High level of molecular and phenotypic biodiversity in Jatropha curcasfrom Central America compared to Africa, Asia and South America View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Luis Rodolfo Montes Osorio, Andres Fransisco Torres Salvador, Raymond Elmar Etienne Jongschaap, Cesar Augusto Azurdia Perez, Julio Ernesto Berduo Sandoval, Luisa Miguel Trindade, Richard Gerardus Franciscus Visser, Eibertus Nicolaas van Loo

ABSTRACT

BACKGROUND: The main bottleneck to elevate jatropha (Jatropha curcas L.) from a wild species to a profitable biodiesel crop is the low genetic and phenotypic variation found in different regions of the world, hampering efficient plant breeding for productivity traits. In this study, 182 accessions from Asia (91), Africa (35), South America (9) and Central America (47) were evaluated at genetic and phenotypic level to find genetic variation and important traits for oilseed production. RESULTS: Genetic variation was assessed with SSR (Simple Sequence Repeat), TRAP (Target Region Amplification Polymorphism) and AFLP (Amplified fragment length polymorphism) techniques. Phenotypic variation included seed morphological characteristics, seed oil content and fatty acid composition and early growth traits. Jaccard's similarity and cluster analysis by UPGM (Unweighted Paired Group Method) with arithmetic mean and PCA (Principle Component Analysis) indicated higher variability in Central American accessions compared to Asian, African and South American accessions. Polymorphism Information Content (PIC) values ranged from 0 to 0.65. In the set of Central American accessions. PIC values were higher than in other regions. Accessions from the Central American population contain alleles that were not found in the accessions from other populations. Analysis of Molecular Variance (AMOVA; P < 0.0001) indicated high genetic variation within regions (81.7%) and low variation across regions (18.3%). A high level of genetic variation was found on early growth traits and on components of the relative growth rate (specific leaf area, leaf weight, leaf weight ratio and net assimilation rate) as indicated by significant differences between accessions and by the high heritability values (50-88%). The fatty acid composition of jatropha oil significantly differed (P < 0.05) between regions. CONCLUSIONS: The pool of Central American accessions showed very large genetic variation as assessed by DNA-marker variation compared to accessions from other regions. Central American accessions also showed the highest phenotypic variation and should be considered as the most important source for plant breeding. Some variation in early growth traits was found within a group of accessions from Asia and Africa, while these accessions did not differ in a single DNA-marker, possibly indicating epigenetic variation. More... »

