Phylogeny of Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase Genes in Haloalkaliphilic Obligately Autotrophic Sulfur-Oxidizing Bacteria of the Genus Thioalkalivibrio View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-05

AUTHORS

T. P. Tourova, E. M. Spiridonova, I. A. Berg, B. B. Kuznetsov, D. Yu. Sorokin

ABSTRACT

Fragments of genes of the “green-like” form I ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) of eight species of haloalkaliphilic obligately autotrophic sulfur-oxidizing bacteria of the genus Thioalkalivibrio have been revealed and sequenced using previously developed oligonucleotide primers. The data obtained are used for the construction of phylogenetic trees on the basis of nucleotide sequences of RuBisCO genes and their conceptual translations into amino acid sequences. Comparative analysis of the 16S rRNA and RuBisCO gene trees reveals discrepancies between their topologies. According to a RuBisCO gene analysis, the genus Thioalkalivibrio is not monophyletic, and its inner divergence conforms to the significant morphological differences observed between the species. Presumably, horizontal (interspecies) gene transfer was involved in the evolution of the genus Thioalkalivibrio. More... »

PAGES

321-328

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11021-005-0070-3

DOI

http://dx.doi.org/10.1007/s11021-005-0070-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042319176


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": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Winogradsky Institute of Microbiology, Russian Academy of Sciences, 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": "Moscow State University", 
          "id": "https://www.grid.ac/institutes/grid.14476.30", 
          "name": [
            "Moscow State University, 119899, Vorob\u2019evy gory, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Spiridonova", 
        "givenName": "E. M.", 
        "id": "sg:person.0756437614.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756437614.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Moscow State University", 
          "id": "https://www.grid.ac/institutes/grid.14476.30", 
          "name": [
            "Moscow State University, 119899, Vorob\u2019evy gory, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berg", 
        "givenName": "I. A.", 
        "id": "sg:person.0747467505.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747467505.41"
        ], 
        "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, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 2, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sorokin", 
        "givenName": "D. Yu.", 
        "id": "sg:person.01317433741.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317433741.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1128/jb.184.2.468-478.2002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002278465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1997.tb10165.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005124925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1574-6968.1997.tb10165.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005124925"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a025647", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013625341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msg100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025550237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00792-004-0391-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038923792", 
          "https://doi.org/10.1007/s00792-004-0391-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a025648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040453732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1002445704444", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044597344", 
          "https://doi.org/10.1023/a:1002445704444"
        ], 
        "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/10.1099/00207713-51-2-565", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060350479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-52-2-657", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060350765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-52-3-913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060350811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/00207713-52-6-2175", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060350971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/ijs.0.02339-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060383357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/ijs.0.02615-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060383705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.27015-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060397045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076880052", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-05", 
    "datePublishedReg": "2005-05-01", 
    "description": "Fragments of genes of the \u201cgreen-like\u201d form I ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) of eight species of haloalkaliphilic obligately autotrophic sulfur-oxidizing bacteria of the genus Thioalkalivibrio have been revealed and sequenced using previously developed oligonucleotide primers. The data obtained are used for the construction of phylogenetic trees on the basis of nucleotide sequences of RuBisCO genes and their conceptual translations into amino acid sequences. Comparative analysis of the 16S rRNA and RuBisCO gene trees reveals discrepancies between their topologies. According to a RuBisCO gene analysis, the genus Thioalkalivibrio is not monophyletic, and its inner divergence conforms to the significant morphological differences observed between the species. Presumably, horizontal (interspecies) gene transfer was involved in the evolution of the genus Thioalkalivibrio.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11021-005-0070-3", 
    "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": "74"
      }
    ], 
    "name": "Phylogeny of Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase Genes in Haloalkaliphilic Obligately Autotrophic Sulfur-Oxidizing Bacteria of the Genus Thioalkalivibrio", 
    "pagination": "321-328", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c995d3cf7043ce1872758da252e9bd7e7410d75e9ff33155b25b7a6ceb8264e8"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11021-005-0070-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042319176"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11021-005-0070-3", 
      "https://app.dimensions.ai/details/publication/pub.1042319176"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:06", 
    "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/v90/0000000352_0000000352/records_60375_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11021-005-0070-3"
  }
]
 

