Huge mitochondrial genomes in embryophyta plants View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-11

AUTHORS

Yu. V. Mikhaylova, L. Yu. Terent’eva

ABSTRACT

There are several embryophyta species with huge mitochondrial genomes, whose sizes exceed a million base pairs. We overview some common features of huge mitochondrial genomes: multiple chromosomes, increase in noncoding DNA, and loss of transfer RNA genes. These genomes arose in different evolutionary lines of Angiosperm plants via different processes: horizontal gene transfer from phylogenetically distant species to the ancient plant Amborella, DNA exchange between nucleus and mitochondrion in cucumber and melon (Cucumis, Cucurbitaceae), and recombination disturbance in Silene species (Caryophyllaceae). More... »

PAGES

497-505

Journal

TITLE

Biology Bulletin Reviews

ISSUE

6

VOLUME

7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s2079086417060044

DOI

http://dx.doi.org/10.1134/s2079086417060044

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099696136


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": "Botanical Institute VL Komarova", 
          "id": "https://www.grid.ac/institutes/grid.465298.4", 
          "name": [
            "Komarov Botanical Institute, Russian Academy of Sciences, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mikhaylova", 
        "givenName": "Yu. V.", 
        "id": "sg:person.014531105223.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014531105223.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Botanical Institute VL Komarova", 
          "id": "https://www.grid.ac/institutes/grid.465298.4", 
          "name": [
            "Komarov Botanical Institute, Russian Academy of Sciences, St. Petersburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Terent\u2019eva", 
        "givenName": "L. Yu.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/gbe/evs006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002385897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00289538", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003886180", 
          "https://doi.org/10.1007/bf00289538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1741-7007-8-147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004276066", 
          "https://doi.org/10.1186/1741-7007-8-147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1756-1051.2000.tb00760.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007693755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0006297916020048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012160936", 
          "https://doi.org/10.1134/s0006297916020048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0169-5347(01)02151-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013198375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-8137.2010.03195.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014226774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-8137.2010.03195.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014226774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep17588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014794659", 
          "https://doi.org/10.1038/srep17588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2148-9-260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018472861", 
          "https://doi.org/10.1186/1471-2148-9-260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.111.087189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020826964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2148-10-274", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021387270", 
          "https://doi.org/10.1186/1471-2148-10-274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biochi.2013.09.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023514307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1504491112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025230116"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-12-497", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025252006", 
          "https://doi.org/10.1186/1471-2164-12-497"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.162203299", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026083061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msm266", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027283821"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pbio.1001241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030500922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s2079059716020052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030683456", 
          "https://doi.org/10.1134/s2079059716020052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-8137.2012.04340.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031350718"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-12-424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031621532", 
          "https://doi.org/10.1186/1471-2164-12-424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0006297915110152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031889005", 
          "https://doi.org/10.1134/s0006297915110152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1421397112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033206685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mito.2007.10.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035121468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/nph.12395", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038903176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msq112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040377865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkv1189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042394201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.13.2571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042650111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1518644113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043368208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.97.13.6960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043962417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.69.7.1830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044540071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.107.073312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047548089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1534/genetics.107.073312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047548089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ympev.2013.12.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049501892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0408336102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049508326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btg412", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051607942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.013169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052840127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msw024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059923224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1246275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062469105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/1223499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069403324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3647306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070394233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3647306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070394233"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3647306", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070394233"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-11", 
    "datePublishedReg": "2017-11-01", 
    "description": "There are several embryophyta species with huge mitochondrial genomes, whose sizes exceed a million base pairs. We overview some common features of huge mitochondrial genomes: multiple chromosomes, increase in noncoding DNA, and loss of transfer RNA genes. These genomes arose in different evolutionary lines of Angiosperm plants via different processes: horizontal gene transfer from phylogenetically distant species to the ancient plant Amborella, DNA exchange between nucleus and mitochondrion in cucumber and melon (Cucumis, Cucurbitaceae), and recombination disturbance in Silene species (Caryophyllaceae).", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s2079086417060044", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135914", 
        "issn": [
          "2079-0864", 
          "2079-0872"
        ], 
        "name": "Biology Bulletin Reviews", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Huge mitochondrial genomes in embryophyta plants", 
    "pagination": "497-505", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5c35b546fff5ce90b9b2ed23cded8015898baaed59433a25901e5a3d7216c39b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s2079086417060044"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099696136"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s2079086417060044", 
      "https://app.dimensions.ai/details/publication/pub.1099696136"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:02", 
    "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_8678_00000484.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S2079086417060044"
  }
]
 

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/s2079086417060044'

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/s2079086417060044'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s2079086417060044'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s2079086417060044'


 

