Global phylogenetic analysis of Escherichia coli and plasmids carrying the mcr-1 gene indicates bacterial diversity but plasmid restriction View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Sébastien Matamoros, Jarne M. van Hattem, Maris S. Arcilla, Niels Willemse, Damian C. Melles, John Penders, Trung Nguyen Vinh, Ngo Thi Hoa, , Menno D. de Jong, Constance Schultsz

ABSTRACT

To understand the dynamics behind the worldwide spread of the mcr-1 gene, we determined the population structure of Escherichia coli and of mobile genetic elements (MGEs) carrying the mcr-1 gene. After a systematic review of the literature we included 65 E. coli whole genome sequences (WGS), adding 6 recently sequenced travel related isolates, and 312 MLST profiles. We included 219 MGEs described in 7 Enterobacteriaceae species isolated from human, animal and environmental samples. Despite a high overall diversity, 2 lineages were observed in the E. coli population that may function as reservoirs of the mcr-1 gene, the largest of which was linked to ST10, a sequence type known for its ubiquity in human faecal samples and in food samples. No genotypic clustering by geographical origin or isolation source was observed. Amongst a total of 13 plasmid incompatibility types, the IncI2, IncX4 and IncHI2 plasmids accounted for more than 90% of MGEs carrying the mcr-1 gene. We observed significant geographical clustering with regional spread of IncHI2 plasmids in Europe and IncI2 in Asia. These findings point towards promiscuous spread of the mcr-1 gene by efficient horizontal gene transfer dominated by a limited number of plasmid incompatibility types. More... »

PAGES

15364

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-017-15539-7

DOI

http://dx.doi.org/10.1038/s41598-017-15539-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092558582

