Comparative characterization of methanotrophic enrichments by serological and molecular methods View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-05

AUTHORS

N. V. Slobodova, T. V. Kolganova, E. S. Boulygina, B. B. Kuznetsov, T. P. Tourova, I. K. Kravchenko

ABSTRACT

Three stable methane-oxidizing enrichment cultures, SB26, SB31, and SB31A, were analyzed by transmission electron microscopy and by serological and molecular techniques. Electron microscopy revealed the presence of both type I and type II methanotrophs in SB31 and SB31A enrichments; only type II methanotrophs were found in SB26 enrichment. Methylosinus trichosporium was detected in all three enrichments by the application of species-specific antibodies. Additionally, Methylocystis echinoides was found in SB26 culture; Methylococcus capsulatus, in SB31 and SB31A; and Methylomonas methanica, in SB31. The analysis with pmoA and nifH gene sequences as phylogenetic markers revealed the presence of Methylosinus/Methylocystis group in all communities. Moreover, the analysis of pmoA sequences revealed the presence of Methylomonas in SB31. Methylocella was detected in SB31 and SB31A enrichments only by nifH analysis. It was concluded that the simultaneous application of different approaches reveals more reliable information on the diversity of methanotrophs. More... »

PAGES

336-342

References to SciGraph publications

Journal

TITLE

Microbiology

ISSUE

3

VOLUME

75

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0026261706030167

DOI

http://dx.doi.org/10.1134/s0026261706030167

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040326254


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": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 1, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Slobodova", 
        "givenName": "N. V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 1, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kolganova", 
        "givenName": "T. V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 1, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boulygina", 
        "givenName": "E. S.", 
        "id": "sg:person.0721643054.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721643054.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 1, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuznetsov", 
        "givenName": "B. B.", 
        "id": "sg:person.01151135415.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151135415.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Winogradsky Institute of Microbiology RAS, pr. 60-letiya Oktyabrya 7, k. 2, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tourova", 
        "givenName": "T. P.", 
        "id": "sg:person.01272064263.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272064263.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Winogradsky Institute of Microbiology RAS, pr. 60-letiya Oktyabrya 7, k. 2, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kravchenko", 
        "givenName": "I. K.", 
        "id": "sg:person.0623173176.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623173176.49"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/aem.67.6.2395-2403.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005947286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.67.10.4850-4857.2001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010354884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-6496(03)00260-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015039012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0038-0717(96)00233-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018539524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02097737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024236212", 
          "https://doi.org/10.1007/bf02097737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02097737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024236212", 
          "https://doi.org/10.1007/bf02097737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1995.tb07834.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029991855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1995.tb07834.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029991855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.1996.tb00347.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031848572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.1996.tb00347.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031848572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-6496(02)00461-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040592868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.1995.tb00167.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041764721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6941.1995.tb00167.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041764721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1462-2920.2003.00450.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045160617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01576018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049497246", 
          "https://doi.org/10.1007/bf01576018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/10.5.569", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059413429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-50-3-955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060350292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074498812", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074809587", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075128628", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082959839", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-05", 
    "datePublishedReg": "2006-05-01", 
    "description": "Three stable methane-oxidizing enrichment cultures, SB26, SB31, and SB31A, were analyzed by transmission electron microscopy and by serological and molecular techniques. Electron microscopy revealed the presence of both type I and type II methanotrophs in SB31 and SB31A enrichments; only type II methanotrophs were found in SB26 enrichment. Methylosinus trichosporium was detected in all three enrichments by the application of species-specific antibodies. Additionally, Methylocystis echinoides was found in SB26 culture; Methylococcus capsulatus, in SB31 and SB31A; and Methylomonas methanica, in SB31. The analysis with pmoA and nifH gene sequences as phylogenetic markers revealed the presence of Methylosinus/Methylocystis group in all communities. Moreover, the analysis of pmoA sequences revealed the presence of Methylomonas in SB31. Methylocella was detected in SB31 and SB31A enrichments only by nifH analysis. It was concluded that the simultaneous application of different approaches reveals more reliable information on the diversity of methanotrophs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0026261706030167", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1327383", 
        "issn": [
          "0026-3656", 
          "0026-2617"
        ], 
        "name": "Microbiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "75"
      }
    ], 
    "name": "Comparative characterization of methanotrophic enrichments by serological and molecular methods", 
    "pagination": "336-342", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c018c51ed36920580a32e5e1a5810d8d42921258a199ab3800187b8bb4309d22"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0026261706030167"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040326254"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0026261706030167", 
      "https://app.dimensions.ai/details/publication/pub.1040326254"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:57", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000500.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0026261706030167"
  }
]
 

