Structure and regulation of the cellulose degradome in Clostridium cellulolyticum View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Chenggang Xu, Ranran Huang, Lin Teng, Dongmei Wang, Christopher L Hemme, Ilya Borovok, Qiang He, Raphael Lamed, Edward A Bayer, Jizhong Zhou, Jian Xu

ABSTRACT

BACKGROUND: Many bacteria efficiently degrade lignocellulose yet the underpinning genome-wide metabolic and regulatory networks remain elusive. Here we revealed the "cellulose degradome" for the model mesophilic cellulolytic bacterium Clostridium cellulolyticum ATCC 35319, via an integrated analysis of its complete genome, its transcriptomes under glucose, xylose, cellobiose, cellulose, xylan or corn stover and its extracellular proteomes under glucose, cellobiose or cellulose. RESULTS: Proteins for core metabolic functions, environment sensing, gene regulation and polysaccharide metabolism were enriched in the cellulose degradome. Analysis of differentially expressed genes revealed a "core" set of 48 CAZymes required for degrading cellulose-containing substrates as well as an "accessory" set of 76 CAZymes required for specific non-cellulose substrates. Gene co-expression analysis suggested that Carbon Catabolite Repression (CCR) related regulators sense intracellular glycolytic intermediates and control the core CAZymes that mainly include cellulosomal components, whereas 11 sets of Two-Component Systems (TCSs) respond to availability of extracellular soluble sugars and respectively regulate most of the accessory CAZymes and associated transporters. Surprisingly, under glucose alone, the core cellulases were highly expressed at both transcript and protein levels. Furthermore, glucose enhanced cellulolysis in a dose-dependent manner, via inducing cellulase transcription at low concentrations. CONCLUSION: A molecular model of cellulose degradome in C. cellulolyticum (Ccel) was proposed, which revealed the substrate-specificity of CAZymes and the transcriptional regulation of core cellulases by CCR where the glucose acts as a CCR inhibitor instead of a trigger. These features represent a distinct environment-sensing strategy for competing while collaborating for cellulose utilization, which can be exploited for process and genetic engineering of microbial cellulolysis. More... »