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29127343


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matamoros", 
        "givenName": "S\u00e9bastien", 
        "id": "sg:person.011017311603.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011017311603.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Hattem", 
        "givenName": "Jarne M.", 
        "id": "sg:person.01016007403.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016007403.45"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Arcilla", 
        "givenName": "Maris S.", 
        "id": "sg:person.01116205266.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116205266.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Willemse", 
        "givenName": "Niels", 
        "id": "sg:person.016711301271.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016711301271.50"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Melles", 
        "givenName": "Damian C.", 
        "id": "sg:person.01274032574.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274032574.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Maastricht University Medical Centre", 
          "id": "https://www.grid.ac/institutes/grid.412966.e", 
          "name": [
            "School for Nutrition and Translational Research in Metabolism (NUTRIM), MUMC, Maastricht, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Penders", 
        "givenName": "John", 
        "id": "sg:person.0755304552.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755304552.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oxford University Clinical Research Unit", 
          "id": "https://www.grid.ac/institutes/grid.412433.3", 
          "name": [
            "Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands", 
            "Department of Global Health-Amsterdam Institute for Global Health and Development, AMC, Amsterdam, The Netherlands", 
            "Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vinh", 
        "givenName": "Trung Nguyen", 
        "id": "sg:person.010266026637.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010266026637.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oxford", 
          "id": "https://www.grid.ac/institutes/grid.4991.5", 
          "name": [
            "Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam", 
            "Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thi Hoa", 
        "givenName": "Ngo", 
        "id": "sg:person.01204410113.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204410113.30"
        ], 
        "type": "Person"
      }, 
      {}, 
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Jong", 
        "givenName": "Menno D.", 
        "id": "sg:person.016656263502.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016656263502.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academic Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.5650.6", 
          "name": [
            "Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands", 
            "Department of Global Health-Amsterdam Institute for Global Health and Development, AMC, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schultsz", 
        "givenName": "Constance", 
        "id": "sg:person.01267410674.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267410674.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/molbev/mst028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000292919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btt086", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000520351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000848409"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.184.15.4168-4176.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002472101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijantimicag.2015.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002659839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/fpd.2014.1836", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003981032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbn013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005712277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.02412-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006748230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btv421", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009849942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1097(03)00441-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011877374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.2006.05172.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012203977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(15)00532-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012429139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid2209.160692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012633796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jcm.06094-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014979627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmi.2016.08.033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018493517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/cid/cis502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018649214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(13)70318-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018650635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.186.5.1518-1530.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019054615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(16)00007-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021727860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2014.00001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024719793"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(15)00424-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024838418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jac/dks261", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026041363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijantimicag.2009.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027409643"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jac/dks213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028204936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-12-402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028853462", 
          "https://doi.org/10.1186/1471-2164-12-402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-10-152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030831289", 
          "https://doi.org/10.1186/1471-2105-10-152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031501454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2014.00643", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031535766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1592/phco.30.12.1279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033967985"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature17042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038585164", 
          "https://doi.org/10.1038/nature17042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(16)00010-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041137204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(16)00009-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042153242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(15)00541-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042383708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042720804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jac/dkw274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048378930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mib.2015.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048693030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1473-3099(16)30319-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051092654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052513774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.diagmicrobio.2017.01.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053935717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/cmb.2012.0021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059246094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/mdr.2010.0063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059297744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jac/dkw074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059736213"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jac/dkw181", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059736300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jac/dkw335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059736432"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msv280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059923157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.00731-16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062709065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.01486-16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062709321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2807/1560-7917.es.2016.21.27.30280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070925933"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2807/1560-7917.es.2016.21.8.30144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070926055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2807/1560-7917.es.2016.21.9.30155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070926061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid2303.161553", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083519756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmicrobiol.2016.260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083686091", 
          "https://doi.org/10.1038/nmicrobiol.2016.260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aac.00056-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083854558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41598-017-00095-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084130236", 
          "https://doi.org/10.1038/s41598-017-00095-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.215087.116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084197434"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "To understand the dynamics behind the worldwide spread of the mcr-1 gene, we determined the population structure of Escherichia coli and of mobile genetic elements (MGEs) carrying the mcr-1 gene. After a systematic review of the literature we included 65 E. coli whole genome sequences (WGS), adding 6 recently sequenced travel related isolates, and 312 MLST profiles. We included 219 MGEs described in 7 Enterobacteriaceae species isolated from human, animal and environmental samples. Despite a high overall diversity, 2 lineages were observed in the E. coli population that may function as reservoirs of the mcr-1 gene, the largest of which was linked to ST10, a sequence type known for its ubiquity in human faecal samples and in food samples. No genotypic clustering by geographical origin or isolation source was observed. Amongst a total of 13 plasmid incompatibility types, the IncI2, IncX4 and IncHI2 plasmids accounted for more than 90% of MGEs carrying the mcr-1 gene. We observed significant geographical clustering with regional spread of IncHI2 plasmids in Europe and IncI2 in Asia. These findings point towards promiscuous spread of the mcr-1 gene by efficient horizontal gene transfer dominated by a limited number of plasmid incompatibility types.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-017-15539-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7573879", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.3939434", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Global phylogenetic analysis of Escherichia coli and plasmids carrying the mcr-1 gene indicates bacterial diversity but plasmid restriction", 
    "pagination": "15364", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d963558caecb9f2a4852352c4f947dd5649bbad4b32efe09a3f963944702571c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29127343"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-017-15539-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092558582"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-017-15539-7", 
      "https://app.dimensions.ai/details/publication/pub.1092558582"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8669_00000608.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-017-15539-7"
  }
]
 

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/s41598-017-15539-7'

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/s41598-017-15539-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-15539-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-15539-7'


 

