Comparative genomics of human Lactobacillus crispatus isolates reveals genes for glycosylation and glycogen degradation: implications for in vivo dominance of ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Charlotte van der Veer, Rosanne Y. Hertzberger, Sylvia M. Bruisten, Hanne L. P. Tytgat, Jorne Swanenburg, Alie de Kat Angelino-Bart, Frank Schuren, Douwe Molenaar, Gregor Reid, Henry de Vries, Remco Kort

ABSTRACT

BACKGROUND: A vaginal microbiota dominated by lactobacilli (particularly Lactobacillus crispatus) is associated with vaginal health, whereas a vaginal microbiota not dominated by lactobacilli is considered dysbiotic. Here we investigated whether L. crispatus strains isolated from the vaginal tract of women with Lactobacillus-dominated vaginal microbiota (LVM) are pheno- or genotypically distinct from L. crispatus strains isolated from vaginal samples with dysbiotic vaginal microbiota (DVM). RESULTS: We studied 33 L. crispatus strains (n = 16 from LVM; n = 17 from DVM). Comparison of these two groups of strains showed that, although strain differences existed, both groups degraded various carbohydrates, produced similar amounts of organic acids, inhibited Neisseria gonorrhoeae growth, and did not produce biofilms. Comparative genomics analyses of 28 strains (n = 12 LVM; n = 16 DVM) revealed a novel, 3-fragmented glycosyltransferase gene that was more prevalent among strains isolated from DVM. Most L. crispatus strains showed growth on glycogen-supplemented growth media. Strains that showed less-efficient (n = 6) or no (n = 1) growth on glycogen all carried N-terminal deletions (respectively, 29 and 37 amino acid deletions) in a putative pullulanase type I protein. DISCUSSION: L. crispatus strains isolated from LVM were not phenotypically distinct from L. crispatus strains isolated from DVM; however, the finding that the latter were more likely to carry a 3-fragmented glycosyltransferase gene may indicate a role for cell surface glycoconjugates, which may shape vaginal microbiota-host interactions. Furthermore, the observation that variation in the pullulanase type I gene is associated with growth on glycogen discourages previous claims that L. crispatus cannot directly utilize glycogen. More... »

PAGES

49

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40168-019-0667-9

DOI

http://dx.doi.org/10.1186/s40168-019-0667-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113089817

