Metabolic Reconstruction and Modeling Microbial Electrosynthesis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Christopher W. Marshall, Daniel E. Ross, Kim M. Handley, Pamela B. Weisenhorn, Janaka N. Edirisinghe, Christopher S. Henry, Jack A. Gilbert, Harold D. May, R. Sean Norman

ABSTRACT

Microbial electrosynthesis is a renewable energy and chemical production platform that relies on microbial cells to capture electrons from a cathode and fix carbon. Yet despite the promise of this technology, the metabolic capacity of the microbes that inhabit the electrode surface and catalyze electron transfer in these systems remains largely unknown. We assembled thirteen draft genomes from a microbial electrosynthesis system producing primarily acetate from carbon dioxide, and their transcriptional activity was mapped to genomes from cells on the electrode surface and in the supernatant. This allowed us to create a metabolic model of the predominant community members belonging to Acetobacterium, Sulfurospirillum, and Desulfovibrio. According to the model, the Acetobacterium was the primary carbon fixer, and a keystone member of the community. Transcripts of soluble hydrogenases and ferredoxins from Acetobacterium and hydrogenases, formate dehydrogenase, and cytochromes of Desulfovibrio were found in high abundance near the electrode surface. Cytochrome c oxidases of facultative members of the community were highly expressed in the supernatant despite completely sealed reactors and constant flushing with anaerobic gases. These molecular discoveries and metabolic modeling now serve as a foundation for future examination and development of electrosynthetic microbial communities. More... »

PAGES

8391

References to SciGraph publications

  • 1978-05. Growth yields and growth rates of Desulfovibrio vulgaris (Marburg) growing on hydrogen plus sulfate and hydrogen plus thiosulfate as the sole energy sources in ARCHIVES OF MICROBIOLOGY
  • 2015-07. RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes in SCIENTIFIC REPORTS
  • 2011-12. WebMGA: a customizable web server for fast metagenomic sequence analysis in BMC GENOMICS
  • 2014-12. Autotrophy at the thermodynamic limit of life: a model for energy conservation in acetogenic bacteria in NATURE REVIEWS MICROBIOLOGY
  • 2015-10-07. Microbial metabolic networks in a complex electrogenic biofilm recovered from a stimulus-induced metatranscriptomics approach in SCIENTIFIC REPORTS
  • 2010-10. Microbial electrosynthesis — revisiting the electrical route for microbial production in NATURE REVIEWS MICROBIOLOGY
  • 2010-03. What is flux balance analysis? in NATURE BIOTECHNOLOGY
  • 2014-12. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 in GENOME BIOLOGY
  • 2011-05. EMIRGE: reconstruction of full-length ribosomal genes from microbial community short read sequencing data in GENOME BIOLOGY
  • 2010-09. High-throughput generation, optimization and analysis of genome-scale metabolic models in NATURE BIOTECHNOLOGY
  • 1998-10. Electron transfer between hydrogenases and mono- and multiheme cytochromes in Desulfovibrio ssp in JBIC JOURNAL OF BIOLOGICAL INORGANIC CHEMISTRY
  • 2013-12. A novel metatranscriptomic approach to identify gene expression dynamics during extracellular electron transfer in NATURE COMMUNICATIONS
  • 2009-12. BLAST+: architecture and applications in BMC BIOINFORMATICS
  • 2008-12. The RAST Server: Rapid Annotations using Subsystems Technology in BMC GENOMICS
  • 2013-06. Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes in NATURE BIOTECHNOLOGY
  • 2011-12. Analysis of the microbial community of the biocathode of a hydrogen-producing microbial electrolysis cell in APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
  • 2010-12. Prodigal: prokaryotic gene recognition and translation initiation site identification in BMC BIOINFORMATICS
  • 2009-08. Community-wide analysis of microbial genome sequence signatures in GENOME BIOLOGY
  • 1996-09. Sulfonates: novel electron acceptors in anaerobic respiration in ARCHIVES OF MICROBIOLOGY
  • 2007-04. Locating proteins in the cell using TargetP, SignalP and related tools in NATURE PROTOCOLS
  • 2008-12. The metagenomics RAST server – a public resource for the automatic phylogenetic and functional analysis of metagenomes in BMC BIOINFORMATICS
  • 2012-12. Ray Meta: scalable de novo metagenome assembly and profiling in GENOME BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-017-08877-z

    DOI

    http://dx.doi.org/10.1038/s41598-017-08877-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1091148387