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

318 TRIPLES      21 PREDICATES      84 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-017-15539-7 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Naddbcfefe09e411392e583a2b03cdb09
4 schema:citation sg:pub.10.1038/nature17042
5 sg:pub.10.1038/nmicrobiol.2016.260
6 sg:pub.10.1038/s41598-017-00095-x
7 sg:pub.10.1186/1471-2105-10-152
8 sg:pub.10.1186/1471-2164-12-402
9 https://doi.org/10.1016/j.cmi.2016.08.033
10 https://doi.org/10.1016/j.diagmicrobio.2017.01.007
11 https://doi.org/10.1016/j.ijantimicag.2009.03.006
12 https://doi.org/10.1016/j.ijantimicag.2015.06.005
13 https://doi.org/10.1016/j.mib.2015.07.004
14 https://doi.org/10.1016/s0378-1097(03)00441-5
15 https://doi.org/10.1016/s1473-3099(13)70318-9
16 https://doi.org/10.1016/s1473-3099(15)00424-7
17 https://doi.org/10.1016/s1473-3099(15)00532-0
18 https://doi.org/10.1016/s1473-3099(15)00541-1
19 https://doi.org/10.1016/s1473-3099(16)00007-4
20 https://doi.org/10.1016/s1473-3099(16)00009-8
21 https://doi.org/10.1016/s1473-3099(16)00010-4
22 https://doi.org/10.1016/s1473-3099(16)30319-x
23 https://doi.org/10.1089/cmb.2012.0021
24 https://doi.org/10.1089/fpd.2014.1836
25 https://doi.org/10.1089/mdr.2010.0063
26 https://doi.org/10.1093/bib/bbn013
27 https://doi.org/10.1093/bioinformatics/btt086
28 https://doi.org/10.1093/bioinformatics/btu033
29 https://doi.org/10.1093/bioinformatics/btu153
30 https://doi.org/10.1093/bioinformatics/btu170
31 https://doi.org/10.1093/bioinformatics/btv421
32 https://doi.org/10.1093/cid/cis502
33 https://doi.org/10.1093/jac/dks213
34 https://doi.org/10.1093/jac/dks261
35 https://doi.org/10.1093/jac/dkw074
36 https://doi.org/10.1093/jac/dkw181
37 https://doi.org/10.1093/jac/dkw274
38 https://doi.org/10.1093/jac/dkw335
39 https://doi.org/10.1093/molbev/mst028
40 https://doi.org/10.1093/molbev/msv280
41 https://doi.org/10.1093/nar/gkw290
42 https://doi.org/10.1101/gr.215087.116
43 https://doi.org/10.1111/j.1365-2958.2006.05172.x
44 https://doi.org/10.1128/aac.00056-17
45 https://doi.org/10.1128/aac.00731-16
46 https://doi.org/10.1128/aac.01486-16
47 https://doi.org/10.1128/aac.02412-14
48 https://doi.org/10.1128/jb.184.15.4168-4176.2002
49 https://doi.org/10.1128/jb.186.5.1518-1530.2004
50 https://doi.org/10.1128/jcm.06094-11
51 https://doi.org/10.1592/phco.30.12.1279
52 https://doi.org/10.2807/1560-7917.es.2016.21.27.30280
53 https://doi.org/10.2807/1560-7917.es.2016.21.8.30144
54 https://doi.org/10.2807/1560-7917.es.2016.21.9.30155
55 https://doi.org/10.3201/eid2209.160692
56 https://doi.org/10.3201/eid2303.161553
57 https://doi.org/10.3389/fmicb.2014.00001
58 https://doi.org/10.3389/fmicb.2014.00643
59 schema:datePublished 2017-12
60 schema:datePublishedReg 2017-12-01
61 schema:description To understand the dynamics behind the worldwide spread of the mcr-1 gene, we determined the population structure of Escherichia coli and of mobile genetic elements (MGEs) carrying the mcr-1 gene. After a systematic review of the literature we included 65 E. coli whole genome sequences (WGS), adding 6 recently sequenced travel related isolates, and 312 MLST profiles. We included 219 MGEs described in 7 Enterobacteriaceae species isolated from human, animal and environmental samples. Despite a high overall diversity, 2 lineages were observed in the E. coli population that may function as reservoirs of the mcr-1 gene, the largest of which was linked to ST10, a sequence type known for its ubiquity in human faecal samples and in food samples. No genotypic clustering by geographical origin or isolation source was observed. Amongst a total of 13 plasmid incompatibility types, the IncI2, IncX4 and IncHI2 plasmids accounted for more than 90% of MGEs carrying the mcr-1 gene. We observed significant geographical clustering with regional spread of IncHI2 plasmids in Europe and IncI2 in Asia. These findings point towards promiscuous spread of the mcr-1 gene by efficient horizontal gene transfer dominated by a limited number of plasmid incompatibility types.
62 schema:genre research_article
63 schema:inLanguage en
64 schema:isAccessibleForFree true
65 schema:isPartOf N201ec92148e14ff583d7f59e5af32d24
66 Nb483519ff4e74b8bae58b6e04e818342
67 sg:journal.1045337
68 schema:name Global phylogenetic analysis of Escherichia coli and plasmids carrying the mcr-1 gene indicates bacterial diversity but plasmid restriction
69 schema:pagination 15364
70 schema:productId N2d270bcdc77048b29084f57a80211a63
71 N53d1ebc584f54e8492aa04f0ad97d9af
72 N7d49509e44fb438ab85c86e57a6d1a8c
73 Nb8daf3ed0ea1418fb0fd10e528b4a961
74 Nf17e84375a994d9da1080fe88ea5d45b
75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092558582
76 https://doi.org/10.1038/s41598-017-15539-7
77 schema:sdDatePublished 2019-04-10T16:56