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30925932


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": "Public Health Service of Amsterdam", 
          "id": "https://www.grid.ac/institutes/grid.413928.5", 
          "name": [
            "Department of Infectious Diseases, Public Health Service, GGD, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van der Veer", 
        "givenName": "Charlotte", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VU University Amsterdam", 
          "id": "https://www.grid.ac/institutes/grid.12380.38", 
          "name": [
            "Department of Molecular Cell Biology, Faculty of Science, O|2 Lab Building, VU University, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hertzberger", 
        "givenName": "Rosanne Y.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VU University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Infectious Diseases, Public Health Service, GGD, Amsterdam, The Netherlands", 
            "Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bruisten", 
        "givenName": "Sylvia M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Technology in Zurich", 
          "id": "https://www.grid.ac/institutes/grid.5801.c", 
          "name": [
            "Institute of Microbiology, ETH Z\u00fcrich, Zurich, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tytgat", 
        "givenName": "Hanne L. P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Department of Molecular Cell Biology, Faculty of Science, O|2 Lab Building, VU University, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands", 
            "Netherlands Organization for Applied Scientific Research (TNO), Microbiology and Systems Biology, Zeist, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Swanenburg", 
        "givenName": "Jorne", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Netherlands Organization for Applied Scientific Research (TNO), Microbiology and Systems Biology, Zeist, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Kat Angelino-Bart", 
        "givenName": "Alie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Netherlands Organization for Applied Scientific Research (TNO), Microbiology and Systems Biology, Zeist, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schuren", 
        "givenName": "Frank", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VU University Amsterdam", 
          "id": "https://www.grid.ac/institutes/grid.12380.38", 
          "name": [
            "Department of Molecular Cell Biology, Faculty of Science, O|2 Lab Building, VU University, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Molenaar", 
        "givenName": "Douwe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Western University", 
          "id": "https://www.grid.ac/institutes/grid.39381.30", 
          "name": [
            "Canadian R&D Centre for Human Microbiome and Probiotics, Lawson Health Research Institute, London, Canada", 
            "Departments of Microbiology and Immunology, and Surgery, Western University, London, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reid", 
        "givenName": "Gregor", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VU University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Infectious Diseases, Public Health Service, GGD, Amsterdam, The Netherlands", 
            "Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Vries", 
        "givenName": "Henry", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Netherlands Organisation for Applied Scientific Research", 
          "id": "https://www.grid.ac/institutes/grid.4858.1", 
          "name": [
            "Department of Molecular Cell Biology, Faculty of Science, O|2 Lab Building, VU University, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands", 
            "Netherlands Organization for Applied Scientific Research (TNO), Microbiology and Systems Biology, Zeist, The Netherlands", 
            "ARTIS-Micropia, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kort", 
        "givenName": "Remco", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000086869"
        ], 
        "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/10.1111/j.1574-695x.2006.00162.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002012949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m806115200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004384187"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004693638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.187.4.1465-1473.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007623205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.03566-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007885852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-13-202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008693024", 
          "https://doi.org/10.1186/1471-2164-13-202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.biochem.76.061005.092322", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009254172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gku1221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010476872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0107758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015103399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/infdis/jiu231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015123145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0003787", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019080772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mmbr.00007-14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019329297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mbio.00460-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020434174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0102467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020467589"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mib.2008.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022783073"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1574-6976.12029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024596277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1002611107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025481271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-15-1070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027468454", 
          "https://doi.org/10.1186/1471-2164-15-1070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/mi.2015.86", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028028807", 
          "https://doi.org/10.1038/mi.2015.86"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1476-0711-10-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028037592", 
          "https://doi.org/10.1186/1476-0711-10-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1502875112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031256410"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btu153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031501454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12879-016-1513-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034031723", 