PAGES

73

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1754-6834-6-73

DOI

http://dx.doi.org/10.1186/1754-6834-6-73

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015662005

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23657055


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "BioEnergy Genome Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 266101, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Chenggang", 
        "id": "sg:person.01051760174.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051760174.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "BioEnergy Genome Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 266101, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Ranran", 
        "id": "sg:person.01323117472.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323117472.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "BioEnergy Genome Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 266101, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Teng", 
        "givenName": "Lin", 
        "id": "sg:person.01371232672.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371232672.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "BioEnergy Genome Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 266101, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Dongmei", 
        "id": "sg:person.01011106346.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011106346.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oklahoma", 
          "id": "https://www.grid.ac/institutes/grid.266900.b", 
          "name": [
            "Institute for Environmental Genomics, Department of Botany and Microbiology, University of Oklahoma, 73072, Norman, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hemme", 
        "givenName": "Christopher L", 
        "id": "sg:person.01077624317.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077624317.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tel Aviv University", 
          "id": "https://www.grid.ac/institutes/grid.12136.37", 
          "name": [
            "Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Ramat Aviv, 69978, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Borovok", 
        "givenName": "Ilya", 
        "id": "sg:person.01231442661.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231442661.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tennessee at Knoxville", 
          "id": "https://www.grid.ac/institutes/grid.411461.7", 
          "name": [
            "Department of Civil and Environmental Engineering, University of Tennessee, 37996, Knoxville, TN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "He", 
        "givenName": "Qiang", 
        "id": "sg:person.01263541603.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263541603.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tel Aviv University", 
          "id": "https://www.grid.ac/institutes/grid.12136.37", 
          "name": [
            "Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Ramat Aviv, 69978, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lamed", 
        "givenName": "Raphael", 
        "id": "sg:person.0577603247.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577603247.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Weizmann Institute of Science", 
          "id": "https://www.grid.ac/institutes/grid.13992.30", 
          "name": [
            "Department of Biological Chemistry, Weizmann Institute of Science, 76100, Rehovot, Israel"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bayer", 
        "givenName": "Edward A", 
        "id": "sg:person.01371017307.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371017307.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Oklahoma", 
          "id": "https://www.grid.ac/institutes/grid.266900.b", 
          "name": [
            "Institute for Environmental Genomics, Department of Botany and Microbiology, University of Oklahoma, 73072, Norman, OK, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhou", 
        "givenName": "Jizhong", 
        "id": "sg:person.01171352100.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171352100.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qingdao Institute of Bioenergy and Bioprocess Technology", 
          "id": "https://www.grid.ac/institutes/grid.458500.c", 
          "name": [
            "BioEnergy Genome Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 266101, Qingdao, Shandong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xu", 
        "givenName": "Jian", 
        "id": "sg:person.01320335040.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320335040.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1099/mic.0.037085-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000326512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2004.08.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000707919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro1932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001013360", 
          "https://doi.org/10.1038/nrmicro1932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1121416", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003868343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1999.3420", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004557405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.2002.tb11123.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004601758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.2002.tb11123.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004601758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mmbr.69.1.124-154.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004701769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1271/bbb.80479", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005389070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/tcr.20160", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006352807"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.185.17.5109-5116.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006841702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkp335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007915246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkp335", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007915246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1118440109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008904998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1114736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009106987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.188.7.2614-2624.2006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009651247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200900375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011395411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200900375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011395411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1998.tb12950.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011734333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1998.tb12950.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011734333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.01160-07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015294145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1754-6834-5-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015528474", 
          "https://doi.org/10.1186/1754-6834-5-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.2005.04473.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015981030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.183.20.5877-5884.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016427756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.01064-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017208086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.01450-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018394070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.185.20.6067-6075.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018895918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.187.1.99-106.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021657866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.micro.57.030502.091022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024787833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.183.16.4823-4838.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025210625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025440024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.185.10.3042-3048.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026406658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-9-145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029051534", 
