Ontology type: schema:ScholarlyArticle
2019-04
AUTHORSSong-Can Chen, Niculina Musat, Oliver J. Lechtenfeld, Heidrun Paschke, Matthias Schmidt, Nedal Said, Denny Popp, Federica Calabrese, Hryhoriy Stryhanyuk, Ulrike Jaekel, Yong-Guan Zhu, Samantha B. Joye, Hans-Hermann Richnow, Friedrich Widdel, Florin Musat
ABSTRACTEthane is the second most abundant component of natural gas in addition to methane, and-similar to methane-is chemically unreactive. The biological consumption of ethane under anoxic conditions was suggested by geochemical profiles at marine hydrocarbon seeps1-3, and through ethane-dependent sulfate reduction in slurries4-7. Nevertheless, the microorganisms and reactions that catalyse this process have to date remained unknown8. Here we describe ethane-oxidizing archaea that were obtained by specific enrichment over ten years, and analyse these archaea using phylogeny-based fluorescence analyses, proteogenomics and metabolite studies. The co-culture, which oxidized ethane completely while reducing sulfate to sulfide, was dominated by an archaeon that we name 'Candidatus Argoarchaeum ethanivorans'; other members were sulfate-reducing Deltaproteobacteria. The genome of Ca. Argoarchaeum contains all of the genes that are necessary for a functional methyl-coenzyme M reductase, and all subunits were detected in protein extracts. Accordingly, ethyl-coenzyme M (ethyl-CoM) was identified as an intermediate by liquid chromatography-tandem mass spectrometry. This indicated that Ca. Argoarchaeum initiates ethane oxidation by ethyl-CoM formation, analogous to the recently described butane activation by 'Candidatus Syntrophoarchaeum'9. Proteogenomics further suggests that oxidation of intermediary acetyl-CoA to CO2 occurs through the oxidative Wood-Ljungdahl pathway. The identification of an archaeon that uses ethane (C2H6) fills a gap in our knowledge of microorganisms that specifically oxidize members of the homologous alkane series (CnH2n+2) without oxygen. Detection of phylogenetic and functional gene markers related to those of Ca. Argoarchaeum at deep-sea gas seeps10-12 suggests that archaea that are able to oxidize ethane through ethyl-CoM are widespread members of the local communities fostered by venting gaseous alkanes around these seeps. More... »
PAGES1-4
http://scigraph.springernature.com/pub.10.1038/s41586-019-1063-0
DOIhttp://dx.doi.org/10.1038/s41586-019-1063-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1113005243
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30918404
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Research Center for Eco-Environmental Sciences",
"id": "https://www.grid.ac/institutes/grid.419052.b",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany",
"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China"
],
"type": "Organization"
},
"familyName": "Chen",
"givenName": "Song-Can",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Musat",
"givenName": "Niculina",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Analytical Chemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Lechtenfeld",
"givenName": "Oliver J.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Analytical Chemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Paschke",
"givenName": "Heidrun",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Schmidt",
"givenName": "Matthias",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Said",
"givenName": "Nedal",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Environmental Microbiology, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Popp",
"givenName": "Denny",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Calabrese",
"givenName": "Federica",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Stryhanyuk",
"givenName": "Hryhoriy",
"type": "Person"
},
{
"affiliation": {
"alternateName": "The Research Council of Norway",
"id": "https://www.grid.ac/institutes/grid.13985.36",
"name": [
"Max Planck Institute for Marine Microbiology, Bremen, Germany",
"Department for Research Infrastructures, The Research Council of Norway, Oslo, Norway"
],
"type": "Organization"
},
"familyName": "Jaekel",
"givenName": "Ulrike",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Urban Environment",
"id": "https://www.grid.ac/institutes/grid.458454.c",
"name": [
"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China",
"Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China"
],
"type": "Organization"
},
"familyName": "Zhu",
"givenName": "Yong-Guan",
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Georgia",
"id": "https://www.grid.ac/institutes/grid.213876.9",
"name": [
"Department of Marine Sciences, University of Georgia, Athens, GA, USA"
],
"type": "Organization"
},
"familyName": "Joye",
"givenName": "Samantha B.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Helmholtz Centre for Environmental Research",
"id": "https://www.grid.ac/institutes/grid.7492.8",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany"
],
"type": "Organization"
},
"familyName": "Richnow",
"givenName": "Hans-Hermann",
"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": "Widdel",
"givenName": "Friedrich",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Max Planck Institute for Marine Microbiology",
"id": "https://www.grid.ac/institutes/grid.419529.2",
"name": [
"Department of Isotope Biogeochemistry, Helmholtz Centre for Environmental Research \u2013 UFZ, Leipzig, Germany",
"Max Planck Institute for Marine Microbiology, Bremen, Germany"
],
"type": "Organization"
},
"familyName": "Musat",
"givenName": "Florin",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.chemgeo.2009.06.023",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000276522"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btu033",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000848409"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/aem.00886-06",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002418436"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00367-010-0197-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002803205",
"https://doi.org/10.1007/s00367-010-0197-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00248-011-9855-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004647079",