          "https://doi.org/10.1186/s12879-016-1513-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0036917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035141808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt1178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035309471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep24373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036188717", 
          "https://doi.org/10.1038/srep24373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.immuni.2016.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040617831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.immuni.2016.12.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040617831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tim.2016.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047536922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms12797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047980738", 
          "https://doi.org/10.1038/ncomms12797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibtech.2014.04.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048077228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-016-0997-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050687712", 
          "https://doi.org/10.1186/s13059-016-0997-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13059-016-0997-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050687712", 
          "https://doi.org/10.1186/s13059-016-0997-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep29024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052512863", 
          "https://doi.org/10.1038/srep29024"
        ], 
        "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/10.1093/cid/ciw586", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059468071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.000238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060394142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.000302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060394206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.02385-16", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062710406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077038864", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079334509", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/femsle/fnx016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079400772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081731251", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00402-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084852312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrgastro.2017.75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086020795", 
          "https://doi.org/10.1038/nrgastro.2017.75"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0181135", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090584959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-017-8659-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093010391", 
          "https://doi.org/10.1007/s00253-017-8659-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-017-8659-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093010391", 
          "https://doi.org/10.1007/s00253-017-8659-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fcimb.2017.00502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099601234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.02200-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099879123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.02200-17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099879123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cmi.2018.04.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103795038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mspheredirect.00262-18", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104437432"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: A vaginal microbiota dominated by lactobacilli (particularly Lactobacillus crispatus) is associated with vaginal health, whereas a vaginal microbiota not dominated by lactobacilli is considered dysbiotic. Here we investigated whether L. crispatus strains isolated from the vaginal tract of women with Lactobacillus-dominated vaginal microbiota (LVM) are pheno- or genotypically distinct from L. crispatus strains isolated from vaginal samples with dysbiotic vaginal microbiota (DVM).\nRESULTS: We studied 33\u2009L. crispatus strains (n\u2009=\u200916 from LVM; n\u2009=\u200917 from DVM). Comparison of these two groups of strains showed that, although strain differences existed, both groups degraded various carbohydrates, produced similar amounts of organic acids, inhibited Neisseria gonorrhoeae growth, and did not produce biofilms. Comparative genomics analyses of 28 strains (n\u2009=\u200912 LVM; n\u2009=\u200916 DVM) revealed a novel, 3-fragmented glycosyltransferase gene that was more prevalent among strains isolated from DVM. Most L. crispatus strains showed growth on glycogen-supplemented growth media. Strains that showed less-efficient (n\u2009=\u20096) or no (n\u2009=\u20091) growth on glycogen all carried N-terminal deletions (respectively, 29 and 37 amino acid deletions) in a putative pullulanase type I protein.\nDISCUSSION: L. crispatus strains isolated from LVM were not phenotypically distinct from L. crispatus strains isolated from DVM; however, the finding that the latter were more likely to carry a 3-fragmented glycosyltransferase gene may indicate a role for cell surface glycoconjugates, which may shape vaginal microbiota-host interactions. Furthermore, the observation that variation in the pullulanase type I gene is associated with growth on glycogen discourages previous claims that L. crispatus cannot directly utilize glycogen.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40168-019-0667-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5495215", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1048878", 
        "issn": [
          "2049-2618"
        ], 
        "name": "Microbiome", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Comparative genomics of human Lactobacillus crispatus isolates reveals genes for glycosylation and glycogen degradation: implications for in vivo dominance of the vaginal microbiota", 
    "pagination": "49", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40168-019-0667-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113089817"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2ff4e265ef201841548614158b26b1426a0f6319296109ccbd59edf0d4e8a989"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101615147"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30925932"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40168-019-0667-9", 
      "https://app.dimensions.ai/details/publication/pub.1113089817"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:26", 
    "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/v90/0000000377_0000000377/records_106842_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40168-019-0667-9"
  }
]
 

