Metabolically active microbial communities in marine sediment under high-CO2 and low-pH extremes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-03

AUTHORS

Katsunori Yanagawa, Yuki Morono, Dirk de Beer, Matthias Haeckel, Michinari Sunamura, Taiki Futagami, Tatsuhiko Hoshino, Takeshi Terada, Ko-ichi Nakamura, Tetsuro Urabe, Gregor Rehder, Antje Boetius, Fumio Inagaki

ABSTRACT

Sediment-hosting hydrothermal systems in the Okinawa Trough maintain a large amount of liquid, supercritical and hydrate phases of CO(2) in the seabed. The emission of CO(2) may critically impact the geochemical, geophysical and ecological characteristics of the deep-sea sedimentary environment. So far it remains unclear whether microbial communities that have been detected in such high-CO(2) and low-pH habitats are metabolically active, and if so, what the biogeochemical and ecological consequences for the environment are. In this study, RNA-based molecular approaches and radioactive tracer-based respiration rate assays were combined to study the density, diversity and metabolic activity of microbial communities in CO(2)-seep sediment at the Yonaguni Knoll IV hydrothermal field of the southern Okinawa Trough. In general, the number of microbes decreased sharply with increasing sediment depth and CO(2) concentration. Phylogenetic analyses of community structure using reverse-transcribed 16S ribosomal RNA showed that the active microbial community became less diverse with increasing sediment depth and CO(2) concentration, indicating that microbial activity and community structure are sensitive to CO(2) venting. Analyses of RNA-based pyrosequences and catalyzed reporter deposition-fluorescence in situ hybridization data revealed that members of the SEEP-SRB2 group within the Deltaproteobacteria and anaerobic methanotrophic archaea (ANME-2a and -2c) were confined to the top seafloor, and active archaea were not detected in deeper sediments (13-30 cm in depth) characterized by high CO(2). Measurement of the potential sulfate reduction rate at pH conditions of 3-9 with and without methane in the headspace indicated that acidophilic sulfate reduction possibly occurs in the presence of methane, even at very low pH of 3. These results suggest that some members of the anaerobic methanotrophs and sulfate reducers can adapt to the CO(2)-seep sedimentary environment; however, CO(2) and pH in the deep-sea sediment were found to severely impact the activity and structure of the microbial community. More... »

