A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-10-22

AUTHORS

M. N. Calingacion, C. Boualaphanh, V. D. Daygon, R. Anacleto, R. Sackville Hamilton, B. Biais, C. Deborde, M. Maucourt, A. Moing, R. Mumm, R. C. H. de Vos, A. Erban, J. Kopka, T. H. Hansen, K. H. Laursen, J. K. Schjoerring, R. D. Hall, M. A. Fitzgerald

ABSTRACT

Using a novel approach combining four complementary metabolomic and mineral platforms with genome-wide genotyping at 1536 single nucleotide polymorphism (SNP) loci, we have investigated the extent of biochemical and genetic diversity in three commercially-relevant waxy rice cultivars important to food production in the Lao People’s Democratic Republic (PDR). Following cultivation with different nitrogen fertiliser regimes, multiple metabolomic data sets, including minerals, were produced and analysed using multivariate statistical methods to reveal the degree of similarity between the genotypes and to identify discriminatory compounds supported by multiple technology platforms. Results revealed little effect of nitrogen supply on metabolites related to quality, despite known yield differences. All platforms revealed unique metabolic signatures for each variety and many discriminatory compounds could be identified as being relevant to consumers in terms of nutritional value and taste or flavour. For each platform, metabolomic diversity was highly associated with genetic distance between the varieties. This study demonstrates that multiple metabolomic platforms have potential as phenotyping tools to assist breeders in their quest to combine key yield and quality characteristics. This better enables rice improvement programs to meet different consumer and farmer needs, and to address food security in rice-consuming countries. More... »

PAGES

771-783

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11306-011-0374-4

DOI

http://dx.doi.org/10.1007/s11306-011-0374-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038062273