78 schema:sdLicense https://scigraph.springernature.com/explorer/license/
79 schema:sdPublisher N19d9a2c5f74c408a9a1d2fd0d9c0703f
80 schema:url https://www.nature.com/articles/s41598-017-15539-7
81 sgo:license sg:explorer/license/
82 sgo:sdDataset articles
83 rdf:type schema:ScholarlyArticle
84 N15228068202043b7ba1a724fbb136d39 rdf:first sg:person.0755304552.26
85 rdf:rest N988e3cf4dcda43f8ae8edbdb5859ef99
86 N16c228b532414cb49c677e0406250045 rdf:first N6b275ef31fa14431aa788dbf1627fae7
87 rdf:rest Ne3245300b3f149d2ba204211411b1d01
88 N19d9a2c5f74c408a9a1d2fd0d9c0703f schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N201ec92148e14ff583d7f59e5af32d24 schema:volumeNumber 7
91 rdf:type schema:PublicationVolume
92 N2d270bcdc77048b29084f57a80211a63 schema:name pubmed_id
93 schema:value 29127343
94 rdf:type schema:PropertyValue
95 N4c5bf1978a574b4f902eec3ec07e88a7 rdf:first sg:person.01274032574.11
96 rdf:rest N15228068202043b7ba1a724fbb136d39
97 N53d1ebc584f54e8492aa04f0ad97d9af schema:name dimensions_id
98 schema:value pub.1092558582
99 rdf:type schema:PropertyValue
100 N5cf26022ee7e4f8aad84824df9d9dd7e rdf:first sg:person.01267410674.86
101 rdf:rest rdf:nil
102 N6f2aa5b238784c3d9d3e88f15dc3a3a6 rdf:first sg:person.01116205266.09
103 rdf:rest N892ff7eaa8bd43ca9d500e9cee26e786
104 N7d49509e44fb438ab85c86e57a6d1a8c schema:name doi
105 schema:value 10.1038/s41598-017-15539-7
106 rdf:type schema:PropertyValue
107 N892ff7eaa8bd43ca9d500e9cee26e786 rdf:first sg:person.016711301271.50
108 rdf:rest N4c5bf1978a574b4f902eec3ec07e88a7
109 N8efeaa6d8ace4a359e30d86135c630d4 rdf:first sg:person.01204410113.30
110 rdf:rest N16c228b532414cb49c677e0406250045
111 N988e3cf4dcda43f8ae8edbdb5859ef99 rdf:first sg:person.010266026637.93
112 rdf:rest N8efeaa6d8ace4a359e30d86135c630d4
113 Naddbcfefe09e411392e583a2b03cdb09 rdf:first sg:person.011017311603.47
114 rdf:rest Nd72d488b8b8743dfb4702a112281551f
115 Nb483519ff4e74b8bae58b6e04e818342 schema:issueNumber 1
116 rdf:type schema:PublicationIssue
117 Nb8daf3ed0ea1418fb0fd10e528b4a961 schema:name nlm_unique_id
118 schema:value 101563288
119 rdf:type schema:PropertyValue
120 Nd72d488b8b8743dfb4702a112281551f rdf:first sg:person.01016007403.45
121 rdf:rest N6f2aa5b238784c3d9d3e88f15dc3a3a6
122 Ne3245300b3f149d2ba204211411b1d01 rdf:first sg:person.016656263502.44
123 rdf:rest N5cf26022ee7e4f8aad84824df9d9dd7e
124 Nf17e84375a994d9da1080fe88ea5d45b schema:name readcube_id
125 schema:value d963558caecb9f2a4852352c4f947dd5649bbad4b32efe09a3f963944702571c
126 rdf:type schema:PropertyValue
127 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
128 schema:name Biological Sciences
129 rdf:type schema:DefinedTerm
130 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
131 schema:name Genetics
132 rdf:type schema:DefinedTerm
133 sg:grant.3939434 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-017-15539-7
134 rdf:type schema:MonetaryGrant
135 sg:grant.7573879 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-017-15539-7
136 rdf:type schema:MonetaryGrant
137 sg:journal.1045337 schema:issn 2045-2322
138 schema:name Scientific Reports
139 rdf:type schema:Periodical
140 sg:person.01016007403.45 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
141 schema:familyName van Hattem
142 schema:givenName Jarne M.
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016007403.45
144 rdf:type schema:Person
145 sg:person.010266026637.93 schema:affiliation https://www.grid.ac/institutes/grid.412433.3
146 schema:familyName Vinh
147 schema:givenName Trung Nguyen
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010266026637.93
149 rdf:type schema:Person
150 sg:person.011017311603.47 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
151 schema:familyName Matamoros
152 schema:givenName Sébastien
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011017311603.47
154 rdf:type schema:Person
155 sg:person.01116205266.09 schema:familyName Arcilla
156 schema:givenName Maris S.
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116205266.09
158 rdf:type schema:Person
159 sg:person.01204410113.30 schema:affiliation https://www.grid.ac/institutes/grid.4991.5
160 schema:familyName Thi Hoa
161 schema:givenName Ngo
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204410113.30
163 rdf:type schema:Person
164 sg:person.01267410674.86 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
165 schema:familyName Schultsz
166 schema:givenName Constance
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267410674.86
168 rdf:type schema:Person
169 sg:person.01274032574.11 schema:familyName Melles
170 schema:givenName Damian C.
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274032574.11
172 rdf:type schema:Person
173 sg:person.016656263502.44 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
174 schema:familyName de Jong