          "https://doi.org/10.1186/1471-2164-9-145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.187.7.2261-2266.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029239636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00724-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030276330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2009.07025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031963458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2009.07025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031963458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2010.07.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033429521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0605381103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034192948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.femsre.2004.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035368773"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.5.1206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038715091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.185.20.5907-5914.2003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040415960"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0056063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040536305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp612", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043232906"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1012175107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044623991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/383593", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044810549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0700087104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044821877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044916759", 
          "https://doi.org/10.1038/nrmicro925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro925", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044916759", 
          "https://doi.org/10.1038/nrmicro925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0208-169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045419892", 
          "https://doi.org/10.1038/nbt0208-169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mmbr.66.3.506-577.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046000620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00248-011-9998-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049081316", 
          "https://doi.org/10.1007/s00248-011-9998-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1137016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049275105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00510268", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049372814", 
          "https://doi.org/10.1007/bf00510268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00510268", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049372814", 
          "https://doi.org/10.1007/bf00510268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2010.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049510393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200900311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049880002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pmic.200900311", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049880002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2008.00633.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050854140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1097(02)00559-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054654860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1097(99)00201-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054655540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-34-2-155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060347783"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-44-4-812", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060349038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1126131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062453673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1139523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062455297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074482237", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077202270", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081991006", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082420306", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "BACKGROUND: Many bacteria efficiently degrade lignocellulose yet the underpinning genome-wide metabolic and regulatory networks remain elusive. Here we revealed the \"cellulose degradome\" for the model mesophilic cellulolytic bacterium Clostridium cellulolyticum ATCC 35319, via an integrated analysis of its complete genome, its transcriptomes under glucose, xylose, cellobiose, cellulose, xylan or corn stover and its extracellular proteomes under glucose, cellobiose or cellulose.\nRESULTS: Proteins for core metabolic functions, environment sensing, gene regulation and polysaccharide metabolism were enriched in the cellulose degradome. Analysis of differentially expressed genes revealed a \"core\" set of 48 CAZymes required for degrading cellulose-containing substrates as well as an \"accessory\" set of 76 CAZymes required for specific non-cellulose substrates. Gene co-expression analysis suggested that Carbon Catabolite Repression (CCR) related regulators sense intracellular glycolytic intermediates and control the core CAZymes that mainly include cellulosomal components, whereas 11 sets of Two-Component Systems (TCSs) respond to availability of extracellular soluble sugars and respectively regulate most of the accessory CAZymes and associated transporters. Surprisingly, under glucose alone, the core cellulases were highly expressed at both transcript and protein levels. Furthermore, glucose enhanced cellulolysis in a dose-dependent manner, via inducing cellulase transcription at low concentrations.\nCONCLUSION: A molecular model of cellulose degradome in C. cellulolyticum (Ccel) was proposed, which revealed the substrate-specificity of CAZymes and the transcriptional regulation of core cellulases by CCR where the glucose acts as a CCR inhibitor instead of a trigger. These features represent a distinct environment-sensing strategy for competing while collaborating for cellulose utilization, which can be exploited for process and genetic engineering of microbial cellulolysis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1754-6834-6-73", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7003729", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2996620", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7200559", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1039046", 
        "issn": [
          "1754-6834"
        ], 
        "name": "Biotechnology for Biofuels", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Structure and regulation of the cellulose degradome in Clostridium cellulolyticum", 
    "pagination": "73", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4a9f2fef791a458bd02bf158c9dd4ee2250aafdcce584e0786804e7c0cfa39f3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23657055"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101316935"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1754-6834-6-73"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015662005"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1754-6834-6-73", 
      "https://app.dimensions.ai/details/publication/pub.1015662005"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:42", 
    "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_8669_00000511.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1754-6834-6-73"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-73'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-73'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-73'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1754-6834-6-73'