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Calingacion", 
        "givenName": "M. N.", 
        "id": "sg:person.01217513506.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217513506.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Rice and Cash Crop Research Institute, Vientiane, Lao PDR", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines", 
            "Khon Kaen University, Khon Kaen, Thailand", 
            "Rice and Cash Crop Research Institute, Vientiane, Lao PDR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boualaphanh", 
        "givenName": "C.", 
        "id": "sg:person.010306120271.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010306120271.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Daygon", 
        "givenName": "V. D.", 
        "id": "sg:person.0767051276.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767051276.65"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anacleto", 
        "givenName": "R.", 
        "id": "sg:person.01070161563.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070161563.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sackville Hamilton", 
        "givenName": "R.", 
        "id": "sg:person.01205272765.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205272765.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INRA\u2014UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "INRA\u2014UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Biais", 
        "givenName": "B.", 
        "id": "sg:person.01255540061.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255540061.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "INRA\u2014UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France", 
            "Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Deborde", 
        "givenName": "C.", 
        "id": "sg:person.01371766461.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371766461.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 de Bordeaux\u2014UMR1332 Fruit Biology and Pathology, 33140, Villenave d\u2019Ornon, France", 
          "id": "http://www.grid.ac/institutes/grid.412041.2", 
          "name": [
            "Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France", 
            "Universit\u00e9 de Bordeaux\u2014UMR1332 Fruit Biology and Pathology, 33140, Villenave d\u2019Ornon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maucourt", 
        "givenName": "M.", 
        "id": "sg:person.0712164713.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712164713.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "INRA\u2014UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France", 
            "Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d\u2019Ornon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moing", 
        "givenName": "A.", 
        "id": "sg:person.01077342621.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077342621.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.450019.9", 
          "name": [
            "Plant Research International, P.O. Box 98, 6700AB, Wageningen, The Netherlands", 
            "Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mumm", 
        "givenName": "R.", 
        "id": "sg:person.01366416351.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366416351.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.450019.9", 
          "name": [
            "Plant Research International, P.O. Box 98, 6700AB, Wageningen, The Netherlands", 
            "Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Vos", 
        "givenName": "R. C. H.", 
        "id": "sg:person.014575024362.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014575024362.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am M\u00fchlenberg 1, 14476, Potsdam-Golm, Germany", 
          "id": "http://www.grid.ac/institutes/grid.418390.7", 
          "name": [
            "Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am M\u00fchlenberg 1, 14476, Potsdam-Golm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Erban", 
        "givenName": "A.", 
        "id": "sg:person.01353252733.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353252733.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am M\u00fchlenberg 1, 14476, Potsdam-Golm, Germany", 
          "id": "http://www.grid.ac/institutes/grid.418390.7", 
          "name": [
            "Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am M\u00fchlenberg 1, 14476, Potsdam-Golm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kopka", 
        "givenName": "J.", 
        "id": "sg:person.0633132075.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633132075.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark", 
          "id": "http://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hansen", 
        "givenName": "T. H.", 
        "id": "sg:person.01035112146.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035112146.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark", 
          "id": "http://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laursen", 
        "givenName": "K. H.", 
        "id": "sg:person.01116476141.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116476141.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark", 
          "id": "http://www.grid.ac/institutes/grid.5254.6", 
          "name": [
            "Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schjoerring", 
        "givenName": "J. K.", 
        "id": "sg:person.0645045614.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645045614.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands", 
          "id": "http://www.grid.ac/institutes/grid.450019.9", 
          "name": [
            "Plant Research International, P.O. Box 98, 6700AB, Wageningen, The Netherlands", 
            "Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hall", 
        "givenName": "R. D.", 
        "id": "sg:person.0704576323.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704576323.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines", 
          "id": "http://www.grid.ac/institutes/grid.419387.0", 
          "name": [
            "Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fitzgerald", 
        "givenName": "M. A.", 
        "id": "sg:person.0652216101.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652216101.78"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00122-006-0281-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036477762", 
