Heterotic patterns of primary and secondary metabolites in the oilseed crop Brassica juncea View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-25

AUTHORS

Prabodh K. Bajpai, Michael Reichelt, Rehna Augustine, Jonathan Gershenzon, Naveen C. Bisht

ABSTRACT

Heterosis refers to the superior performance of F1 hybrids over their respective parental inbred lines. Although the genetic and expression basis of heterosis have been previously investigated, the metabolic basis for this phenomenon is poorly understood. In a preliminary morphological study in Brassica juncea, we observed significant heterosis at the 50% flowering stage, wherein both the growth and reproduction of F1 reciprocal hybrids were greater than that of their parents. To identify the possible metabolic causes or consequences of this heterosis, we carried out targeted LC-MS analysis of 48 primary (amino acids and sugars) and secondary metabolites (phytohormones, glucosinolates, flavonoids, and phenolic esters) in five developmental tissues at 50% flowering in hybrids and inbred parents. Principal component analysis (PCA) of metabolites clearly separated inbred lines from their hybrids, particularly in the bud tissues. In general, secondary metabolites displayed more negative heterosis values in comparison to primary metabolites. The tested primary and secondary metabolites displayed both additive and non-additive modes of inheritance in F1 hybrids, wherein the number of metabolites showing an additive mode of inheritance were higher in buds and siliques (52.77-97.14%) compared to leaf tissues (47.37-80%). Partial least regression (PLS) analysis further showed that primary metabolites, in general, displayed higher association with morphological parameters in F1 hybrids. Overall, our results are consistent with a resource-cost model for heterosis in B. juncea, where metabolite allocation in hybrids appears to favor growth, at the expense of secondary metabolism. More... »

PAGES

1-19

References to SciGraph publications

  • 2008-12. Gene expression analyses in maize inbreds and hybrids with varying levels of heterosis in BMC PLANT BIOLOGY
  • 1993-01. Heterosis breeding in Indian mustard (Brassica juncea L. Czern & Coss): Analysis of component characters contributing to heterosis for yield in EUPHYTICA
  • 2012-04. Innovation: Metabolomics: the apogee of the omics trilogy in NATURE REVIEWS MOLECULAR CELL BIOLOGY
  • 2014-12. Metabolic efficiency underpins performance trade-offs in growth of Arabidopsis thaliana in NATURE COMMUNICATIONS
  • 2015-12. Natural variation in timing of stress-responsive gene expression predicts heterosis in intraspecific hybrids of Arabidopsis in NATURE COMMUNICATIONS
  • 2015-12. The interaction of Arabidopsis with Piriformospora indica shifts from initial transient stress induced by fungus-released chemical mediators to a mutualistic interaction after physical contact of the two symbionts in BMC PLANT BIOLOGY
  • 2007-12. Differential gene expression in an elite hybrid rice cultivar (Oryza sativa, L) and its parental lines based on SAGE data in BMC PLANT BIOLOGY
  • 2006-11. Altered Glucosinolate Hydrolysis in Genetically Engineered Arabidopsis thaliana and its Influence on the Larval Development of Spodoptera littoralis in JOURNAL OF CHEMICAL ECOLOGY
  • 2015-11. Feeding on Leaves of the Glucosinolate Transporter Mutant gtr1gtr2 Reduces Fitness of Myzus persicae in JOURNAL OF CHEMICAL ECOLOGY
  • 2016-10. Fortune telling: metabolic markers of plant performance in METABOLOMICS
  • 2017-12. Linking the morphological and metabolomic response of Lactuca sativa L exposed to emerging contaminants using GC × GC-MS and chemometric tools in SCIENTIFIC REPORTS
  • 2010-01. Heterotic patterns of sugar and amino acid components in developing maize kernels in THEORETICAL AND APPLIED GENETICS
  • 2013-12. Transcriptome analysis of rice root heterosis by RNA-Seq in BMC GENOMICS
  • 2010-01. QTL analysis of early stage heterosis for biomass in Arabidopsis in THEORETICAL AND APPLIED GENETICS
  • 2014-03. Translational genomics in Brassica crops: challenges, progress, and future prospects in PLANT BIOTECHNOLOGY REPORTS
  • 2009-01. Herbivore induction of the glucosinolate–myrosinase defense system: major trends, biochemical bases and ecological significance in PHYTOCHEMISTRY REVIEWS
  • 2007-12. QTL analysis reveals context-dependent loci for seed glucosinolate trait in the oilseed Brassica juncea: importance of recurrent selection backcross scheme for the identification of ‘true’ QTL in THEORETICAL AND APPLIED GENETICS
  • 2013-12. Identification and characterization of a repertoire of genes differentially expressed in developing top ear shoots between a superior hybrid and its parental inbreds in Zea mays L. in MOLECULAR GENETICS AND GENOMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41437-019-0213-3