"https://doi.org/10.1007/s00248-011-9855-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0146-6380(86)90025-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005128252"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0146-6380(86)90025-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005128252"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1462-2920.2009.02058.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006112912"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1462-2920.2009.02058.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006112912"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.epsl.2004.03.028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006512796"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.chemgeo.2003.12.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007387322"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/bts252",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007390764"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1574-6941.2010.00866.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007468699"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1574-6941.2010.00866.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007468699"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/jms.2975",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007962281"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.syapm.2014.02.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007964031"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1128/mbio.01348-15",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008704712"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/prot.21715",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008907205"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1144/gsl.sp.1998.131.01.16",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009267358"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkt1226",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009906349"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkm864",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010797283"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/bts079",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011943815"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.dsr2.2010.05.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012179055"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature09015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012745947",
"https://doi.org/10.1038/nature09015"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature09015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012745947",
"https://doi.org/10.1038/nature09015"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1462-2920.2002.00299.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013431305"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.orggeochem.2010.02.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014004480"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.marpetgeo.2005.11.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014260268"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ismej.2014.217",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014872851",
"https://doi.org/10.1038/ismej.2014.217"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/28.1.173",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014976010"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.186072.114",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015107573"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2013.00386",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015194591"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1462-2920.2011.02681.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015271611"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrmicro2406",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015742847",
"https://doi.org/10.1038/nrmicro2406"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrmicro2406",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015742847",
"https://doi.org/10.1038/nrmicro2406"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1758-2229.12365",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016959973"
],
"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/10.1146/annurev.micro.61.080706.093130",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018437724"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pone.0112963",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019307347"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btp348",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020601630"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkv1344",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022063719"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s003670050060",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023478273",
"https://doi.org/10.1007/s003670050060"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkh340",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025846396"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1574-6941.2008.00463.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027974251"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1574-6941.2012.01466.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029874919"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.gca.2010.09.043",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030619121"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkm160",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030736062"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature15733",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031297582",
"https://doi.org/10.1038/nature15733"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature06200",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031362943",
"https://doi.org/10.1038/nature06200"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature15512",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032454147",
"https://doi.org/10.1038/nature15512"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkw1092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034040244"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkv1145",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035197832"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/1462-2920.12251",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036137119"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature20152",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036617231",
"https://doi.org/10.1038/nature20152"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0167-7012(85)90005-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039015065"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0167-7012(85)90005-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039015065"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.mib.2011.03.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039478547"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkw413",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040099621"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.gca.2008.12.030",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042569623"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ismej.2012.159",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042619790",
"https://doi.org/10.1038/ismej.2012.159"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btu170",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042720804"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ja4064876",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043182544"
],
"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/10.1016/0883-2927(90)90034-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046490655"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0883-2927(90)90034-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046490655"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.copbio.2012.08.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047075645"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2016.00017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047079230"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gkh293",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047454621"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11356-014-3606-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047844781",