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

194 TRIPLES      21 PREDICATES      66 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s2079086417060044 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nc51cbf2d15a740748b8e9438239e9d70
4 schema:citation sg:pub.10.1007/bf00289538
5 sg:pub.10.1038/srep17588
6 sg:pub.10.1134/s0006297915110152
7 sg:pub.10.1134/s0006297916020048
8 sg:pub.10.1134/s2079059716020052
9 sg:pub.10.1186/1471-2148-10-274
10 sg:pub.10.1186/1471-2148-9-260
11 sg:pub.10.1186/1471-2164-12-424
12 sg:pub.10.1186/1471-2164-12-497
13 sg:pub.10.1186/1741-7007-8-147
14 https://doi.org/10.1016/j.biochi.2013.09.016
15 https://doi.org/10.1016/j.mito.2007.10.006
16 https://doi.org/10.1016/j.ympev.2013.12.004
17 https://doi.org/10.1016/s0169-5347(01)02151-6
18 https://doi.org/10.1073/pnas.0408336102
19 https://doi.org/10.1073/pnas.1421397112
20 https://doi.org/10.1073/pnas.1504491112
21 https://doi.org/10.1073/pnas.1518644113
22 https://doi.org/10.1073/pnas.162203299
23 https://doi.org/10.1073/pnas.69.7.1830
24 https://doi.org/10.1073/pnas.97.13.6960
25 https://doi.org/10.1093/bioinformatics/btg412
26 https://doi.org/10.1093/gbe/evs006
27 https://doi.org/10.1093/molbev/msm266
28 https://doi.org/10.1093/molbev/msq112
29 https://doi.org/10.1093/molbev/msw024
30 https://doi.org/10.1093/nar/28.13.2571
31 https://doi.org/10.1093/nar/gkv1189
32 https://doi.org/10.1105/tpc.013169
33 https://doi.org/10.1105/tpc.111.087189
34 https://doi.org/10.1111/j.1469-8137.2010.03195.x
35 https://doi.org/10.1111/j.1469-8137.2012.04340.x
36 https://doi.org/10.1111/j.1756-1051.2000.tb00760.x
37 https://doi.org/10.1111/nph.12395
38 https://doi.org/10.1126/science.1246275
39 https://doi.org/10.1371/journal.pbio.1001241
40 https://doi.org/10.1534/genetics.107.073312
41 https://doi.org/10.2307/1223499
42 https://doi.org/10.2307/3647306
43 schema:datePublished 2017-11
44 schema:datePublishedReg 2017-11-01
45 schema:description There are several embryophyta species with huge mitochondrial genomes, whose sizes exceed a million base pairs. We overview some common features of huge mitochondrial genomes: multiple chromosomes, increase in noncoding DNA, and loss of transfer RNA genes. These genomes arose in different evolutionary lines of Angiosperm plants via different processes: horizontal gene transfer from phylogenetically distant species to the ancient plant Amborella, DNA exchange between nucleus and mitochondrion in cucumber and melon (Cucumis, Cucurbitaceae), and recombination disturbance in Silene species (Caryophyllaceae).
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N06ea026c69994f1e97c2c8e9aef2453f
50 N105004276e414b0e888a6876f39ef8f2
51 sg:journal.1135914
52 schema:name Huge mitochondrial genomes in embryophyta plants
53 schema:pagination 497-505
54 schema:productId N3da0093735d547f9b9cedf617e990d57
55 N522c30f636024d6db9dc36416eb90bec
56 N6226db85b54940a29d1abea610edae41
57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099696136
58 https://doi.org/10.1134/s2079086417060044
59 schema:sdDatePublished 2019-04-10T19:02
60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
61 schema:sdPublisher N214c2e71f56c40f18ebdb0a59faf129a
62 schema:url http://link.springer.com/10.1134/S2079086417060044
63 sgo:license sg:explorer/license/
64 sgo:sdDataset articles
65 rdf:type schema:ScholarlyArticle
66 N06ea026c69994f1e97c2c8e9aef2453f schema:issueNumber 6
67 rdf:type schema:PublicationIssue
68 N105004276e414b0e888a6876f39ef8f2 schema:volumeNumber 7
69 rdf:type schema:PublicationVolume
70 N214c2e71f56c40f18ebdb0a59faf129a schema:name Springer Nature - SN SciGraph project
71 rdf:type schema:Organization
72 N3da0093735d547f9b9cedf617e990d57 schema:name doi
73 schema:value 10.1134/s2079086417060044
74 rdf:type schema:PropertyValue
75 N522c30f636024d6db9dc36416eb90bec schema:name dimensions_id
76 schema:value pub.1099696136
77 rdf:type schema:PropertyValue
78 N555fec1b35e54171a0cc5655a5a35a5a schema:affiliation https://www.grid.ac/institutes/grid.465298.4
79 schema:familyName Terent’eva
80 schema:givenName L. Yu.
81 rdf:type schema:Person
82 N6226db85b54940a29d1abea610edae41 schema:name readcube_id
83 schema:value 5c35b546fff5ce90b9b2ed23cded8015898baaed59433a25901e5a3d7216c39b
84 rdf:type schema:PropertyValue
85 Nc51cbf2d15a740748b8e9438239e9d70 rdf:first sg:person.014531105223.70
86 rdf:rest Nf20bd2da68e24f48a1449dc45f92533c
87 Nf20bd2da68e24f48a1449dc45f92533c rdf:first N555fec1b35e54171a0cc5655a5a35a5a
88 rdf:rest rdf:nil
89 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
90 schema:name Biological Sciences
91 rdf:type schema:DefinedTerm
92 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
93 schema:name Genetics
94 rdf:type schema:DefinedTerm
95 sg:journal.1135914 schema:issn 2079-0864
96 2079-0872
97 schema:name Biology Bulletin Reviews
98 rdf:type schema:Periodical
99 sg:person.014531105223.70 schema:affiliation https://www.grid.ac/institutes/grid.465298.4
100 schema:familyName Mikhaylova
101 schema:givenName Yu. V.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014531105223.70
103 rdf:type schema:Person
104 sg:pub.10.1007/bf00289538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003886180
105 https://doi.org/10.1007/bf00289538
106 rdf:type schema:CreativeWork
107 sg:pub.10.1038/srep17588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014794659
108 https://doi.org/10.1038/srep17588
109 rdf:type schema:CreativeWork
110 sg:pub.10.1134/s0006297915110152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031889005
