Differences in evolutionary pressure acting within highly conserved ortholog groups View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-12

AUTHORS

Teresa M Przytycka, Raja Jothi, L Aravind, David J Lipman

ABSTRACT

BACKGROUND: In highly conserved widely distributed ortholog groups, the main evolutionary force is assumed to be purifying selection that enforces sequence conservation, with most divergence occurring by accumulation of neutral substitutions. Using a set of ortholog groups from prokaryotes, with a single representative in each studied organism, we asked the question if this evolutionary pressure is acting similarly on different subgroups of orthologs defined as major lineages (e.g. Proteobacteria or Firmicutes). RESULTS: Using correlations in entropy measures as a proxy for evolutionary pressure, we observed two distinct behaviors within our ortholog collection. The first subset of ortholog groups, called here informational, consisted mostly of proteins associated with information processing (i.e. translation, transcription, DNA replication) and the second, the non-informational ortholog groups, mostly comprised of proteins involved in metabolic pathways. The evolutionary pressure acting on non-informational proteins is more uniform relative to their informational counterparts. The non-informational proteins show higher level of correlation between entropy profiles and more uniformity across subgroups. CONCLUSION: The low correlation of entropy profiles in the informational ortholog groups suggest that the evolutionary pressure acting on the informational ortholog groups is not uniform across different clades considered this study. This might suggest "fine-tuning" of informational proteins in each lineage leading to lineage-specific differences in selection. This, in turn, could make these proteins less exchangeable between lineages. In contrast, the uniformity of the selective pressure acting on the non-informational groups might allow the exchange of the genetic material via lateral gene transfer. More... »

PAGES

208

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2148-8-208

DOI

http://dx.doi.org/10.1186/1471-2148-8-208

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034075969

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18637201


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Archaea", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Conserved Sequence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Evolution, Molecular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Transfer, Horizontal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genes, Archaeal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genes, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gram-Positive Bacteria", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Proteobacteria", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Center for Biotechnology Information", 
          "id": "https://www.grid.ac/institutes/grid.419234.9", 
          "name": [
            "National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda20894, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Przytycka", 
        "givenName": "Teresa M", 
        "id": "sg:person.01325035263.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325035263.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Heart Lung and Blood Institute", 
          "id": "https://www.grid.ac/institutes/grid.279885.9", 
          "name": [
            "National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda20894, MD, USA", 
            "National Heart, Lung, and Blood Institute, National Institutes of Health, 20894, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jothi", 
        "givenName": "Raja", 
        "id": "sg:person.01303253115.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303253115.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center for Biotechnology Information", 
          "id": "https://www.grid.ac/institutes/grid.419234.9", 
          "name": [
            "National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda20894, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aravind", 
        "givenName": "L", 
        "id": "sg:person.01106662166.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106662166.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Center for Biotechnology Information", 
          "id": "https://www.grid.ac/institutes/grid.419234.9", 
          "name": [
            "National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda20894, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lipman", 
        "givenName": "David J", 
        "id": "sg:person.01151226033.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151226033.71"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/bioinformatics/12.4.357", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000618136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/18.3.502", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007526298"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2004.03.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009808644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.94.13.6815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016438658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0505425102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017049019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.micro.55.1.709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020062045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkh340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025846396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.7.3801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028400086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/253603a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029629178", 
          "https://doi.org/10.1038/253603a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2007-8-11-r232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030097946", 
          "https://doi.org/10.1186/gb-2007-8-11-r232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btn057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033873095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.200901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035661688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2001-2-12-research0053", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036924176", 
          "https://doi.org/10.1186/gb-2001-2-12-research0053"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037641537", 
          "https://doi.org/10.1038/nature03306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037641537", 
          "https://doi.org/10.1038/nature03306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.278.5338.631", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039646901"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/246096a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039946912", 
          "https://doi.org/10.1038/246096a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9525(02)02722-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041402717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/22.22.4673", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042438223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9525(01)02522-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046493138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2001-2-9-research0033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051143317", 
          "https://doi.org/10.1186/gb-2001-2-9-research0033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-9525(00)02142-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051976650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/17.8.700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052748842"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-12", 
    "datePublishedReg": "2008-12-01", 
    "description": "BACKGROUND: In highly conserved widely distributed ortholog groups, the main evolutionary force is assumed to be purifying selection that enforces sequence conservation, with most divergence occurring by accumulation of neutral substitutions. Using a set of ortholog groups from prokaryotes, with a single representative in each studied organism, we asked the question if this evolutionary pressure is acting similarly on different subgroups of orthologs defined as major lineages (e.g. Proteobacteria or Firmicutes).\nRESULTS: Using correlations in entropy measures as a proxy for evolutionary pressure, we observed two distinct behaviors within our ortholog collection. The first subset of ortholog groups, called here informational, consisted mostly of proteins associated with information processing (i.e. translation, transcription, DNA replication) and the second, the non-informational ortholog groups, mostly comprised of proteins involved in metabolic pathways. The evolutionary pressure acting on non-informational proteins is more uniform relative to their informational counterparts. The non-informational proteins show higher level of correlation between entropy profiles and more uniformity across subgroups.\nCONCLUSION: The low correlation of entropy profiles in the informational ortholog groups suggest that the evolutionary pressure acting on the informational ortholog groups is not uniform across different clades considered this study. This might suggest \"fine-tuning\" of informational proteins in each lineage leading to lineage-specific differences in selection. This, in turn, could make these proteins less exchangeable between lineages. In contrast, the uniformity of the selective pressure acting on the non-informational groups might allow the exchange of the genetic material via lateral gene transfer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2148-8-208", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2720309", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2720271", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2726033", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2726063", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024249", 
        "issn": [
          "1471-2148"
        ], 
        "name": "BMC Evolutionary Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Differences in evolutionary pressure acting within highly conserved ortholog groups", 
    "pagination": "208", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a2545d0fd155ec12e81d14f13e2b50e33cf6891865153bf909eed0f48685afb9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18637201"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966975"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2148-8-208"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034075969"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2148-8-208", 
      "https://app.dimensions.ai/details/publication/pub.1034075969"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:35", 
    "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_8687_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2148-8-208"
  }
]
 