175 schema:givenName Menno D.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016656263502.44
177 rdf:type schema:Person
178 sg:person.016711301271.50 schema:affiliation https://www.grid.ac/institutes/grid.5650.6
179 schema:familyName Willemse
180 schema:givenName Niels
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016711301271.50
182 rdf:type schema:Person
183 sg:person.0755304552.26 schema:affiliation https://www.grid.ac/institutes/grid.412966.e
184 schema:familyName Penders
185 schema:givenName John
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755304552.26
187 rdf:type schema:Person
188 sg:pub.10.1038/nature17042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038585164
189 https://doi.org/10.1038/nature17042
190 rdf:type schema:CreativeWork
191 sg:pub.10.1038/nmicrobiol.2016.260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083686091
192 https://doi.org/10.1038/nmicrobiol.2016.260
193 rdf:type schema:CreativeWork
194 sg:pub.10.1038/s41598-017-00095-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1084130236
195 https://doi.org/10.1038/s41598-017-00095-x
196 rdf:type schema:CreativeWork
197 sg:pub.10.1186/1471-2105-10-152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030831289
198 https://doi.org/10.1186/1471-2105-10-152
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/1471-2164-12-402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028853462
201 https://doi.org/10.1186/1471-2164-12-402
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.cmi.2016.08.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018493517
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/j.diagmicrobio.2017.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053935717
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1016/j.ijantimicag.2009.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027409643
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.ijantimicag.2015.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002659839
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.mib.2015.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048693030
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/s0378-1097(03)00441-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011877374
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/s1473-3099(13)70318-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018650635
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/s1473-3099(15)00424-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024838418
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/s1473-3099(15)00532-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012429139
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/s1473-3099(15)00541-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042383708
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/s1473-3099(16)00007-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021727860
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/s1473-3099(16)00009-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042153242
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/s1473-3099(16)00010-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041137204
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/s1473-3099(16)30319-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051092654
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1089/cmb.2012.0021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059246094
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1089/fpd.2014.1836 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003981032
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1089/mdr.2010.0063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059297744
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1093/bib/bbn013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005712277
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1093/bioinformatics/btt086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000520351
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1093/bioinformatics/btu033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000848409
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1093/bioinformatics/btu153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031501454
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1093/bioinformatics/btu170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042720804
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1093/bioinformatics/btv421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009849942
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1093/cid/cis502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018649214
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1093/jac/dks213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028204936
