High efficiency and reliability of inter-simple sequence repeats (ISSR) markers for evaluation of genetic diversity in Brazilian cultivated Jatropha curcas ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-10

AUTHORS

Clícia Grativol, Catarina da Fonseca Lira-Medeiros, Adriana Silva Hemerly, Paulo Cavalcanti Gomes Ferreira

ABSTRACT

Jatropha curcas L. is found in all tropical regions and has garnered lot of attention for its potential as a source of biodiesel. As J. curcas is a plant that is still in the process of being domesticated, interest in improving its agronomic traits has increased in an attempt to select more productive varieties, aiming at sustainable utilization of this plant for biodiesel production. Therefore, the study of genetic diversity in different accessions of J. curcas in Brazil constitutes a necessary first step in genetic programs designed to improve this species. In this study we have used ISSR markers to assess the genetic variability of 332 accessions from eight states in Brazil that produce J. curcas seeds for commercialization. Seven ISSR primers amplified a total of 21,253 bands, of which 19,472 bands (91%) showed polymorphism. Among the polymorphic bands 275 rare bands were identified (present in fewer than 15% of the accessions). Polymorphic information content (PIC), marker index (MI) and resolving power (RP) averaged 0.26, 17.86 and 19.87 per primer, respectively, showing the high efficiency and reliability of the markers used. ISSR markers analyses as number of polymorphic loci, genetic diversity and accession relationships through UPGMA-phenogram and MDS showed that Brazilian accessions are closely related but have a higher level of genetic diversity than accessions from other countries, and the accessions from Natal (RN) are the most diverse, having high value as a source of genetic diversity for breeding programs of J. curcas in the world. More... »

PAGES

4245-4256

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11033-010-0547-7

DOI

http://dx.doi.org/10.1007/s11033-010-0547-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028094104