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.10.1186/1471-2148-8-208'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2148-8-208'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2148-8-208'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2148-8-208'


 

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

205 TRIPLES      21 PREDICATES      59 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2148-8-208 schema:about N37657444a803468eaf0fdef55018bd4c
2 N7e10dd6231a144f9a2355d34d359391a
3 N7fe99744165445ec81836fd278c3e91d
4 Nab5069d6e8d342648d2cb09cfc2805c0
5 Nba88117a9d4742bab0f33fb444b14c96
6 Nc4c82bd1974a4bb48af2648ce6112ceb
7 Ndf12456759364657acc39b4bc161e8bd
8 Nebf5fd205c3b4958b8a18c707be5ae33
9 anzsrc-for:06
10 anzsrc-for:0604
11 schema:author Nf276686f1bec402fafc54f0bebd4b139
12 schema:citation sg:pub.10.1038/246096a0
13 sg:pub.10.1038/253603a0
14 sg:pub.10.1038/nature03306
15 sg:pub.10.1186/gb-2001-2-12-research0053
16 sg:pub.10.1186/gb-2001-2-9-research0033
17 sg:pub.10.1186/gb-2007-8-11-r232
18 https://doi.org/10.1016/j.gene.2004.03.017
19 https://doi.org/10.1016/s0168-9525(00)02142-9
20 https://doi.org/10.1016/s0168-9525(01)02522-7
21 https://doi.org/10.1016/s0168-9525(02)02722-1
22 https://doi.org/10.1073/pnas.0505425102
23 https://doi.org/10.1073/pnas.94.13.6815
24 https://doi.org/10.1073/pnas.96.7.3801
25 https://doi.org/10.1093/bioinformatics/12.4.357
26 https://doi.org/10.1093/bioinformatics/17.8.700
27 https://doi.org/10.1093/bioinformatics/18.3.502
28 https://doi.org/10.1093/bioinformatics/btn057
29 https://doi.org/10.1093/nar/22.22.4673
30 https://doi.org/10.1093/nar/gkh340
31 https://doi.org/10.1101/gr.200901
32 https://doi.org/10.1126/science.278.5338.631
33 https://doi.org/10.1146/annurev.micro.55.1.709
34 schema:datePublished 2008-12
35 schema:datePublishedReg 2008-12-01
36 schema:description BACKGROUND: In highly conserved widely distributed ortholog groups, the main evolutionary force is assumed to be purifying selection that enforces sequence conservation, with most divergence occurring by accumulation of neutral substitutions. Using a set of ortholog groups from prokaryotes, with a single representative in each studied organism, we asked the question if this evolutionary pressure is acting similarly on different subgroups of orthologs defined as major lineages (e.g. Proteobacteria or Firmicutes). RESULTS: Using correlations in entropy measures as a proxy for evolutionary pressure, we observed two distinct behaviors within our ortholog collection. The first subset of ortholog groups, called here informational, consisted mostly of proteins associated with information processing (i.e. translation, transcription, DNA replication) and the second, the non-informational ortholog groups, mostly comprised of proteins involved in metabolic pathways. The evolutionary pressure acting on non-informational proteins is more uniform relative to their informational counterparts. The non-informational proteins show higher level of correlation between entropy profiles and more uniformity across subgroups. CONCLUSION: The low correlation of entropy profiles in the informational ortholog groups suggest that the evolutionary pressure acting on the informational ortholog groups is not uniform across different clades considered this study. This might suggest "fine-tuning" of informational proteins in each lineage leading to lineage-specific differences in selection. This, in turn, could make these proteins less exchangeable between lineages. In contrast, the uniformity of the selective pressure acting on the non-informational groups might allow the exchange of the genetic material via lateral gene transfer.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree true
40 schema:isPartOf Na87c413066734058a99767cee2c1914b
41 Nd1ba6504e98b46068e2853d79019549d
42 sg:journal.1024249
43 schema:name Differences in evolutionary pressure acting within highly conserved ortholog groups
44 schema:pagination 208
45 schema:productId N87e7ada9eba2469d9332916df7384c7c
46 N89bf0193ff6f43289d68a4d9d46b8a01
47 N9632d5aad3964ab084499f7620d30ed4
48 Nc06e3fe2e5544f88804a871c7e0420f4
49 Nc62924c5173d41a3a49b01de6278f03e
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034075969