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28827682


    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": "Acetates", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Acetobacterium", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bioelectric Energy Sources", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Campylobacteraceae", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carbon Dioxide", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Desulfovibrio", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Electricity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Electrodes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Electron Transport", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Expression Profiling", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genome, Bacterial", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Metabolic Networks and Pathways", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Pittsburgh", 
              "id": "https://www.grid.ac/institutes/grid.21925.3d", 
              "name": [
                "Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA", 
                "Department of Surgery, The University of Chicago, Chicago, Illinois, USA", 
                "Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marshall", 
            "givenName": "Christopher W.", 
            "id": "sg:person.0634176566.20", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634176566.20"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of South Carolina", 
              "id": "https://www.grid.ac/institutes/grid.254567.7", 
              "name": [
                "Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ross", 
            "givenName": "Daniel E.", 
            "id": "sg:person.0702311766.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702311766.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Auckland", 
              "id": "https://www.grid.ac/institutes/grid.9654.e", 
              "name": [
                "Computing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA", 
                "School of Biological Sciences, The University of Auckland, Auckland, New Zealand"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Handley", 
            "givenName": "Kim M.", 
            "id": "sg:person.0721445116.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721445116.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Argonne National Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.187073.a", 
              "name": [
                "Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Weisenhorn", 
            "givenName": "Pamela B.", 
            "id": "sg:person.013210051641.44", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013210051641.44"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Argonne National Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.187073.a", 
              "name": [
                "Computing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Edirisinghe", 
            "givenName": "Janaka N.", 
            "id": "sg:person.015470706405.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015470706405.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Argonne National Laboratory", 
              "id": "https://www.grid.ac/institutes/grid.187073.a", 
              "name": [
                "Computing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Henry", 
            "givenName": "Christopher S.", 
            "id": "sg:person.01134232120.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134232120.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Chicago", 
              "id": "https://www.grid.ac/institutes/grid.170205.1", 
              "name": [
                "Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA", 
                "Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA", 
                "Department of Surgery, The University of Chicago, Chicago, Illinois, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gilbert", 
            "givenName": "Jack A.", 
            "id": "sg:person.0727626545.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727626545.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical University of South Carolina", 
              "id": "https://www.grid.ac/institutes/grid.259828.c", 
              "name": [
                "Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, South Carolina, USA", 
                "Marine Biomedicine and Environmental Science Center, Medical University of South Carolina, Charleston, South Carolina, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "May", 
            "givenName": "Harold D.", 
            "id": "sg:person.01333710074.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333710074.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of South Carolina", 
              "id": "https://www.grid.ac/institutes/grid.254567.7", 
              "name": [
                "Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Norman", 
            "givenName": "R. Sean", 
            "id": "sg:person.01016540366.51", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016540366.51"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/gb-2011-12-5-r44", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000326175", 
              "https://doi.org/10.1186/gb-2011-12-5-r44"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0013033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004874031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00402310", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006058767", 
              "https://doi.org/10.1007/bf00402310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00402310", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006058767", 
              "https://doi.org/10.1007/bf00402310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-386", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006083026", 
              "https://doi.org/10.1186/1471-2105-9-386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.00023-10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006289908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/celc.201500530", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006562886"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006770979", 
              "https://doi.org/10.1038/nbt.1672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1672", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006770979", 
              "https://doi.org/10.1038/nbt.1672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.02947-14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007585777"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jb.182.5.1208-1214.2000", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009587766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0109935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010288341"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0109935", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010288341"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.2579", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010652073", 
              "https://doi.org/10.1038/nbt.2579"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.syapm.2013.05.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010670197"
            ], 
            "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/10.1093/nar/gkv397", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013758164"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2009-10-8-r85", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014147708", 
              "https://doi.org/10.1186/gb-2009-10-8-r85"
            ], 
            "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.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijhydene.2014.02.021", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015434468"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0330051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015834731"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/bst0330051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015834731"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2015.00201", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016831988"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/jb.187.9.3020-3027.2005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016852526"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/28.1.27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017305614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gks1219", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017730157"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0016649", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018283688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0151214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018291828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0151214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018291828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es902371e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018695585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es902371e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018695585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/aem.02401-12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019027451"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fmicb.2015.00575", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019215939"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0030827", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019652704"
            ], 