PAGES

555

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ismej.2012.124

DOI

http://dx.doi.org/10.1038/ismej.2012.124

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005814785

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23096400


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": "Archaea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacteria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacterial Load", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacterial Physiological Phenomena", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biodiversity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carbon Dioxide", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Environment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Geologic Sediments", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hydrogen-Ion Concentration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Methane", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "RNA, Ribosomal, 16S", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sulfates", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Temperature", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Japan Agency for Marine-Earth Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.410588.0", 
          "name": [
            "Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo, Japan", 
            "Geomicrobiology Group, Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yanagawa", 
        "givenName": "Katsunori", 
        "id": "sg:person.01303227130.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303227130.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Agency for Marine-Earth Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.410588.0", 
          "name": [
            "Geomicrobiology Group, Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan", 
            "Geobio-Engineering and Technology Group, Submarine Resources Research Project, JAMSTEC, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morono", 
        "givenName": "Yuki", 
        "id": "sg:person.01115454246.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115454246.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute for Marine Microbiology", 
          "id": "https://www.grid.ac/institutes/grid.419529.2", 
          "name": [
            "Max Planck Institute for Marine Microbiology, Bremen, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Beer", 
        "givenName": "Dirk", 
        "id": "sg:person.0724424155.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724424155.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "GEOMAR Helmholtz Centre for Ocean Research Kiel", 
          "id": "https://www.grid.ac/institutes/grid.15649.3f", 
          "name": [
            "Leibniz Institute for Marine Sciences (IFM-GEOMAR), Kiel, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haeckel", 
        "givenName": "Matthias", 
        "id": "sg:person.013256744427.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013256744427.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sunamura", 
        "givenName": "Michinari", 
        "id": "sg:person.0766305016.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766305016.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Agency for Marine-Earth Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.410588.0", 
          "name": [
            "Geomicrobiology Group, Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Futagami", 
        "givenName": "Taiki", 
        "id": "sg:person.01353156546.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353156546.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Agency for Marine-Earth Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.410588.0", 
          "name": [
            "Geomicrobiology Group, Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan", 
            "Geobio-Engineering and Technology Group, Submarine Resources Research Project, JAMSTEC, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoshino", 
        "givenName": "Tatsuhiko", 
        "id": "sg:person.0615370666.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615370666.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Marine Works Japan, Ltd., Yokosuka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Terada", 
        "givenName": "Takeshi", 
        "id": "sg:person.0644520672.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644520672.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Advanced Industrial Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.208504.b", 
          "name": [
            "Institute of Geology and Geoinformation, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakamura", 
        "givenName": "Ko-ichi", 
        "id": "sg:person.015562150143.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015562150143.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Urabe", 
        "givenName": "Tetsuro", 
        "id": "sg:person.01361612206.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361612206.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Leibniz Institute for Baltic Sea Research", 
          "id": "https://www.grid.ac/institutes/grid.423940.8", 
          "name": [
            "Department of Marine Chemistry, Leibniz Institute for Baltic Sea Research Warnem\u00fcnde, Rostock, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rehder", 
        "givenName": "Gregor", 
        "id": "sg:person.012625716463.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012625716463.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute for Marine Microbiology", 
          "id": "https://www.grid.ac/institutes/grid.419529.2", 
          "name": [
            "Max Planck Institute for Marine Microbiology, Bremen, Germany", 
            "HGF MPG Group for Deep Sea Ecology and Technology, Alfred Wegener Institute for Polar and Marine Research in the Helmholtz Association, Bremerhaven, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boetius", 
        "givenName": "Antje", 
        "id": "sg:person.0776015777.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776015777.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Agency for Marine-Earth Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.410588.0", 
          "name": [
            "Geomicrobiology Group, Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan", 
            "Geobio-Engineering and Technology Group, Submarine Resources Research Project, JAMSTEC, Nankoku, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inagaki", 
        "givenName": "Fumio", 
        "id": "sg:person.0730612155.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730612155.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1029/2006gl026115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000549771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1264/jsme2.me12032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001788241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1462-2920.2002.00294.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001851780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/ijs.0.02682-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002091631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00886-06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002418436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/sd-9-32-2010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003476284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2011.77", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005136127", 
          "https://doi.org/10.1038/ismej.2011.77"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0008738", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005647612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2012.02832.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006694491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.2009.01648.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008094196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.70.2.1231-1233.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009015713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0606709103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009050666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lom.2004.2.171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010094926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkm864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010797283"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-5193(66)90133-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011080152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0304-4203(99)00091-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011265240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lom.2008.6.236", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011509201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bth226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012309503"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4319/lo.2006.51.3.1315", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016182172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1750-5836(07)00092-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016394686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016847050", 