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.10.1134/s0026261706030167'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0026261706030167'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0026261706030167'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0026261706030167'


 

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

146 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0026261706030167 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N5f375bbd3e9c44e0aa6d5a1f6103a033
4 schema:citation sg:pub.10.1007/bf01576018
5 sg:pub.10.1007/bf02097737
6 https://app.dimensions.ai/details/publication/pub.1074498812
7 https://app.dimensions.ai/details/publication/pub.1074809587
8 https://app.dimensions.ai/details/publication/pub.1075128628
9 https://app.dimensions.ai/details/publication/pub.1082959839
10 https://doi.org/10.1016/s0038-0717(96)00233-7
11 https://doi.org/10.1016/s0168-6496(02)00461-0
12 https://doi.org/10.1016/s0168-6496(03)00260-5
13 https://doi.org/10.1046/j.1462-2920.2003.00450.x
14 https://doi.org/10.1093/bioinformatics/10.5.569
15 https://doi.org/10.1099/00207713-50-3-955
16 https://doi.org/10.1111/j.1574-6941.1995.tb00167.x
17 https://doi.org/10.1111/j.1574-6941.1996.tb00347.x
18 https://doi.org/10.1111/j.1574-6968.1995.tb07834.x
19 https://doi.org/10.1128/aem.67.10.4850-4857.2001
20 https://doi.org/10.1128/aem.67.6.2395-2403.2001
21 schema:datePublished 2006-05
22 schema:datePublishedReg 2006-05-01
23 schema:description Three stable methane-oxidizing enrichment cultures, SB26, SB31, and SB31A, were analyzed by transmission electron microscopy and by serological and molecular techniques. Electron microscopy revealed the presence of both type I and type II methanotrophs in SB31 and SB31A enrichments; only type II methanotrophs were found in SB26 enrichment. Methylosinus trichosporium was detected in all three enrichments by the application of species-specific antibodies. Additionally, Methylocystis echinoides was found in SB26 culture; Methylococcus capsulatus, in SB31 and SB31A; and Methylomonas methanica, in SB31. The analysis with pmoA and nifH gene sequences as phylogenetic markers revealed the presence of Methylosinus/Methylocystis group in all communities. Moreover, the analysis of pmoA sequences revealed the presence of Methylomonas in SB31. Methylocella was detected in SB31 and SB31A enrichments only by nifH analysis. It was concluded that the simultaneous application of different approaches reveals more reliable information on the diversity of methanotrophs.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf N5447fe5a72aa4d4b90a72f71062bc0e0
28 N6b0727a6adf749989b6d1ce664a34642
29 sg:journal.1327383
30 schema:name Comparative characterization of methanotrophic enrichments by serological and molecular methods
31 schema:pagination 336-342
32 schema:productId N10f8aa34fafa419a8897b2cfe41bf312
33 N3ed26167e2424069986001098a90892b
34 N8c1fdab927894b40be9d3e2dd5e6a5b7
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040326254
36 https://doi.org/10.1134/s0026261706030167
37 schema:sdDatePublished 2019-04-11T01:57
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N510976732394435f9285a0fae5772ae0
40 schema:url http://link.springer.com/10.1134/S0026261706030167
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N0d49dcd6be544f998375b0a9241a045b rdf:first N979d4440aade443c86b709e44f53599d
45 rdf:rest N37233ca0b8ed483e9c351cea89326dc0
46 N10f8aa34fafa419a8897b2cfe41bf312 schema:name readcube_id
47 schema:value c018c51ed36920580a32e5e1a5810d8d42921258a199ab3800187b8bb4309d22
48 rdf:type schema:PropertyValue
49 N37233ca0b8ed483e9c351cea89326dc0 rdf:first sg:person.0721643054.10
50 rdf:rest Nd1058bf822a34be99f75261ba1369375
51 N3ed26167e2424069986001098a90892b schema:name dimensions_id
52 schema:value pub.1040326254
53 rdf:type schema:PropertyValue
54 N510976732394435f9285a0fae5772ae0 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 N5447fe5a72aa4d4b90a72f71062bc0e0 schema:volumeNumber 75
57 rdf:type schema:PublicationVolume
58 N5f375bbd3e9c44e0aa6d5a1f6103a033 rdf:first Nf232d92eb57141b2b447d6192ef32f97
59 rdf:rest N0d49dcd6be544f998375b0a9241a045b
60 N6b0727a6adf749989b6d1ce664a34642 schema:issueNumber 3
61 rdf:type schema:PublicationIssue
62 N79b0babc8f044cec9ba96e6062fa047c rdf:first sg:person.01272064263.65
63 rdf:rest Ndf97d4687e734a29b10ff87cad023bfd
64 N8c1fdab927894b40be9d3e2dd5e6a5b7 schema:name doi
65 schema:value 10.1134/s0026261706030167
66 rdf:type schema:PropertyValue