          "https://doi.org/10.1007/s00122-006-0281-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-387-48914-2_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007686250", 
          "https://doi.org/10.1007/0-387-48914-2_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-009-0169-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004994369", 
          "https://doi.org/10.1007/s11306-009-0169-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12284-010-9057-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011838622", 
          "https://doi.org/10.1007/s12284-010-9057-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1746-4811-5-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045540550", 
          "https://doi.org/10.1186/1746-4811-5-12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-009-9278-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043766891", 
          "https://doi.org/10.1007/s11032-009-9278-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11103-008-9381-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042123756", 
          "https://doi.org/10.1007/s11103-008-9381-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11032-006-9046-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004759804", 
          "https://doi.org/10.1007/s11032-006-9046-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-010-0198-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027746322", 
          "https://doi.org/10.1007/s11306-010-0198-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00394-007-0678-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046995203", 
          "https://doi.org/10.1007/s00394-007-0678-3"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-10-22", 
    "datePublishedReg": "2011-10-22", 
    "description": "Using a novel approach combining four complementary metabolomic and mineral platforms with genome-wide genotyping at 1536 single nucleotide polymorphism (SNP) loci, we have investigated the extent of biochemical and genetic diversity in three commercially-relevant waxy rice cultivars important to food production in the Lao People\u2019s Democratic Republic (PDR). Following cultivation with different nitrogen fertiliser regimes, multiple metabolomic data sets, including minerals, were produced and analysed using multivariate statistical methods to reveal the degree of similarity between the genotypes and to identify discriminatory compounds supported by multiple technology platforms. Results revealed little effect of nitrogen supply on metabolites related to quality, despite known yield differences. All platforms revealed unique metabolic signatures for each variety and many discriminatory compounds could be identified as being relevant to consumers in terms of nutritional value and taste or flavour. For each platform, metabolomic diversity was highly associated with genetic distance between the varieties. This study demonstrates that multiple metabolomic platforms have potential as phenotyping tools to assist breeders in their quest to combine key yield and quality characteristics. This better enables rice improvement programs to meet different consumer and farmer needs, and to address food security in rice-consuming countries.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11306-011-0374-4", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1036887", 
        "issn": [
          "1573-3882", 
          "1573-3890"
        ], 
        "name": "Metabolomics", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "keywords": [
      "rice-consuming countries", 
      "rice improvement programs", 
      "multi-platform metabolomics", 
      "multiple metabolomics platforms", 
      "single nucleotide polymorphism (SNP) loci", 
      "People's Democratic Republic", 
      "waxy rice cultivars", 
      "discriminatory compounds", 
      "fertiliser regimes", 
      "improved varieties", 
      "yield differences", 
      "farmers' needs", 
      "key yield", 
      "rice cultivars", 
      "nitrogen supply", 
      "food production", 
      "food security", 
      "new traits", 
      "rice quality", 
      "nutritional value", 
      "improvement programs", 
      "multiple technology platforms", 
      "metabolomic diversity", 
      "genetic diversity", 
      "Lao People's Democratic Republic", 
      "quality characteristics", 
      "metabolomics data sets", 
      "genetic distance", 
      "polymorphism loci", 
      "Democratic Republic", 
      "cultivars", 
      "breeders", 
      "diversity", 
      "cultivation", 
      "little effect", 
      "variety", 
      "yield", 
      "traits", 
      "genotypes", 
      "unique metabolic signature", 
      "multivariate statistical methods", 
      "genomics", 
      "production", 
      "consumers", 
      "metabolomics platform", 
      "quality", 
      "genotyping", 
      "supply", 
      "loci", 
      "flavor", 
      "security", 
      "genome", 
      "metabolomics", 
      "regime", 
      "taste", 
      "different consumers", 
      "countries", 
      "Republic", 
      "minerals", 
      "program", 
      "metabolites", 
      "differences", 
      "statistical methods", 
      "degree of similarity", 
      "effect", 
      "need", 
      "metabolic signatures", 
      "compounds", 
      "extent", 
      "data sets", 
      "values", 
      "tool", 
      "characteristics", 
      "study", 
      "distance", 
      "results", 
      "technology platform", 
      "similarity", 
      "novel approach", 
      "terms", 
      "degree", 
      "approach", 
      "platform", 
      "quest", 
      "set", 
      "method", 
      "signatures", 
      "mineral platforms", 
      "nucleotide polymorphism (SNP) loci", 
      "relevant waxy rice cultivars", 
      "different nitrogen fertiliser regimes", 
      "nitrogen fertiliser regimes", 
      "multiple metabolomic data sets"
    ], 
    "name": "A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties", 
    "pagination": "771-783", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038062273"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11306-011-0374-4"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11306-011-0374-4", 
      "https://app.dimensions.ai/details/publication/pub.1038062273"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:16", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_541.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11306-011-0374-4"
  }
]
 