    DOI

    http://dx.doi.org/10.1038/s41437-019-0213-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112966538

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30911141


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0607", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Plant Biology", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Biological Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "National Institute of Plant Genome Research", 
              "id": "https://www.grid.ac/institutes/grid.419632.b", 
              "name": [
                "National Institute of Plant Genome Research, Aruna Asaf Ali Marg, 110067, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bajpai", 
            "givenName": "Prabodh K.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Max Planck Institute for Chemical Ecology", 
              "id": "https://www.grid.ac/institutes/grid.418160.a", 
              "name": [
                "Max Planck Institute for Chemical Ecology, Hans-Knoell-Str. 8, 07745, Jena, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Reichelt", 
            "givenName": "Michael", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Institute of Plant Genome Research", 
              "id": "https://www.grid.ac/institutes/grid.419632.b", 
              "name": [
                "National Institute of Plant Genome Research, Aruna Asaf Ali Marg, 110067, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Augustine", 
            "givenName": "Rehna", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Max Planck Institute for Chemical Ecology", 
              "id": "https://www.grid.ac/institutes/grid.418160.a", 
              "name": [
                "Max Planck Institute for Chemical Ecology, Hans-Knoell-Str. 8, 07745, Jena, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gershenzon", 
            "givenName": "Jonathan", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Institute of Plant Genome Research", 
              "id": "https://www.grid.ac/institutes/grid.419632.b", 
              "name": [
                "National Institute of Plant Genome Research, Aruna Asaf Ali Marg, 110067, New Delhi, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bisht", 
            "givenName": "Naveen C.", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1371/journal.pone.0115732", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000072402"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0021645", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000671192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.114.124388", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002864811"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-015-0419-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004045113", 
              "https://doi.org/10.1186/s12870-015-0419-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-015-0419-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004045113", 
              "https://doi.org/10.1186/s12870-015-0419-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2011.04689.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004784255"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11816-013-0298-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005008868", 
              "https://doi.org/10.1007/s11816-013-0298-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.111.178046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006589546"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1101/gr.138461.112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009547590"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10886-006-9149-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010343525", 
              "https://doi.org/10.1007/s10886-006-9149-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/mp/ssp105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011888032"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tplants.2007.08.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012220976"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/ijms150813892", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012973893"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-8-33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013398105", 
              "https://doi.org/10.1186/1471-2229-8-33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1514190112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014679549"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.114.169367", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016246793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.114.169367", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016246793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.151030", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016536478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00022368", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016943654", 
              "https://doi.org/10.1007/bf00022368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00022368", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016943654", 
              "https://doi.org/10.1007/bf00022368"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-14-19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017683673", 
              "https://doi.org/10.1186/1471-2164-14-19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.111.094870", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017792093"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.107.077537", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019791097"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.107.077537", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019791097"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-7-49", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019807277", 
              "https://doi.org/10.1186/1471-2229-7-49"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2004.02186.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021318721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrm3314", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023146162", 
              "https://doi.org/10.1038/nrm3314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-016-1099-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023226075", 
              "https://doi.org/10.1007/s11306-016-1099-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11306-016-1099-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023226075", 
              "https://doi.org/10.1007/s11306-016-1099-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.108.091942", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024404634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1534/genetics.108.091942", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024404634"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0648-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024421095", 
              "https://doi.org/10.1007/s00122-007-0648-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0648-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024421095", 
              "https://doi.org/10.1007/s00122-007-0648-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fpls.2015.00744", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024597873"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1519926112", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025068915"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/ijms151120833", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025175370"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.113.118992", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025487376"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1190-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029323248", 
              "https://doi.org/10.1007/s00122-009-1190-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1190-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029323248", 
              "https://doi.org/10.1007/s00122-009-1190-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1190-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029323248", 