          "https://doi.org/10.1038/nature07051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.micro.61.080706.093130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018437724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0606083103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022148891"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nclimate1122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023056068", 
          "https://doi.org/10.1038/nclimate1122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.072210299", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024519235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2011.00231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024949880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01490451003709334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025900537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027852012", 
          "https://doi.org/10.1038/nature05227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027852012", 
          "https://doi.org/10.1038/nature05227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature05227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027852012", 
          "https://doi.org/10.1038/nature05227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1751-3928.2008.00061.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028007625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.89.12.5685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028669064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01490450303896", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029609790"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2008.00636.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030688520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jb005467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031902244"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.02272-07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034300612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2009.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036475965", 
          "https://doi.org/10.1038/ismej.2009.1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01541-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038354310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gc001152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040341882"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00002889", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042936435", 
          "https://doi.org/10.1007/bf00002889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10872-004-5768-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043108374", 
          "https://doi.org/10.1007/s10872-004-5768-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10872-004-5768-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043108374", 
          "https://doi.org/10.1007/s10872-004-5768-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ismej.2011.164", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043792151", 
          "https://doi.org/10.1038/ismej.2011.164"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35036572", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044282621", 
          "https://doi.org/10.1038/35036572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35036572", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044282621", 
          "https://doi.org/10.1038/35036572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0605318103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044853715"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn879", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044918953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.68.4.1994-2007.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045384945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2004.00669.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045740174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-7-57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047071659", 
          "https://doi.org/10.1186/1471-2105-7-57"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkh293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047454621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00574-06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048394341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00924-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049152798"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.68.6.3094-3101.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049886984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051856155", 
          "https://doi.org/10.1038/ngeo500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ngeo500", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051856155", 
          "https://doi.org/10.1038/ngeo500"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac960091b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055072607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac960091b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055072607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.248.4959.1093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062539742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2531532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069976974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077156194", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077202412", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078463618", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082403100", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-03", 
    "datePublishedReg": "2013-03-01", 
    "description": "Sediment-hosting hydrothermal systems in the Okinawa Trough maintain a large amount of liquid, supercritical and hydrate phases of CO(2) in the seabed. The emission of CO(2) may critically impact the geochemical, geophysical and ecological characteristics of the deep-sea sedimentary environment. So far it remains unclear whether microbial communities that have been detected in such high-CO(2) and low-pH habitats are metabolically active, and if so, what the biogeochemical and ecological consequences for the environment are. In this study, RNA-based molecular approaches and radioactive tracer-based respiration rate assays were combined to study the density, diversity and metabolic activity of microbial communities in CO(2)-seep sediment at the Yonaguni Knoll IV hydrothermal field of the southern Okinawa Trough. In general, the number of microbes decreased sharply with increasing sediment depth and CO(2) concentration. Phylogenetic analyses of community structure using reverse-transcribed 16S ribosomal RNA showed that the active microbial community became less diverse with increasing sediment depth and CO(2) concentration, indicating that microbial activity and community structure are sensitive to CO(2) venting. Analyses of RNA-based pyrosequences and catalyzed reporter deposition-fluorescence in situ hybridization data revealed that members of the SEEP-SRB2 group within the Deltaproteobacteria and anaerobic methanotrophic archaea (ANME-2a and -2c) were confined to the top seafloor, and active archaea were not detected in deeper sediments (13-30 cm in depth) characterized by high CO(2). Measurement of the potential sulfate reduction rate at pH conditions of 3-9 with and without methane in the headspace indicated that acidophilic sulfate reduction possibly occurs in the presence of methane, even at very low pH of 3. These results suggest that some members of the anaerobic methanotrophs and sulfate reducers can adapt to the CO(2)-seep sedimentary environment; however, CO(2) and pH in the deep-sea sediment were found to severely impact the activity and structure of the microbial community.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/ismej.2012.124", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5614801", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5994754", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5992487", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1038436", 
        "issn": [
          "1751-7362", 
          "1751-7370"
        ], 
        "name": "The ISME Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Metabolically active microbial communities in marine sediment under high-CO2 and low-pH extremes", 
    "pagination": "555", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1bb38e3a7f7d5ad9d8c7a924d87c3098e91de02eb1640152da65b4bbb3c9569b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23096400"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101301086"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/ismej.2012.124"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1005814785"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/ismej.2012.124", 
      "https://app.dimensions.ai/details/publication/pub.1005814785"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:47", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000434.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/ismej2012124"
  }
]
 

