Man-made microbial resistances in built environments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Alexander Mahnert, Christine Moissl-Eichinger, Markus Zojer, David Bogumil, Itzhak Mizrahi, Thomas Rattei, José Luis Martinez, Gabriele Berg

ABSTRACT

Antimicrobial resistance is a serious threat to global public health, but little is known about the effects of microbial control on the microbiota and its associated resistome. Here we compare the microbiota present on surfaces of clinical settings with other built environments. Using state-of-the-art metagenomics approaches and genome and plasmid reconstruction, we show that increased confinement and cleaning is associated with a loss of microbial diversity and a shift from Gram-positive bacteria, such as Actinobacteria and Firmicutes, to Gram-negative such as Proteobacteria. Moreover, the microbiome of highly maintained built environments has a different resistome when compared to other built environments, as well as a higher diversity in resistance genes. Our results highlight that the loss of microbial diversity correlates with an increase in resistance, and the need for implementing strategies to restore bacterial diversity in certain built environments. More... »

PAGES

968

References to SciGraph publications

  • 2018-10. Qiita: rapid, web-enabled microbiome meta-analysis in NATURE METHODS
  • 2008-12. The RAST Server: Rapid Annotations using Subsystems Technology in BMC GENOMICS
  • 2013-12. The ignored diversity: complex bacterial communities in intensive care units revealed by 16S pyrosequencing in SCIENTIFIC REPORTS
  • 2014-11. Binning metagenomic contigs by coverage and composition in NATURE METHODS
  • 2016-12. Measurement of bacterial replication rates in microbial communities in NATURE BIOTECHNOLOGY
  • 2014-05. Bacterial phylogeny structures soil resistomes across habitats in NATURE
  • 2009-12. What are the consequences of the disappearing human microbiota? in NATURE REVIEWS MICROBIOLOGY
  • 2016-05. Interconnected microbiomes and resistomes in low-income human habitats in NATURE
  • 2015-12. Prediction of microbial phenotypes based on comparative genomics in BMC BIOINFORMATICS
  • 2002-06. Biodiversity as a barrier to ecological invasion in NATURE
  • 2017-12. dRep: a tool for fast and accurate genomic comparisons that enables improved genome recovery from metagenomes through de-replication in THE ISME JOURNAL
  • 2018-03. Environment dominates over host genetics in shaping human gut microbiota in NATURE
  • 2015-02. What is a resistance gene? Ranking risk in resistomes in NATURE REVIEWS MICROBIOLOGY
  • 2011-06. Metagenomic biomarker discovery and explanation in GENOME BIOLOGY
  • 2015-05. Tackling antibiotic resistance: the environmental framework in NATURE REVIEWS MICROBIOLOGY
  • 2014-12. MaxBin: an automated binning method to recover individual genomes from metagenomes using an expectation-maximization algorithm in MICROBIOME
  • 2012-12. Ray Meta: scalable de novo metagenome assembly and profiling in GENOME BIOLOGY
  • 2016-12. The structure and diversity of human, animal and environmental resistomes in MICROBIOME
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41467-019-08864-0

    DOI

    http://dx.doi.org/10.1038/s41467-019-08864-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112391289