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.10.1186/s40168-019-0667-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40168-019-0667-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40168-019-0667-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40168-019-0667-9'


 

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

309 TRIPLES      21 PREDICATES      80 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40168-019-0667-9 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N60f7f34f01594db79a3561e1018910e1
4 schema:citation sg:pub.10.1007/s00253-017-8659-9
5 sg:pub.10.1038/mi.2015.86
6 sg:pub.10.1038/ncomms12797
7 sg:pub.10.1038/nrgastro.2017.75
8 sg:pub.10.1038/srep24373
9 sg:pub.10.1038/srep29024
10 sg:pub.10.1186/1471-2164-13-202
11 sg:pub.10.1186/1471-2164-15-1070
12 sg:pub.10.1186/1476-0711-10-8
13 sg:pub.10.1186/s12879-016-1513-3
14 sg:pub.10.1186/s13059-016-0997-x
15 https://app.dimensions.ai/details/publication/pub.1077038864
16 https://app.dimensions.ai/details/publication/pub.1079334509
17 https://app.dimensions.ai/details/publication/pub.1081731251
18 https://doi.org/10.1016/j.cmi.2018.04.019
19 https://doi.org/10.1016/j.immuni.2016.12.013
20 https://doi.org/10.1016/j.mib.2008.09.006
21 https://doi.org/10.1016/j.tibtech.2014.04.002
22 https://doi.org/10.1016/j.tim.2016.06.004
23 https://doi.org/10.1073/pnas.1002611107
24 https://doi.org/10.1073/pnas.1502875112
25 https://doi.org/10.1074/jbc.m806115200
26 https://doi.org/10.1089/cmb.2012.0021
27 https://doi.org/10.1093/bioinformatics/btp356
28 https://doi.org/10.1093/bioinformatics/btt086
29 https://doi.org/10.1093/bioinformatics/btu153
30 https://doi.org/10.1093/cid/ciw586
31 https://doi.org/10.1093/femsle/fnx016
32 https://doi.org/10.1093/infdis/jiu231
33 https://doi.org/10.1093/nar/gkt1178
34 https://doi.org/10.1093/nar/gku1221
35 https://doi.org/10.1093/nar/gkw569
36 https://doi.org/10.1099/mic.0.000238
37 https://doi.org/10.1099/mic.0.000302
38 https://doi.org/10.1111/1574-6976.12029
39 https://doi.org/10.1111/j.1574-695x.2006.00162.x
40 https://doi.org/10.1128/aem.00402-17
41 https://doi.org/10.1128/aem.02200-17
42 https://doi.org/10.1128/aem.02385-16
43 https://doi.org/10.1128/aem.03566-12
44 https://doi.org/10.1128/jb.187.4.1465-1473.2005
45 https://doi.org/10.1128/mbio.00460-13
46 https://doi.org/10.1128/mmbr.00007-14
47 https://doi.org/10.1128/mspheredirect.00262-18
48 https://doi.org/10.1146/annurev.biochem.76.061005.092322
49 https://doi.org/10.1371/journal.pone.0003787
50 https://doi.org/10.1371/journal.pone.0036917
51 https://doi.org/10.1371/journal.pone.0102467
52 https://doi.org/10.1371/journal.pone.0107758
53 https://doi.org/10.1371/journal.pone.0181135
54 https://doi.org/10.3389/fcimb.2017.00502
55 schema:datePublished 2019-12
56 schema:datePublishedReg 2019-12-01
57 schema:description BACKGROUND: A vaginal microbiota dominated by lactobacilli (particularly Lactobacillus crispatus) is associated with vaginal health, whereas a vaginal microbiota not dominated by lactobacilli is considered dysbiotic. Here we investigated whether L. crispatus strains isolated from the vaginal tract of women with Lactobacillus-dominated vaginal microbiota (LVM) are pheno- or genotypically distinct from L. crispatus strains isolated from vaginal samples with dysbiotic vaginal microbiota (DVM). RESULTS: We studied 33 L. crispatus strains (n = 16 from LVM; n = 17 from DVM). Comparison of these two groups of strains showed that, although strain differences existed, both groups degraded various carbohydrates, produced similar amounts of organic acids, inhibited Neisseria gonorrhoeae growth, and did not produce biofilms. Comparative genomics analyses of 28 strains (n = 12 LVM; n = 16 DVM) revealed a novel, 3-fragmented glycosyltransferase gene that was more prevalent among strains isolated from DVM. Most L. crispatus strains showed growth on glycogen-supplemented growth media. Strains that showed less-efficient (n = 6) or no (n = 1) growth on glycogen all carried N-terminal deletions (respectively, 29 and 37 amino acid deletions) in a putative pullulanase type I protein. DISCUSSION: L. crispatus strains isolated from LVM were not phenotypically distinct from L. crispatus strains isolated from DVM; however, the finding that the latter were more likely to carry a 3-fragmented glycosyltransferase gene may indicate a role for cell surface glycoconjugates, which may shape vaginal microbiota-host interactions. Furthermore, the observation that variation in the pullulanase type I gene is associated with growth on glycogen discourages previous claims that L. crispatus cannot directly utilize glycogen.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree true
61 schema:isPartOf N99f158f88513408790ed5c6eaed871cf
62 Ncdc634fd867e441bb99bd337f8e7af7f
63 sg:journal.1048878