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/ismej.2012.124'

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/ismej.2012.124'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ismej.2012.124'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ismej.2012.124'


 

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

416 TRIPLES      21 PREDICATES      101 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/ismej.2012.124 schema:about N05b22a9f2c334222941355f64a40de93
2 N11c9112b10004c6b8cfec5a6a4d9a017
3 N43fad7ec39a44d31a9de3d0c46ee8545
4 N5eeabc367e3d4889be8978ab13e77b44
5 N6063a96efaef4b18816569b7eb09fcee
6 N8b1b833f66cc43d0abfce787cbce376e
7 N8fb3b2f564214680b94d3cc174bfbea6
8 N9d471cc706e04ed3a94bf807880d482f
9 Nb466aeeb9ec7403eab65eb11bfadaaee
10 Nbc4af4547be8412283683cb4bcd61c77
11 Ncfa6f2cc30404487997c854a0a408b2d
12 Ne23baedc8bfb4c3ba5c5e40f1eb07f1e
13 Nf84ca7762f5d4b119df3422b7ba78502
14 Nfcc21d17f8ec422b99af856610df4ff7
15 anzsrc-for:06
16 anzsrc-for:0605
17 schema:author N0b759b00af0541879c2b4e64e879214f
18 schema:citation sg:pub.10.1007/bf00002889
19 sg:pub.10.1007/s10872-004-5768-8
20 sg:pub.10.1038/35036572
21 sg:pub.10.1038/ismej.2009.1
22 sg:pub.10.1038/ismej.2011.164
23 sg:pub.10.1038/ismej.2011.77
24 sg:pub.10.1038/nature05227
25 sg:pub.10.1038/nature07051
26 sg:pub.10.1038/nclimate1122
27 sg:pub.10.1038/ngeo500
28 sg:pub.10.1186/1471-2105-7-57
29 https://app.dimensions.ai/details/publication/pub.1077156194
30 https://app.dimensions.ai/details/publication/pub.1077202412
31 https://app.dimensions.ai/details/publication/pub.1078463618
32 https://app.dimensions.ai/details/publication/pub.1082403100
33 https://doi.org/10.1016/0022-5193(66)90133-0
34 https://doi.org/10.1016/s0304-4203(99)00091-2
35 https://doi.org/10.1016/s1750-5836(07)00092-8
36 https://doi.org/10.1021/ac960091b
37 https://doi.org/10.1029/2005gc001152
38 https://doi.org/10.1029/2006gl026115
39 https://doi.org/10.1029/2007jb005467
40 https://doi.org/10.1046/j.1462-2920.2002.00294.x
41 https://doi.org/10.1073/pnas.0605318103
42 https://doi.org/10.1073/pnas.0606083103
43 https://doi.org/10.1073/pnas.0606709103
44 https://doi.org/10.1073/pnas.072210299
45 https://doi.org/10.1073/pnas.89.12.5685
46 https://doi.org/10.1080/01490450303896
47 https://doi.org/10.1080/01490451003709334
48 https://doi.org/10.1093/bioinformatics/bth226
49 https://doi.org/10.1093/nar/gkh293
50 https://doi.org/10.1093/nar/gkm864
51 https://doi.org/10.1093/nar/gkn879
52 https://doi.org/10.1099/ijs.0.02682-0
53 https://doi.org/10.1111/j.1462-2920.2004.00669.x
54 https://doi.org/10.1111/j.1462-2920.2012.02832.x
55 https://doi.org/10.1111/j.1574-6941.2008.00636.x
56 https://doi.org/10.1111/j.1574-6968.2009.01648.x
57 https://doi.org/10.1111/j.1751-3928.2008.00061.x
58 https://doi.org/10.1126/science.248.4959.1093
59 https://doi.org/10.1128/aem.00574-06
60 https://doi.org/10.1128/aem.00886-06
61 https://doi.org/10.1128/aem.00924-09
62 https://doi.org/10.1128/aem.01541-09
63 https://doi.org/10.1128/aem.02272-07
64 https://doi.org/10.1128/aem.68.4.1994-2007.2002
65 https://doi.org/10.1128/aem.68.6.3094-3101.2002
66 https://doi.org/10.1128/aem.70.2.1231-1233.2004
67 https://doi.org/10.1146/annurev.micro.61.080706.093130
68 https://doi.org/10.1264/jsme2.me12032
69 https://doi.org/10.1371/journal.pone.0008738
70 https://doi.org/10.2307/2531532
71 https://doi.org/10.3389/fmicb.2011.00231
72 https://doi.org/10.4319/lo.2006.51.3.1315
73 https://doi.org/10.4319/lom.2004.2.171
74 https://doi.org/10.4319/lom.2008.6.236
75 https://doi.org/10.5194/sd-9-32-2010
76 schema:datePublished 2013-03
77 schema:datePublishedReg 2013-03-01
78 schema:description Sediment-hosting hydrothermal systems in the Okinawa Trough maintain a large amount of liquid, supercritical and hydrate phases of CO(2) in the seabed. The emission of CO(2) may critically impact the geochemical, geophysical and ecological characteristics of the deep-sea sedimentary environment. So far it remains unclear whether microbial communities that have been detected in such high-CO(2) and low-pH habitats are metabolically active, and if so, what the biogeochemical and ecological consequences for the environment are. In this study, RNA-based molecular approaches and radioactive tracer-based respiration rate assays were combined to study the density, diversity and metabolic activity of microbial communities in CO(2)-seep sediment at the Yonaguni Knoll IV hydrothermal field of the southern Okinawa Trough. In general, the number of microbes decreased sharply with increasing sediment depth and CO(2) concentration. Phylogenetic analyses of community structure using reverse-transcribed 16S ribosomal RNA showed that the active microbial community became less diverse with increasing sediment depth and CO(2) concentration, indicating that microbial activity and community structure are sensitive to CO(2) venting. Analyses of RNA-based pyrosequences and catalyzed reporter deposition-fluorescence in situ hybridization data revealed that members of the SEEP-SRB2 group within the Deltaproteobacteria and anaerobic methanotrophic archaea (ANME-2a and -2c) were confined to the top seafloor, and active archaea were not detected in deeper sediments (13-30 cm in depth) characterized by high CO(2). Measurement of the potential sulfate reduction rate at pH conditions of 3-9 with and without methane in the headspace indicated that acidophilic sulfate reduction possibly occurs in the presence of methane, even at very low pH of 3. These results suggest that some members of the anaerobic methanotrophs and sulfate reducers can adapt to the CO(2)-seep sedimentary environment; however, CO(2) and pH in the deep-sea sediment were found to severely impact the activity and structure of the microbial community.