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30814504


    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/2008/0605", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Microbiology", 
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biodiversity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Built Environment", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Drug Resistance, Microbial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Environmental Microbiology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gram-Negative Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gram-Positive Bacteria", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metagenome", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microbiota", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Graz University of Technology", 
              "id": "https://www.grid.ac/institutes/grid.410413.3", 
              "name": [
                "Institute of Environmental Biotechnology, Graz University of Technology, Petersgasse 12/I, 8010, Graz, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mahnert", 
            "givenName": "Alexander", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "BioTechMed-Graz", 
              "id": "https://www.grid.ac/institutes/grid.452216.6", 
              "name": [
                "Department of Internal Medicine, Medical University Graz, Auenbruggerplatz 2, 8036, Graz, Austria", 
                "BioTechMed Graz, Mozartgasse 12/II, 8010, Graz, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Moissl-Eichinger", 
            "givenName": "Christine", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Vienna", 
              "id": "https://www.grid.ac/institutes/grid.10420.37", 
              "name": [
                "Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zojer", 
            "givenName": "Markus", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ben-Gurion University of the Negev", 
              "id": "https://www.grid.ac/institutes/grid.7489.2", 
              "name": [
                "Department of Life Sciences, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Box 653, 84105, Beer-Sheva, Israel"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bogumil", 
            "givenName": "David", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ben-Gurion University of the Negev", 
              "id": "https://www.grid.ac/institutes/grid.7489.2", 
              "name": [
                "Department of Life Sciences, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Box 653, 84105, Beer-Sheva, Israel"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mizrahi", 
            "givenName": "Itzhak", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Vienna", 
              "id": "https://www.grid.ac/institutes/grid.10420.37", 
              "name": [
                "Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rattei", 
            "givenName": "Thomas", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Center for Biotechnology", 
              "id": "https://www.grid.ac/institutes/grid.428469.5", 
              "name": [
                "Centro Nacional de Biotecnologia, CSIC, Calle Darwin 3, 28049, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martinez", 
            "givenName": "Jos\u00e9 Luis", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "BioTechMed-Graz", 
              "id": "https://www.grid.ac/institutes/grid.452216.6", 
              "name": [
                "Institute of Environmental Biotechnology, Graz University of Technology, Petersgasse 12/I, 8010, Graz, Austria", 
                "BioTechMed Graz, Mozartgasse 12/II, 8010, Graz, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Berg", 
            "givenName": "Gabriele", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/nar/gkw1004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000159214"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2011-12-6-r60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000243423", 
              "https://doi.org/10.1186/gb-2011-12-6-r60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0108598", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000630537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkv1239", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003229314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro3399", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004886695", 
              "https://doi.org/10.1038/nrmicro3399"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molmed.2015.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005770365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molmed.2015.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005770365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molmed.2015.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005770365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molmed.2015.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005770365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molmed.2015.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005770365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt1226", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009906349"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/aci.0000000000000304", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010474346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/aci.0000000000000304", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010474346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/aci.0000000000000304", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010474346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/aci.0000000000000304", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010474346"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts079", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011943815"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/msystems.00022-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012401871"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-9-75", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013431920", 
              "https://doi.org/10.1186/1471-2164-9-75"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0022-2836(05)80360-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013618994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.186072.114", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015107573"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro2245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016579270", 
              "https://doi.org/10.1038/nrmicro2245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro2245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016579270", 
              "https://doi.org/10.1038/nrmicro2245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkr988", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017669524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1000080107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019627885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2012-13-12-r122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019755831", 
              "https://doi.org/10.1186/gb-2012-13-12-r122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.3704", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020940033", 
              "https://doi.org/10.1038/nbt.3704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-016-0199-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023584431", 
              "https://doi.org/10.1186/s40168-016-0199-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-016-0199-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023584431", 
              "https://doi.org/10.1186/s40168-016-0199-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gks808", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023917098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep01413", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025485940", 