64 schema:name Comparative genomics of human Lactobacillus crispatus isolates reveals genes for glycosylation and glycogen degradation: implications for in vivo dominance of the vaginal microbiota
65 schema:pagination 49
66 schema:productId N3d4873ec864c41a4bab7a8ae57827c93
67 N3f062d428ea04fe5b2ba504635b95797
68 N6401e7aada8143a6b04254f4d57df4db
69 Naf616ae041d645c190b25145548b88a7
70 Nc354fcff9940403580bccdb20736ed0e
71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113089817
72 https://doi.org/10.1186/s40168-019-0667-9
73 schema:sdDatePublished 2019-04-16T06:26
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher N5d6edf9708314b918e608f820944e999
76 schema:url https://link.springer.com/10.1186%2Fs40168-019-0667-9
77 sgo:license sg:explorer/license/
78 sgo:sdDataset articles
79 rdf:type schema:ScholarlyArticle
80 N0bcd7df79dd04426811b3b547c2a4d74 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
81 schema:familyName Schuren
82 schema:givenName Frank
83 rdf:type schema:Person
84 N0f9a7a67a15e4de98a2118b1d5649644 schema:affiliation https://www.grid.ac/institutes/grid.39381.30
85 schema:familyName Reid
86 schema:givenName Gregor
87 rdf:type schema:Person
88 N0ffb432656d24efc86c3cfcd2f787dfb schema:affiliation https://www.grid.ac/institutes/grid.4858.1
89 schema:familyName Kort
90 schema:givenName Remco
91 rdf:type schema:Person
92 N27db0425723940f1b06b4346fb070186 rdf:first Nbc41b6d53e5d4ad586ed35fcb681b309
93 rdf:rest N338b3209512041c395c1e8e1b5a03ca3
94 N3298a5d37976446d96727a741164d8d1 rdf:first N98e6309cfeb44e64af84a59706507d48
95 rdf:rest N35e66c3959a24ad18b4acab6c24dfa26
96 N338b3209512041c395c1e8e1b5a03ca3 rdf:first N0f9a7a67a15e4de98a2118b1d5649644
97 rdf:rest Nb9f098cd8e6a4c3ca4488f16a89af4ba
98 N35e66c3959a24ad18b4acab6c24dfa26 rdf:first Nbc9434682d164101bb949ccbefdc5765
99 rdf:rest Nbf9d9332a15d41bd8662c6cede1329f4
100 N3bb29d8e4b5444e2bc9debc81aa77ade rdf:first N91d3a0d4175c465cbde5d15415db97e6
101 rdf:rest N3298a5d37976446d96727a741164d8d1
102 N3d4873ec864c41a4bab7a8ae57827c93 schema:name dimensions_id
103 schema:value pub.1113089817
104 rdf:type schema:PropertyValue
105 N3f062d428ea04fe5b2ba504635b95797 schema:name pubmed_id
106 schema:value 30925932
107 rdf:type schema:PropertyValue
108 N3f70db2a82b948e08f001f9e2149a8c7 rdf:first N0bcd7df79dd04426811b3b547c2a4d74
109 rdf:rest N27db0425723940f1b06b4346fb070186
110 N455b287799744308b7c2275140bb8088 rdf:first N53410d076a944a3e9939247845d814f5
111 rdf:rest N3f70db2a82b948e08f001f9e2149a8c7
112 N53410d076a944a3e9939247845d814f5 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
113 schema:familyName de Kat Angelino-Bart
114 schema:givenName Alie
115 rdf:type schema:Person
116 N5d6edf9708314b918e608f820944e999 schema:name Springer Nature - SN SciGraph project
117 rdf:type schema:Organization
118 N60f7f34f01594db79a3561e1018910e1 rdf:first Nc482e997997f4198a93cf0611b8397cc
119 rdf:rest N3bb29d8e4b5444e2bc9debc81aa77ade
120 N6401e7aada8143a6b04254f4d57df4db schema:name doi
121 schema:value 10.1186/s40168-019-0667-9
122 rdf:type schema:PropertyValue
123 N6c11a6bed6d54e52a316a0915741a5b9 schema:affiliation https://www.grid.ac/institutes/grid.16872.3a
124 schema:familyName de Vries
125 schema:givenName Henry
126 rdf:type schema:Person
127 N6d33c64603ff4b1b9234049a9078d878 rdf:first N0ffb432656d24efc86c3cfcd2f787dfb
128 rdf:rest rdf:nil
129 N91d3a0d4175c465cbde5d15415db97e6 schema:affiliation https://www.grid.ac/institutes/grid.12380.38
130 schema:familyName Hertzberger
131 schema:givenName Rosanne Y.
132 rdf:type schema:Person
133 N98e6309cfeb44e64af84a59706507d48 schema:affiliation https://www.grid.ac/institutes/grid.16872.3a
134 schema:familyName Bruisten
135 schema:givenName Sylvia M.
136 rdf:type schema:Person
137 N99f158f88513408790ed5c6eaed871cf schema:issueNumber 1
138 rdf:type schema:PublicationIssue
139 Naf616ae041d645c190b25145548b88a7 schema:name nlm_unique_id
140 schema:value 101615147
141 rdf:type schema:PropertyValue
142 Nb9f098cd8e6a4c3ca4488f16a89af4ba rdf:first N6c11a6bed6d54e52a316a0915741a5b9
143 rdf:rest N6d33c64603ff4b1b9234049a9078d878
144 Nbc41b6d53e5d4ad586ed35fcb681b309 schema:affiliation https://www.grid.ac/institutes/grid.12380.38
145 schema:familyName Molenaar
146 schema:givenName Douwe
147 rdf:type schema:Person
148 Nbc9434682d164101bb949ccbefdc5765 schema:affiliation https://www.grid.ac/institutes/grid.5801.c
149 schema:familyName Tytgat
150 schema:givenName Hanne L. P.
151 rdf:type schema:Person
152 Nbf9d9332a15d41bd8662c6cede1329f4 rdf:first Nf4be546c122e470e919658afd1f9fc95
153 rdf:rest N455b287799744308b7c2275140bb8088
154 Nc354fcff9940403580bccdb20736ed0e schema:name readcube_id
155 schema:value 2ff4e265ef201841548614158b26b1426a0f6319296109ccbd59edf0d4e8a989
156 rdf:type schema:PropertyValue
157 Nc482e997997f4198a93cf0611b8397cc schema:affiliation https://www.grid.ac/institutes/grid.413928.5
158 schema:familyName van der Veer
159 schema:givenName Charlotte
160 rdf:type schema:Person
161 Ncdc634fd867e441bb99bd337f8e7af7f schema:volumeNumber 7
