Asymmetrical response of anaerobic digestion microbiota to temperature changes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-02

AUTHORS

Olivier Chapleur, Laurent Mazeas, Jean-Jacques Godon, Théodore Bouchez

ABSTRACT

In natural settings, anaerobic digestion can take place in a wide temperature range, but industrial digesters are usually operated under either mesophilic (~35 °C) or thermophilic (~55 °C) conditions. The ability of anaerobic digestion microbiota to switch from one operating temperature to the other remains poorly documented. We therefore studied the effect of sudden temperature changes (35 °C/55 °C) in lab-scale bioreactors degrading 13C-labelled cellulose. An asymmetric behaviour was observed. In terms of methane production, after an adaptation period, mesophilic inoculum exhibited a functional resistance to temperature increase but no functional resilience when temperature was reset to 35 °C, while thermophilic inoculum methanogenic activity strongly decreased under mesophilic conditions but partially recovered when temperature was reset to 55 °C. Automated ribosomal intergenic spacer analysis community fingerprints evidenced a strong influence of temperature on microbial diversity, particularly pronounced and persistent for Archaea. Key phylotypes involved in 13C-cellulose degradation were identified with a coupled stable isotope probing (SIP)-16S rDNA pyrotag sequencing approach, suggesting that the hydrolytic and fermentative metabolic functions could be maintained thanks to functional redundancy between members of the class Clostridia, whereas methanogenic activity primarily relied on specialized groups affiliated either to genus Methanosarcina (mesophilic conditions), Methanothermobacter or Methanoculleus (thermophilic conditions) that were irreversibly modified by temperature increase. More... »

PAGES

1445-1457

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00253-015-7046-7

DOI

http://dx.doi.org/10.1007/s00253-015-7046-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033338790

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26490550


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Research Institute of Science and Technology for Environment and Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.48142.3b", 
          "name": [
            "Hydrosystems and Bioprocesses Research Unit, Irstea, 1 rue Pierre-Gilles de Gennes, CS 10030, 92761, Antony Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chapleur", 
        "givenName": "Olivier", 
        "id": "sg:person.01325061775.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325061775.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Science and Technology for Environment and Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.48142.3b", 
          "name": [
            "Hydrosystems and Bioprocesses Research Unit, Irstea, 1 rue Pierre-Gilles de Gennes, CS 10030, 92761, Antony Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mazeas", 
        "givenName": "Laurent", 
        "id": "sg:person.01164717137.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164717137.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Biotechnologie de l'Environnement", 
          "id": "https://www.grid.ac/institutes/grid.419083.7", 
          "name": [
            "UR0050, Laboratoire de Biotechnologie de l\u2019Environnement, INRA, Avenue des Etangs, 11100, Narbonne, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Godon", 
        "givenName": "Jean-Jacques", 
        "id": "sg:person.01341422306.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341422306.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Institute of Science and Technology for Environment and Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.48142.3b", 
          "name": [
            "Hydrosystems and Bioprocesses Research Unit, Irstea, 1 rue Pierre-Gilles de Gennes, CS 10030, 92761, Antony Cedex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bouchez", 
        "givenName": "Th\u00e9odore", 
        "id": "sg:person.01150143330.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150143330.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1432-1033.1980.tb04297.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001745782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1018513530268", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001866386", 
          "https://doi.org/10.1023/a:1018513530268"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2008.01.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004746436"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.f.303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009032055", 
          "https://doi.org/10.1038/nmeth.f.303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.f.303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009032055", 
          "https://doi.org/10.1038/nmeth.f.303"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2005.00904.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012696972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2005.00904.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012696972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-1777-1_14", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014705482", 
          "https://doi.org/10.1007/978-1-4615-1777-1_14"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2004.12.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015285550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.femsec.2004.02.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017161991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2009.02609.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018715524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2010.02201.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018800338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2010.02201.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018800338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0273-1223(97)00202-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024081803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.68.10.5064-5081.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029374214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1574-6941.12249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033294824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2003.10.055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033823115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btp636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034512291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2006.00263.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037800177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2005.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038858801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2005.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038858801"