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/s11306-011-0374-4'

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/s11306-011-0374-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11306-011-0374-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11306-011-0374-4'


 

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

333 TRIPLES      22 PREDICATES      128 URIs      110 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11306-011-0374-4 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N30198e82f99646e294b982a47a2f0673
4 schema:citation sg:pub.10.1007/0-387-48914-2_6
5 sg:pub.10.1007/s00122-006-0281-7
6 sg:pub.10.1007/s00394-007-0678-3
7 sg:pub.10.1007/s11032-006-9046-x
8 sg:pub.10.1007/s11032-009-9278-7
9 sg:pub.10.1007/s11103-008-9381-x
10 sg:pub.10.1007/s11306-009-0169-z
11 sg:pub.10.1007/s11306-010-0198-7
12 sg:pub.10.1007/s12284-010-9057-4
13 sg:pub.10.1186/1746-4811-5-12
14 schema:datePublished 2011-10-22
15 schema:datePublishedReg 2011-10-22
16 schema:description Using a novel approach combining four complementary metabolomic and mineral platforms with genome-wide genotyping at 1536 single nucleotide polymorphism (SNP) loci, we have investigated the extent of biochemical and genetic diversity in three commercially-relevant waxy rice cultivars important to food production in the Lao People’s Democratic Republic (PDR). Following cultivation with different nitrogen fertiliser regimes, multiple metabolomic data sets, including minerals, were produced and analysed using multivariate statistical methods to reveal the degree of similarity between the genotypes and to identify discriminatory compounds supported by multiple technology platforms. Results revealed little effect of nitrogen supply on metabolites related to quality, despite known yield differences. All platforms revealed unique metabolic signatures for each variety and many discriminatory compounds could be identified as being relevant to consumers in terms of nutritional value and taste or flavour. For each platform, metabolomic diversity was highly associated with genetic distance between the varieties. This study demonstrates that multiple metabolomic platforms have potential as phenotyping tools to assist breeders in their quest to combine key yield and quality characteristics. This better enables rice improvement programs to meet different consumer and farmer needs, and to address food security in rice-consuming countries.
17 schema:genre article
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf N6f6340904b3143ddb87105f07ce1777c
21 Naa49aeddc32a4e19add549c35dc3a480
22 sg:journal.1036887
23 schema:keywords Democratic Republic
24 Lao People's Democratic Republic
25 People's Democratic Republic
26 Republic
27 approach
28 breeders
29 characteristics
30 compounds
31 consumers
32 countries
33 cultivars
34 cultivation
35 data sets
36 degree
37 degree of similarity
38 differences
39 different consumers
40 different nitrogen fertiliser regimes
41 discriminatory compounds
42 distance
43 diversity
44 effect
45 extent
46 farmers' needs
47 fertiliser regimes
48 flavor
49 food production
50 food security
51 genetic distance
52 genetic diversity
53 genome
54 genomics
55 genotypes
56 genotyping
57 improved varieties
58 improvement programs
59 key yield
60 little effect
61 loci
62 metabolic signatures
63 metabolites
64 metabolomic diversity
65 metabolomics
66 metabolomics data sets
67 metabolomics platform
68 method
69 mineral platforms
70 minerals
71 multi-platform metabolomics
72 multiple metabolomic data sets
73 multiple metabolomics platforms
74 multiple technology platforms
75 multivariate statistical methods
76 need
77 new traits
78 nitrogen fertiliser regimes
79 nitrogen supply
80 novel approach
81 nucleotide polymorphism (SNP) loci
82 nutritional value
83 platform
84 polymorphism loci
85 production
86 program
87 quality
88 quality characteristics
89 quest
90 regime
91 relevant waxy rice cultivars
92 results
93 rice cultivars
94 rice improvement programs
95 rice quality
96 rice-consuming countries
97 security