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/s11021-005-0070-3'

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/s11021-005-0070-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11021-005-0070-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11021-005-0070-3'


 

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

144 TRIPLES      21 PREDICATES      43 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11021-005-0070-3 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nb691596842304932a9b5a9c4e65220b5
4 schema:citation sg:pub.10.1007/s00792-004-0391-6
5 sg:pub.10.1023/a:1002445704444
6 https://app.dimensions.ai/details/publication/pub.1076880052
7 https://doi.org/10.1093/bioinformatics/10.5.569
8 https://doi.org/10.1093/molbev/msg100
9 https://doi.org/10.1093/oxfordjournals.molbev.a025647
10 https://doi.org/10.1093/oxfordjournals.molbev.a025648
11 https://doi.org/10.1099/00207713-51-2-565
12 https://doi.org/10.1099/00207713-52-2-657
13 https://doi.org/10.1099/00207713-52-3-913
14 https://doi.org/10.1099/00207713-52-6-2175
15 https://doi.org/10.1099/ijs.0.02339-0
16 https://doi.org/10.1099/ijs.0.02615-0
17 https://doi.org/10.1099/mic.0.27015-0
18 https://doi.org/10.1111/j.1574-6968.1997.tb10165.x
19 https://doi.org/10.1128/jb.184.2.468-478.2002
20 schema:datePublished 2005-05
21 schema:datePublishedReg 2005-05-01
22 schema:description Fragments of genes of the “green-like” form I ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) of eight species of haloalkaliphilic obligately autotrophic sulfur-oxidizing bacteria of the genus Thioalkalivibrio have been revealed and sequenced using previously developed oligonucleotide primers. The data obtained are used for the construction of phylogenetic trees on the basis of nucleotide sequences of RuBisCO genes and their conceptual translations into amino acid sequences. Comparative analysis of the 16S rRNA and RuBisCO gene trees reveals discrepancies between their topologies. According to a RuBisCO gene analysis, the genus Thioalkalivibrio is not monophyletic, and its inner divergence conforms to the significant morphological differences observed between the species. Presumably, horizontal (interspecies) gene transfer was involved in the evolution of the genus Thioalkalivibrio.
23 schema:genre research_article
24 schema:inLanguage en
25 schema:isAccessibleForFree false
26 schema:isPartOf N12fbb91be1664829a86a1d9f783a36f2
27 N18165a61e1bb44f7bf667c4f6924b8a9
28 sg:journal.1327383
29 schema:name Phylogeny of Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase Genes in Haloalkaliphilic Obligately Autotrophic Sulfur-Oxidizing Bacteria of the Genus Thioalkalivibrio
30 schema:pagination 321-328
31 schema:productId Nb4d42c99f74c4c26ae1da58251814c9d
32 Ncaf3810ea8f34601ad5543425bd76312
33 Ne377b58eecb34a7ba220fd6d1be72c39
34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042319176
35 https://doi.org/10.1007/s11021-005-0070-3
36 schema:sdDatePublished 2019-04-11T11:06
37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
38 schema:sdPublisher N8988bc6088fb433388fd2d7fae219da3
39 schema:url http://link.springer.com/10.1007%2Fs11021-005-0070-3
40 sgo:license sg:explorer/license/
41 sgo:sdDataset articles
42 rdf:type schema:ScholarlyArticle
43 N12fbb91be1664829a86a1d9f783a36f2 schema:volumeNumber 74
44 rdf:type schema:PublicationVolume
45 N18165a61e1bb44f7bf667c4f6924b8a9 schema:issueNumber 3
46 rdf:type schema:PublicationIssue
47 N4e0403a6ad51496da27594112d9a2012 rdf:first sg:person.01151135415.38
48 rdf:rest Ncec10df2d63041a79474946121e45165
49 N8988bc6088fb433388fd2d7fae219da3 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N9ee6e1d07c5c4360bc3157a62ef5ee6b rdf:first sg:person.0756437614.17
52 rdf:rest Nc94c2ddf502140b98a0a7b8b61ca170d
53 Nb4d42c99f74c4c26ae1da58251814c9d schema:name doi
54 schema:value 10.1007/s11021-005-0070-3
55 rdf:type schema:PropertyValue
56 Nb691596842304932a9b5a9c4e65220b5 rdf:first sg:person.01272064263.65
57 rdf:rest N9ee6e1d07c5c4360bc3157a62ef5ee6b
58 Nc94c2ddf502140b98a0a7b8b61ca170d rdf:first sg:person.0747467505.41
59 rdf:rest N4e0403a6ad51496da27594112d9a2012
60 Ncaf3810ea8f34601ad5543425bd76312 schema:name dimensions_id
61 schema:value pub.1042319176
62 rdf:type schema:PropertyValue
63 Ncec10df2d63041a79474946121e45165 rdf:first sg:person.01317433741.40
64 rdf:rest rdf:nil
65 Ne377b58eecb34a7ba220fd6d1be72c39 schema:name readcube_id
66 schema:value c995d3cf7043ce1872758da252e9bd7e7410d75e9ff33155b25b7a6ceb8264e8