            "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": "https://doi.org/10.1073/pnas.0501216102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019826808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gks678", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019899672"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cssc.201100720", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020452954"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btu739", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020707112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1410551111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022315461"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro3365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022673681", 
              "https://doi.org/10.1038/nrmicro3365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1075-9964(03)00007-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024418131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1075-9964(03)00007-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024418131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btq461", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025904619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-11-119", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026423599", 
              "https://doi.org/10.1186/1471-2105-11-119"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/30.1.59", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027847585"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1462-2920.12589", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028312791"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep14840", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028416108", 
              "https://doi.org/10.1038/srep14840"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1462-2920.2006.01065.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028479521"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1112905109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028737009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00253-011-3583-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031391477", 
              "https://doi.org/10.1007/s00253-011-3583-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.electacta.2011.05.086", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032170339"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bioelechem.2010.07.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032567601"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep08365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034123211", 
              "https://doi.org/10.1038/srep08365"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mbio.00496-15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035677462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2007.131", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037402439", 
              "https://doi.org/10.1038/nprot.2007.131"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cssc.201100748", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037563898"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btp324", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038266369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s007750050259", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039597343", 
              "https://doi.org/10.1007/s007750050259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.copbio.2011.03.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042096590"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro2422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043805473", 
              "https://doi.org/10.1038/nrmicro2422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrmicro2422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043805473", 
              "https://doi.org/10.1038/nrmicro2422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/bts174", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044126939"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1614", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045259071", 
              "https://doi.org/10.1038/nbt.1614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1614", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045259071", 
              "https://doi.org/10.1038/nbt.1614"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es803531g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046208417"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es803531g", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046208417"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms2615", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046316035", 
              "https://doi.org/10.1038/ncomms2615"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-12-444", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047286088", 
              "https://doi.org/10.1186/1471-2164-12-444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1107543108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048500474"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002030050376", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050118986", 
              "https://doi.org/10.1007/s002030050376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-10-421", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050579230", 
              "https://doi.org/10.1186/1471-2105-10-421"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1758-2229.2010.00210.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050661774"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mbio.00103-10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051345173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.074492.107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051720574"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1574-6968.1984.tb01075.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052150003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1574-6968.1984.tb01075.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052150003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi0514360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055200926"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/bi0514360", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055200926"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es071720+", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055500922"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es071720+", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055500922"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/es400341b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055505948"
            ], 
            "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/10.1099/ijs.0.63807-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060386846"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1099/mic.0.067868-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060395562"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-12", 
        "datePublishedReg": "2017-12-01", 
        "description": "Microbial electrosynthesis is a renewable energy and chemical production platform that relies on microbial cells to capture electrons from a cathode and fix carbon. Yet despite the promise of this technology, the metabolic capacity of the microbes that inhabit the electrode surface and catalyze electron transfer in these systems remains largely unknown. We assembled thirteen draft genomes from a microbial electrosynthesis system producing primarily acetate from carbon dioxide, and their transcriptional activity was mapped to genomes from cells on the electrode surface and in the supernatant. This allowed us to create a metabolic model of the predominant community members belonging to Acetobacterium, Sulfurospirillum, and Desulfovibrio. According to the model, the Acetobacterium was the primary carbon fixer, and a keystone member of the community. Transcripts of soluble hydrogenases and ferredoxins from Acetobacterium and hydrogenases, formate dehydrogenase, and cytochromes of Desulfovibrio were found in high abundance near the electrode surface. Cytochrome c oxidases of facultative members of the community were highly expressed in the supernatant despite completely sealed reactors and constant flushing with anaerobic gases. These molecular discoveries and metabolic modeling now serve as a foundation for future examination and development of electrosynthetic microbial communities.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41598-017-08877-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "7"
          }
        ], 
        "name": "Metabolic Reconstruction and Modeling Microbial Electrosynthesis", 
        "pagination": "8391", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "2481af4032bb627e04d46b15f639b56d27026021232b32e37b34c07b1165b8e2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "28827682"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101563288"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-017-08877-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1091148387"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-017-08877-z", 
          "https://app.dimensions.ai/details/publication/pub.1091148387"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:27", 
        "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/v90/0000000356_0000000356/records_57900_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41598-017-08877-z"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-08877-z'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-08877-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-08877-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-017-08877-z'