67 N979d4440aade443c86b709e44f53599d schema:affiliation https://www.grid.ac/institutes/grid.482762.d
68 schema:familyName Kolganova
69 schema:givenName T. V.
70 rdf:type schema:Person
71 Nd1058bf822a34be99f75261ba1369375 rdf:first sg:person.01151135415.38
72 rdf:rest N79b0babc8f044cec9ba96e6062fa047c
73 Ndf97d4687e734a29b10ff87cad023bfd rdf:first sg:person.0623173176.49
74 rdf:rest rdf:nil
75 Nf232d92eb57141b2b447d6192ef32f97 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
76 schema:familyName Slobodova
77 schema:givenName N. V.
78 rdf:type schema:Person
79 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
80 schema:name Biological Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
83 schema:name Genetics
84 rdf:type schema:DefinedTerm
85 sg:journal.1327383 schema:issn 0026-2617
86 0026-3656
87 schema:name Microbiology
88 rdf:type schema:Periodical
89 sg:person.01151135415.38 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
90 schema:familyName Kuznetsov
91 schema:givenName B. B.
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151135415.38
93 rdf:type schema:Person
94 sg:person.01272064263.65 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
95 schema:familyName Tourova
96 schema:givenName T. P.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272064263.65
98 rdf:type schema:Person
99 sg:person.0623173176.49 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
100 schema:familyName Kravchenko
101 schema:givenName I. K.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623173176.49
103 rdf:type schema:Person
104 sg:person.0721643054.10 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
105 schema:familyName Boulygina
106 schema:givenName E. S.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721643054.10
108 rdf:type schema:Person
109 sg:pub.10.1007/bf01576018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049497246
110 https://doi.org/10.1007/bf01576018
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/bf02097737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024236212
113 https://doi.org/10.1007/bf02097737
114 rdf:type schema:CreativeWork
115 https://app.dimensions.ai/details/publication/pub.1074498812 schema:CreativeWork
116 https://app.dimensions.ai/details/publication/pub.1074809587 schema:CreativeWork
117 https://app.dimensions.ai/details/publication/pub.1075128628 schema:CreativeWork
118 https://app.dimensions.ai/details/publication/pub.1082959839 schema:CreativeWork
119 https://doi.org/10.1016/s0038-0717(96)00233-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018539524
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/s0168-6496(02)00461-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040592868
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/s0168-6496(03)00260-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015039012
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1046/j.1462-2920.2003.00450.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045160617
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1093/bioinformatics/10.5.569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059413429
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1099/00207713-50-3-955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350292
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1111/j.1574-6941.1995.tb00167.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041764721
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1111/j.1574-6941.1996.tb00347.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031848572
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1111/j.1574-6968.1995.tb07834.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029991855
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1128/aem.67.10.4850-4857.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010354884
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1128/aem.67.6.2395-2403.2001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005947286
140 rdf:type schema:CreativeWork
141 https://www.grid.ac/institutes/grid.482762.d schema:alternateName Bioengineering Center
142 schema:name Bioengineering Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 1, 117312, Moscow, Russia
143 rdf:type schema:Organization
144 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
145 schema:name Winogradsky Institute of Microbiology RAS, pr. 60-letiya Oktyabrya 7, k. 2, 117312, Moscow, Russia
146 rdf:type schema:Organization
 




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


...