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1093/jac/dks261 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026041363
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1093/jac/dkw074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059736213
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1093/jac/dkw181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059736300
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1093/jac/dkw274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048378930
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1093/jac/dkw335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059736432
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/molbev/mst028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000292919
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1093/molbev/msv280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059923157
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1093/nar/gkw290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052513774
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1101/gr.215087.116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084197434
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1111/j.1365-2958.2006.05172.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012203977
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1128/aac.00056-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083854558
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1128/aac.00731-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062709065
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1128/aac.01486-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062709321
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1128/aac.02412-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006748230
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1128/jb.184.15.4168-4176.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002472101
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1128/jb.186.5.1518-1530.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019054615
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1128/jcm.06094-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014979627
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1592/phco.30.12.1279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033967985
288 rdf:type schema:CreativeWork
289 https://doi.org/10.2807/1560-7917.es.2016.21.27.30280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070925933
290 rdf:type schema:CreativeWork
291 https://doi.org/10.2807/1560-7917.es.2016.21.8.30144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070926055
292 rdf:type schema:CreativeWork
293 https://doi.org/10.2807/1560-7917.es.2016.21.9.30155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070926061
294 rdf:type schema:CreativeWork
295 https://doi.org/10.3201/eid2209.160692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012633796
296 rdf:type schema:CreativeWork
297 https://doi.org/10.3201/eid2303.161553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083519756
298 rdf:type schema:CreativeWork
299 https://doi.org/10.3389/fmicb.2014.00001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024719793
300 rdf:type schema:CreativeWork
301 https://doi.org/10.3389/fmicb.2014.00643 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031535766
302 rdf:type schema:CreativeWork
303 https://www.grid.ac/institutes/grid.412433.3 schema:alternateName Oxford University Clinical Research Unit
304 schema:name Department of Global Health-Amsterdam Institute for Global Health and Development, AMC, Amsterdam, The Netherlands
305 Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands
306 Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam
307 rdf:type schema:Organization
308 https://www.grid.ac/institutes/grid.412966.e schema:alternateName Maastricht University Medical Centre
309 schema:name School for Nutrition and Translational Research in Metabolism (NUTRIM), MUMC, Maastricht, The Netherlands
310 rdf:type schema:Organization
311 https://www.grid.ac/institutes/grid.4991.5 schema:alternateName University of Oxford
312 schema:name Centre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK
313 Oxford University Clinical Research Unit, Centre for Tropical Medicine, Ho Chi Minh City, Vietnam
314 rdf:type schema:Organization
315 https://www.grid.ac/institutes/grid.5650.6 schema:alternateName Academic Medical Center
316 schema:name Department of Global Health-Amsterdam Institute for Global Health and Development, AMC, Amsterdam, The Netherlands
317 Department of Medical Microbiology, Academic Medical Center (AMC), Amsterdam, The Netherlands
318 rdf:type schema:Organization
 




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


...