Heterogeneous population of mitochondrial DNA molecules in higher plants View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1977-07

AUTHORS

FRANCIS QUETIER, FEAND VEDEL

ABSTRACT

THE physicochemical properties of mitochondrial (mt)-DNA of higher plants have been reported1–4. mt-DNAs occur as closed circles with molecular weights of (60–70) × 106 and it is likely that each mitochondria contains several of these circles. mt-DNAs isolated from different higher plants exhibit similar physicochemical parameters: all mt-DNAs so far analysed1–5 in higher plants band at a unique buoyant density of 1.706 g cm−3 in neutral CsCl gradients and the few published melting points and reassociation kinetics are not significantly different2–4. Not enough values have been reported to state on possible differences in the contour length measured by electron microscopy. Thus, mt-DNAs isolated from different higher plants cannot be specifically identified by conventional physicochemical techniques. We have recently reported that the analysis of restriction nuclease digests by gel electrophoresis provides a very sensitive test to identify specifically chloroplastic (cp)-DNAs isolated from different plant genera and species6. We show here that this technique also allows the characterisation and the specific identification of mt-DNAs isolated from various higher plants. We used EcoRI specific cleavage to evidence the general occurrence of heterogeneous population of mt-DNA molecules within an higher plant and to detect clear differences between mt-DNAs extracted from normal and cytoplasmic male-sterile wheat. More... »

PAGES

365

Journal

TITLE

Nature

ISSUE

5618

VOLUME

268

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/268365a0

DOI

http://dx.doi.org/10.1038/268365a0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030631345


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/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "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": [
      {
        "familyName": "QUETIER", 
        "givenName": "FRANCIS", 
        "id": "sg:person.060662220.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.060662220.40"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "VEDEL", 
        "givenName": "FEAND", 
        "id": "sg:person.010527470417.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010527470417.95"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0304-4211(76)90120-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000259097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-4211(76)90120-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000259097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-4211(74)90096-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002252940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(74)90059-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003439607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(74)90059-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003439607"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1104/pp.46.1.178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003635797"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.61.1.245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004863940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/238466a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011941755", 
          "https://doi.org/10.1038/238466a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(75)90301-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012271260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(75)90301-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012271260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.bi.38.070169.002343", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021178245"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(75)90273-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032325544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0005-2787(75)90273-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032325544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0076-6879(71)21033-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034580764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/263440a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035201014", 
          "https://doi.org/10.1038/263440a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/222272a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039896671", 
          "https://doi.org/10.1038/222272a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(75)90383-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040536236"
        ], 
        "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/10.1073/pnas.72.11.4496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050158472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1120777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051046533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bj1120777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051046533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jxb/24.2.425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059853816"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.193.4248.158", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062513826"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1977-07", 
    "datePublishedReg": "1977-07-01", 
    "description": "THE physicochemical properties of mitochondrial (mt)-DNA of higher plants have been reported1\u20134. mt-DNAs occur as closed circles with molecular weights of (60\u201370) \u00d7 106 and it is likely that each mitochondria contains several of these circles. mt-DNAs isolated from different higher plants exhibit similar physicochemical parameters: all mt-DNAs so far analysed1\u20135 in higher plants band at a unique buoyant density of 1.706 g cm\u22123 in neutral CsCl gradients and the few published melting points and reassociation kinetics are not significantly different2\u20134. Not enough values have been reported to state on possible differences in the contour length measured by electron microscopy. Thus, mt-DNAs isolated from different higher plants cannot be specifically identified by conventional physicochemical techniques. We have recently reported that the analysis of restriction nuclease digests by gel electrophoresis provides a very sensitive test to identify specifically chloroplastic (cp)-DNAs isolated from different plant genera and species6. We show here that this technique also allows the characterisation and the specific identification of mt-DNAs isolated from various higher plants. We used EcoRI specific cleavage to evidence the general occurrence of heterogeneous population of mt-DNA molecules within an higher plant and to detect clear differences between mt-DNAs extracted from normal and cytoplasmic male-sterile wheat.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/268365a0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5618", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "268"
      }
    ], 
    "name": "Heterogeneous population of mitochondrial DNA molecules in higher plants", 
    "pagination": "365", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "91ec8f5780a9cc29504d181a3683c1b0cd9e53f4582ef6cafdec06db8fb4027d"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/268365a0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030631345"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/268365a0", 
      "https://app.dimensions.ai/details/publication/pub.1030631345"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:38", 
    "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_8664_00000425.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/268365a0"
  }
]
 

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.10.1038/268365a0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/268365a0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/268365a0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/268365a0'


 