51 https://doi.org/10.1186/1471-2148-8-208
52 schema:sdDatePublished 2019-04-10T21:35
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N237b6555373d459db715fc82debfcf3f
55 schema:url http://link.springer.com/10.1186%2F1471-2148-8-208
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N237b6555373d459db715fc82debfcf3f schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N37657444a803468eaf0fdef55018bd4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Genes, Archaeal
63 rdf:type schema:DefinedTerm
64 N4aac6b92d6a344d19a76803db37c2ab6 rdf:first sg:person.01303253115.13
65 rdf:rest N679fd394be914d0d96cc50914b27ce1e
66 N679fd394be914d0d96cc50914b27ce1e rdf:first sg:person.01106662166.38
67 rdf:rest N68c4093960d847ebbf306bab19c7be6a
68 N68c4093960d847ebbf306bab19c7be6a rdf:first sg:person.01151226033.71
69 rdf:rest rdf:nil
70 N7e10dd6231a144f9a2355d34d359391a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Gene Transfer, Horizontal
72 rdf:type schema:DefinedTerm
73 N7fe99744165445ec81836fd278c3e91d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Archaea
75 rdf:type schema:DefinedTerm
76 N87e7ada9eba2469d9332916df7384c7c schema:name readcube_id
77 schema:value a2545d0fd155ec12e81d14f13e2b50e33cf6891865153bf909eed0f48685afb9
78 rdf:type schema:PropertyValue
79 N89bf0193ff6f43289d68a4d9d46b8a01 schema:name pubmed_id
80 schema:value 18637201
81 rdf:type schema:PropertyValue
82 N9632d5aad3964ab084499f7620d30ed4 schema:name nlm_unique_id
83 schema:value 100966975
84 rdf:type schema:PropertyValue
85 Na87c413066734058a99767cee2c1914b schema:volumeNumber 8
86 rdf:type schema:PublicationVolume
87 Nab5069d6e8d342648d2cb09cfc2805c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Genes, Bacterial
89 rdf:type schema:DefinedTerm
90 Nba88117a9d4742bab0f33fb444b14c96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Proteobacteria
92 rdf:type schema:DefinedTerm
93 Nc06e3fe2e5544f88804a871c7e0420f4 schema:name dimensions_id
94 schema:value pub.1034075969
95 rdf:type schema:PropertyValue
96 Nc4c82bd1974a4bb48af2648ce6112ceb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Conserved Sequence
98 rdf:type schema:DefinedTerm
99 Nc62924c5173d41a3a49b01de6278f03e schema:name doi
100 schema:value 10.1186/1471-2148-8-208
101 rdf:type schema:PropertyValue
102 Nd1ba6504e98b46068e2853d79019549d schema:issueNumber 1
103 rdf:type schema:PublicationIssue
104 Ndf12456759364657acc39b4bc161e8bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Gram-Positive Bacteria
106 rdf:type schema:DefinedTerm
107 Nebf5fd205c3b4958b8a18c707be5ae33 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Evolution, Molecular
109 rdf:type schema:DefinedTerm
110 Nf276686f1bec402fafc54f0bebd4b139 rdf:first sg:person.01325035263.95
111 rdf:rest N4aac6b92d6a344d19a76803db37c2ab6
112 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
113 schema:name Biological Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
116 schema:name Genetics
117 rdf:type schema:DefinedTerm
118 sg:grant.2720271 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2148-8-208
119 rdf:type schema:MonetaryGrant
120 sg:grant.2720309 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2148-8-208
121 rdf:type schema:MonetaryGrant
122 sg:grant.2726033 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2148-8-208
123 rdf:type schema:MonetaryGrant
124 sg:grant.2726063 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2148-8-208
125 rdf:type schema:MonetaryGrant
126 sg:journal.1024249 schema:issn 1471-2148
127 schema:name BMC Evolutionary Biology
128 rdf:type schema:Periodical
129 sg:person.01106662166.38 schema:affiliation https://www.grid.ac/institutes/grid.419234.9
130 schema:familyName Aravind
131 schema:givenName L
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106662166.38
133 rdf:type schema:Person
134 sg:person.01151226033.71 schema:affiliation https://www.grid.ac/institutes/grid.419234.9
135 schema:familyName Lipman
136 schema:givenName David J
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01151226033.71
138 rdf:type schema:Person
139 sg:person.01303253115.13 schema:affiliation https://www.grid.ac/institutes/grid.279885.9
140 schema:familyName Jothi
141 schema:givenName Raja