 

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

342 TRIPLES      21 PREDICATES      90 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1754-6834-6-73 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N20cb813b07af4258a069c61b193a45d3
4 schema:citation sg:pub.10.1007/bf00510268
5 sg:pub.10.1007/s00248-011-9998-1
6 sg:pub.10.1038/nbt0208-169
7 sg:pub.10.1038/nrmicro1932
8 sg:pub.10.1038/nrmicro925
9 sg:pub.10.1186/1471-2164-9-145
10 sg:pub.10.1186/1754-6834-5-2
11 https://app.dimensions.ai/details/publication/pub.1074482237
12 https://app.dimensions.ai/details/publication/pub.1077202270
13 https://app.dimensions.ai/details/publication/pub.1081991006
14 https://app.dimensions.ai/details/publication/pub.1082420306
15 https://doi.org/10.1002/pmic.200900311
16 https://doi.org/10.1002/pmic.200900375
17 https://doi.org/10.1002/tcr.20160
18 https://doi.org/10.1006/jmbi.1999.3420
19 https://doi.org/10.1016/j.biortech.2010.07.065
20 https://doi.org/10.1016/j.biotechadv.2010.01.003
21 https://doi.org/10.1016/j.cell.2004.08.027
22 https://doi.org/10.1016/j.femsre.2004.11.003
23 https://doi.org/10.1016/s0378-1097(02)00559-1
24 https://doi.org/10.1016/s0378-1097(99)00201-3
25 https://doi.org/10.1073/pnas.0605381103
26 https://doi.org/10.1073/pnas.0700087104
27 https://doi.org/10.1073/pnas.1012175107
28 https://doi.org/10.1073/pnas.1118440109
29 https://doi.org/10.1086/383593
30 https://doi.org/10.1093/bioinformatics/btp612
31 https://doi.org/10.1093/nar/28.5.1206
32 https://doi.org/10.1093/nar/gkn663
33 https://doi.org/10.1093/nar/gkp335
34 https://doi.org/10.1099/00207713-34-2-155
35 https://doi.org/10.1099/00207713-44-4-812
36 https://doi.org/10.1099/mic.0.037085-0
37 https://doi.org/10.1111/j.1365-2958.2005.04473.x
38 https://doi.org/10.1111/j.1574-6941.2008.00633.x
39 https://doi.org/10.1111/j.1574-6968.1998.tb12950.x
40 https://doi.org/10.1111/j.1574-6968.2002.tb11123.x
41 https://doi.org/10.1111/j.1742-4658.2009.07025.x
42 https://doi.org/10.1126/science.1114736
43 https://doi.org/10.1126/science.1121416
44 https://doi.org/10.1126/science.1126131
45 https://doi.org/10.1126/science.1137016
46 https://doi.org/10.1126/science.1139523
47 https://doi.org/10.1128/aem.00724-10
48 https://doi.org/10.1128/jb.01064-10
49 https://doi.org/10.1128/jb.01160-07
50 https://doi.org/10.1128/jb.01450-09
51 https://doi.org/10.1128/jb.183.16.4823-4838.2001
52 https://doi.org/10.1128/jb.183.20.5877-5884.2001
53 https://doi.org/10.1128/jb.185.10.3042-3048.2003
54 https://doi.org/10.1128/jb.185.17.5109-5116.2003
55 https://doi.org/10.1128/jb.185.20.5907-5914.2003
56 https://doi.org/10.1128/jb.185.20.6067-6075.2003
57 https://doi.org/10.1128/jb.187.1.99-106.2005
58 https://doi.org/10.1128/jb.187.7.2261-2266.2005
59 https://doi.org/10.1128/jb.188.7.2614-2624.2006
60 https://doi.org/10.1128/mmbr.66.3.506-577.2002
61 https://doi.org/10.1128/mmbr.69.1.124-154.2005
62 https://doi.org/10.1146/annurev.micro.57.030502.091022
63 https://doi.org/10.1271/bbb.80479
64 https://doi.org/10.1371/journal.pone.0056063
65 schema:datePublished 2013-12
66 schema:datePublishedReg 2013-12-01
67 schema:description BACKGROUND: Many bacteria efficiently degrade lignocellulose yet the underpinning genome-wide metabolic and regulatory networks remain elusive. Here we revealed the "cellulose degradome" for the model mesophilic cellulolytic bacterium Clostridium cellulolyticum ATCC 35319, via an integrated analysis of its complete genome, its transcriptomes under glucose, xylose, cellobiose, cellulose, xylan or corn stover and its extracellular proteomes under glucose, cellobiose or cellulose. RESULTS: Proteins for core metabolic functions, environment sensing, gene regulation and polysaccharide metabolism were enriched in the cellulose degradome. Analysis of differentially expressed genes revealed a "core" set of 48 CAZymes required for degrading cellulose-containing substrates as well as an "accessory" set of 76 CAZymes required for specific non-cellulose substrates. Gene co-expression analysis suggested that Carbon Catabolite Repression (CCR) related regulators sense intracellular glycolytic intermediates and control the core CAZymes that mainly include cellulosomal components, whereas 11 sets of Two-Component Systems (TCSs) respond to availability of extracellular soluble sugars and respectively regulate most of the accessory CAZymes and associated transporters. Surprisingly, under glucose alone, the core cellulases were highly expressed at both transcript and protein levels. Furthermore, glucose enhanced cellulolysis in a dose-dependent manner, via inducing cellulase transcription at low concentrations. CONCLUSION: A molecular model of cellulose degradome in C. cellulolyticum (Ccel) was proposed, which revealed the substrate-specificity of CAZymes and the transcriptional regulation of core cellulases by CCR where the glucose acts as a CCR inhibitor instead of a trigger. These features represent a distinct environment-sensing strategy for competing while collaborating for cellulose utilization, which can be exploited for process and genetic engineering of microbial cellulolysis.
68 schema:genre research_article
69 schema:inLanguage en
70 schema:isAccessibleForFree true
71 schema:isPartOf N530e2243b0584488ba819d4e41a87138
72 N5d2be7f74f1948abac31f0f015cfb34f
73 sg:journal.1039046