     

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

    435 TRIPLES      21 PREDICATES      114 URIs      33 LITERALS      21 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-017-08877-z schema:about N01792f322bd1424583dfc0fa572f8346
    2 N1eb25e2cfecb4a1188b8ae5677994e8a
    3 N38744c2c0ae64ba3851bdc0c27dbe0dc
    4 N60db0c8ede604cb6894eebb15122df8b
    5 N6d17eacf8f6b432cb908774f9a1292f7
    6 N843137db96d24df082acb64603a941d5
    7 N888797ef45fe458ca8e399483da63d62
    8 N935e479989314320a88e69d7706bf388
    9 N9d1e8913d2264f7496ae045ffadbeb7c
    10 Nc063655e6e0640178e5829af089bc63d
    11 Ne4c48fbc12954ef8abc3c31d67848fa6
    12 Ne98ee7b683fe4147ad5de85f2213700e
    13 anzsrc-for:06
    14 anzsrc-for:0605
    15 schema:author Nb0d58e7918a946bcb352e785e7cc13b7
    16 schema:citation sg:pub.10.1007/bf00402310
    17 sg:pub.10.1007/s002030050376
    18 sg:pub.10.1007/s00253-011-3583-x
    19 sg:pub.10.1007/s007750050259
    20 sg:pub.10.1038/nbt.1614
    21 sg:pub.10.1038/nbt.1672
    22 sg:pub.10.1038/nbt.2579
    23 sg:pub.10.1038/ncomms2615
    24 sg:pub.10.1038/nprot.2007.131
    25 sg:pub.10.1038/nrmicro2422
    26 sg:pub.10.1038/nrmicro3365
    27 sg:pub.10.1038/srep08365
    28 sg:pub.10.1038/srep14840
    29 sg:pub.10.1186/1471-2105-10-421
    30 sg:pub.10.1186/1471-2105-11-119
    31 sg:pub.10.1186/1471-2105-9-386
    32 sg:pub.10.1186/1471-2164-12-444
    33 sg:pub.10.1186/1471-2164-9-75
    34 sg:pub.10.1186/gb-2009-10-8-r85
    35 sg:pub.10.1186/gb-2011-12-5-r44
    36 sg:pub.10.1186/gb-2012-13-12-r122
    37 sg:pub.10.1186/s13059-014-0550-8
    38 https://doi.org/10.1002/celc.201500530
    39 https://doi.org/10.1002/cssc.201100720
    40 https://doi.org/10.1002/cssc.201100748
    41 https://doi.org/10.1016/j.bioelechem.2010.07.005
    42 https://doi.org/10.1016/j.copbio.2011.03.003
    43 https://doi.org/10.1016/j.electacta.2011.05.086
    44 https://doi.org/10.1016/j.ijhydene.2014.02.021
    45 https://doi.org/10.1016/j.syapm.2013.05.004
    46 https://doi.org/10.1016/s1075-9964(03)00007-6
    47 https://doi.org/10.1021/bi0514360
    48 https://doi.org/10.1021/es071720+
    49 https://doi.org/10.1021/es400341b
    50 https://doi.org/10.1021/es803531g
    51 https://doi.org/10.1021/es902371e
    52 https://doi.org/10.1042/bst0330051
    53 https://doi.org/10.1073/pnas.0501216102
    54 https://doi.org/10.1073/pnas.1107543108
    55 https://doi.org/10.1073/pnas.1112905109
    56 https://doi.org/10.1073/pnas.1410551111
    57 https://doi.org/10.1089/cmb.2012.0021
    58 https://doi.org/10.1093/bioinformatics/btp324
    59 https://doi.org/10.1093/bioinformatics/btq461
    60 https://doi.org/10.1093/bioinformatics/bts174
    61 https://doi.org/10.1093/bioinformatics/btu739
    62 https://doi.org/10.1093/nar/28.1.27
    63 https://doi.org/10.1093/nar/30.1.59
    64 https://doi.org/10.1093/nar/gks1219
    65 https://doi.org/10.1093/nar/gks678
    66 https://doi.org/10.1093/nar/gkv397
    67 https://doi.org/10.1099/ijs.0.63807-0
    68 https://doi.org/10.1099/mic.0.067868-0
    69 https://doi.org/10.1101/gr.074492.107
    70 https://doi.org/10.1101/gr.186072.114
    71 https://doi.org/10.1111/1462-2920.12589
    72 https://doi.org/10.1111/j.1462-2920.2006.01065.x
    73 https://doi.org/10.1111/j.1574-6968.1984.tb01075.x
    74 https://doi.org/10.1111/j.1758-2229.2010.00210.x
    75 https://doi.org/10.1128/aem.00023-10
    76 https://doi.org/10.1128/aem.02401-12
    77 https://doi.org/10.1128/aem.02947-14
    78 https://doi.org/10.1128/jb.182.5.1208-1214.2000
    79 https://doi.org/10.1128/jb.187.9.3020-3027.2005
    80 https://doi.org/10.1128/mbio.00103-10
    81 https://doi.org/10.1128/mbio.00496-15
    82 https://doi.org/10.1371/journal.pone.0013033
    83 https://doi.org/10.1371/journal.pone.0016649
    84 https://doi.org/10.1371/journal.pone.0030827
    85 https://doi.org/10.1371/journal.pone.0109935
    86 https://doi.org/10.1371/journal.pone.0151214
    87 https://doi.org/10.3389/fmicb.2015.00201
    88 https://doi.org/10.3389/fmicb.2015.00575
    89 schema:datePublished 2017-12
    90 schema:datePublishedReg 2017-12-01
    91 schema:description Microbial electrosynthesis is a renewable energy and chemical production platform that relies on microbial cells to capture electrons from a cathode and fix carbon. Yet despite the promise of this technology, the metabolic capacity of the microbes that inhabit the electrode surface and catalyze electron transfer in these systems remains largely unknown. We assembled thirteen draft genomes from a microbial electrosynthesis system producing primarily acetate from carbon dioxide, and their transcriptional activity was mapped to genomes from cells on the electrode surface and in the supernatant. This allowed us to create a metabolic model of the predominant community members belonging to Acetobacterium, Sulfurospirillum, and Desulfovibrio. According to the model, the Acetobacterium was the primary carbon fixer, and a keystone member of the community. Transcripts of soluble hydrogenases and ferredoxins from Acetobacterium and hydrogenases, formate dehydrogenase, and cytochromes of Desulfovibrio were found in high abundance near the electrode surface. Cytochrome c oxidases of facultative members of the community were highly expressed in the supernatant despite completely sealed reactors and constant flushing with anaerobic gases. These molecular discoveries and metabolic modeling now serve as a foundation for future examination and development of electrosynthetic microbial communities.