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/21113672


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": "Agriculture", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brazil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA, Plant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrophoresis, Agar Gel", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Loci", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Markers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Geography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Jatropha", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phylogeny", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymorphism, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sample Size", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Federal University of Rio de Janeiro", 
          "id": "https://www.grid.ac/institutes/grid.8536.8", 
          "name": [
            "Laborat\u00f3rio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro Avenida Brigadeiro Trompowski, CCS Bl.H, 21941-590, Rio de Janeiro, RJ, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grativol", 
        "givenName": "Cl\u00edcia", 
        "id": "sg:person.01122024177.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122024177.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Instituto de Pesquisas Jardim Bot\u00e2nico do Rio de Janeiro", 
          "id": "https://www.grid.ac/institutes/grid.452542.0", 
          "name": [
            "Diretoria de Pesquisa Cient\u00edfica, Instituto de Pesquisas Jardim Bot\u00e2nico do Rio de Janeiro, Rua Pacheco Le\u00e3o 915, 22460-030, Rio de Janeiro, RJ, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "da Fonseca Lira-Medeiros", 
        "givenName": "Catarina", 
        "id": "sg:person.0711622302.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711622302.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal University of Rio de Janeiro", 
          "id": "https://www.grid.ac/institutes/grid.8536.8", 
          "name": [
            "Laborat\u00f3rio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro Avenida Brigadeiro Trompowski, CCS Bl.H, 21941-590, Rio de Janeiro, RJ, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hemerly", 
        "givenName": "Adriana Silva", 
        "id": "sg:person.01217205370.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217205370.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal University of Rio de Janeiro", 
          "id": "https://www.grid.ac/institutes/grid.8536.8", 
          "name": [
            "Laborat\u00f3rio de Biologia Molecular de Plantas, Instituto de Bioqu\u00edmica M\u00e9dica, Universidade Federal do Rio de Janeiro Avenida Brigadeiro Trompowski, CCS Bl.H, 21941-590, Rio de Janeiro, RJ, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferreira", 
        "givenName": "Paulo Cavalcanti Gomes", 
        "id": "sg:person.014211600012.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014211600012.86"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.indcrop.2008.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001493103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.plantsci.2007.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003872857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/449652a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007561363", 
          "https://doi.org/10.1038/449652a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-001-0848-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008671512", 
          "https://doi.org/10.1007/s00122-001-0848-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-001-0848-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008671512", 
          "https://doi.org/10.1007/s00122-001-0848-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lite.200800023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014958844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.scienta.2008.11.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015375242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11033-008-9404-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015650164", 
          "https://doi.org/10.1007/s11033-008-9404-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11033-008-9404-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015650164", 
          "https://doi.org/10.1007/s11033-008-9404-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11033-008-9320-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020530790", 
          "https://doi.org/10.1007/s11033-008-9320-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1009680614564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020979465", 
          "https://doi.org/10.1023/a:1009680614564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11105-009-0106-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022567338", 
          "https://doi.org/10.1007/s11105-009-0106-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11105-009-0106-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022567338", 
          "https://doi.org/10.1007/s11105-009-0106-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10722-007-9285-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022688468", 
          "https://doi.org/10.1007/s10722-007-9285-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.plantsci.2009.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028367220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biombioe.2008.03.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033863691"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-294x.2007.03435.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035937642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0308-8146(97)00183-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039783163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biombioe.2007.11.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040526778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.plantsci.2009.03.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041122427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/geno.1994.1151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043783405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220051046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044581378", 
          "https://doi.org/10.1007/s001220051046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001220051046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044581378", 
          "https://doi.org/10.1007/s001220051046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10681-007-9387-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052901090", 
          "https://doi.org/10.1007/s10681-007-9387-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2003.1235", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069028046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2135/cropsci2008.02.0074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069030569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2225/vol11-issue3-fulltext-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069345263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077181267", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077879113", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-10", 
    "datePublishedReg": "2011-10-01", 
    "description": "Jatropha curcas L. is found in all tropical regions and has garnered lot of attention for its potential as a source of biodiesel. As J. curcas is a plant that is still in the process of being domesticated, interest in improving its agronomic traits has increased in an attempt to select more productive varieties, aiming at sustainable utilization of this plant for biodiesel production. Therefore, the study of genetic diversity in different accessions of J. curcas in Brazil constitutes a necessary first step in genetic programs designed to improve this species. In this study we have used ISSR markers to assess the genetic variability of 332 accessions from eight states in Brazil that produce J. curcas seeds for commercialization. Seven ISSR primers amplified a total of 21,253 bands, of which 19,472 bands (91%) showed polymorphism. Among the polymorphic bands 275 rare bands were identified (present in fewer than 15% of the accessions). Polymorphic information content (PIC), marker index (MI) and resolving power (RP) averaged 0.26, 17.86 and 19.87 per primer, respectively, showing the high efficiency and reliability of the markers used. ISSR markers analyses as number of polymorphic loci, genetic diversity and accession relationships through UPGMA-phenogram and MDS showed that Brazilian accessions are closely related but have a higher level of genetic diversity than accessions from other countries, and the accessions from Natal (RN) are the most diverse, having high value as a source of genetic diversity for breeding programs of J. curcas in the world.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11033-010-0547-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018503", 
        "issn": [
          "0301-4851", 
          "1573-4978"
        ], 
        "name": "Molecular Biology Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "High efficiency and reliability of inter-simple sequence repeats (ISSR) markers for evaluation of genetic diversity in Brazilian cultivated Jatropha curcas L. accessions", 
    "pagination": "4245-4256", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "85d500444cae79c6bec097869ae2257b5e8758ea45b31444b512881336102466"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "21113672"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0403234"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11033-010-0547-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028094104"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11033-010-0547-7", 
      "https://app.dimensions.ai/details/publication/pub.1028094104"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:32", 
    "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_8690_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11033-010-0547-7"
  }
]
 

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/s11033-010-0547-7'

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/s11033-010-0547-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11033-010-0547-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11033-010-0547-7'


 