        ], 
        "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/10.1111/j.1462-2920.2008.01810.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045093053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.00062-07", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045980007"
        ], 
        "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.10.1186/1755-8794-3-41", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046200955", 
          "https://doi.org/10.1186/1755-8794-3-41"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-294x.2000.00953.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046384255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2009.01909.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047428788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1462-2920.2009.01909.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047428788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2014.11.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047932377"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.70.10.6147-6156.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049732778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35001054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052238258", 
          "https://doi.org/10.1038/35001054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35001054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052238258", 
          "https://doi.org/10.1038/35001054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2010.00883.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052894959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.2010.00883.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052894959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-6496(99)00016-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054623191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2009.316", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069143315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2225/vol10-issue3-fulltext-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069345204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074466855", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074529334", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2001.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074826225"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.2003.0362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076603664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2166/wst.1997.0383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104097628"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-02", 
    "datePublishedReg": "2016-02-01", 
    "description": "In natural settings, anaerobic digestion can take place in a wide temperature range, but industrial digesters are usually operated under either mesophilic (~35\u00a0\u00b0C) or thermophilic (~55\u00a0\u00b0C) conditions. The ability of anaerobic digestion microbiota to switch from one operating temperature to the other remains poorly documented. We therefore studied the effect of sudden temperature changes (35\u00a0\u00b0C/55\u00a0\u00b0C) in lab-scale bioreactors degrading 13C-labelled cellulose. An asymmetric behaviour was observed. In terms of methane production, after an adaptation period, mesophilic inoculum exhibited a functional resistance to temperature increase but no functional resilience when temperature was reset to 35\u00a0\u00b0C, while thermophilic inoculum methanogenic activity strongly decreased under mesophilic conditions but partially recovered when temperature was reset to 55\u00a0\u00b0C. Automated ribosomal intergenic spacer analysis community fingerprints evidenced a strong influence of temperature on microbial diversity, particularly pronounced and persistent for Archaea. Key phylotypes involved in 13C-cellulose degradation were identified with a coupled stable isotope probing (SIP)-16S rDNA pyrotag sequencing approach, suggesting that the hydrolytic and fermentative metabolic functions could be maintained thanks to functional redundancy between members of the class Clostridia, whereas methanogenic activity primarily relied on specialized groups affiliated either to genus Methanosarcina (mesophilic conditions), Methanothermobacter or Methanoculleus (thermophilic conditions) that were irreversibly modified by temperature increase.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00253-015-7046-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1083533", 
        "issn": [
          "0175-7598", 
          "1432-0614"
        ], 
        "name": "Applied Microbiology and Biotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "100"
      }
    ], 
    "name": "Asymmetrical response of anaerobic digestion microbiota to temperature changes", 
    "pagination": "1445-1457", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9ed2061e59af52bb9b75e1f2b789418f3cc2c2d53d1e40728596138f9e6e3e02"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26490550"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8406612"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00253-015-7046-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033338790"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00253-015-7046-7", 
      "https://app.dimensions.ai/details/publication/pub.1033338790"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:23", 
    "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_8697_00000607.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00253-015-7046-7"
  }
]
 