    92 schema:genre research_article
    93 schema:inLanguage en
    94 schema:isAccessibleForFree true
    95 schema:isPartOf N4ae275c2902247618517591ff9004c02
    96 Naebab5518f314846b5977f14b2e8774b
    97 sg:journal.1045337
    98 schema:name Metabolic Reconstruction and Modeling Microbial Electrosynthesis
    99 schema:pagination 8391
    100 schema:productId N0123ea4fef354d639a8017624b1ed903
    101 N0ec19871020649e99c294254fbc455a3
    102 N17866ea9401c40a8866b59ee20b4aa13
    103 N936c7f8eeb9040c59159e1a8f9f8c525
    104 Nb3020ca8b2a94d1c94cea9032919274c
    105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091148387
    106 https://doi.org/10.1038/s41598-017-08877-z
    107 schema:sdDatePublished 2019-04-11T11:27
    108 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    109 schema:sdPublisher Ndd4c58015ac049569fe4bf726e1f31b6
    110 schema:url https://www.nature.com/articles/s41598-017-08877-z
    111 sgo:license sg:explorer/license/
    112 sgo:sdDataset articles
    113 rdf:type schema:ScholarlyArticle
    114 N0123ea4fef354d639a8017624b1ed903 schema:name dimensions_id
    115 schema:value pub.1091148387
    116 rdf:type schema:PropertyValue
    117 N01792f322bd1424583dfc0fa572f8346 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Metabolic Networks and Pathways
    119 rdf:type schema:DefinedTerm
    120 N0ec19871020649e99c294254fbc455a3 schema:name pubmed_id
    121 schema:value 28827682
    122 rdf:type schema:PropertyValue
    123 N17866ea9401c40a8866b59ee20b4aa13 schema:name nlm_unique_id
    124 schema:value 101563288
    125 rdf:type schema:PropertyValue
    126 N19ea9e2050124f83a8cfc3f5ddf7fb1c rdf:first sg:person.0721445116.33
    127 rdf:rest N43183b5d391843f88d0252e5ad47c238
    128 N1eb25e2cfecb4a1188b8ae5677994e8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Electricity
    130 rdf:type schema:DefinedTerm
    131 N38744c2c0ae64ba3851bdc0c27dbe0dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Gene Expression Profiling
    133 rdf:type schema:DefinedTerm
    134 N43183b5d391843f88d0252e5ad47c238 rdf:first sg:person.013210051641.44
    135 rdf:rest Nbe573ff6bb8c4eab974d49725d8703df
    136 N4ae275c2902247618517591ff9004c02 schema:issueNumber 1
    137 rdf:type schema:PublicationIssue
    138 N4b4872bf7baf471c8707ecc2a8f9ef50 rdf:first sg:person.0702311766.24
    139 rdf:rest N19ea9e2050124f83a8cfc3f5ddf7fb1c
    140 N5ff8c69c639a4ea0ac3347e7b6466d35 rdf:first sg:person.01016540366.51
    141 rdf:rest rdf:nil
    142 N60db0c8ede604cb6894eebb15122df8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    143 schema:name Bioelectric Energy Sources
    144 rdf:type schema:DefinedTerm
    145 N6d17eacf8f6b432cb908774f9a1292f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    146 schema:name Carbon Dioxide
    147 rdf:type schema:DefinedTerm
    148 N843137db96d24df082acb64603a941d5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    149 schema:name Electrodes
    150 rdf:type schema:DefinedTerm
    151 N888797ef45fe458ca8e399483da63d62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    152 schema:name Desulfovibrio
    153 rdf:type schema:DefinedTerm
    154 N935e479989314320a88e69d7706bf388 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    155 schema:name Campylobacteraceae
    156 rdf:type schema:DefinedTerm
    157 N936c7f8eeb9040c59159e1a8f9f8c525 schema:name readcube_id
    158 schema:value 2481af4032bb627e04d46b15f639b56d27026021232b32e37b34c07b1165b8e2
    159 rdf:type schema:PropertyValue
    160 N9d1e8913d2264f7496ae045ffadbeb7c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    161 schema:name Acetates
    162 rdf:type schema:DefinedTerm
    163 Naebab5518f314846b5977f14b2e8774b schema:volumeNumber 7
    164 rdf:type schema:PublicationVolume
    165 Nb0d58e7918a946bcb352e785e7cc13b7 rdf:first sg:person.0634176566.20
    166 rdf:rest N4b4872bf7baf471c8707ecc2a8f9ef50
    167 Nb3020ca8b2a94d1c94cea9032919274c schema:name doi
    168 schema:value 10.1038/s41598-017-08877-z
    169 rdf:type schema:PropertyValue
    170 Nbe573ff6bb8c4eab974d49725d8703df rdf:first sg:person.015470706405.76
    171 rdf:rest Nfec961d0faf74f30aa06dab28e0a38be
    172 Nc063655e6e0640178e5829af089bc63d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Electron Transport
    174 rdf:type schema:DefinedTerm
    175 Ndd4c58015ac049569fe4bf726e1f31b6 schema:name Springer Nature - SN SciGraph project
    176 rdf:type schema:Organization
    177 Ne4c48fbc12954ef8abc3c31d67848fa6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    178 schema:name Acetobacterium
    179 rdf:type schema:DefinedTerm
    180 Ne98ee7b683fe4147ad5de85f2213700e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    181 schema:name Genome, Bacterial
    182 rdf:type schema:DefinedTerm
    183 Nec16d2eb203e426291bedf5d950851b9 rdf:first sg:person.01333710074.83
    184 rdf:rest N5ff8c69c639a4ea0ac3347e7b6466d35
    185 Nf1442add642a45daa6faa497f7c71bef rdf:first sg:person.0727626545.37
    186 rdf:rest Nec16d2eb203e426291bedf5d950851b9
    187 Nfec961d0faf74f30aa06dab28e0a38be rdf:first sg:person.01134232120.92
    188 rdf:rest Nf1442add642a45daa6faa497f7c71bef