162 rdf:type schema:PublicationVolume
163 Nf4be546c122e470e919658afd1f9fc95 schema:affiliation https://www.grid.ac/institutes/grid.4858.1
164 schema:familyName Swanenburg
165 schema:givenName Jorne
166 rdf:type schema:Person
167 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
168 schema:name Biological Sciences
169 rdf:type schema:DefinedTerm
170 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
171 schema:name Genetics
172 rdf:type schema:DefinedTerm
173 sg:grant.5495215 http://pending.schema.org/fundedItem sg:pub.10.1186/s40168-019-0667-9
174 rdf:type schema:MonetaryGrant
175 sg:journal.1048878 schema:issn 2049-2618
176 schema:name Microbiome
177 rdf:type schema:Periodical
178 sg:pub.10.1007/s00253-017-8659-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093010391
179 https://doi.org/10.1007/s00253-017-8659-9
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/mi.2015.86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028028807
182 https://doi.org/10.1038/mi.2015.86
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/ncomms12797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047980738
185 https://doi.org/10.1038/ncomms12797
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nrgastro.2017.75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086020795
188 https://doi.org/10.1038/nrgastro.2017.75
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/srep24373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036188717
191 https://doi.org/10.1038/srep24373
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/srep29024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052512863
194 https://doi.org/10.1038/srep29024
195 rdf:type schema:CreativeWork
196 sg:pub.10.1186/1471-2164-13-202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008693024
197 https://doi.org/10.1186/1471-2164-13-202
198 rdf:type schema:CreativeWork
199 sg:pub.10.1186/1471-2164-15-1070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027468454
200 https://doi.org/10.1186/1471-2164-15-1070
201 rdf:type schema:CreativeWork
202 sg:pub.10.1186/1476-0711-10-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028037592
203 https://doi.org/10.1186/1476-0711-10-8
204 rdf:type schema:CreativeWork
205 sg:pub.10.1186/s12879-016-1513-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034031723
206 https://doi.org/10.1186/s12879-016-1513-3
207 rdf:type schema:CreativeWork
208 sg:pub.10.1186/s13059-016-0997-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050687712
209 https://doi.org/10.1186/s13059-016-0997-x
210 rdf:type schema:CreativeWork
211 https://app.dimensions.ai/details/publication/pub.1077038864 schema:CreativeWork
212 https://app.dimensions.ai/details/publication/pub.1079334509 schema:CreativeWork
213 https://app.dimensions.ai/details/publication/pub.1081731251 schema:CreativeWork
214 https://doi.org/10.1016/j.cmi.2018.04.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103795038
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.immuni.2016.12.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040617831
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.mib.2008.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022783073
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.tibtech.2014.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048077228
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.tim.2016.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047536922
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1073/pnas.1002611107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025481271
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1073/pnas.1502875112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031256410
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1074/jbc.m806115200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004384187
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1089/cmb.2012.0021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059246094
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/bioinformatics/btp356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000086869
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/bioinformatics/btt086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000520351
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1093/bioinformatics/btu153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031501454
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1093/cid/ciw586 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059468071
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1093/femsle/fnx016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079400772
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1093/infdis/jiu231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015123145
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1093/nar/gkt1178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035309471