              "https://doi.org/10.1038/srep01413"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkj406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027030029"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2015.00887", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028058380"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2016.01573", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029112160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aad9358", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030109643"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3402/mehd.v26.27663", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031307715"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2016.04.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031502239"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cell.2016.04.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031502239"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0001619", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031792395"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/2049-2618-2-26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033360565", 
              "https://doi.org/10.1186/2049-2618-2-26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature17672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033691835", 
              "https://doi.org/10.1038/nature17672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.5969107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034259503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.3103", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034514160", 
              "https://doi.org/10.1038/nmeth.3103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro3439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035498296", 
              "https://doi.org/10.1038/nrmicro3439"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature00776", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037522089", 
              "https://doi.org/10.1038/nature00776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature00776", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037522089", 
              "https://doi.org/10.1038/nature00776"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt1253", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040558615"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkt963", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040855159"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2014.00015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041799594"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/msystems.00083-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042655845"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-16-s14-s1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043047761", 
              "https://doi.org/10.1186/1471-2105-16-s14-s1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.aad9378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045400470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1254529", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049689866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/msystems.00033-16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051339872"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.it.2015.01.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051398701"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature13377", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052310926", 
              "https://doi.org/10.1038/nature13377"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.copbio.2016.04.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052467294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btw651", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059415021"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/femsec/fix050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085232363"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/scitranslmed.aah6500", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085586789"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jac/dkx199", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085795469"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ismej.2017.126", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090891867", 
              "https://doi.org/10.1038/ismej.2017.126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature25973", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101264718", 
              "https://doi.org/10.1038/nature25973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature25973", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101264718", 
              "https://doi.org/10.1038/nature25973"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41592-018-0141-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107129414", 
              "https://doi.org/10.1038/s41592-018-0141-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41592-018-0141-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107129414", 
              "https://doi.org/10.1038/s41592-018-0141-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41592-018-0141-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107129414", 
              "https://doi.org/10.1038/s41592-018-0141-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.21105/joss.00934", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107813303"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7287/peerj.preprints.27295v1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107816979"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7287/peerj.preprints.27295v1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107816979"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.7287/peerj.preprints.27295v1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1107816979"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2018.02985", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110377146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2018.02985", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110377146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2018.02985", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110377146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2018.02985", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110377146"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "Antimicrobial resistance is a serious threat to global public health, but little is known about the effects of microbial control on the microbiota and its associated resistome. Here we compare the microbiota present on surfaces of clinical settings with other built environments. Using state-of-the-art metagenomics approaches and genome and plasmid reconstruction, we show that increased confinement and cleaning is associated with a loss of microbial diversity and a shift from Gram-positive bacteria, such as Actinobacteria and Firmicutes, to Gram-negative such as Proteobacteria. Moreover, the microbiome of highly maintained built environments has a different resistome when compared to other built environments, as well as a higher diversity in resistance genes. Our results highlight that the loss of microbial diversity correlates with an increase in resistance, and the need for implementing strategies to restore bacterial diversity in certain built environments.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41467-019-08864-0", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.4456741", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.7579143", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1043282", 
            "issn": [
              "2041-1723"
            ], 
            "name": "Nature Communications", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "10"
          }
        ], 
        "name": "Man-made microbial resistances in built environments", 
        "pagination": "968", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41467-019-08864-0"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "53f8ee7c80b4872487da9f6fb5163e21ac154d84115aff1d311e329cf676622b"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112391289"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101528555"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30814504"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41467-019-08864-0", 
          "https://app.dimensions.ai/details/publication/pub.1112391289"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:00", 
        "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/v90/0000000375_0000000375/records_91433_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41467-019-08864-0"
      }
    ]
     