    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:journal.1045337 schema:issn 2045-2322
    196 schema:name Scientific Reports
    197 rdf:type schema:Periodical
    198 sg:person.01016540366.51 schema:affiliation https://www.grid.ac/institutes/grid.254567.7
    199 schema:familyName Norman
    200 schema:givenName R. Sean
    201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016540366.51
    202 rdf:type schema:Person
    203 sg:person.01134232120.92 schema:affiliation https://www.grid.ac/institutes/grid.187073.a
    204 schema:familyName Henry
    205 schema:givenName Christopher S.
    206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134232120.92
    207 rdf:type schema:Person
    208 sg:person.013210051641.44 schema:affiliation https://www.grid.ac/institutes/grid.187073.a
    209 schema:familyName Weisenhorn
    210 schema:givenName Pamela B.
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013210051641.44
    212 rdf:type schema:Person
    213 sg:person.01333710074.83 schema:affiliation https://www.grid.ac/institutes/grid.259828.c
    214 schema:familyName May
    215 schema:givenName Harold D.
    216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333710074.83
    217 rdf:type schema:Person
    218 sg:person.015470706405.76 schema:affiliation https://www.grid.ac/institutes/grid.187073.a
    219 schema:familyName Edirisinghe
    220 schema:givenName Janaka N.
    221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015470706405.76
    222 rdf:type schema:Person
    223 sg:person.0634176566.20 schema:affiliation https://www.grid.ac/institutes/grid.21925.3d
    224 schema:familyName Marshall
    225 schema:givenName Christopher W.
    226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634176566.20
    227 rdf:type schema:Person
    228 sg:person.0702311766.24 schema:affiliation https://www.grid.ac/institutes/grid.254567.7
    229 schema:familyName Ross
    230 schema:givenName Daniel E.
    231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702311766.24
    232 rdf:type schema:Person
    233 sg:person.0721445116.33 schema:affiliation https://www.grid.ac/institutes/grid.9654.e
    234 schema:familyName Handley
    235 schema:givenName Kim M.
    236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721445116.33
    237 rdf:type schema:Person
    238 sg:person.0727626545.37 schema:affiliation https://www.grid.ac/institutes/grid.170205.1
    239 schema:familyName Gilbert
    240 schema:givenName Jack A.
    241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727626545.37
    242 rdf:type schema:Person
    243 sg:pub.10.1007/bf00402310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006058767
    244 https://doi.org/10.1007/bf00402310
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1007/s002030050376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050118986
    247 https://doi.org/10.1007/s002030050376
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1007/s00253-011-3583-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031391477
    250 https://doi.org/10.1007/s00253-011-3583-x
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/s007750050259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039597343
    253 https://doi.org/10.1007/s007750050259
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1038/nbt.1614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045259071
    256 https://doi.org/10.1038/nbt.1614
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nbt.1672 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006770979
    259 https://doi.org/10.1038/nbt.1672
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/nbt.2579 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010652073
    262 https://doi.org/10.1038/nbt.2579
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/ncomms2615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046316035
    265 https://doi.org/10.1038/ncomms2615
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1038/nprot.2007.131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037402439
    268 https://doi.org/10.1038/nprot.2007.131
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1038/nrmicro2422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043805473
    271 https://doi.org/10.1038/nrmicro2422
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1038/nrmicro3365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022673681
    274 https://doi.org/10.1038/nrmicro3365
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1038/srep08365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034123211
    277 https://doi.org/10.1038/srep08365
    278 rdf:type schema:CreativeWork
    279 sg:pub.10.1038/srep14840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028416108
    280 https://doi.org/10.1038/srep14840
    281 rdf:type schema:CreativeWork
    282 sg:pub.10.1186/1471-2105-10-421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050579230
    283 https://doi.org/10.1186/1471-2105-10-421
    284 rdf:type schema:CreativeWork
    285 sg:pub.10.1186/1471-2105-11-119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026423599
    286 https://doi.org/10.1186/1471-2105-11-119
    287 rdf:type schema:CreativeWork
    288 sg:pub.10.1186/1471-2105-9-386 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006083026