98 set
99 signatures
100 similarity
101 single nucleotide polymorphism (SNP) loci
102 statistical methods
103 study
104 supply
105 taste
106 technology platform
107 terms
108 tool
109 traits
110 unique metabolic signature
111 values
112 variety
113 waxy rice cultivars
114 yield
115 yield differences
116 schema:name A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties
117 schema:pagination 771-783
118 schema:productId Naffb122d52274a668af6fedd1f189f23
119 Nba5db5188da846229c8923c90e327885
120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038062273
121 https://doi.org/10.1007/s11306-011-0374-4
122 schema:sdDatePublished 2021-11-01T18:16
123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
124 schema:sdPublisher Ncc70b2cd734c45869fabcf21f8b9fc96
125 schema:url https://doi.org/10.1007/s11306-011-0374-4
126 sgo:license sg:explorer/license/
127 sgo:sdDataset articles
128 rdf:type schema:ScholarlyArticle
129 N03f29b6461934ca28882cdceb9c58614 rdf:first sg:person.01070161563.52
130 rdf:rest N4bd04930953747b1917a7a3ed25ca631
131 N0470de20be6541eaaf20e3b99f836c3a rdf:first sg:person.0652216101.78
132 rdf:rest rdf:nil
133 N22bb5b73399a4d32a0806b6e82e3ad47 rdf:first sg:person.01371766461.32
134 rdf:rest N438e33b79ef448448d96af3bb8d3fe5d
135 N30198e82f99646e294b982a47a2f0673 rdf:first sg:person.01217513506.98
136 rdf:rest Nec287306a520461d82918711953a93ff
137 N37ed6ef54407409c97da96806acb14c8 rdf:first sg:person.014575024362.22
138 rdf:rest Nb5d861f55a3c4e84b6000de9a2433ef2
139 N438e33b79ef448448d96af3bb8d3fe5d rdf:first sg:person.0712164713.05
140 rdf:rest Nc674181f6aae4e20834802f129031cf5
141 N4bd04930953747b1917a7a3ed25ca631 rdf:first sg:person.01205272765.51
142 rdf:rest Nd7acc9dfc0fc4b5694d0dd3b7585d731
143 N5c59da32b7954ed78c52a22007b24211 rdf:first sg:person.0633132075.84
144 rdf:rest N85980b55c80444a1a3f6c00bf16e9dc1
145 N6f6340904b3143ddb87105f07ce1777c schema:issueNumber 5
146 rdf:type schema:PublicationIssue
147 N85980b55c80444a1a3f6c00bf16e9dc1 rdf:first sg:person.01035112146.42
148 rdf:rest Nb4e771fbfd3848b1aa5147322aa8f388
149 Naa49aeddc32a4e19add549c35dc3a480 schema:volumeNumber 8
150 rdf:type schema:PublicationVolume
151 Naffb122d52274a668af6fedd1f189f23 schema:name dimensions_id
152 schema:value pub.1038062273
153 rdf:type schema:PropertyValue
154 Nb4e771fbfd3848b1aa5147322aa8f388 rdf:first sg:person.01116476141.81
155 rdf:rest Nbf9c6490ca56404db6a39a23debf76ac
156 Nb5d861f55a3c4e84b6000de9a2433ef2 rdf:first sg:person.01353252733.38
157 rdf:rest N5c59da32b7954ed78c52a22007b24211
158 Nba5db5188da846229c8923c90e327885 schema:name doi
159 schema:value 10.1007/s11306-011-0374-4
160 rdf:type schema:PropertyValue
161 Nbf9c6490ca56404db6a39a23debf76ac rdf:first sg:person.0645045614.66
162 rdf:rest Ndc1149e3fba845d28576de7888b37048
163 Nc1107ce02a8e4fb98cb4270f7f3aa646 rdf:first sg:person.0767051276.65
164 rdf:rest N03f29b6461934ca28882cdceb9c58614
165 Nc674181f6aae4e20834802f129031cf5 rdf:first sg:person.01077342621.91
166 rdf:rest Nf475431f785d449e91ab83749d4cb5b7
167 Ncc70b2cd734c45869fabcf21f8b9fc96 schema:name Springer Nature - SN SciGraph project
168 rdf:type schema:Organization
169 Nd7acc9dfc0fc4b5694d0dd3b7585d731 rdf:first sg:person.01255540061.22
170 rdf:rest N22bb5b73399a4d32a0806b6e82e3ad47
171 Ndc1149e3fba845d28576de7888b37048 rdf:first sg:person.0704576323.20
172 rdf:rest N0470de20be6541eaaf20e3b99f836c3a
173 Nec287306a520461d82918711953a93ff rdf:first sg:person.010306120271.06
174 rdf:rest Nc1107ce02a8e4fb98cb4270f7f3aa646
175 Nf475431f785d449e91ab83749d4cb5b7 rdf:first sg:person.01366416351.05
176 rdf:rest N37ed6ef54407409c97da96806acb14c8
177 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
178 schema:name Biological Sciences
179 rdf:type schema:DefinedTerm
180 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
181 schema:name Genetics
182 rdf:type schema:DefinedTerm
183 sg:journal.1036887 schema:issn 1573-3882
184 1573-3890
185 schema:name Metabolomics
186 schema:publisher Springer Nature
187 rdf:type schema:Periodical
188 sg:person.010306120271.06 schema:affiliation grid-institutes:None