111 https://doi.org/10.1134/s0006297915110152
112 rdf:type schema:CreativeWork
113 sg:pub.10.1134/s0006297916020048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012160936
114 https://doi.org/10.1134/s0006297916020048
115 rdf:type schema:CreativeWork
116 sg:pub.10.1134/s2079059716020052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030683456
117 https://doi.org/10.1134/s2079059716020052
118 rdf:type schema:CreativeWork
119 sg:pub.10.1186/1471-2148-10-274 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021387270
120 https://doi.org/10.1186/1471-2148-10-274
121 rdf:type schema:CreativeWork
122 sg:pub.10.1186/1471-2148-9-260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018472861
123 https://doi.org/10.1186/1471-2148-9-260
124 rdf:type schema:CreativeWork
125 sg:pub.10.1186/1471-2164-12-424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031621532
126 https://doi.org/10.1186/1471-2164-12-424
127 rdf:type schema:CreativeWork
128 sg:pub.10.1186/1471-2164-12-497 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025252006
129 https://doi.org/10.1186/1471-2164-12-497
130 rdf:type schema:CreativeWork
131 sg:pub.10.1186/1741-7007-8-147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004276066
132 https://doi.org/10.1186/1741-7007-8-147
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.biochi.2013.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023514307
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.mito.2007.10.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035121468
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/j.ympev.2013.12.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049501892
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/s0169-5347(01)02151-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013198375
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1073/pnas.0408336102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049508326
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1073/pnas.1421397112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033206685
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1073/pnas.1504491112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025230116
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1073/pnas.1518644113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043368208
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1073/pnas.162203299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026083061
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1073/pnas.69.7.1830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044540071
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1073/pnas.97.13.6960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043962417
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1093/bioinformatics/btg412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051607942
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1093/gbe/evs006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002385897
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1093/molbev/msm266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027283821
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1093/molbev/msq112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040377865
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1093/molbev/msw024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059923224
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1093/nar/28.13.2571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042650111
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1093/nar/gkv1189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042394201
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1105/tpc.013169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052840127
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1105/tpc.111.087189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020826964
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1111/j.1469-8137.2010.03195.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014226774
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/j.1469-8137.2012.04340.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1031350718
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1111/j.1756-1051.2000.tb00760.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1007693755
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/nph.12395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038903176
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1126/science.1246275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062469105
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1371/journal.pbio.1001241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030500922
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1534/genetics.107.073312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047548089
187 rdf:type schema:CreativeWork
188 https://doi.org/10.2307/1223499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069403324
189 rdf:type schema:CreativeWork
190 https://doi.org/10.2307/3647306 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070394233
191 rdf:type schema:CreativeWork
192 https://www.grid.ac/institutes/grid.465298.4 schema:alternateName Botanical Institute VL Komarova
193 schema:name Komarov Botanical Institute, Russian Academy of Sciences, St. Petersburg, Russia
194 rdf:type schema:Organization
 




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


...