    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/s41467-019-08864-0'

    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/s41467-019-08864-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-08864-0'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-019-08864-0'


     

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

    346 TRIPLES      21 PREDICATES      93 URIs      30 LITERALS      18 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41467-019-08864-0 schema:about N00294f094c4149969e3190ef88b03e1f
    2 N0b28b56a7c8941a3bc55f196efeeb2d3
    3 N47137dcd621c420e86e67eee273c5245
    4 N5b72fe4b602b4049bbd195625dbe9ff1
    5 N71839ad7ed4545469b2a9f40ce752570
    6 N8f7c0ece0b46401ea0bdbc6d667513aa
    7 N904b61e94ee146beb47e00216679ecc8
    8 Nbc659a4a0f3f4afc9894ac65c9265fad
    9 Ne7c708e2604e4e7abd538e585140d0a8
    10 anzsrc-for:06
    11 anzsrc-for:0605
    12 schema:author N8ecb20b99ef24a699991acb10b6f060c
    13 schema:citation sg:pub.10.1038/ismej.2017.126
    14 sg:pub.10.1038/nature00776
    15 sg:pub.10.1038/nature13377
    16 sg:pub.10.1038/nature17672
    17 sg:pub.10.1038/nature25973
    18 sg:pub.10.1038/nbt.3704
    19 sg:pub.10.1038/nmeth.3103
    20 sg:pub.10.1038/nrmicro2245
    21 sg:pub.10.1038/nrmicro3399
    22 sg:pub.10.1038/nrmicro3439
    23 sg:pub.10.1038/s41592-018-0141-9
    24 sg:pub.10.1038/srep01413
    25 sg:pub.10.1186/1471-2105-16-s14-s1
    26 sg:pub.10.1186/1471-2164-9-75
    27 sg:pub.10.1186/2049-2618-2-26
    28 sg:pub.10.1186/gb-2011-12-6-r60
    29 sg:pub.10.1186/gb-2012-13-12-r122
    30 sg:pub.10.1186/s40168-016-0199-5
    31 https://doi.org/10.1016/j.cell.2016.04.007
    32 https://doi.org/10.1016/j.copbio.2016.04.011
    33 https://doi.org/10.1016/j.it.2015.01.001
    34 https://doi.org/10.1016/j.molmed.2015.03.005
    35 https://doi.org/10.1016/s0022-2836(05)80360-2
    36 https://doi.org/10.1073/pnas.1000080107
    37 https://doi.org/10.1093/bioinformatics/bts079
    38 https://doi.org/10.1093/bioinformatics/btw651
    39 https://doi.org/10.1093/femsec/fix050
    40 https://doi.org/10.1093/jac/dkx199
    41 https://doi.org/10.1093/nar/gkj406
    42 https://doi.org/10.1093/nar/gkr988
    43 https://doi.org/10.1093/nar/gks808
    44 https://doi.org/10.1093/nar/gkt1226
    45 https://doi.org/10.1093/nar/gkt1253
    46 https://doi.org/10.1093/nar/gkt963
    47 https://doi.org/10.1093/nar/gkv1239
    48 https://doi.org/10.1093/nar/gkw1004
    49 https://doi.org/10.1097/aci.0000000000000304
    50 https://doi.org/10.1101/gr.186072.114
    51 https://doi.org/10.1101/gr.5969107
    52 https://doi.org/10.1126/science.1254529
    53 https://doi.org/10.1126/science.aad9358
    54 https://doi.org/10.1126/science.aad9378
    55 https://doi.org/10.1126/scitranslmed.aah6500
    56 https://doi.org/10.1128/msystems.00022-16
    57 https://doi.org/10.1128/msystems.00033-16
    58 https://doi.org/10.1128/msystems.00083-16
    59 https://doi.org/10.1371/journal.pone.0001619
    60 https://doi.org/10.1371/journal.pone.0108598
    61 https://doi.org/10.21105/joss.00934
    62 https://doi.org/10.3389/fmicb.2014.00015
    63 https://doi.org/10.3389/fmicb.2015.00887
    64 https://doi.org/10.3389/fmicb.2016.01573
    65 https://doi.org/10.3389/fmicb.2018.02985
    66 https://doi.org/10.3402/mehd.v26.27663
    67 https://doi.org/10.7287/peerj.preprints.27295v1
    68 schema:datePublished 2019-12
    69 schema:datePublishedReg 2019-12-01
    70 schema:description Antimicrobial resistance is a serious threat to global public health, but little is known about the effects of microbial control on the microbiota and its associated resistome. Here we compare the microbiota present on surfaces of clinical settings with other built environments. Using state-of-the-art metagenomics approaches and genome and plasmid reconstruction, we show that increased confinement and cleaning is associated with a loss of microbial diversity and a shift from Gram-positive bacteria, such as Actinobacteria and Firmicutes, to Gram-negative such as Proteobacteria. Moreover, the microbiome of highly maintained built environments has a different resistome when compared to other built environments, as well as a higher diversity in resistance genes. Our results highlight that the loss of microbial diversity correlates with an increase in resistance, and the need for implementing strategies to restore bacterial diversity in certain built environments.
    71 schema:genre research_article
    72 schema:inLanguage en
    73 schema:isAccessibleForFree true
    74 schema:isPartOf N73c506284d58491499d9fb5bee618ac1
    75 Nff8871d16ee04205b778d546b5e2e200
    76 sg:journal.1043282
    77 schema:name Man-made microbial resistances in built environments
    78 schema:pagination 968
    79 schema:productId N3709fc6824bf45ddbcde1252334a208d
    80 N6c86469097044cf4b9259be7186df36a
    81 Nb89da987c579448eb35c1609ecf030fb
    82 Nba700670ef6d4928967ba8de5e977891
    83 Nf54b528e20e84ce4a19961b480523afd
    84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112391289
    85 https://doi.org/10.1038/s41467-019-08864-0
    86 schema:sdDatePublished 2019-04-15T09:00
    87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    88 schema:sdPublisher N4d6c377e1bb2434abe8af6dc0b1e2a5c