PAGES

77

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2229-14-77

DOI

http://dx.doi.org/10.1186/1471-2229-14-77

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043088146

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24666927


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": "Africa", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Amplified Fragment Length Polymorphism Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Asia", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biodiversity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "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": "Plant Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "South America", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of San Carlos of Guatemala", 
          "id": "https://www.grid.ac/institutes/grid.11793.3d", 
          "name": [
            "Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands", 
            "Facultad de Agronom\u00eda, FAUSAC, Universidad de San Carlos de Guatemala, Guatemala City, Guatemala", 
            "Biocombustibles de Guatemala S.A., Guatemala City, Guatemala"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Montes Osorio", 
        "givenName": "Luis Rodolfo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Torres Salvador", 
        "givenName": "Andres Fransisco", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Agrosystems Research, Plant Research International, Wageningen University and Research Centre, 616, 6708, AP Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jongschaap", 
        "givenName": "Raymond Elmar Etienne", 
        "id": "sg:person.014401142467.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014401142467.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of San Carlos of Guatemala", 
          "id": "https://www.grid.ac/institutes/grid.11793.3d", 
          "name": [
            "Facultad de Agronom\u00eda, FAUSAC, Universidad de San Carlos de Guatemala, Guatemala City, Guatemala"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Azurdia Perez", 
        "givenName": "Cesar Augusto", 
        "id": "sg:person.0771430105.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771430105.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of San Carlos of Guatemala", 
          "id": "https://www.grid.ac/institutes/grid.11793.3d", 
          "name": [
            "Facultad de Agronom\u00eda, FAUSAC, Universidad de San Carlos de Guatemala, Guatemala City, Guatemala"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berduo Sandoval", 
        "givenName": "Julio Ernesto", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trindade", 
        "givenName": "Luisa Miguel", 
        "id": "sg:person.01302522602.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302522602.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Visser", 
        "givenName": "Richard Gerardus Franciscus", 
        "id": "sg:person.07374343732.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07374343732.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wageningen University & Research", 
          "id": "https://www.grid.ac/institutes/grid.4818.5", 
          "name": [
            "Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Loo", 
        "givenName": "Eibertus Nicolaas", 
        "id": "sg:person.01352071245.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352071245.36"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.biombioe.2007.01.021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002859229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5897/ajb10.1990", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004692149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2435.2002.00672.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008593299"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11104-004-3846-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010474998", 
          "https://doi.org/10.1007/s11104-004-3846-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11104-004-3846-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010474998", 
          "https://doi.org/10.1007/s11104-004-3846-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02670897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013733736", 
          "https://doi.org/10.1007/bf02670897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02670897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013733736", 
          "https://doi.org/10.1007/bf02670897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00033090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014849733", 
          "https://doi.org/10.1007/bf00033090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00033090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014849733", 
          "https://doi.org/10.1007/bf00033090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fuel.2009.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015116123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biombioe.2011.01.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017786792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/21563306.2011.10462201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019276459"
        ], 
        "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.10.1007/s00468-008-0229-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023608640", 
          "https://doi.org/10.1007/s00468-008-0229-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00468-008-0229-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023608640", 
          "https://doi.org/10.1007/s00468-008-0229-4"
        ], 
        "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/10.5897/ajb10.838", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030096990"
        ], 
        "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": "sg:pub.10.1007/s00122-005-2064-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039903652", 
          "https://doi.org/10.1007/s00122-005-2064-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00122-005-2064-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039903652", 
          "https://doi.org/10.1007/s00122-005-2064-y"
        ], 
        "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/10.3390/d3040641", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041992651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00468-010-0413-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042218957", 
          "https://doi.org/10.1007/s00468-010-0413-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00468-010-0413-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042218957", 
          "https://doi.org/10.1007/s00468-010-0413-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/23.21.4407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042685674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compchemeng.2008.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042866032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2229-10-259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047694868", 
          "https://doi.org/10.1186/1471-2229-10-259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10722-006-9175-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047756966", 
          "https://doi.org/10.1007/s10722-006-9175-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5650/jos.60.301", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050256736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biombioe.2009.06.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051096486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2435.2006.01135.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051770657"
        ], 
        "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/10.2135/cropsci2010.02.0112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069031161"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074647594", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081518966", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/sg-2005-0012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092394624"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: The main bottleneck to elevate jatropha (Jatropha curcas L.) from a wild species to a profitable biodiesel crop is the low genetic and phenotypic variation found in different regions of the world, hampering efficient plant breeding for productivity traits. In this study, 182 accessions from Asia (91), Africa (35), South America (9) and Central America (47) were evaluated at genetic and phenotypic level to find genetic variation and important traits for oilseed production.\nRESULTS: Genetic variation was assessed with SSR (Simple Sequence Repeat), TRAP (Target Region Amplification Polymorphism) and AFLP (Amplified fragment length polymorphism) techniques. Phenotypic variation included seed morphological characteristics, seed oil content and fatty acid composition and early growth traits. Jaccard's similarity and cluster analysis by UPGM (Unweighted Paired Group Method) with arithmetic mean and PCA (Principle Component Analysis) indicated higher variability in Central American accessions compared to Asian, African and South American accessions. Polymorphism Information Content (PIC) values ranged from 0 to 0.65. In the set of Central American accessions. PIC values were higher than in other regions. Accessions from the Central American population contain alleles that were not found in the accessions from other populations. Analysis of Molecular Variance (AMOVA; P\u2009<\u20090.0001) indicated high genetic variation within regions (81.7%) and low variation across regions (18.3%). A high level of genetic variation was found on early growth traits and on components of the relative growth rate (specific leaf area, leaf weight, leaf weight ratio and net assimilation rate) as indicated by significant differences between accessions and by the high heritability values (50-88%). The fatty acid composition of jatropha oil significantly differed (P\u2009<\u20090.05) between regions.\nCONCLUSIONS: The pool of Central American accessions showed very large genetic variation as assessed by DNA-marker variation compared to accessions from other regions. Central American accessions also showed the highest phenotypic variation and should be considered as the most important source for plant breeding. Some variation in early growth traits was found within a group of accessions from Asia and Africa, while these accessions did not differ in a single DNA-marker, possibly indicating epigenetic variation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2229-14-77", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3790517", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024638", 
        "issn": [
          "1471-2229"
        ], 
        "name": "BMC Plant Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "14"
      }
    ], 
    "name": "High level of molecular and phenotypic biodiversity in Jatropha curcasfrom Central America compared to Africa, Asia and South America", 
    "pagination": "77", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cd3e698766f3a77e610989d23f569e0c1e4abbc1aba7dc20a8abb2ae5198975d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24666927"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100967807"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2229-14-77"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043088146"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2229-14-77", 
      "https://app.dimensions.ai/details/publication/pub.1043088146"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:14", 
    "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_8659_00000507.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2229-14-77"
  }
]
 