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

120 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/268365a0 schema:about anzsrc-for:06
2 anzsrc-for:0607
3 schema:author Neb0616307f3842c695f421ce79076c1e
4 schema:citation sg:pub.10.1038/222272a0
5 sg:pub.10.1038/238466a0
6 sg:pub.10.1038/263440a0
7 https://doi.org/10.1016/0005-2787(74)90059-8
8 https://doi.org/10.1016/0005-2787(75)90273-7
9 https://doi.org/10.1016/0005-2787(75)90301-9
10 https://doi.org/10.1016/0022-2836(75)90383-6
11 https://doi.org/10.1016/0304-4211(74)90096-0
12 https://doi.org/10.1016/0304-4211(76)90120-6
13 https://doi.org/10.1016/s0076-6879(71)21033-8
14 https://doi.org/10.1042/bj1120777
15 https://doi.org/10.1073/pnas.61.1.245
16 https://doi.org/10.1073/pnas.69.7.1830
17 https://doi.org/10.1073/pnas.72.11.4496
18 https://doi.org/10.1093/jxb/24.2.425
19 https://doi.org/10.1104/pp.46.1.178
20 https://doi.org/10.1126/science.193.4248.158
21 https://doi.org/10.1146/annurev.bi.38.070169.002343
22 schema:datePublished 1977-07
23 schema:datePublishedReg 1977-07-01
24 schema:description THE physicochemical properties of mitochondrial (mt)-DNA of higher plants have been reported1–4. mt-DNAs occur as closed circles with molecular weights of (60–70) × 106 and it is likely that each mitochondria contains several of these circles. mt-DNAs isolated from different higher plants exhibit similar physicochemical parameters: all mt-DNAs so far analysed1–5 in higher plants band at a unique buoyant density of 1.706 g cm−3 in neutral CsCl gradients and the few published melting points and reassociation kinetics are not significantly different2–4. Not enough values have been reported to state on possible differences in the contour length measured by electron microscopy. Thus, mt-DNAs isolated from different higher plants cannot be specifically identified by conventional physicochemical techniques. We have recently reported that the analysis of restriction nuclease digests by gel electrophoresis provides a very sensitive test to identify specifically chloroplastic (cp)-DNAs isolated from different plant genera and species6. We show here that this technique also allows the characterisation and the specific identification of mt-DNAs isolated from various higher plants. We used EcoRI specific cleavage to evidence the general occurrence of heterogeneous population of mt-DNA molecules within an higher plant and to detect clear differences between mt-DNAs extracted from normal and cytoplasmic male-sterile wheat.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N698509c1e3684dd9b769ed53f8977863
29 N6aaccf6958dd4e888a8f8ac3afea9e14
30 sg:journal.1018957
31 schema:name Heterogeneous population of mitochondrial DNA molecules in higher plants
32 schema:pagination 365
33 schema:productId N2a24266b964d4ce3945035c1bb3f153f
34 Ne9452e7d504a4f56b8d6df99b6f6aa59
35 Nf7eb96ebdd8441f896b63813e0f319f0
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030631345
37 https://doi.org/10.1038/268365a0
38 schema:sdDatePublished 2019-04-10T15:38
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N95b7996d5f914ae4bc56434eedc83ab1
41 schema:url https://www.nature.com/articles/268365a0
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N2a24266b964d4ce3945035c1bb3f153f schema:name readcube_id
46 schema:value 91ec8f5780a9cc29504d181a3683c1b0cd9e53f4582ef6cafdec06db8fb4027d
47 rdf:type schema:PropertyValue
48 N2bdfa61a616c4ba5a0a8eaa943310c88 rdf:first sg:person.010527470417.95
49 rdf:rest rdf:nil
50 N698509c1e3684dd9b769ed53f8977863 schema:issueNumber 5618
51 rdf:type schema:PublicationIssue
52 N6aaccf6958dd4e888a8f8ac3afea9e14 schema:volumeNumber 268
53 rdf:type schema:PublicationVolume
54 N95b7996d5f914ae4bc56434eedc83ab1 schema:name Springer Nature - SN SciGraph project
55 rdf:type schema:Organization
56 Ne9452e7d504a4f56b8d6df99b6f6aa59 schema:name doi
57 schema:value 10.1038/268365a0
58 rdf:type schema:PropertyValue
59 Neb0616307f3842c695f421ce79076c1e rdf:first sg:person.060662220.40
60 rdf:rest N2bdfa61a616c4ba5a0a8eaa943310c88
61 Nf7eb96ebdd8441f896b63813e0f319f0 schema:name dimensions_id
62 schema:value pub.1030631345
63 rdf:type schema:PropertyValue
64 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
65 schema:name Biological Sciences
66 rdf:type schema:DefinedTerm
67 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
68 schema:name Plant Biology
69 rdf:type schema:DefinedTerm
70 sg:journal.1018957 schema:issn 0090-0028
71 1476-4687
72 schema:name Nature
73 rdf:type schema:Periodical
74 sg:person.010527470417.95 schema:familyName VEDEL
75 schema:givenName FEAND
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010527470417.95
77 rdf:type schema:Person
78 sg:person.060662220.40 schema:familyName QUETIER
79 schema:givenName FRANCIS
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.060662220.40
81 rdf:type schema:Person
82 sg:pub.10.1038/222272a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039896671
83 https://doi.org/10.1038/222272a0
84 rdf:type schema:CreativeWork
85 sg:pub.10.1038/238466a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011941755
86 https://doi.org/10.1038/238466a0
87 rdf:type schema:CreativeWork
88 sg:pub.10.1038/263440a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035201014
89 https://doi.org/10.1038/263440a0
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1016/0005-2787(74)90059-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003439607
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/0005-2787(75)90273-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032325544
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/0005-2787(75)90301-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012271260
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/0022-2836(75)90383-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040536236
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/0304-4211(74)90096-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002252940
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/0304-4211(76)90120-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000259097
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/s0076-6879(71)21033-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034580764
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1042/bj1120777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051046533
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1073/pnas.61.1.245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004863940
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1073/pnas.69.7.1830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044540071
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1073/pnas.72.11.4496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050158472
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1093/jxb/24.2.425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059853816
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1104/pp.46.1.178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003635797
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1126/science.193.4248.158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062513826
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1146/annurev.bi.38.070169.002343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021178245
120 rdf:type schema:CreativeWork
 




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


...