74 schema:name Structure and regulation of the cellulose degradome in Clostridium cellulolyticum
75 schema:pagination 73
76 schema:productId N0b32a514ac3b4b94872c8c5d71037325
77 N657e6c58c791485aaa261e77264c9237
78 N8bbd309e550445eead01bc73a6855e53
79 Nb4ad3ff47aa64beab7edc0e4bf888fd9
80 Nf7456068a3344f67843f0882cafc20cb
81 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015662005
82 https://doi.org/10.1186/1754-6834-6-73
83 schema:sdDatePublished 2019-04-10T16:42
84 schema:sdLicense https://scigraph.springernature.com/explorer/license/
85 schema:sdPublisher Ndefb9e42d3f74376ab547dd7db5d9e81
86 schema:url http://link.springer.com/10.1186%2F1754-6834-6-73
87 sgo:license sg:explorer/license/
88 sgo:sdDataset articles
89 rdf:type schema:ScholarlyArticle
90 N0b32a514ac3b4b94872c8c5d71037325 schema:name nlm_unique_id
91 schema:value 101316935
92 rdf:type schema:PropertyValue
93 N20cb813b07af4258a069c61b193a45d3 rdf:first sg:person.01051760174.38
94 rdf:rest N41b84befbdfc4ed196a0fee05ac187fb
95 N41b84befbdfc4ed196a0fee05ac187fb rdf:first sg:person.01323117472.31
96 rdf:rest N95cf54220ff04a79adb63b554a3e2368
97 N530e2243b0584488ba819d4e41a87138 schema:volumeNumber 6
98 rdf:type schema:PublicationVolume
99 N5d2be7f74f1948abac31f0f015cfb34f schema:issueNumber 1
100 rdf:type schema:PublicationIssue
101 N5d3b2686ca1b430d8616ed289e506cce rdf:first sg:person.01011106346.37
102 rdf:rest N800a02a087ee4829a62367772a9e84aa
103 N657e6c58c791485aaa261e77264c9237 schema:name doi
104 schema:value 10.1186/1754-6834-6-73
105 rdf:type schema:PropertyValue
106 N6d8fbf01a1764ea489cf4ebc8e618d6f rdf:first sg:person.01231442661.36
107 rdf:rest N733466057b7247ed8ba153248764c02d
108 N733466057b7247ed8ba153248764c02d rdf:first sg:person.01263541603.07
109 rdf:rest Nc3c0a66098264779b74e557dcaddc173
110 N800a02a087ee4829a62367772a9e84aa rdf:first sg:person.01077624317.51
111 rdf:rest N6d8fbf01a1764ea489cf4ebc8e618d6f
112 N8bbd309e550445eead01bc73a6855e53 schema:name dimensions_id
113 schema:value pub.1015662005
114 rdf:type schema:PropertyValue
115 N95cf54220ff04a79adb63b554a3e2368 rdf:first sg:person.01371232672.50
116 rdf:rest N5d3b2686ca1b430d8616ed289e506cce
117 Nb2bb567ca84a47ebb243284f9b2f4464 rdf:first sg:person.01171352100.63
118 rdf:rest Nce5d192870d1438a8f8d7ed03ebd2ddc
119 Nb4ad3ff47aa64beab7edc0e4bf888fd9 schema:name pubmed_id
120 schema:value 23657055
121 rdf:type schema:PropertyValue
122 Nc3c0a66098264779b74e557dcaddc173 rdf:first sg:person.0577603247.49
123 rdf:rest Nce57c1fdc5f54ec391b9fca50bfea489
124 Nce57c1fdc5f54ec391b9fca50bfea489 rdf:first sg:person.01371017307.09
125 rdf:rest Nb2bb567ca84a47ebb243284f9b2f4464
126 Nce5d192870d1438a8f8d7ed03ebd2ddc rdf:first sg:person.01320335040.67
127 rdf:rest rdf:nil
128 Ndefb9e42d3f74376ab547dd7db5d9e81 schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 Nf7456068a3344f67843f0882cafc20cb schema:name readcube_id
131 schema:value 4a9f2fef791a458bd02bf158c9dd4ee2250aafdcce584e0786804e7c0cfa39f3
132 rdf:type schema:PropertyValue
133 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
134 schema:name Biological Sciences
135 rdf:type schema:DefinedTerm
136 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
137 schema:name Genetics
138 rdf:type schema:DefinedTerm
139 sg:grant.2996620 http://pending.schema.org/fundedItem sg:pub.10.1186/1754-6834-6-73
140 rdf:type schema:MonetaryGrant
141 sg:grant.7003729 http://pending.schema.org/fundedItem sg:pub.10.1186/1754-6834-6-73
142 rdf:type schema:MonetaryGrant
143 sg:grant.7200559 http://pending.schema.org/fundedItem sg:pub.10.1186/1754-6834-6-73
144 rdf:type schema:MonetaryGrant
145 sg:journal.1039046 schema:issn 1754-6834
146 schema:name Biotechnology for Biofuels
147 rdf:type schema:Periodical
148 sg:person.01011106346.37 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
149 schema:familyName Wang
150 schema:givenName Dongmei
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01011106346.37
152 rdf:type schema:Person
153 sg:person.01051760174.38 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
154 schema:familyName Xu
155 schema:givenName Chenggang
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051760174.38
157 rdf:type schema:Person
158 sg:person.01077624317.51 schema:affiliation https://www.grid.ac/institutes/grid.266900.b
159 schema:familyName Hemme
160 schema:givenName Christopher L
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077624317.51
162 rdf:type schema:Person
163 sg:person.01171352100.63 schema:affiliation https://www.grid.ac/institutes/grid.266900.b
164 schema:familyName Zhou
165 schema:givenName Jizhong
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171352100.63
167 rdf:type schema:Person
168 sg:person.01231442661.36 schema:affiliation https://www.grid.ac/institutes/grid.12136.37
169 schema:familyName Borovok
170 schema:givenName Ilya
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01231442661.36
172 rdf:type schema:Person
173 sg:person.01263541603.07 schema:affiliation https://www.grid.ac/institutes/grid.411461.7
174 schema:familyName He
175 schema:givenName Qiang
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263541603.07
177 rdf:type schema:Person
178 sg:person.01320335040.67 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
179 schema:familyName Xu
180 schema:givenName Jian
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320335040.67