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01303253115.13
143 rdf:type schema:Person
144 sg:person.01325035263.95 schema:affiliation https://www.grid.ac/institutes/grid.419234.9
145 schema:familyName Przytycka
146 schema:givenName Teresa M
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325035263.95
148 rdf:type schema:Person
149 sg:pub.10.1038/246096a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039946912
150 https://doi.org/10.1038/246096a0
151 rdf:type schema:CreativeWork
152 sg:pub.10.1038/253603a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029629178
153 https://doi.org/10.1038/253603a0
154 rdf:type schema:CreativeWork
155 sg:pub.10.1038/nature03306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037641537
156 https://doi.org/10.1038/nature03306
157 rdf:type schema:CreativeWork
158 sg:pub.10.1186/gb-2001-2-12-research0053 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036924176
159 https://doi.org/10.1186/gb-2001-2-12-research0053
160 rdf:type schema:CreativeWork
161 sg:pub.10.1186/gb-2001-2-9-research0033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051143317
162 https://doi.org/10.1186/gb-2001-2-9-research0033
163 rdf:type schema:CreativeWork
164 sg:pub.10.1186/gb-2007-8-11-r232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030097946
165 https://doi.org/10.1186/gb-2007-8-11-r232
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.gene.2004.03.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009808644
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/s0168-9525(00)02142-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051976650
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/s0168-9525(01)02522-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046493138
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/s0168-9525(02)02722-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041402717
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1073/pnas.0505425102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017049019
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1073/pnas.94.13.6815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016438658
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1073/pnas.96.7.3801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028400086
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1093/bioinformatics/12.4.357 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000618136
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1093/bioinformatics/17.8.700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052748842
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1093/bioinformatics/18.3.502 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007526298
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1093/bioinformatics/btn057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033873095
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1093/nar/22.22.4673 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042438223
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1093/nar/gkh340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025846396
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1101/gr.200901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035661688
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1126/science.278.5338.631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039646901
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1146/annurev.micro.55.1.709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020062045
198 rdf:type schema:CreativeWork
199 https://www.grid.ac/institutes/grid.279885.9 schema:alternateName National Heart Lung and Blood Institute
200 schema:name National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda20894, MD, USA
201 National Heart, Lung, and Blood Institute, National Institutes of Health, 20894, Bethesda, MD, USA
202 rdf:type schema:Organization
203 https://www.grid.ac/institutes/grid.419234.9 schema:alternateName National Center for Biotechnology Information
204 schema:name National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda20894, MD, USA
205 rdf:type schema:Organization
 




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


...