    89 schema:url https://www.nature.com/articles/s41467-019-08864-0
    90 sgo:license sg:explorer/license/
    91 sgo:sdDataset articles
    92 rdf:type schema:ScholarlyArticle
    93 N00294f094c4149969e3190ef88b03e1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Biodiversity
    95 rdf:type schema:DefinedTerm
    96 N0b28b56a7c8941a3bc55f196efeeb2d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    97 schema:name Humans
    98 rdf:type schema:DefinedTerm
    99 N0d2c7cd91bf74efc9eb7ea382ad9f1e0 rdf:first N9770cf9573584e8aa4e65affe7b4d9ea
    100 rdf:rest rdf:nil
    101 N119e4642546a40b7a7b4d474f3c04d92 rdf:first Neab80f416ace431c8e828aaaf1de507e
    102 rdf:rest N0d2c7cd91bf74efc9eb7ea382ad9f1e0
    103 N12f8854c144744d09ccc2a73f70cf091 schema:affiliation https://www.grid.ac/institutes/grid.410413.3
    104 schema:familyName Mahnert
    105 schema:givenName Alexander
    106 rdf:type schema:Person
    107 N30337254e25141cab5bf6f0681a22177 rdf:first Nfe1c58f7884e4ee09f3a344c33bd6a82
    108 rdf:rest N99b5c9bc846048719d9160573d3c794d
    109 N3709fc6824bf45ddbcde1252334a208d schema:name dimensions_id
    110 schema:value pub.1112391289
    111 rdf:type schema:PropertyValue
    112 N47137dcd621c420e86e67eee273c5245 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    113 schema:name Gram-Positive Bacteria
    114 rdf:type schema:DefinedTerm
    115 N4b62094833cb42bc8a3d27b3ba4b0e40 rdf:first Nfc497edb9db341e69ec30055ea990899
    116 rdf:rest N30337254e25141cab5bf6f0681a22177
    117 N4d6c377e1bb2434abe8af6dc0b1e2a5c schema:name Springer Nature - SN SciGraph project
    118 rdf:type schema:Organization
    119 N5b72fe4b602b4049bbd195625dbe9ff1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Gram-Negative Bacteria
    121 rdf:type schema:DefinedTerm
    122 N6c86469097044cf4b9259be7186df36a schema:name doi
    123 schema:value 10.1038/s41467-019-08864-0
    124 rdf:type schema:PropertyValue
    125 N71839ad7ed4545469b2a9f40ce752570 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Metagenome
    127 rdf:type schema:DefinedTerm
    128 N73c506284d58491499d9fb5bee618ac1 schema:volumeNumber 10
    129 rdf:type schema:PublicationVolume
    130 N7f0a226d4ac24851ac508cd30aba8ca1 schema:affiliation https://www.grid.ac/institutes/grid.10420.37
    131 schema:familyName Rattei
    132 schema:givenName Thomas
    133 rdf:type schema:Person
    134 N8ca6cca940984f84b038aa99463af92d schema:affiliation https://www.grid.ac/institutes/grid.10420.37
    135 schema:familyName Zojer
    136 schema:givenName Markus
    137 rdf:type schema:Person
    138 N8ecb20b99ef24a699991acb10b6f060c rdf:first N12f8854c144744d09ccc2a73f70cf091
    139 rdf:rest Nac6ac308a1ff4198813299dfdf5bca64
    140 N8f7c0ece0b46401ea0bdbc6d667513aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Environmental Microbiology
    142 rdf:type schema:DefinedTerm
    143 N904b61e94ee146beb47e00216679ecc8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Drug Resistance, Microbial
    145 rdf:type schema:DefinedTerm
    146 N9505473b91b14211acb5d6df8f454356 rdf:first N8ca6cca940984f84b038aa99463af92d
    147 rdf:rest N4b62094833cb42bc8a3d27b3ba4b0e40
    148 N9770cf9573584e8aa4e65affe7b4d9ea schema:affiliation https://www.grid.ac/institutes/grid.452216.6
    149 schema:familyName Berg
    150 schema:givenName Gabriele
    151 rdf:type schema:Person
    152 N99b5c9bc846048719d9160573d3c794d rdf:first N7f0a226d4ac24851ac508cd30aba8ca1
    153 rdf:rest N119e4642546a40b7a7b4d474f3c04d92
    154 Nac6ac308a1ff4198813299dfdf5bca64 rdf:first Ne27139adff834c7e940dc271bc099f42
    155 rdf:rest N9505473b91b14211acb5d6df8f454356
    156 Nb89da987c579448eb35c1609ecf030fb schema:name readcube_id
    157 schema:value 53f8ee7c80b4872487da9f6fb5163e21ac154d84115aff1d311e329cf676622b
    158 rdf:type schema:PropertyValue
    159 Nba700670ef6d4928967ba8de5e977891 schema:name pubmed_id
    160 schema:value 30814504
    161 rdf:type schema:PropertyValue
    162 Nbc659a4a0f3f4afc9894ac65c9265fad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    163 schema:name Microbiota
    164 rdf:type schema:DefinedTerm
    165 Ne27139adff834c7e940dc271bc099f42 schema:affiliation https://www.grid.ac/institutes/grid.452216.6
    166 schema:familyName Moissl-Eichinger
    167 schema:givenName Christine
    168 rdf:type schema:Person
    169 Ne7c708e2604e4e7abd538e585140d0a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    170 schema:name Built Environment
    171 rdf:type schema:DefinedTerm
    172 Neab80f416ace431c8e828aaaf1de507e schema:affiliation https://www.grid.ac/institutes/grid.428469.5
    173 schema:familyName Martinez
    174 schema:givenName José Luis
    175 rdf:type schema:Person
    176 Nf54b528e20e84ce4a19961b480523afd schema:name nlm_unique_id
    177 schema:value 101528555
    178 rdf:type schema:PropertyValue
    179 Nfc497edb9db341e69ec30055ea990899 schema:affiliation https://www.grid.ac/institutes/grid.7489.2
    180 schema:familyName Bogumil
    181 schema:givenName David
    182 rdf:type schema:Person
    183 Nfe1c58f7884e4ee09f3a344c33bd6a82 schema:affiliation https://www.grid.ac/institutes/grid.7489.2
    184 schema:familyName Mizrahi
    185 schema:givenName Itzhak