189 schema:familyName Boualaphanh
190 schema:givenName C.
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010306120271.06
192 rdf:type schema:Person
193 sg:person.01035112146.42 schema:affiliation grid-institutes:grid.5254.6
194 schema:familyName Hansen
195 schema:givenName T. H.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035112146.42
197 rdf:type schema:Person
198 sg:person.01070161563.52 schema:affiliation grid-institutes:grid.419387.0
199 schema:familyName Anacleto
200 schema:givenName R.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070161563.52
202 rdf:type schema:Person
203 sg:person.01077342621.91 schema:affiliation grid-institutes:None
204 schema:familyName Moing
205 schema:givenName A.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077342621.91
207 rdf:type schema:Person
208 sg:person.01116476141.81 schema:affiliation grid-institutes:grid.5254.6
209 schema:familyName Laursen
210 schema:givenName K. H.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01116476141.81
212 rdf:type schema:Person
213 sg:person.01205272765.51 schema:affiliation grid-institutes:grid.419387.0
214 schema:familyName Sackville Hamilton
215 schema:givenName R.
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205272765.51
217 rdf:type schema:Person
218 sg:person.01217513506.98 schema:affiliation grid-institutes:grid.419387.0
219 schema:familyName Calingacion
220 schema:givenName M. N.
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217513506.98
222 rdf:type schema:Person
223 sg:person.01255540061.22 schema:affiliation grid-institutes:None
224 schema:familyName Biais
225 schema:givenName B.
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255540061.22
227 rdf:type schema:Person
228 sg:person.01353252733.38 schema:affiliation grid-institutes:grid.418390.7
229 schema:familyName Erban
230 schema:givenName A.
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353252733.38
232 rdf:type schema:Person
233 sg:person.01366416351.05 schema:affiliation grid-institutes:grid.450019.9
234 schema:familyName Mumm
235 schema:givenName R.
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366416351.05
237 rdf:type schema:Person
238 sg:person.01371766461.32 schema:affiliation grid-institutes:None
239 schema:familyName Deborde
240 schema:givenName C.
241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371766461.32
242 rdf:type schema:Person
243 sg:person.014575024362.22 schema:affiliation grid-institutes:grid.450019.9
244 schema:familyName de Vos
245 schema:givenName R. C. H.
246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014575024362.22
247 rdf:type schema:Person
248 sg:person.0633132075.84 schema:affiliation grid-institutes:grid.418390.7
249 schema:familyName Kopka
250 schema:givenName J.
251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633132075.84
252 rdf:type schema:Person
253 sg:person.0645045614.66 schema:affiliation grid-institutes:grid.5254.6
254 schema:familyName Schjoerring
255 schema:givenName J. K.
256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645045614.66
257 rdf:type schema:Person
258 sg:person.0652216101.78 schema:affiliation grid-institutes:grid.419387.0
259 schema:familyName Fitzgerald
260 schema:givenName M. A.
261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652216101.78
262 rdf:type schema:Person
263 sg:person.0704576323.20 schema:affiliation grid-institutes:grid.450019.9
264 schema:familyName Hall
265 schema:givenName R. D.
266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704576323.20
267 rdf:type schema:Person
268 sg:person.0712164713.05 schema:affiliation grid-institutes:grid.412041.2
269 schema:familyName Maucourt
270 schema:givenName M.
271 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712164713.05
272 rdf:type schema:Person
273 sg:person.0767051276.65 schema:affiliation grid-institutes:grid.419387.0
274 schema:familyName Daygon
275 schema:givenName V. D.
276 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767051276.65
277 rdf:type schema:Person