"https://doi.org/10.1007/s11356-014-3606-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature11656",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048084590",
"https://doi.org/10.1038/nature11656"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2013.00110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049068882"
],
"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": "https://doi.org/10.1111/j.1574-6941.2011.01153.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052068932"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acs.est.5b01401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055087672"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btv638",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059414543"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btv697",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059414576"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1099/00221287-144-9-2377",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1060369970"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.278.5342.1457",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062558751"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.aac7745",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062666325"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1077379099",
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncomms14515",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083850242",
"https://doi.org/10.1038/ncomms14515"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.213959.116",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084197429"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msx148",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085225815"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40168-017-0322-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091310054",
"https://doi.org/10.1186/s40168-017-0322-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40168-017-0322-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091310054",
"https://doi.org/10.1186/s40168-017-0322-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2017.02056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092326116"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmars.2017.00417",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1099697317"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1716667115",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100563482"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.1716667115",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100563482"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/nar/gky427",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1103861827"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nprot.2018.030",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104040403",
"https://doi.org/10.1038/nprot.2018.030"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nprot.2018.030",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1104040403",
"https://doi.org/10.1038/nprot.2018.030"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.orggeochem.2018.09.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1106544612"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3389/fmicb.2018.02342",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1107386868"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-04",
"datePublishedReg": "2019-04-01",
"description": "Ethane is the second most abundant component of natural gas in addition to methane, and-similar to methane-is chemically unreactive. The biological consumption of ethane under anoxic conditions was suggested by geochemical profiles at marine hydrocarbon seeps1-3, and through ethane-dependent sulfate reduction in slurries4-7. Nevertheless, the microorganisms and reactions that catalyse this process have to date remained unknown8. Here we describe ethane-oxidizing archaea that were obtained by specific enrichment over ten years, and analyse these archaea using phylogeny-based fluorescence analyses, proteogenomics and metabolite studies. The co-culture, which oxidized ethane completely while reducing sulfate to sulfide, was dominated by an archaeon that we name 'Candidatus Argoarchaeum ethanivorans'; other members were sulfate-reducing Deltaproteobacteria. The genome of Ca. Argoarchaeum contains all of the genes that are necessary for a functional methyl-coenzyme M reductase, and all subunits were detected in protein extracts. Accordingly, ethyl-coenzyme M (ethyl-CoM) was identified as an intermediate by liquid chromatography-tandem mass spectrometry. This indicated that Ca. Argoarchaeum initiates ethane oxidation by ethyl-CoM formation, analogous to the recently described butane activation by 'Candidatus Syntrophoarchaeum'9. Proteogenomics further suggests that oxidation of intermediary acetyl-CoA to CO2 occurs through the oxidative Wood-Ljungdahl pathway. The identification of an archaeon that uses ethane (C2H6) fills a gap in our knowledge of microorganisms that specifically oxidize members of the homologous alkane series (CnH2n+2) without oxygen. Detection of phylogenetic and functional gene markers related to those of Ca. Argoarchaeum at deep-sea gas seeps10-12 suggests that archaea that are able to oxidize ethane through ethyl-CoM are widespread members of the local communities fostered by venting gaseous alkanes around these seeps.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41586-019-1063-0",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0090-0028",
"1476-4687"
],
"name": "Nature",
"type": "Periodical"
},
{
"issueNumber": "7750",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "568"
}
],
"name": "Anaerobic oxidation of ethane by archaea from a marine hydrocarbon seep",
"pagination": "1-4",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"382f25da8014e1b46ba657522dfe8bfe1abf245b2dd60283410a4938fc245e48"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30918404"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"0410462"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41586-019-1063-0"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1113005243"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41586-019-1063-0",
"https://app.dimensions.ai/details/publication/pub.1113005243"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T13:54",
"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/v90/0000000371_0000000371/records_130808_00000006.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41586-019-1063-0"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s41586-019-1063-0'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41586-019-1063-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41586-019-1063-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41586-019-1063-0'
This table displays all metadata directly associated to this object as RDF triples.
441 TRIPLES
21 PREDICATES
113 URIs
21 LITERALS
9 BLANK NODES