    186 rdf:type schema:Person
    187 Nff8871d16ee04205b778d546b5e2e200 schema:issueNumber 1
    188 rdf:type schema:PublicationIssue
    189 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    190 schema:name Biological Sciences
    191 rdf:type schema:DefinedTerm
    192 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
    193 schema:name Microbiology
    194 rdf:type schema:DefinedTerm
    195 sg:grant.4456741 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-019-08864-0
    196 rdf:type schema:MonetaryGrant
    197 sg:grant.7579143 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-019-08864-0
    198 rdf:type schema:MonetaryGrant
    199 sg:journal.1043282 schema:issn 2041-1723
    200 schema:name Nature Communications
    201 rdf:type schema:Periodical
    202 sg:pub.10.1038/ismej.2017.126 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090891867
    203 https://doi.org/10.1038/ismej.2017.126
    204 rdf:type schema:CreativeWork
    205 sg:pub.10.1038/nature00776 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037522089
    206 https://doi.org/10.1038/nature00776
    207 rdf:type schema:CreativeWork
    208 sg:pub.10.1038/nature13377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052310926
    209 https://doi.org/10.1038/nature13377
    210 rdf:type schema:CreativeWork
    211 sg:pub.10.1038/nature17672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033691835
    212 https://doi.org/10.1038/nature17672
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1038/nature25973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101264718
    215 https://doi.org/10.1038/nature25973
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1038/nbt.3704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020940033
    218 https://doi.org/10.1038/nbt.3704
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1038/nmeth.3103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034514160
    221 https://doi.org/10.1038/nmeth.3103
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1038/nrmicro2245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016579270
    224 https://doi.org/10.1038/nrmicro2245
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1038/nrmicro3399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004886695
    227 https://doi.org/10.1038/nrmicro3399
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1038/nrmicro3439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035498296
    230 https://doi.org/10.1038/nrmicro3439
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1038/s41592-018-0141-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107129414
    233 https://doi.org/10.1038/s41592-018-0141-9
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1038/srep01413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025485940
    236 https://doi.org/10.1038/srep01413
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1186/1471-2105-16-s14-s1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043047761
    239 https://doi.org/10.1186/1471-2105-16-s14-s1
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1186/1471-2164-9-75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013431920
    242 https://doi.org/10.1186/1471-2164-9-75
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1186/2049-2618-2-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033360565
    245 https://doi.org/10.1186/2049-2618-2-26
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1186/gb-2011-12-6-r60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000243423
    248 https://doi.org/10.1186/gb-2011-12-6-r60
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1186/gb-2012-13-12-r122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019755831
    251 https://doi.org/10.1186/gb-2012-13-12-r122
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1186/s40168-016-0199-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023584431
    254 https://doi.org/10.1186/s40168-016-0199-5
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1016/j.cell.2016.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031502239
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/j.copbio.2016.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052467294
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/j.it.2015.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051398701
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/j.molmed.2015.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005770365
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/s0022-2836(05)80360-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013618994
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1073/pnas.1000080107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019627885
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1093/bioinformatics/bts079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011943815
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1093/bioinformatics/btw651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059415021
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1093/femsec/fix050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085232363
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1093/jac/dkx199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085795469