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

235 TRIPLES      21 PREDICATES      69 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11033-010-0547-7 schema:about N11453f909cb64bcabb0e04313d55d2ca
2 N15427d5fb25042508a9816ab93bfefc3
3 N15ceecb68b3a465abf336a7afb1a647b
4 N17ac76b5d73b4a50a8b56096abf4253f
5 N3fe6de4d3e89458ea2f2484f24190fc5
6 N409cc28725264727846d591c713a04c6
7 N4343a5837c084faeb93ccfcd1a0d5abb
8 N4844edc0908b43fcb076da9a19df5119
9 N5303665a6ebc4964951bd46f031073c7
10 N53ee38f4d5cd4af59fcf0d0a4e235d52
11 N71b171f4c91d48269840c5e9c8a06513
12 N8383115f98d84f32bdf1b8d9c826ff93
13 N996930f29382421d8e4ebb1fde790d34
14 Nc403a3f9a4c14759845c10a2f1f42339
15 Nc6fcb18624e6464d97fcec02c5e0ae91
16 anzsrc-for:06
17 anzsrc-for:0604
18 schema:author N39ce78c135b749bc80fa49a0d797aa96
19 schema:citation sg:pub.10.1007/s00122-001-0848-2
20 sg:pub.10.1007/s001220051046
21 sg:pub.10.1007/s10681-007-9387-5
22 sg:pub.10.1007/s10722-007-9285-7
23 sg:pub.10.1007/s11033-008-9320-6
24 sg:pub.10.1007/s11033-008-9404-3
25 sg:pub.10.1007/s11105-009-0106-3
26 sg:pub.10.1023/a:1009680614564
27 sg:pub.10.1038/449652a
28 https://app.dimensions.ai/details/publication/pub.1077181267
29 https://app.dimensions.ai/details/publication/pub.1077879113
30 https://doi.org/10.1002/lite.200800023
31 https://doi.org/10.1006/geno.1994.1151
32 https://doi.org/10.1016/j.biombioe.2007.11.006
33 https://doi.org/10.1016/j.biombioe.2008.03.003
34 https://doi.org/10.1016/j.indcrop.2008.01.001
35 https://doi.org/10.1016/j.plantsci.2007.08.010
36 https://doi.org/10.1016/j.plantsci.2009.01.006
37 https://doi.org/10.1016/j.plantsci.2009.03.008
38 https://doi.org/10.1016/j.scienta.2008.11.022
39 https://doi.org/10.1016/s0308-8146(97)00183-0
40 https://doi.org/10.1111/j.1365-294x.2007.03435.x
41 https://doi.org/10.2135/cropsci2003.1235
42 https://doi.org/10.2135/cropsci2008.02.0074
43 https://doi.org/10.2225/vol11-issue3-fulltext-8
44 schema:datePublished 2011-10
45 schema:datePublishedReg 2011-10-01
46 schema:description Jatropha curcas L. is found in all tropical regions and has garnered lot of attention for its potential as a source of biodiesel. As J. curcas is a plant that is still in the process of being domesticated, interest in improving its agronomic traits has increased in an attempt to select more productive varieties, aiming at sustainable utilization of this plant for biodiesel production. Therefore, the study of genetic diversity in different accessions of J. curcas in Brazil constitutes a necessary first step in genetic programs designed to improve this species. In this study we have used ISSR markers to assess the genetic variability of 332 accessions from eight states in Brazil that produce J. curcas seeds for commercialization. Seven ISSR primers amplified a total of 21,253 bands, of which 19,472 bands (91%) showed polymorphism. Among the polymorphic bands 275 rare bands were identified (present in fewer than 15% of the accessions). Polymorphic information content (PIC), marker index (MI) and resolving power (RP) averaged 0.26, 17.86 and 19.87 per primer, respectively, showing the high efficiency and reliability of the markers used. ISSR markers analyses as number of polymorphic loci, genetic diversity and accession relationships through UPGMA-phenogram and MDS showed that Brazilian accessions are closely related but have a higher level of genetic diversity than accessions from other countries, and the accessions from Natal (RN) are the most diverse, having high value as a source of genetic diversity for breeding programs of J. curcas in the world.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree false
50 schema:isPartOf N3f1452d2775a4cbeb4b7b4566db3bf5d
51 N82b97ec7c7e7439fa4534585031b0301
52 sg:journal.1018503
53 schema:name High efficiency and reliability of inter-simple sequence repeats (ISSR) markers for evaluation of genetic diversity in Brazilian cultivated Jatropha curcas L. accessions
54 schema:pagination 4245-4256
55 schema:productId N2be7f5cfb1704bcc8c136db439676380
56 N2c3b9fc570f1471db9dea182e076daa8
57 Na923d07b384b4891a2b310dfdcfaf574
58 Nb5d56b6bc056417097993486ed51671e
59 Ncf38848c30db482b9913069b69123214
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028094104
61 https://doi.org/10.1007/s11033-010-0547-7
62 schema:sdDatePublished 2019-04-10T22:32
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N331f480cedf54bd9b6afa0f5a86719ba
65 schema:url http://link.springer.com/10.1007%2Fs11033-010-0547-7
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N11453f909cb64bcabb0e04313d55d2ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Phylogeny