    289 https://doi.org/10.1186/1471-2105-9-386
    290 rdf:type schema:CreativeWork
    291 sg:pub.10.1186/1471-2164-12-444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047286088
    292 https://doi.org/10.1186/1471-2164-12-444
    293 rdf:type schema:CreativeWork
    294 sg:pub.10.1186/1471-2164-9-75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013431920
    295 https://doi.org/10.1186/1471-2164-9-75
    296 rdf:type schema:CreativeWork
    297 sg:pub.10.1186/gb-2009-10-8-r85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014147708
    298 https://doi.org/10.1186/gb-2009-10-8-r85
    299 rdf:type schema:CreativeWork
    300 sg:pub.10.1186/gb-2011-12-5-r44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000326175
    301 https://doi.org/10.1186/gb-2011-12-5-r44
    302 rdf:type schema:CreativeWork
    303 sg:pub.10.1186/gb-2012-13-12-r122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019755831
    304 https://doi.org/10.1186/gb-2012-13-12-r122
    305 rdf:type schema:CreativeWork
    306 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
    307 https://doi.org/10.1186/s13059-014-0550-8
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1002/celc.201500530 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006562886
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1002/cssc.201100720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020452954
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.1002/cssc.201100748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037563898
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.1016/j.bioelechem.2010.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032567601
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.1016/j.copbio.2011.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042096590
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.1016/j.electacta.2011.05.086 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032170339
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.1016/j.ijhydene.2014.02.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015434468
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.1016/j.syapm.2013.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010670197
    324 rdf:type schema:CreativeWork
    325 https://doi.org/10.1016/s1075-9964(03)00007-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024418131
    326 rdf:type schema:CreativeWork
    327 https://doi.org/10.1021/bi0514360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055200926
    328 rdf:type schema:CreativeWork
    329 https://doi.org/10.1021/es071720+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1055500922
    330 rdf:type schema:CreativeWork
    331 https://doi.org/10.1021/es400341b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055505948
    332 rdf:type schema:CreativeWork
    333 https://doi.org/10.1021/es803531g schema:sameAs https://app.dimensions.ai/details/publication/pub.1046208417
    334 rdf:type schema:CreativeWork
    335 https://doi.org/10.1021/es902371e schema:sameAs https://app.dimensions.ai/details/publication/pub.1018695585
    336 rdf:type schema:CreativeWork
    337 https://doi.org/10.1042/bst0330051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015834731
    338 rdf:type schema:CreativeWork
    339 https://doi.org/10.1073/pnas.0501216102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019826808
    340 rdf:type schema:CreativeWork
    341 https://doi.org/10.1073/pnas.1107543108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048500474
    342 rdf:type schema:CreativeWork
    343 https://doi.org/10.1073/pnas.1112905109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028737009
    344 rdf:type schema:CreativeWork
    345 https://doi.org/10.1073/pnas.1410551111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022315461
    346 rdf:type schema:CreativeWork
    347 https://doi.org/10.1089/cmb.2012.0021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059246094
    348 rdf:type schema:CreativeWork
    349 https://doi.org/10.1093/bioinformatics/btp324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038266369
    350 rdf:type schema:CreativeWork
    351 https://doi.org/10.1093/bioinformatics/btq461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025904619
    352 rdf:type schema:CreativeWork
    353 https://doi.org/10.1093/bioinformatics/bts174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044126939
    354 rdf:type schema:CreativeWork
    355 https://doi.org/10.1093/bioinformatics/btu739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020707112
    356 rdf:type schema:CreativeWork
    357 https://doi.org/10.1093/nar/28.1.27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017305614
    358 rdf:type schema:CreativeWork
    359 https://doi.org/10.1093/nar/30.1.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027847585
    360 rdf:type schema:CreativeWork
    361 https://doi.org/10.1093/nar/gks1219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017730157
    362 rdf:type schema:CreativeWork
    363 https://doi.org/10.1093/nar/gks678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019899672
    364 rdf:type schema:CreativeWork
    365 https://doi.org/10.1093/nar/gkv397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013758164
    366 rdf:type schema:CreativeWork