79 schema:genre research_article
80 schema:inLanguage en
81 schema:isAccessibleForFree true
82 schema:isPartOf N241912f5360c4a309badadc454ddbfb4
83 Nd9daf08451d444e0b4884817cc9afaec
84 sg:journal.1038436
85 schema:name Metabolically active microbial communities in marine sediment under high-CO2 and low-pH extremes
86 schema:pagination 555
87 schema:productId N11152783464440f1ab5fc3b11c728980
88 N85a82dd5559b40ddac78dbe44752ca80
89 N86e2265d47ce406182c425087ce6b43a
90 N9a453eeb05a5419ab2d0bebd588b0639
91 Nf123326283f54e6d93de1b89b8e36494
92 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005814785
93 https://doi.org/10.1038/ismej.2012.124
94 schema:sdDatePublished 2019-04-11T01:47
95 schema:sdLicense https://scigraph.springernature.com/explorer/license/
96 schema:sdPublisher Ncd929a9238044a3fa94069d8aaaef292
97 schema:url https://www.nature.com/articles/ismej2012124
98 sgo:license sg:explorer/license/
99 sgo:sdDataset articles
100 rdf:type schema:ScholarlyArticle
101 N05b22a9f2c334222941355f64a40de93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Biodiversity
103 rdf:type schema:DefinedTerm
104 N0b759b00af0541879c2b4e64e879214f rdf:first sg:person.01303227130.40
105 rdf:rest N593709e0d5b649b2885dbf8a1a2c71ee
106 N11152783464440f1ab5fc3b11c728980 schema:name readcube_id
107 schema:value 1bb38e3a7f7d5ad9d8c7a924d87c3098e91de02eb1640152da65b4bbb3c9569b
108 rdf:type schema:PropertyValue
109 N11c9112b10004c6b8cfec5a6a4d9a017 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Bacterial Physiological Phenomena
111 rdf:type schema:DefinedTerm
112 N241912f5360c4a309badadc454ddbfb4 schema:volumeNumber 7
113 rdf:type schema:PublicationVolume
114 N3131485ed5b14306a48e464706a01edc rdf:first sg:person.0615370666.02
115 rdf:rest Nc7a9bc5d4e8843ddb9588d20febb5049
116 N43fad7ec39a44d31a9de3d0c46ee8545 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Phylogeny
118 rdf:type schema:DefinedTerm
119 N5556d147603b4f1694512751fbdd0e0f rdf:first sg:person.013256744427.80
120 rdf:rest Nda5f84f553864c0c98835f5623b105ae
121 N593709e0d5b649b2885dbf8a1a2c71ee rdf:first sg:person.01115454246.23
122 rdf:rest N6a02f324b75c49d2a4d2f69616347b57
123 N5eeabc367e3d4889be8978ab13e77b44 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Archaea
125 rdf:type schema:DefinedTerm
126 N6063a96efaef4b18816569b7eb09fcee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Geologic Sediments
128 rdf:type schema:DefinedTerm
129 N6a02f324b75c49d2a4d2f69616347b57 rdf:first sg:person.0724424155.13
130 rdf:rest N5556d147603b4f1694512751fbdd0e0f
131 N801515f98e134f3bb59e6f3302de8e85 rdf:first sg:person.01353156546.17
132 rdf:rest N3131485ed5b14306a48e464706a01edc
133 N823b93bae8e44af0a9556541ea980ff3 rdf:first sg:person.015562150143.73
134 rdf:rest Nb68a6408ec4a45d599a9b54bb3d21f84
135 N85a82dd5559b40ddac78dbe44752ca80 schema:name pubmed_id
136 schema:value 23096400
137 rdf:type schema:PropertyValue
138 N86e2265d47ce406182c425087ce6b43a schema:name doi
139 schema:value 10.1038/ismej.2012.124
140 rdf:type schema:PropertyValue
141 N8b1b833f66cc43d0abfce787cbce376e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Bacterial Load
143 rdf:type schema:DefinedTerm
144 N8fb3b2f564214680b94d3cc174bfbea6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Methane
146 rdf:type schema:DefinedTerm
147 N9a453eeb05a5419ab2d0bebd588b0639 schema:name dimensions_id
148 schema:value pub.1005814785
149 rdf:type schema:PropertyValue
150 N9d471cc706e04ed3a94bf807880d482f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Environment
152 rdf:type schema:DefinedTerm
153 Na498433bb70646dba5906de7a04430bb rdf:first sg:person.012625716463.65
154 rdf:rest Nd272242fb07b4ec7aad0c1c39c7aa4dd
155 Nb466aeeb9ec7403eab65eb11bfadaaee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Sulfates
157 rdf:type schema:DefinedTerm
158 Nb68a6408ec4a45d599a9b54bb3d21f84 rdf:first sg:person.01361612206.86
159 rdf:rest Na498433bb70646dba5906de7a04430bb
160 Nbc4af4547be8412283683cb4bcd61c77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Temperature
162 rdf:type schema:DefinedTerm
163 Nc7a9bc5d4e8843ddb9588d20febb5049 rdf:first sg:person.0644520672.84
164 rdf:rest N823b93bae8e44af0a9556541ea980ff3
165 Ncd929a9238044a3fa94069d8aaaef292 schema:name Springer Nature - SN SciGraph project
166 rdf:type schema:Organization