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.10.1007/s00253-015-7046-7'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00253-015-7046-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00253-015-7046-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00253-015-7046-7'


 

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

204 TRIPLES      21 PREDICATES      65 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00253-015-7046-7 schema:about anzsrc-for:06
2 anzsrc-for:0605
3 schema:author Na4794cb3de37434b965dce5c2b2dba0f
4 schema:citation sg:pub.10.1007/978-1-4615-1777-1_14
5 sg:pub.10.1023/a:1018513530268
6 sg:pub.10.1038/35001054
7 sg:pub.10.1038/nmeth.f.303
8 sg:pub.10.1186/1755-8794-3-41
9 https://app.dimensions.ai/details/publication/pub.1074466855
10 https://app.dimensions.ai/details/publication/pub.1074529334
11 https://doi.org/10.1016/j.biortech.2008.01.034
12 https://doi.org/10.1016/j.biortech.2014.11.021
13 https://doi.org/10.1016/j.femsec.2004.02.012
14 https://doi.org/10.1016/j.watres.2003.10.055
15 https://doi.org/10.1016/j.watres.2004.12.042
16 https://doi.org/10.1016/j.watres.2005.03.016
17 https://doi.org/10.1016/s0168-6496(99)00016-1
18 https://doi.org/10.1016/s0273-1223(97)00202-3
19 https://doi.org/10.1046/j.1365-294x.2000.00953.x
20 https://doi.org/10.1093/bioinformatics/btp636
21 https://doi.org/10.1093/nar/gkn879
22 https://doi.org/10.1111/1574-6941.12249
23 https://doi.org/10.1111/j.1432-1033.1980.tb04297.x
24 https://doi.org/10.1111/j.1462-2920.2005.00904.x
25 https://doi.org/10.1111/j.1462-2920.2008.01810.x
26 https://doi.org/10.1111/j.1462-2920.2009.01909.x
27 https://doi.org/10.1111/j.1462-2920.2010.02201.x
28 https://doi.org/10.1111/j.1574-6941.2006.00263.x
29 https://doi.org/10.1111/j.1574-6941.2010.00883.x
30 https://doi.org/10.1111/j.1755-0998.2009.02609.x
31 https://doi.org/10.1128/aem.00062-07
32 https://doi.org/10.1128/aem.68.10.5064-5081.2002
33 https://doi.org/10.1128/aem.70.10.6147-6156.2004
34 https://doi.org/10.1128/mmbr.66.3.506-577.2002
35 https://doi.org/10.2166/wst.1997.0383
36 https://doi.org/10.2166/wst.2001.0001
37 https://doi.org/10.2166/wst.2003.0362
38 https://doi.org/10.2166/wst.2009.316
39 https://doi.org/10.2225/vol10-issue3-fulltext-7
40 schema:datePublished 2016-02
41 schema:datePublishedReg 2016-02-01
42 schema:description In natural settings, anaerobic digestion can take place in a wide temperature range, but industrial digesters are usually operated under either mesophilic (~35 °C) or thermophilic (~55 °C) conditions. The ability of anaerobic digestion microbiota to switch from one operating temperature to the other remains poorly documented. We therefore studied the effect of sudden temperature changes (35 °C/55 °C) in lab-scale bioreactors degrading <sup>13</sup>C-labelled cellulose. An asymmetric behaviour was observed. In terms of methane production, after an adaptation period, mesophilic inoculum exhibited a functional resistance to temperature increase but no functional resilience when temperature was reset to 35 °C, while thermophilic inoculum methanogenic activity strongly decreased under mesophilic conditions but partially recovered when temperature was reset to 55 °C. Automated ribosomal intergenic spacer analysis community fingerprints evidenced a strong influence of temperature on microbial diversity, particularly pronounced and persistent for Archaea. Key phylotypes involved in <sup>13</sup>C-cellulose degradation were identified with a coupled stable isotope probing (SIP)-16S rDNA pyrotag sequencing approach, suggesting that the hydrolytic and fermentative metabolic functions could be maintained thanks to functional redundancy between members of the class Clostridia, whereas methanogenic activity primarily relied on specialized groups affiliated either to genus Methanosarcina (mesophilic conditions), Methanothermobacter or Methanoculleus (thermophilic conditions) that were irreversibly modified by temperature increase.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf N128c599cce2a4c468a84ebb801ff87a0
47 Nb8c1165ae24e495da94e5a7b70f56d45
48 sg:journal.1083533
49 schema:name Asymmetrical response of anaerobic digestion microbiota to temperature changes
50 schema:pagination 1445-1457
51 schema:productId N18aa614c383c4a8ca5b68b9b81349ab2
52 N4dcd9a887b6e487aaa6e669020d2370a
53 N711af40eb2684239b58dd41cf8f40f2f
54 Nb3e39fa6f326477c97edb075796ceba9
55 Nc18add301a734c1d8db50f4fb9d5c380
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033338790
57 https://doi.org/10.1007/s00253-015-7046-7
58 schema:sdDatePublished 2019-04-11T01:23
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Nee026955d9c74e0fb3b528d96c9587a6
61 schema:url http://link.springer.com/10.1007/s00253-015-7046-7
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N128c599cce2a4c468a84ebb801ff87a0 schema:volumeNumber 100
66 rdf:type schema:PublicationVolume
67 N18aa614c383c4a8ca5b68b9b81349ab2 schema:name doi
68 schema:value 10.1007/s00253-015-7046-7
69 rdf:type schema:PropertyValue
70 N33150d706b5e47158bb9b7e2d46231d9 rdf:first sg:person.01150143330.25
71 rdf:rest rdf:nil
72 N4022b98de3f243a9bc5b88f671f83a58 rdf:first sg:person.01341422306.16
73 rdf:rest N33150d706b5e47158bb9b7e2d46231d9
74 N4dcd9a887b6e487aaa6e669020d2370a schema:name dimensions_id
75 schema:value pub.1033338790
76 rdf:type schema:PropertyValue
77 N6ae0199f0d6344b59bae5cabd5cfb506 rdf:first sg:person.01164717137.55
78 rdf:rest N4022b98de3f243a9bc5b88f671f83a58
79 N711af40eb2684239b58dd41cf8f40f2f schema:name readcube_id
80 schema:value 9ed2061e59af52bb9b75e1f2b789418f3cc2c2d53d1e40728596138f9e6e3e02
81 rdf:type schema:PropertyValue
82 Na4794cb3de37434b965dce5c2b2dba0f rdf:first sg:person.01325061775.43
83 rdf:rest N6ae0199f0d6344b59bae5cabd5cfb506
84 Nb3e39fa6f326477c97edb075796ceba9 schema:name pubmed_id
85 schema:value 26490550
86 rdf:type schema:PropertyValue
87 Nb8c1165ae24e495da94e5a7b70f56d45 schema:issueNumber 3
88 rdf:type schema:PublicationIssue
89 Nc18add301a734c1d8db50f4fb9d5c380 schema:name nlm_unique_id
90 schema:value 8406612
91 rdf:type schema:PropertyValue
92 Nee026955d9c74e0fb3b528d96c9587a6 schema:name Springer Nature - SN SciGraph project
93 rdf:type schema:Organization
94 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
95 schema:name Biological Sciences
96 rdf:type schema:DefinedTerm
97 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
98 schema:name Microbiology
99 rdf:type schema:DefinedTerm
100 sg:journal.1083533 schema:issn 0175-7598
101 1432-0614
102 schema:name Applied Microbiology and Biotechnology
103 rdf:type schema:Periodical
104 sg:person.01150143330.25 schema:affiliation https://www.grid.ac/institutes/grid.48142.3b