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.10.1186/1471-2229-14-77'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2229-14-77'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2229-14-77'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2229-14-77'


 

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

259 TRIPLES      21 PREDICATES      69 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2229-14-77 schema:about N033737602f9b4a539feb5fa44e1d6656
2 N16cd4dc888a54ff7aa70daa8dbb65b34
3 N1fe5adcaa7ea4c7d9b17ad7a34705717
4 N52d28cf72a2e4139bc7819d66ca498c6
5 N56862c7b1a3e4406bb1f0512967c1932
6 N6e231d21f5464e779851c3a2e96374df
7 N73d10fba322645aa8950b461c4dfbaf6
8 Na2628c369a85416f85dc9e875afc4632
9 Nb24cd75cb4644bb4bf9c2154fa629690
10 Nee116b61974d477883ea6a936fffe5cc
11 anzsrc-for:06
12 anzsrc-for:0604
13 schema:author N80efb3e6470d4eb5a8d34e3ac56e7c6f
14 schema:citation sg:pub.10.1007/bf00033090
15 sg:pub.10.1007/bf02670897
16 sg:pub.10.1007/s00122-005-2064-y
17 sg:pub.10.1007/s00468-008-0229-4
18 sg:pub.10.1007/s00468-010-0413-1
19 sg:pub.10.1007/s10722-006-9175-4
20 sg:pub.10.1007/s11033-008-9320-6
21 sg:pub.10.1007/s11104-004-3846-8
22 sg:pub.10.1186/1471-2229-10-259
23 https://app.dimensions.ai/details/publication/pub.1074647594
24 https://app.dimensions.ai/details/publication/pub.1081518966
25 https://doi.org/10.1016/j.biombioe.2007.01.021
26 https://doi.org/10.1016/j.biombioe.2008.03.003
27 https://doi.org/10.1016/j.biombioe.2009.06.001
28 https://doi.org/10.1016/j.biombioe.2011.01.027
29 https://doi.org/10.1016/j.compchemeng.2008.09.012
30 https://doi.org/10.1016/j.fuel.2009.02.015
31 https://doi.org/10.1016/j.plantsci.2009.01.006
32 https://doi.org/10.1016/j.plantsci.2009.03.008
33 https://doi.org/10.1046/j.1365-2435.2002.00672.x
34 https://doi.org/10.1080/21563306.2011.10462201
35 https://doi.org/10.1093/nar/23.21.4407
36 https://doi.org/10.1111/j.1365-2435.2006.01135.x
37 https://doi.org/10.1515/sg-2005-0012
38 https://doi.org/10.2135/cropsci2008.02.0074
39 https://doi.org/10.2135/cropsci2010.02.0112
40 https://doi.org/10.3390/d3040641
41 https://doi.org/10.5650/jos.60.301
42 https://doi.org/10.5897/ajb10.1990
43 https://doi.org/10.5897/ajb10.838
44 schema:datePublished 2014-12
45 schema:datePublishedReg 2014-12-01
46 schema:description BACKGROUND: The main bottleneck to elevate jatropha (Jatropha curcas L.) from a wild species to a profitable biodiesel crop is the low genetic and phenotypic variation found in different regions of the world, hampering efficient plant breeding for productivity traits. In this study, 182 accessions from Asia (91), Africa (35), South America (9) and Central America (47) were evaluated at genetic and phenotypic level to find genetic variation and important traits for oilseed production. RESULTS: Genetic variation was assessed with SSR (Simple Sequence Repeat), TRAP (Target Region Amplification Polymorphism) and AFLP (Amplified fragment length polymorphism) techniques. Phenotypic variation included seed morphological characteristics, seed oil content and fatty acid composition and early growth traits. Jaccard's similarity and cluster analysis by UPGM (Unweighted Paired Group Method) with arithmetic mean and PCA (Principle Component Analysis) indicated higher variability in Central American accessions compared to Asian, African and South American accessions. Polymorphism Information Content (PIC) values ranged from 0 to 0.65. In the set of Central American accessions. PIC values were higher than in other regions. Accessions from the Central American population contain alleles that were not found in the accessions from other populations. Analysis of Molecular Variance (AMOVA; P < 0.0001) indicated high genetic variation within regions (81.7%) and low variation across regions (18.3%). A high level of genetic variation was found on early growth traits and on components of the relative growth rate (specific leaf area, leaf weight, leaf weight ratio and net assimilation rate) as indicated by significant differences between accessions and by the high heritability