71 rdf:type schema:DefinedTerm
72 N15427d5fb25042508a9816ab93bfefc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Geography
74 rdf:type schema:DefinedTerm
75 N15ceecb68b3a465abf336a7afb1a647b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Reproducibility of Results
77 rdf:type schema:DefinedTerm
78 N177914c58bb54b00844e477c10e4ed10 rdf:first sg:person.01217205370.56
79 rdf:rest Na4d4fe98b75c407480a8958f559a06d1
80 N17ac76b5d73b4a50a8b56096abf4253f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Cluster Analysis
82 rdf:type schema:DefinedTerm
83 N2be7f5cfb1704bcc8c136db439676380 schema:name pubmed_id
84 schema:value 21113672
85 rdf:type schema:PropertyValue
86 N2c3b9fc570f1471db9dea182e076daa8 schema:name doi
87 schema:value 10.1007/s11033-010-0547-7
88 rdf:type schema:PropertyValue
89 N331f480cedf54bd9b6afa0f5a86719ba schema:name Springer Nature - SN SciGraph project
90 rdf:type schema:Organization
91 N3681f1c51a9948ddb87d4b3f260f4c38 rdf:first sg:person.0711622302.17
92 rdf:rest N177914c58bb54b00844e477c10e4ed10
93 N39ce78c135b749bc80fa49a0d797aa96 rdf:first sg:person.01122024177.53
94 rdf:rest N3681f1c51a9948ddb87d4b3f260f4c38
95 N3f1452d2775a4cbeb4b7b4566db3bf5d schema:issueNumber 7
96 rdf:type schema:PublicationIssue
97 N3fe6de4d3e89458ea2f2484f24190fc5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Electrophoresis, Agar Gel
99 rdf:type schema:DefinedTerm
100 N409cc28725264727846d591c713a04c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Genetic Variation
102 rdf:type schema:DefinedTerm
103 N4343a5837c084faeb93ccfcd1a0d5abb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name DNA, Plant
105 rdf:type schema:DefinedTerm
106 N4844edc0908b43fcb076da9a19df5119 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Agriculture
108 rdf:type schema:DefinedTerm
109 N5303665a6ebc4964951bd46f031073c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Jatropha
111 rdf:type schema:DefinedTerm
112 N53ee38f4d5cd4af59fcf0d0a4e235d52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Sample Size
114 rdf:type schema:DefinedTerm
115 N71b171f4c91d48269840c5e9c8a06513 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Brazil
117 rdf:type schema:DefinedTerm
118 N82b97ec7c7e7439fa4534585031b0301 schema:volumeNumber 38
119 rdf:type schema:PublicationVolume
120 N8383115f98d84f32bdf1b8d9c826ff93 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Genetic Loci
122 rdf:type schema:DefinedTerm
123 N996930f29382421d8e4ebb1fde790d34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Polymorphism, Genetic
125 rdf:type schema:DefinedTerm
126 Na4d4fe98b75c407480a8958f559a06d1 rdf:first sg:person.014211600012.86
127 rdf:rest rdf:nil
128 Na923d07b384b4891a2b310dfdcfaf574 schema:name readcube_id
129 schema:value 85d500444cae79c6bec097869ae2257b5e8758ea45b31444b512881336102466
130 rdf:type schema:PropertyValue
131 Nb5d56b6bc056417097993486ed51671e schema:name nlm_unique_id
132 schema:value 0403234
133 rdf:type schema:PropertyValue
134 Nc403a3f9a4c14759845c10a2f1f42339 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Genetic Markers
136 rdf:type schema:DefinedTerm
137 Nc6fcb18624e6464d97fcec02c5e0ae91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Microsatellite Repeats
139 rdf:type schema:DefinedTerm
140 Ncf38848c30db482b9913069b69123214 schema:name dimensions_id
141 schema:value pub.1028094104
142 rdf:type schema:PropertyValue
143 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
144 schema:name Biological Sciences
145 rdf:type schema:DefinedTerm
146 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
147 schema:name Genetics
148 rdf:type schema:DefinedTerm
149 sg:journal.1018503 schema:issn 0301-4851
150 1573-4978
151 schema:name Molecular Biology Reports
152 rdf:type schema:Periodical
153 sg:person.01122024177.53 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
154 schema:familyName Grativol
155 schema:givenName Clícia
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122024177.53
157 rdf:type schema:Person
158 sg:person.01217205370.56 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
159 schema:familyName Hemerly
160 schema:givenName Adriana Silva
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217205370.56
162 rdf:type schema:Person
163 sg:person.014211600012.86 schema:affiliation https://www.grid.ac/institutes/grid.8536.8
164 schema:familyName Ferreira
165 schema:givenName Paulo Cavalcanti Gomes
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014211600012.86
167 rdf:type schema:Person
168 sg:person.0711622302.17 schema:affiliation https://www.grid.ac/institutes/grid.452542.0