105 schema:familyName Bouchez
106 schema:givenName Théodore
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150143330.25
108 rdf:type schema:Person
109 sg:person.01164717137.55 schema:affiliation https://www.grid.ac/institutes/grid.48142.3b
110 schema:familyName Mazeas
111 schema:givenName Laurent
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01164717137.55
113 rdf:type schema:Person
114 sg:person.01325061775.43 schema:affiliation https://www.grid.ac/institutes/grid.48142.3b
115 schema:familyName Chapleur
116 schema:givenName Olivier
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325061775.43
118 rdf:type schema:Person
119 sg:person.01341422306.16 schema:affiliation https://www.grid.ac/institutes/grid.419083.7
120 schema:familyName Godon
121 schema:givenName Jean-Jacques
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341422306.16
123 rdf:type schema:Person
124 sg:pub.10.1007/978-1-4615-1777-1_14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014705482
125 https://doi.org/10.1007/978-1-4615-1777-1_14
126 rdf:type schema:CreativeWork
127 sg:pub.10.1023/a:1018513530268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001866386
128 https://doi.org/10.1023/a:1018513530268
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/35001054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052238258
131 https://doi.org/10.1038/35001054
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/nmeth.f.303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009032055
134 https://doi.org/10.1038/nmeth.f.303
135 rdf:type schema:CreativeWork
136 sg:pub.10.1186/1755-8794-3-41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046200955
137 https://doi.org/10.1186/1755-8794-3-41
138 rdf:type schema:CreativeWork
139 https://app.dimensions.ai/details/publication/pub.1074466855 schema:CreativeWork
140 https://app.dimensions.ai/details/publication/pub.1074529334 schema:CreativeWork
141 https://doi.org/10.1016/j.biortech.2008.01.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004746436
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.biortech.2014.11.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047932377
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.femsec.2004.02.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017161991
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.watres.2003.10.055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033823115
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.watres.2004.12.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015285550
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.watres.2005.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038858801
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/s0168-6496(99)00016-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054623191
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/s0273-1223(97)00202-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024081803
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1046/j.1365-294x.2000.00953.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046384255
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1093/bioinformatics/btp636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034512291
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1093/nar/gkn879 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044918953
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1111/1574-6941.12249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033294824
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1111/j.1432-1033.1980.tb04297.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001745782
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1111/j.1462-2920.2005.00904.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1012696972
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1111/j.1462-2920.2008.01810.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045093053
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1111/j.1462-2920.2009.01909.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047428788
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1111/j.1462-2920.2010.02201.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018800338
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1111/j.1574-6941.2006.00263.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037800177
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1111/j.1574-6941.2010.00883.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052894959
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1111/j.1755-0998.2009.02609.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018715524
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1128/aem.00062-07 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045980007
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1128/aem.68.10.5064-5081.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029374214
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1128/aem.70.10.6147-6156.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049732778
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1128/mmbr.66.3.506-577.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046000620
188 rdf:type schema:CreativeWork
189 https://doi.org/10.2166/wst.1997.0383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104097628
190 rdf:type schema:CreativeWork
191 https://doi.org/10.2166/wst.2001.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074826225
192 rdf:type schema:CreativeWork
193 https://doi.org/10.2166/wst.2003.0362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076603664
194 rdf:type schema:CreativeWork
195 https://doi.org/10.2166/wst.2009.316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069143315
196 rdf:type schema:CreativeWork
197 https://doi.org/10.2225/vol10-issue3-fulltext-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069345204
198 rdf:type schema:CreativeWork
199 https://www.grid.ac/institutes/grid.419083.7 schema:alternateName Laboratoire de Biotechnologie de l'Environnement
200 schema:name UR0050, Laboratoire de Biotechnologie de l’Environnement, INRA, Avenue des Etangs, 11100, Narbonne, France
201 rdf:type schema:Organization
202 https://www.grid.ac/institutes/grid.48142.3b schema:alternateName National Research Institute of Science and Technology for Environment and Agriculture
203 schema:name Hydrosystems and Bioprocesses Research Unit, Irstea, 1 rue Pierre-Gilles de Gennes, CS 10030, 92761, Antony Cedex, France
204 rdf:type schema:Organization
 




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


...