    115 virus evolution
    116 schema:name Diversity and evolution of the animal virome
    117 schema:pagination 321-334
    118 schema:productId N1e8d054970914d01a56b991ef327fa4a
    119 Nc22828cb6a3c41238e4c3fc8fbafd866
    120 Ncf7949d8e4b748fe87b51a09c5529490
    121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1144392291
    122 https://doi.org/10.1038/s41579-021-00665-x
    123 schema:sdDatePublished 2022-08-04T17:10
    124 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    125 schema:sdPublisher N4f3837569aa74d3fa51d1d7828baccac
    126 schema:url https://doi.org/10.1038/s41579-021-00665-x
    127 sgo:license sg:explorer/license/
    128 sgo:sdDataset articles
    129 rdf:type schema:ScholarlyArticle
    130 N1e8d054970914d01a56b991ef327fa4a schema:name doi
    131 schema:value 10.1038/s41579-021-00665-x
    132 rdf:type schema:PropertyValue
    133 N224ae46896384e80a0e8a74901549bf5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Phylogeny
    135 rdf:type schema:DefinedTerm
    136 N3ea29bef766345dabfd65f5a51c518ae schema:volumeNumber 20
    137 rdf:type schema:PublicationVolume
    138 N4f3837569aa74d3fa51d1d7828baccac schema:name Springer Nature - SN SciGraph project
    139 rdf:type schema:Organization
    140 N50af4cab9f6b4a849f3dd00e45e6f002 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Pandemics
    142 rdf:type schema:DefinedTerm
    143 N6a39d56c2c2041e385517146cf3771ca schema:affiliation grid-institutes:grid.1013.3
    144 schema:familyName Harvey
    145 schema:givenName Erin
    146 rdf:type schema:Person
    147 N9a33735ad9f94e519816ae923416de30 rdf:first N6a39d56c2c2041e385517146cf3771ca
    148 rdf:rest Nebf9541d42854063bfbe79b7f8fb62ff
    149 Na4ae03eabd714ef8b638ae0f57f6ee25 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name COVID-19
    151 rdf:type schema:DefinedTerm
    152 Nbe556f02781844a9a922dcec76f51e96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Humans
    154 rdf:type schema:DefinedTerm
    155 Nc22828cb6a3c41238e4c3fc8fbafd866 schema:name pubmed_id
    156 schema:value 34983966
    157 rdf:type schema:PropertyValue
    158 Ncc3f9fb15bdf45ac959003285b76c9d6 schema:issueNumber 6
    159 rdf:type schema:PublicationIssue
    160 Ncf7949d8e4b748fe87b51a09c5529490 schema:name dimensions_id
    161 schema:value pub.1144392291
    162 rdf:type schema:PropertyValue
    163 Nd3c264347fec439c9fc1b352aefb30b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Animals
    165 rdf:type schema:DefinedTerm
    166 Ne0681dd07b134dd4831a29118d2f8ec5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Virome
    168 rdf:type schema:DefinedTerm
    169 Nebf9541d42854063bfbe79b7f8fb62ff rdf:first sg:person.012501436222.04
    170 rdf:rest rdf:nil
    171 Ned308d1672d8496781628ab86c62a4da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Genome, Viral
    173 rdf:type schema:DefinedTerm
    174 Nfec2693579c14ceaa2c3d0c235becdfa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Viruses
    176 rdf:type schema:DefinedTerm
    177 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    178 schema:name Biological Sciences
    179 rdf:type schema:DefinedTerm
    180 anzsrc-for:0603 schema:inDefinedTermSet anzsrc-for:
    181 schema:name Evolutionary Biology
    182 rdf:type schema:DefinedTerm
    183 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    184 schema:name Genetics
    185 rdf:type schema:DefinedTerm
    186 anzsrc-for:0608 schema:inDefinedTermSet anzsrc-for:
    187 schema:name Zoology
    188 rdf:type schema:DefinedTerm
    189 sg:journal.1032854 schema:issn 1740-1526
    190 1740-1534
    191 schema:name Nature Reviews Microbiology
    192 schema:publisher Springer Nature
    193 rdf:type schema:Periodical
    194 sg:person.012501436222.04 schema:affiliation grid-institutes:grid.1013.3
    195 schema:familyName Holmes
    196 schema:givenName Edward C.
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012501436222.04
    198 rdf:type schema:Person
    199 sg:pub.10.1007/978-3-540-70962-6_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012457713
    200 https://doi.org/10.1007/978-3-540-70962-6_7
    201 rdf:type schema:CreativeWork
    202 sg:pub.10.1007/s00018-016-2299-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043173513
    203 https://doi.org/10.1007/s00018-016-2299-6
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1007/s00705-021-05156-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139456506
    206 https://doi.org/10.1007/s00705-021-05156-1
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1007/s10393-014-1004-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045068004
    209 https://doi.org/10.1007/s10393-014-1004-1
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/d41586-018-05373-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1104468713
    212 https://doi.org/10.1038/d41586-018-05373-w
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/nature20167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024156938
    215 https://doi.org/10.1038/nature20167
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1038/nature22975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086107929
    218 https://doi.org/10.1038/nature22975
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/nrg2703 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032587038
    221 https://doi.org/10.1038/nrg2703
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1038/nrmicro.2017.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085710700
    224 https://doi.org/10.1038/nrmicro.2017.45
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1038/nsmb.1456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026188926
    227 https://doi.org/10.1038/nsmb.1456
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/s41396-020-0643-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1126645175
    230 https://doi.org/10.1038/s41396-020-0643-1
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/s41467-020-16153-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127455133
    233 https://doi.org/10.1038/s41467-020-16153-4
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/s41467-020-17687-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1130310001
    236 https://doi.org/10.1038/s41467-020-17687-3
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1038/s41559-019-0910-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1117018366
    239 https://doi.org/10.1038/s41559-019-0910-6
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1038/s41559-019-1069-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1124341868
    242 https://doi.org/10.1038/s41559-019-1069-x
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1038/s41572-020-0147-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125020468
    245 https://doi.org/10.1038/s41572-020-0147-3
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1038/s41579-020-0394-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1128389656
    248 https://doi.org/10.1038/s41579-020-0394-z
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1038/s41586-018-0012-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101862110
    251 https://doi.org/10.1038/s41586-018-0012-7
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1038/s41586-020-03128-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1134703407
    254 https://doi.org/10.1038/s41586-020-03128-0
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1038/s41586-020-2008-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1124545567
    257 https://doi.org/10.1038/s41586-020-2008-3
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1038/s41586-020-2169-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1125900810
    260 https://doi.org/10.1038/s41586-020-2169-0
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1038/s41586-021-03237-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1134844904
    263 https://doi.org/10.1038/s41586-021-03237-4
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/s41592-021-01101-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1136978421
    266 https://doi.org/10.1038/s41592-021-01101-x
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/s41594-020-0468-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1129101726
    269 https://doi.org/10.1038/s41594-020-0468-7
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/s41598-021-86435-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136848664
    272 https://doi.org/10.1038/s41598-021-86435-4
    273 rdf:type schema:CreativeWork
    274 grid-institutes:grid.1013.3 schema:alternateName School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
    275 schema:name School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
    276 School of Medical Sciences, University of Sydney, Sydney, NSW, Australia
    277 Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia
    278 rdf:type schema:Organization
     




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


    ...