169 schema:familyName da Fonseca Lira-Medeiros
170 schema:givenName Catarina
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711622302.17
172 rdf:type schema:Person
173 sg:pub.10.1007/s00122-001-0848-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008671512
174 https://doi.org/10.1007/s00122-001-0848-2
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s001220051046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044581378
177 https://doi.org/10.1007/s001220051046
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s10681-007-9387-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052901090
180 https://doi.org/10.1007/s10681-007-9387-5
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s10722-007-9285-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022688468
183 https://doi.org/10.1007/s10722-007-9285-7
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s11033-008-9320-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020530790
186 https://doi.org/10.1007/s11033-008-9320-6
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s11033-008-9404-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015650164
189 https://doi.org/10.1007/s11033-008-9404-3
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s11105-009-0106-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022567338
192 https://doi.org/10.1007/s11105-009-0106-3
193 rdf:type schema:CreativeWork
194 sg:pub.10.1023/a:1009680614564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020979465
195 https://doi.org/10.1023/a:1009680614564
196 rdf:type schema:CreativeWork
197 sg:pub.10.1038/449652a schema:sameAs https://app.dimensions.ai/details/publication/pub.1007561363
198 https://doi.org/10.1038/449652a
199 rdf:type schema:CreativeWork
200 https://app.dimensions.ai/details/publication/pub.1077181267 schema:CreativeWork
201 https://app.dimensions.ai/details/publication/pub.1077879113 schema:CreativeWork
202 https://doi.org/10.1002/lite.200800023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014958844
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1006/geno.1994.1151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043783405
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.biombioe.2007.11.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040526778
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.biombioe.2008.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033863691
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.indcrop.2008.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001493103
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.plantsci.2007.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003872857
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.plantsci.2009.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028367220
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.plantsci.2009.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041122427
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.scienta.2008.11.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015375242
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0308-8146(97)00183-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039783163
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1111/j.1365-294x.2007.03435.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035937642
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2135/cropsci2003.1235 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069028046
225 rdf:type schema:CreativeWork
226 https://doi.org/10.2135/cropsci2008.02.0074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069030569
227 rdf:type schema:CreativeWork
228 https://doi.org/10.2225/vol11-issue3-fulltext-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069345263
229 rdf:type schema:CreativeWork
230 https://www.grid.ac/institutes/grid.452542.0 schema:alternateName Instituto de Pesquisas Jardim Botânico do Rio de Janeiro
231 schema:name Diretoria de Pesquisa Científica, Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, Rua Pacheco Leão 915, 22460-030, Rio de Janeiro, RJ, Brazil
232 rdf:type schema:Organization
233 https://www.grid.ac/institutes/grid.8536.8 schema:alternateName Federal University of Rio de Janeiro
234 schema:name Laboratório de Biologia Molecular de Plantas, Instituto de Bioquímica Médica, Universidade Federal do Rio de Janeiro Avenida Brigadeiro Trompowski, CCS Bl.H, 21941-590, Rio de Janeiro, RJ, Brazil
235 rdf:type schema:Organization
 




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


...