values (50-88%). The fatty acid composition of jatropha oil significantly differed (P < 0.05) between regions. CONCLUSIONS: The pool of Central American accessions showed very large genetic variation as assessed by DNA-marker variation compared to accessions from other regions. Central American accessions also showed the highest phenotypic variation and should be considered as the most important source for plant breeding. Some variation in early growth traits was found within a group of accessions from Asia and Africa, while these accessions did not differ in a single DNA-marker, possibly indicating epigenetic variation.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf N8633b38c40d441fdb9141b8327f545d2
51 Nc5009ffc46564dabbf034ee98eba4856
52 sg:journal.1024638
53 schema:name High level of molecular and phenotypic biodiversity in Jatropha curcasfrom Central America compared to Africa, Asia and South America
54 schema:pagination 77
55 schema:productId N48f3b8c415b2418b872c388a58cb9d1e
56 N659e9867e7394c898f299b5cf44b347f
57 N75d3852d47b24ea9b8b1ca93f2d856b4
58 Nbfb7f25c179745f48262f807d21893a3
59 Nf189f809fea3434d80b9501e49ca08ab
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043088146
61 https://doi.org/10.1186/1471-2229-14-77
62 schema:sdDatePublished 2019-04-10T13:14
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N399a9ccd26374a258ebb5af0c6baf9eb
65 schema:url http://link.springer.com/10.1186%2F1471-2229-14-77
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N033737602f9b4a539feb5fa44e1d6656 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Plant Proteins
71 rdf:type schema:DefinedTerm
72 N121e4f2cc4ab4766b1572bc7d66dd5e5 rdf:first sg:person.0771430105.60
73 rdf:rest N3c5b61b64d3d412796f37b71318f6d98
74 N16cd4dc888a54ff7aa70daa8dbb65b34 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Amplified Fragment Length Polymorphism Analysis
76 rdf:type schema:DefinedTerm
77 N1fe5adcaa7ea4c7d9b17ad7a34705717 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Asia
79 rdf:type schema:DefinedTerm
80 N212f61cd021949ffb96b65afa12e2bd3 rdf:first sg:person.01302522602.14
81 rdf:rest N63ef12baccfa4836a36ef72880b986fd
82 N399a9ccd26374a258ebb5af0c6baf9eb schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N3c5b61b64d3d412796f37b71318f6d98 rdf:first Ncc7cc89584b74a7598ec70f98b05a9c2
85 rdf:rest N212f61cd021949ffb96b65afa12e2bd3
86 N3f2560c4bd2348fb92ef34abe4b02c0a rdf:first sg:person.01352071245.36
87 rdf:rest rdf:nil
88 N48f3b8c415b2418b872c388a58cb9d1e schema:name readcube_id
89 schema:value cd3e698766f3a77e610989d23f569e0c1e4abbc1aba7dc20a8abb2ae5198975d
90 rdf:type schema:PropertyValue
91 N52d28cf72a2e4139bc7819d66ca498c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Africa
93 rdf:type schema:DefinedTerm
94 N56862c7b1a3e4406bb1f0512967c1932 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Phylogeny
96 rdf:type schema:DefinedTerm
97 N63ef12baccfa4836a36ef72880b986fd rdf:first sg:person.07374343732.28
98 rdf:rest N3f2560c4bd2348fb92ef34abe4b02c0a
99 N659e9867e7394c898f299b5cf44b347f schema:name nlm_unique_id
100 schema:value 100967807
101 rdf:type schema:PropertyValue
102 N6e231d21f5464e779851c3a2e96374df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Biodiversity
104 rdf:type schema:DefinedTerm
105 N73d10fba322645aa8950b461c4dfbaf6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Cluster Analysis
107 rdf:type schema:DefinedTerm
108 N75d3852d47b24ea9b8b1ca93f2d856b4 schema:name pubmed_id
109 schema:value 24666927
110 rdf:type schema:PropertyValue
111 N80efb3e6470d4eb5a8d34e3ac56e7c6f rdf:first Ndc8551dfb29c4fca876c38285b5f36a0
112 rdf:rest N9f2a297e650c4b87a16f2c41a49b942a
113 N8633b38c40d441fdb9141b8327f545d2 schema:volumeNumber 14
114 rdf:type schema:PublicationVolume
115 N9b2e74b0e85946bfbdffffefc77bf3e2 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
116 schema:familyName Torres Salvador
117 schema:givenName Andres Fransisco
118 rdf:type schema:Person
119 N9f2a297e650c4b87a16f2c41a49b942a rdf:first N9b2e74b0e85946bfbdffffefc77bf3e2
120 rdf:rest Ncddc09baae994aeca6983055d97dfb6a