182 rdf:type schema:Person
183 sg:person.01323117472.31 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
184 schema:familyName Huang
185 schema:givenName Ranran
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323117472.31
187 rdf:type schema:Person
188 sg:person.01371017307.09 schema:affiliation https://www.grid.ac/institutes/grid.13992.30
189 schema:familyName Bayer
190 schema:givenName Edward A
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371017307.09
192 rdf:type schema:Person
193 sg:person.01371232672.50 schema:affiliation https://www.grid.ac/institutes/grid.458500.c
194 schema:familyName Teng
195 schema:givenName Lin
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371232672.50
197 rdf:type schema:Person
198 sg:person.0577603247.49 schema:affiliation https://www.grid.ac/institutes/grid.12136.37
199 schema:familyName Lamed
200 schema:givenName Raphael
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577603247.49
202 rdf:type schema:Person
203 sg:pub.10.1007/bf00510268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049372814
204 https://doi.org/10.1007/bf00510268
205 rdf:type schema:CreativeWork
206 sg:pub.10.1007/s00248-011-9998-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049081316
207 https://doi.org/10.1007/s00248-011-9998-1
208 rdf:type schema:CreativeWork
209 sg:pub.10.1038/nbt0208-169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045419892
210 https://doi.org/10.1038/nbt0208-169
211 rdf:type schema:CreativeWork
212 sg:pub.10.1038/nrmicro1932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001013360
213 https://doi.org/10.1038/nrmicro1932
214 rdf:type schema:CreativeWork
215 sg:pub.10.1038/nrmicro925 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044916759
216 https://doi.org/10.1038/nrmicro925
217 rdf:type schema:CreativeWork
218 sg:pub.10.1186/1471-2164-9-145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029051534
219 https://doi.org/10.1186/1471-2164-9-145
220 rdf:type schema:CreativeWork
221 sg:pub.10.1186/1754-6834-5-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015528474
222 https://doi.org/10.1186/1754-6834-5-2
223 rdf:type schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1074482237 schema:CreativeWork
225 https://app.dimensions.ai/details/publication/pub.1077202270 schema:CreativeWork
226 https://app.dimensions.ai/details/publication/pub.1081991006 schema:CreativeWork
227 https://app.dimensions.ai/details/publication/pub.1082420306 schema:CreativeWork
228 https://doi.org/10.1002/pmic.200900311 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049880002
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1002/pmic.200900375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011395411
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1002/tcr.20160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006352807
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1006/jmbi.1999.3420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004557405
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.biortech.2010.07.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033429521
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.biotechadv.2010.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049510393
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1016/j.cell.2004.08.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000707919
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.femsre.2004.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035368773
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/s0378-1097(02)00559-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054654860
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/s0378-1097(99)00201-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054655540
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1073/pnas.0605381103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034192948
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1073/pnas.0700087104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044821877
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1073/pnas.1012175107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044623991
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1073/pnas.1118440109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008904998
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1086/383593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044810549
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1093/bioinformatics/btp612 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043232906
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1093/nar/28.5.1206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038715091
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1093/nar/gkn663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025440024
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1093/nar/gkp335 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007915246
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1099/00207713-34-2-155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060347783
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1099/00207713-44-4-812 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060349038
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1099/mic.0.037085-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000326512