167 Ncfa6f2cc30404487997c854a0a408b2d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name RNA, Ribosomal, 16S
169 rdf:type schema:DefinedTerm
170 Nd272242fb07b4ec7aad0c1c39c7aa4dd rdf:first sg:person.0776015777.25
171 rdf:rest Nd436cd1215d34f4c82ba055edb7b7a3f
172 Nd436cd1215d34f4c82ba055edb7b7a3f rdf:first sg:person.0730612155.49
173 rdf:rest rdf:nil
174 Nd9daf08451d444e0b4884817cc9afaec schema:issueNumber 3
175 rdf:type schema:PublicationIssue
176 Nda5f84f553864c0c98835f5623b105ae rdf:first sg:person.0766305016.44
177 rdf:rest N801515f98e134f3bb59e6f3302de8e85
178 Ne23baedc8bfb4c3ba5c5e40f1eb07f1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Hydrogen-Ion Concentration
180 rdf:type schema:DefinedTerm
181 Nf123326283f54e6d93de1b89b8e36494 schema:name nlm_unique_id
182 schema:value 101301086
183 rdf:type schema:PropertyValue
184 Nf84ca7762f5d4b119df3422b7ba78502 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Carbon Dioxide
186 rdf:type schema:DefinedTerm
187 Nfc6752f6e603476eb4be5f6cad77b516 schema:name Marine Works Japan, Ltd., Yokosuka, Japan
188 rdf:type schema:Organization
189 Nfcc21d17f8ec422b99af856610df4ff7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Bacteria
191 rdf:type schema:DefinedTerm
192 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
193 schema:name Biological Sciences
194 rdf:type schema:DefinedTerm
195 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
196 schema:name Microbiology
197 rdf:type schema:DefinedTerm
198 sg:grant.5614801 http://pending.schema.org/fundedItem sg:pub.10.1038/ismej.2012.124
199 rdf:type schema:MonetaryGrant
200 sg:grant.5992487 http://pending.schema.org/fundedItem sg:pub.10.1038/ismej.2012.124
201 rdf:type schema:MonetaryGrant
202 sg:grant.5994754 http://pending.schema.org/fundedItem sg:pub.10.1038/ismej.2012.124
203 rdf:type schema:MonetaryGrant
204 sg:journal.1038436 schema:issn 1751-7362
205 1751-7370
206 schema:name The ISME Journal
207 rdf:type schema:Periodical
208 sg:person.01115454246.23 schema:affiliation https://www.grid.ac/institutes/grid.410588.0
209 schema:familyName Morono
210 schema:givenName Yuki
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115454246.23
212 rdf:type schema:Person
213 sg:person.012625716463.65 schema:affiliation https://www.grid.ac/institutes/grid.423940.8
214 schema:familyName Rehder
215 schema:givenName Gregor
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012625716463.65
217 rdf:type schema:Person
218 sg:person.01303227130.40 schema:affiliation https://www.grid.ac/institutes/grid.410588.0
219 schema:familyName Yanagawa
220 schema:givenName Katsunori
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303227130.40
222 rdf:type schema:Person
223 sg:person.013256744427.80 schema:affiliation https://www.grid.ac/institutes/grid.15649.3f
224 schema:familyName Haeckel
225 schema:givenName Matthias
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013256744427.80
227 rdf:type schema:Person
228 sg:person.01353156546.17 schema:affiliation https://www.grid.ac/institutes/grid.410588.0
229 schema:familyName Futagami
230 schema:givenName Taiki
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353156546.17
232 rdf:type schema:Person
233 sg:person.01361612206.86 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
234 schema:familyName Urabe
235 schema:givenName Tetsuro
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361612206.86
237 rdf:type schema:Person
238 sg:person.015562150143.73 schema:affiliation https://www.grid.ac/institutes/grid.208504.b
239 schema:familyName Nakamura
240 schema:givenName Ko-ichi
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015562150143.73
242 rdf:type schema:Person
243 sg:person.0615370666.02 schema:affiliation https://www.grid.ac/institutes/grid.410588.0
244 schema:familyName Hoshino
245 schema:givenName Tatsuhiko
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0615370666.02
247 rdf:type schema:Person
248 sg:person.0644520672.84 schema:affiliation Nfc6752f6e603476eb4be5f6cad77b516
249 schema:familyName Terada
250 schema:givenName Takeshi
251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644520672.84
252 rdf:type schema:Person
253 sg:person.0724424155.13 schema:affiliation https://www.grid.ac/institutes/grid.419529.2
254 schema:familyName de Beer
255 schema:givenName Dirk
256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724424155.13
257 rdf:type schema:Person
258 sg:person.0730612155.49 schema:affiliation https://www.grid.ac/institutes/grid.410588.0
259 schema:familyName Inagaki
260 schema:givenName Fumio
261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0730612155.49
262 rdf:type schema:Person
263 sg:person.0766305016.44 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
264 schema:familyName Sunamura
265 schema:givenName Michinari
266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766305016.44
267 rdf:type schema:Person
268 sg:person.0776015777.25 schema:affiliation https://www.grid.ac/institutes/grid.419529.2
269 schema:familyName Boetius
270 schema:givenName Antje