121 Na2628c369a85416f85dc9e875afc4632 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Microsatellite Repeats
123 rdf:type schema:DefinedTerm
124 Nb24cd75cb4644bb4bf9c2154fa629690 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name South America
126 rdf:type schema:DefinedTerm
127 Nbfb7f25c179745f48262f807d21893a3 schema:name dimensions_id
128 schema:value pub.1043088146
129 rdf:type schema:PropertyValue
130 Nc5009ffc46564dabbf034ee98eba4856 schema:issueNumber 1
131 rdf:type schema:PublicationIssue
132 Ncc7cc89584b74a7598ec70f98b05a9c2 schema:affiliation https://www.grid.ac/institutes/grid.11793.3d
133 schema:familyName Berduo Sandoval
134 schema:givenName Julio Ernesto
135 rdf:type schema:Person
136 Ncddc09baae994aeca6983055d97dfb6a rdf:first sg:person.014401142467.16
137 rdf:rest N121e4f2cc4ab4766b1572bc7d66dd5e5
138 Ndc8551dfb29c4fca876c38285b5f36a0 schema:affiliation https://www.grid.ac/institutes/grid.11793.3d
139 schema:familyName Montes Osorio
140 schema:givenName Luis Rodolfo
141 rdf:type schema:Person
142 Nee116b61974d477883ea6a936fffe5cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Jatropha
144 rdf:type schema:DefinedTerm
145 Nf189f809fea3434d80b9501e49ca08ab schema:name doi
146 schema:value 10.1186/1471-2229-14-77
147 rdf:type schema:PropertyValue
148 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
149 schema:name Biological Sciences
150 rdf:type schema:DefinedTerm
151 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
152 schema:name Genetics
153 rdf:type schema:DefinedTerm
154 sg:grant.3790517 http://pending.schema.org/fundedItem sg:pub.10.1186/1471-2229-14-77
155 rdf:type schema:MonetaryGrant
156 sg:journal.1024638 schema:issn 1471-2229
157 schema:name BMC Plant Biology
158 rdf:type schema:Periodical
159 sg:person.01302522602.14 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
160 schema:familyName Trindade
161 schema:givenName Luisa Miguel
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302522602.14
163 rdf:type schema:Person
164 sg:person.01352071245.36 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
165 schema:familyName van Loo
166 schema:givenName Eibertus Nicolaas
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352071245.36
168 rdf:type schema:Person
169 sg:person.014401142467.16 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
170 schema:familyName Jongschaap
171 schema:givenName Raymond Elmar Etienne
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014401142467.16
173 rdf:type schema:Person
174 sg:person.07374343732.28 schema:affiliation https://www.grid.ac/institutes/grid.4818.5
175 schema:familyName Visser
176 schema:givenName Richard Gerardus Franciscus
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07374343732.28
178 rdf:type schema:Person
179 sg:person.0771430105.60 schema:affiliation https://www.grid.ac/institutes/grid.11793.3d
180 schema:familyName Azurdia Perez
181 schema:givenName Cesar Augusto
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771430105.60
183 rdf:type schema:Person
184 sg:pub.10.1007/bf00033090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014849733
185 https://doi.org/10.1007/bf00033090
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/bf02670897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013733736
188 https://doi.org/10.1007/bf02670897
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s00122-005-2064-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1039903652
191 https://doi.org/10.1007/s00122-005-2064-y
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s00468-008-0229-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023608640
194 https://doi.org/10.1007/s00468-008-0229-4
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s00468-010-0413-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042218957
197 https://doi.org/10.1007/s00468-010-0413-1
198 rdf:type schema:CreativeWork
199 sg:pub.10.1007/s10722-006-9175-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047756966
200 https://doi.org/10.1007/s10722-006-9175-4
201 rdf:type schema:CreativeWork