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1111/j.1365-2958.2005.04473.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1015981030
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1111/j.1574-6941.2008.00633.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050854140
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1111/j.1574-6968.1998.tb12950.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011734333
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1111/j.1574-6968.2002.tb11123.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004601758
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1111/j.1742-4658.2009.07025.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031963458
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1126/science.1114736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009106987
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1126/science.1121416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003868343
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1126/science.1126131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062453673
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1126/science.1137016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049275105
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1126/science.1139523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062455297
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1128/aem.00724-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030276330
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1128/jb.01064-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017208086
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1128/jb.01160-07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015294145
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1128/jb.01450-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018394070
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1128/jb.183.16.4823-4838.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025210625
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1128/jb.183.20.5877-5884.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016427756
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1128/jb.185.10.3042-3048.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026406658
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1128/jb.185.17.5109-5116.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006841702
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1128/jb.185.20.5907-5914.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040415960
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1128/jb.185.20.6067-6075.2003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018895918
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1128/jb.187.1.99-106.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021657866
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1128/jb.187.7.2261-2266.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029239636
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1128/jb.188.7.2614-2624.2006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009651247
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1128/mmbr.66.3.506-577.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046000620
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1128/mmbr.69.1.124-154.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004701769
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1146/annurev.micro.57.030502.091022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024787833
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1271/bbb.80479 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005389070
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1371/journal.pone.0056063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040536305
327 rdf:type schema:CreativeWork
328 https://www.grid.ac/institutes/grid.12136.37 schema:alternateName Tel Aviv University
329 schema:name Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Ramat Aviv, 69978, Israel
330 rdf:type schema:Organization
331 https://www.grid.ac/institutes/grid.13992.30 schema:alternateName Weizmann Institute of Science
332 schema:name Department of Biological Chemistry, Weizmann Institute of Science, 76100, Rehovot, Israel
333 rdf:type schema:Organization
334 https://www.grid.ac/institutes/grid.266900.b schema:alternateName University of Oklahoma
335 schema:name Institute for Environmental Genomics, Department of Botany and Microbiology, University of Oklahoma, 73072, Norman, OK, USA
336 rdf:type schema:Organization
337 https://www.grid.ac/institutes/grid.411461.7 schema:alternateName University of Tennessee at Knoxville
338 schema:name Department of Civil and Environmental Engineering, University of Tennessee, 37996, Knoxville, TN, USA
339 rdf:type schema:Organization
340 https://www.grid.ac/institutes/grid.458500.c schema:alternateName Qingdao Institute of Bioenergy and Bioprocess Technology
341 schema:name BioEnergy Genome Center, CAS Key Laboratory of Biofuels and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, 266101, Qingdao, Shandong, China
342 rdf:type schema:Organization
 




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


...