271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776015777.25
272 rdf:type schema:Person
273 sg:pub.10.1007/bf00002889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042936435
274 https://doi.org/10.1007/bf00002889
275 rdf:type schema:CreativeWork
276 sg:pub.10.1007/s10872-004-5768-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043108374
277 https://doi.org/10.1007/s10872-004-5768-8
278 rdf:type schema:CreativeWork
279 sg:pub.10.1038/35036572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044282621
280 https://doi.org/10.1038/35036572
281 rdf:type schema:CreativeWork
282 sg:pub.10.1038/ismej.2009.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036475965
283 https://doi.org/10.1038/ismej.2009.1
284 rdf:type schema:CreativeWork
285 sg:pub.10.1038/ismej.2011.164 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043792151
286 https://doi.org/10.1038/ismej.2011.164
287 rdf:type schema:CreativeWork
288 sg:pub.10.1038/ismej.2011.77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005136127
289 https://doi.org/10.1038/ismej.2011.77
290 rdf:type schema:CreativeWork
291 sg:pub.10.1038/nature05227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027852012
292 https://doi.org/10.1038/nature05227
293 rdf:type schema:CreativeWork
294 sg:pub.10.1038/nature07051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016847050
295 https://doi.org/10.1038/nature07051
296 rdf:type schema:CreativeWork
297 sg:pub.10.1038/nclimate1122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023056068
298 https://doi.org/10.1038/nclimate1122
299 rdf:type schema:CreativeWork
300 sg:pub.10.1038/ngeo500 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051856155
301 https://doi.org/10.1038/ngeo500
302 rdf:type schema:CreativeWork
303 sg:pub.10.1186/1471-2105-7-57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047071659
304 https://doi.org/10.1186/1471-2105-7-57
305 rdf:type schema:CreativeWork
306 https://app.dimensions.ai/details/publication/pub.1077156194 schema:CreativeWork
307 https://app.dimensions.ai/details/publication/pub.1077202412 schema:CreativeWork
308 https://app.dimensions.ai/details/publication/pub.1078463618 schema:CreativeWork
309 https://app.dimensions.ai/details/publication/pub.1082403100 schema:CreativeWork
310 https://doi.org/10.1016/0022-5193(66)90133-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011080152
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1016/s0304-4203(99)00091-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011265240
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1016/s1750-5836(07)00092-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016394686
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1021/ac960091b schema:sameAs https://app.dimensions.ai/details/publication/pub.1055072607
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1029/2005gc001152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040341882
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1029/2006gl026115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000549771
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1029/2007jb005467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031902244
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1046/j.1462-2920.2002.00294.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001851780
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1073/pnas.0605318103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044853715
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1073/pnas.0606083103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022148891
329 rdf:type schema:CreativeWork
330 https://doi.org/10.1073/pnas.0606709103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009050666
331 rdf:type schema:CreativeWork
332 https://doi.org/10.1073/pnas.072210299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024519235
333 rdf:type schema:CreativeWork
334 https://doi.org/10.1073/pnas.89.12.5685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028669064
335 rdf:type schema:CreativeWork
336 https://doi.org/10.1080/01490450303896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029609790
337 rdf:type schema:CreativeWork
338 https://doi.org/10.1080/01490451003709334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025900537
339 rdf:type schema:CreativeWork
340 https://doi.org/10.1093/bioinformatics/bth226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012309503
341 rdf:type schema:CreativeWork
342 https://doi.org/10.1093/nar/gkh293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047454621
343 rdf:type schema:CreativeWork
344 https://doi.org/10.1093/nar/gkm864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010797283
345 rdf:type schema:CreativeWork
346 https://doi.org/10.1093/nar/gkn879 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044918953
347 rdf:type schema:CreativeWork
348 https://doi.org/10.1099/ijs.0.02682-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002091631
349 rdf:type schema:CreativeWork