278 sg:pub.10.1007/0-387-48914-2_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007686250
279 https://doi.org/10.1007/0-387-48914-2_6
280 rdf:type schema:CreativeWork
281 sg:pub.10.1007/s00122-006-0281-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036477762
282 https://doi.org/10.1007/s00122-006-0281-7
283 rdf:type schema:CreativeWork
284 sg:pub.10.1007/s00394-007-0678-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046995203
285 https://doi.org/10.1007/s00394-007-0678-3
286 rdf:type schema:CreativeWork
287 sg:pub.10.1007/s11032-006-9046-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004759804
288 https://doi.org/10.1007/s11032-006-9046-x
289 rdf:type schema:CreativeWork
290 sg:pub.10.1007/s11032-009-9278-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043766891
291 https://doi.org/10.1007/s11032-009-9278-7
292 rdf:type schema:CreativeWork
293 sg:pub.10.1007/s11103-008-9381-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042123756
294 https://doi.org/10.1007/s11103-008-9381-x
295 rdf:type schema:CreativeWork
296 sg:pub.10.1007/s11306-009-0169-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1004994369
297 https://doi.org/10.1007/s11306-009-0169-z
298 rdf:type schema:CreativeWork
299 sg:pub.10.1007/s11306-010-0198-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027746322
300 https://doi.org/10.1007/s11306-010-0198-7
301 rdf:type schema:CreativeWork
302 sg:pub.10.1007/s12284-010-9057-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011838622
303 https://doi.org/10.1007/s12284-010-9057-4
304 rdf:type schema:CreativeWork
305 sg:pub.10.1186/1746-4811-5-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045540550
306 https://doi.org/10.1186/1746-4811-5-12
307 rdf:type schema:CreativeWork
308 grid-institutes:None schema:alternateName INRA—UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140, Villenave d’Ornon, France
309 Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d’Ornon, France
310 Rice and Cash Crop Research Institute, Vientiane, Lao PDR
311 schema:name Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
312 INRA—UMR1332 Fruit Biology and Pathology, Centre INRA de Bordeaux, 33140, Villenave d’Ornon, France
313 Khon Kaen University, Khon Kaen, Thailand
314 Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d’Ornon, France
315 Rice and Cash Crop Research Institute, Vientiane, Lao PDR
316 rdf:type schema:Organization
317 grid-institutes:grid.412041.2 schema:alternateName Université de Bordeaux—UMR1332 Fruit Biology and Pathology, 33140, Villenave d’Ornon, France
318 schema:name Metabolome-Fluxome Facility of Bordeaux Functional Genomics Center, IBVM, Centre INRA de Bordeaux, 33140, Villenave d’Ornon, France
319 Université de Bordeaux—UMR1332 Fruit Biology and Pathology, 33140, Villenave d’Ornon, France
320 rdf:type schema:Organization
321 grid-institutes:grid.418390.7 schema:alternateName Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
322 schema:name Max-Planck-Institute of Molecular Plant Physiology (MPIMP), Am Mühlenberg 1, 14476, Potsdam-Golm, Germany
323 rdf:type schema:Organization
324 grid-institutes:grid.419387.0 schema:alternateName Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
325 schema:name Grain Quality, and Nutrition Centre, International Rice Research Institute, DAPO 7777, Metro Manila, Philippines
326 rdf:type schema:Organization
327 grid-institutes:grid.450019.9 schema:alternateName Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands
328 schema:name Centre for BioSystems Genomics, P.O. Box 98, 6700AB, Wageningen, The Netherlands
329 Plant Research International, P.O. Box 98, 6700AB, Wageningen, The Netherlands
330 rdf:type schema:Organization
331 grid-institutes:grid.5254.6 schema:alternateName Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark
332 schema:name Plant and Soil Science Section, Department of Agriculture and Ecology, Faculty of Life Sciences, University of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Copenhagen, Denmark
333 rdf:type schema:Organization
 




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


...