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1093/nar/gkj406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027030029
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1093/nar/gkr988 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017669524
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1093/nar/gks808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023917098
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1093/nar/gkt1226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009906349
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1093/nar/gkt1253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040558615
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1093/nar/gkt963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040855159
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1093/nar/gkv1239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003229314
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1093/nar/gkw1004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000159214
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1097/aci.0000000000000304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010474346
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1101/gr.186072.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015107573
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1101/gr.5969107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034259503
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1126/science.1254529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049689866
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1126/science.aad9358 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030109643
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1126/science.aad9378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045400470
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1126/scitranslmed.aah6500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085586789
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1128/msystems.00022-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012401871
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1128/msystems.00033-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051339872
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1128/msystems.00083-16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042655845
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1371/journal.pone.0001619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031792395
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1371/journal.pone.0108598 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000630537
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.21105/joss.00934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107813303
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.3389/fmicb.2014.00015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041799594
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.3389/fmicb.2015.00887 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028058380
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.3389/fmicb.2016.01573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029112160
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.3389/fmicb.2018.02985 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110377146
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.3402/mehd.v26.27663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031307715
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.7287/peerj.preprints.27295v1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107816979
    329 rdf:type schema:CreativeWork
    330 https://www.grid.ac/institutes/grid.10420.37 schema:alternateName University of Vienna
    331 schema:name Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
    332 rdf:type schema:Organization
    333 https://www.grid.ac/institutes/grid.410413.3 schema:alternateName Graz University of Technology
    334 schema:name Institute of Environmental Biotechnology, Graz University of Technology, Petersgasse 12/I, 8010, Graz, Austria
    335 rdf:type schema:Organization
    336 https://www.grid.ac/institutes/grid.428469.5 schema:alternateName National Center for Biotechnology
    337 schema:name Centro Nacional de Biotecnologia, CSIC, Calle Darwin 3, 28049, Madrid, Spain
    338 rdf:type schema:Organization
    339 https://www.grid.ac/institutes/grid.452216.6 schema:alternateName BioTechMed-Graz
    340 schema:name BioTechMed Graz, Mozartgasse 12/II, 8010, Graz, Austria
    341 Department of Internal Medicine, Medical University Graz, Auenbruggerplatz 2, 8036, Graz, Austria
    342 Institute of Environmental Biotechnology, Graz University of Technology, Petersgasse 12/I, 8010, Graz, Austria
    343 rdf:type schema:Organization
    344 https://www.grid.ac/institutes/grid.7489.2 schema:alternateName Ben-Gurion University of the Negev
    345 schema:name Department of Life Sciences, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Box 653, 84105, Beer-Sheva, Israel
    346 rdf:type schema:Organization
     




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


    ...