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1093/nar/gku1221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010476872
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1093/nar/gkw569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004693638
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1099/mic.0.000238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060394142
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1099/mic.0.000302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060394206
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1111/1574-6976.12029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024596277
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1111/j.1574-695x.2006.00162.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002012949
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1128/aem.00402-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084852312
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1128/aem.02200-17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099879123
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1128/aem.02385-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062710406
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1128/aem.03566-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007885852
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1128/jb.187.4.1465-1473.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007623205
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1128/mbio.00460-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020434174
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1128/mmbr.00007-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019329297
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1128/mspheredirect.00262-18 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104437432
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1146/annurev.biochem.76.061005.092322 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009254172
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1371/journal.pone.0003787 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019080772
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1371/journal.pone.0036917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035141808
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1371/journal.pone.0102467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020467589
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1371/journal.pone.0107758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015103399
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1371/journal.pone.0181135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090584959
285 rdf:type schema:CreativeWork
286 https://doi.org/10.3389/fcimb.2017.00502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099601234
287 rdf:type schema:CreativeWork
288 https://www.grid.ac/institutes/grid.12380.38 schema:alternateName VU University Amsterdam
289 schema:name Department of Molecular Cell Biology, Faculty of Science, O|2 Lab Building, VU University, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands
290 rdf:type schema:Organization
291 https://www.grid.ac/institutes/grid.16872.3a schema:alternateName VU University Medical Center
292 schema:name Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands
293 Department of Infectious Diseases, Public Health Service, GGD, Amsterdam, The Netherlands
294 rdf:type schema:Organization
295 https://www.grid.ac/institutes/grid.39381.30 schema:alternateName Western University
296 schema:name Canadian R&D Centre for Human Microbiome and Probiotics, Lawson Health Research Institute, London, Canada
297 Departments of Microbiology and Immunology, and Surgery, Western University, London, Ontario, Canada
298 rdf:type schema:Organization
299 https://www.grid.ac/institutes/grid.413928.5 schema:alternateName Public Health Service of Amsterdam
300 schema:name Department of Infectious Diseases, Public Health Service, GGD, Amsterdam, The Netherlands
301 rdf:type schema:Organization
302 https://www.grid.ac/institutes/grid.4858.1 schema:alternateName Netherlands Organisation for Applied Scientific Research
303 schema:name ARTIS-Micropia, Amsterdam, The Netherlands
304 Department of Molecular Cell Biology, Faculty of Science, O|2 Lab Building, VU University, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands
305 Netherlands Organization for Applied Scientific Research (TNO), Microbiology and Systems Biology, Zeist, The Netherlands
306 rdf:type schema:Organization
307 https://www.grid.ac/institutes/grid.5801.c schema:alternateName Swiss Federal Institute of Technology in Zurich
308 schema:name Institute of Microbiology, ETH Zürich, Zurich, Switzerland
309 rdf:type schema:Organization
 




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


...