202 sg:pub.10.1007/s11033-008-9320-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020530790
203 https://doi.org/10.1007/s11033-008-9320-6
204 rdf:type schema:CreativeWork
205 sg:pub.10.1007/s11104-004-3846-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010474998
206 https://doi.org/10.1007/s11104-004-3846-8
207 rdf:type schema:CreativeWork
208 sg:pub.10.1186/1471-2229-10-259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047694868
209 https://doi.org/10.1186/1471-2229-10-259
210 rdf:type schema:CreativeWork
211 https://app.dimensions.ai/details/publication/pub.1074647594 schema:CreativeWork
212 https://app.dimensions.ai/details/publication/pub.1081518966 schema:CreativeWork
213 https://doi.org/10.1016/j.biombioe.2007.01.021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002859229
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.biombioe.2008.03.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033863691
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.biombioe.2009.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051096486
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/j.biombioe.2011.01.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017786792
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/j.compchemeng.2008.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042866032
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.fuel.2009.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015116123
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.plantsci.2009.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028367220
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.plantsci.2009.03.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041122427
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1046/j.1365-2435.2002.00672.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008593299
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1080/21563306.2011.10462201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019276459
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1093/nar/23.21.4407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042685674
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1111/j.1365-2435.2006.01135.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051770657
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1515/sg-2005-0012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092394624
238 rdf:type schema:CreativeWork
239 https://doi.org/10.2135/cropsci2008.02.0074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069030569
240 rdf:type schema:CreativeWork
241 https://doi.org/10.2135/cropsci2010.02.0112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069031161
242 rdf:type schema:CreativeWork
243 https://doi.org/10.3390/d3040641 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041992651
244 rdf:type schema:CreativeWork
245 https://doi.org/10.5650/jos.60.301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050256736
246 rdf:type schema:CreativeWork
247 https://doi.org/10.5897/ajb10.1990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004692149
248 rdf:type schema:CreativeWork
249 https://doi.org/10.5897/ajb10.838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030096990
250 rdf:type schema:CreativeWork
251 https://www.grid.ac/institutes/grid.11793.3d schema:alternateName University of San Carlos of Guatemala
252 schema:name Biocombustibles de Guatemala S.A., Guatemala City, Guatemala
253 Facultad de Agronomía, FAUSAC, Universidad de San Carlos de Guatemala, Guatemala City, Guatemala
254 Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands
255 rdf:type schema:Organization
256 https://www.grid.ac/institutes/grid.4818.5 schema:alternateName Wageningen University & Research
257 schema:name Agrosystems Research, Plant Research International, Wageningen University and Research Centre, 616, 6708, AP Wageningen, The Netherlands
258 Plant Breeding, Wageningen University and Research Centre, 386, 6700, AJ Wageningen, The Netherlands
259 rdf:type schema:Organization
 




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


...