350 https://doi.org/10.1111/j.1462-2920.2004.00669.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045740174
351 rdf:type schema:CreativeWork
352 https://doi.org/10.1111/j.1462-2920.2012.02832.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006694491
353 rdf:type schema:CreativeWork
354 https://doi.org/10.1111/j.1574-6941.2008.00636.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030688520
355 rdf:type schema:CreativeWork
356 https://doi.org/10.1111/j.1574-6968.2009.01648.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008094196
357 rdf:type schema:CreativeWork
358 https://doi.org/10.1111/j.1751-3928.2008.00061.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028007625
359 rdf:type schema:CreativeWork
360 https://doi.org/10.1126/science.248.4959.1093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062539742
361 rdf:type schema:CreativeWork
362 https://doi.org/10.1128/aem.00574-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048394341
363 rdf:type schema:CreativeWork
364 https://doi.org/10.1128/aem.00886-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002418436
365 rdf:type schema:CreativeWork
366 https://doi.org/10.1128/aem.00924-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049152798
367 rdf:type schema:CreativeWork
368 https://doi.org/10.1128/aem.01541-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038354310
369 rdf:type schema:CreativeWork
370 https://doi.org/10.1128/aem.02272-07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034300612
371 rdf:type schema:CreativeWork
372 https://doi.org/10.1128/aem.68.4.1994-2007.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045384945
373 rdf:type schema:CreativeWork
374 https://doi.org/10.1128/aem.68.6.3094-3101.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049886984
375 rdf:type schema:CreativeWork
376 https://doi.org/10.1128/aem.70.2.1231-1233.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009015713
377 rdf:type schema:CreativeWork
378 https://doi.org/10.1146/annurev.micro.61.080706.093130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018437724
379 rdf:type schema:CreativeWork
380 https://doi.org/10.1264/jsme2.me12032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001788241
381 rdf:type schema:CreativeWork
382 https://doi.org/10.1371/journal.pone.0008738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005647612
383 rdf:type schema:CreativeWork
384 https://doi.org/10.2307/2531532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069976974
385 rdf:type schema:CreativeWork
386 https://doi.org/10.3389/fmicb.2011.00231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024949880
387 rdf:type schema:CreativeWork
388 https://doi.org/10.4319/lo.2006.51.3.1315 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016182172
389 rdf:type schema:CreativeWork
390 https://doi.org/10.4319/lom.2004.2.171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010094926
391 rdf:type schema:CreativeWork
392 https://doi.org/10.4319/lom.2008.6.236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011509201
393 rdf:type schema:CreativeWork
394 https://doi.org/10.5194/sd-9-32-2010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003476284
395 rdf:type schema:CreativeWork
396 https://www.grid.ac/institutes/grid.15649.3f schema:alternateName GEOMAR Helmholtz Centre for Ocean Research Kiel
397 schema:name Leibniz Institute for Marine Sciences (IFM-GEOMAR), Kiel, Germany
398 rdf:type schema:Organization
399 https://www.grid.ac/institutes/grid.208504.b schema:alternateName National Institute of Advanced Industrial Science and Technology
400 schema:name Institute of Geology and Geoinformation, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
401 rdf:type schema:Organization
402 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
403 schema:name Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo, Japan
404 rdf:type schema:Organization
405 https://www.grid.ac/institutes/grid.410588.0 schema:alternateName Japan Agency for Marine-Earth Science and Technology
406 schema:name Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo, Tokyo, Japan
407 Geobio-Engineering and Technology Group, Submarine Resources Research Project, JAMSTEC, Nankoku, Kochi, Japan
408 Geomicrobiology Group, Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Nankoku, Kochi, Japan
409 rdf:type schema:Organization
410 https://www.grid.ac/institutes/grid.419529.2 schema:alternateName Max Planck Institute for Marine Microbiology
411 schema:name HGF MPG Group for Deep Sea Ecology and Technology, Alfred Wegener Institute for Polar and Marine Research in the Helmholtz Association, Bremerhaven, Germany
412 Max Planck Institute for Marine Microbiology, Bremen, Germany
413 rdf:type schema:Organization
414 https://www.grid.ac/institutes/grid.423940.8 schema:alternateName Leibniz Institute for Baltic Sea Research
415 schema:name Department of Marine Chemistry, Leibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany
416 rdf:type schema:Organization
 




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


...