67 rdf:type schema:PropertyValue
68 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
69 schema:name Biological Sciences
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
72 schema:name Genetics
73 rdf:type schema:DefinedTerm
74 sg:journal.1327383 schema:issn 0026-2617
75 0026-3656
76 schema:name Microbiology
77 rdf:type schema:Periodical
78 sg:person.01151135415.38 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
79 schema:familyName Kuznetsov
80 schema:givenName B. B.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151135415.38
82 rdf:type schema:Person
83 sg:person.01272064263.65 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
84 schema:familyName Tourova
85 schema:givenName T. P.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01272064263.65
87 rdf:type schema:Person
88 sg:person.01317433741.40 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
89 schema:familyName Sorokin
90 schema:givenName D. Yu.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317433741.40
92 rdf:type schema:Person
93 sg:person.0747467505.41 schema:affiliation https://www.grid.ac/institutes/grid.14476.30
94 schema:familyName Berg
95 schema:givenName I. A.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747467505.41
97 rdf:type schema:Person
98 sg:person.0756437614.17 schema:affiliation https://www.grid.ac/institutes/grid.14476.30
99 schema:familyName Spiridonova
100 schema:givenName E. M.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756437614.17
102 rdf:type schema:Person
103 sg:pub.10.1007/s00792-004-0391-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038923792
104 https://doi.org/10.1007/s00792-004-0391-6
105 rdf:type schema:CreativeWork
106 sg:pub.10.1023/a:1002445704444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044597344
107 https://doi.org/10.1023/a:1002445704444
108 rdf:type schema:CreativeWork
109 https://app.dimensions.ai/details/publication/pub.1076880052 schema:CreativeWork
110 https://doi.org/10.1093/bioinformatics/10.5.569 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059413429
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1093/molbev/msg100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025550237
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1093/oxfordjournals.molbev.a025647 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013625341
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1093/oxfordjournals.molbev.a025648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040453732
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1099/00207713-51-2-565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350479
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1099/00207713-52-2-657 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350765
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1099/00207713-52-3-913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350811
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1099/00207713-52-6-2175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060350971
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1099/ijs.0.02339-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060383357
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1099/ijs.0.02615-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060383705
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1099/mic.0.27015-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060397045
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1111/j.1574-6968.1997.tb10165.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005124925
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1128/jb.184.2.468-478.2002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002278465
135 rdf:type schema:CreativeWork
136 https://www.grid.ac/institutes/grid.14476.30 schema:alternateName Moscow State University
137 schema:name Moscow State University, 119899, Vorob’evy gory, Moscow, Russia
138 rdf:type schema:Organization
139 https://www.grid.ac/institutes/grid.482762.d schema:alternateName Bioengineering Center
140 schema:name Bioengineering Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 1, 117312, Moscow, Russia
141 rdf:type schema:Organization
142 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
143 schema:name Winogradsky Institute of Microbiology, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7, k. 2, 117312, Moscow, Russia
144 rdf:type schema:Organization
 




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


...