    367 https://doi.org/10.1099/ijs.0.63807-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060386846
    368 rdf:type schema:CreativeWork
    369 https://doi.org/10.1099/mic.0.067868-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060395562
    370 rdf:type schema:CreativeWork
    371 https://doi.org/10.1101/gr.074492.107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051720574
    372 rdf:type schema:CreativeWork
    373 https://doi.org/10.1101/gr.186072.114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015107573
    374 rdf:type schema:CreativeWork
    375 https://doi.org/10.1111/1462-2920.12589 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028312791
    376 rdf:type schema:CreativeWork
    377 https://doi.org/10.1111/j.1462-2920.2006.01065.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028479521
    378 rdf:type schema:CreativeWork
    379 https://doi.org/10.1111/j.1574-6968.1984.tb01075.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052150003
    380 rdf:type schema:CreativeWork
    381 https://doi.org/10.1111/j.1758-2229.2010.00210.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050661774
    382 rdf:type schema:CreativeWork
    383 https://doi.org/10.1128/aem.00023-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006289908
    384 rdf:type schema:CreativeWork
    385 https://doi.org/10.1128/aem.02401-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019027451
    386 rdf:type schema:CreativeWork
    387 https://doi.org/10.1128/aem.02947-14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007585777
    388 rdf:type schema:CreativeWork
    389 https://doi.org/10.1128/jb.182.5.1208-1214.2000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009587766
    390 rdf:type schema:CreativeWork
    391 https://doi.org/10.1128/jb.187.9.3020-3027.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016852526
    392 rdf:type schema:CreativeWork
    393 https://doi.org/10.1128/mbio.00103-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051345173
    394 rdf:type schema:CreativeWork
    395 https://doi.org/10.1128/mbio.00496-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035677462
    396 rdf:type schema:CreativeWork
    397 https://doi.org/10.1371/journal.pone.0013033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004874031
    398 rdf:type schema:CreativeWork
    399 https://doi.org/10.1371/journal.pone.0016649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018283688
    400 rdf:type schema:CreativeWork
    401 https://doi.org/10.1371/journal.pone.0030827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019652704
    402 rdf:type schema:CreativeWork
    403 https://doi.org/10.1371/journal.pone.0109935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010288341
    404 rdf:type schema:CreativeWork
    405 https://doi.org/10.1371/journal.pone.0151214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018291828
    406 rdf:type schema:CreativeWork
    407 https://doi.org/10.3389/fmicb.2015.00201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016831988
    408 rdf:type schema:CreativeWork
    409 https://doi.org/10.3389/fmicb.2015.00575 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019215939
    410 rdf:type schema:CreativeWork
    411 https://www.grid.ac/institutes/grid.170205.1 schema:alternateName University of Chicago
    412 schema:name Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA
    413 Department of Ecology and Evolution, The University of Chicago, Chicago, Illinois, USA
    414 Department of Surgery, The University of Chicago, Chicago, Illinois, USA
    415 rdf:type schema:Organization
    416 https://www.grid.ac/institutes/grid.187073.a schema:alternateName Argonne National Laboratory
    417 schema:name Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA
    418 Computing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA
    419 rdf:type schema:Organization
    420 https://www.grid.ac/institutes/grid.21925.3d schema:alternateName University of Pittsburgh
    421 schema:name Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA
    422 Department of Microbiology and Molecular Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States
    423 Department of Surgery, The University of Chicago, Chicago, Illinois, USA
    424 rdf:type schema:Organization
    425 https://www.grid.ac/institutes/grid.254567.7 schema:alternateName University of South Carolina
    426 schema:name Department of Environmental Health Sciences, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
    427 rdf:type schema:Organization
    428 https://www.grid.ac/institutes/grid.259828.c schema:alternateName Medical University of South Carolina
    429 schema:name Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, South Carolina, USA
    430 Marine Biomedicine and Environmental Science Center, Medical University of South Carolina, Charleston, South Carolina, USA
    431 rdf:type schema:Organization
    432 https://www.grid.ac/institutes/grid.9654.e schema:alternateName University of Auckland
    433 schema:name Computing, Environment, and Life Sciences, Argonne National Laboratory, Argonne, Illinois, USA
    434 School of Biological Sciences, The University of Auckland, Auckland, New Zealand
    435 rdf:type schema:Organization
     




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


    ...