              "https://doi.org/10.1007/s00122-009-1190-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2012.05056.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030591333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/eru337", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030900468"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0040-4020(01)81437-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033662236"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1074-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035227617", 
              "https://doi.org/10.1007/s00122-009-1074-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1074-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035227617", 
              "https://doi.org/10.1007/s00122-009-1074-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-009-1074-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035227617", 
              "https://doi.org/10.1007/s00122-009-1074-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0049951", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035281227"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3389/fpls.2016.01677", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035287562"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11101-008-9117-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037779248", 
              "https://doi.org/10.1007/s11101-008-9117-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms8453", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040461517", 
              "https://doi.org/10.1038/ncomms8453"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.126.2.524", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040793616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/ijms140714950", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042034366"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.021501", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046765567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.114.130948", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046797265"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0039578", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047027862"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10886-015-0641-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047092629", 
              "https://doi.org/10.1007/s10886-015-0641-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10886-015-0641-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047092629", 
              "https://doi.org/10.1007/s10886-015-0641-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-313x.2012.05021.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050034639"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00438-013-0781-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050077053", 
              "https://doi.org/10.1007/s00438-013-0781-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ncomms4537", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051739569", 
              "https://doi.org/10.1038/ncomms4537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf202556p", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053533666"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf202556p", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053533666"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf1004786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055907966"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf1004786", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055907966"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/pr500337j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056293848"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1230406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062467717"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4238/2014.october.20.22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072392936"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/rwgn.2001.0611", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1089834808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-06773-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090836359", 
              "https://doi.org/10.1038/s41598-017-06773-0"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-03-25", 
        "datePublishedReg": "2019-03-25", 
        "description": "Heterosis refers to the superior performance of F1 hybrids over their respective parental inbred lines. Although the genetic and expression basis of heterosis have been previously investigated, the metabolic basis for this phenomenon is poorly understood. In a preliminary morphological study in Brassica juncea, we observed significant heterosis at the 50% flowering stage, wherein both the growth and reproduction of F1 reciprocal hybrids were greater than that of their parents. To identify the possible metabolic causes or consequences of this heterosis, we carried out targeted LC-MS analysis of 48 primary (amino acids and sugars) and secondary metabolites (phytohormones, glucosinolates, flavonoids, and phenolic esters) in five developmental tissues at 50% flowering in hybrids and inbred parents. Principal component analysis (PCA) of metabolites clearly separated inbred lines from their hybrids, particularly in the bud tissues. In general, secondary metabolites displayed more negative heterosis values in comparison to primary metabolites. The tested primary and secondary metabolites displayed both additive and non-additive modes of inheritance in F1 hybrids, wherein the number of metabolites showing an additive mode of inheritance were higher in buds and siliques (52.77-97.14%) compared to leaf tissues (47.37-80%). Partial least regression (PLS) analysis further showed that primary metabolites, in general, displayed higher association with morphological parameters in F1 hybrids. Overall, our results are consistent with a resource-cost model for heterosis in B. juncea, where metabolite allocation in hybrids appears to favor growth, at the expense of secondary metabolism.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1038/s41437-019-0213-3", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1017442", 
            "issn": [
              "0018-067X", 
              "1365-2540"
            ], 
            "name": "Heredity", 
            "type": "Periodical"
          }
        ], 
        "name": "Heterotic patterns of primary and secondary metabolites in the oilseed crop Brassica juncea", 
        "pagination": "1-19", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "034d3de05c007302f62885467e8bba1e8b83afbfd263aa30d91bd76c9c2f8f35"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30911141"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "0373007"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41437-019-0213-3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112966538"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41437-019-0213-3", 
          "https://app.dimensions.ai/details/publication/pub.1112966538"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:05", 
        "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/v90/0000000366_0000000366/records_112063_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://www.nature.com/articles/s41437-019-0213-3"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41437-019-0213-3'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41437-019-0213-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41437-019-0213-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41437-019-0213-3'


     

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

    272 TRIPLES      21 PREDICATES      81 URIs      18 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41437-019-0213-3 schema:about anzsrc-for:06
    2 anzsrc-for:0607
    3 schema:author N920bbecbb90d41b886ad7f7b3ed50af2
    4 schema:citation sg:pub.10.1007/bf00022368
    5 sg:pub.10.1007/s00122-007-0648-4
    6 sg:pub.10.1007/s00122-009-1074-6
    7 sg:pub.10.1007/s00122-009-1190-3
    8 sg:pub.10.1007/s00438-013-0781-5
    9 sg:pub.10.1007/s10886-006-9149-1
    10 sg:pub.10.1007/s10886-015-0641-3
    11 sg:pub.10.1007/s11101-008-9117-1
    12 sg:pub.10.1007/s11306-016-1099-1
    13 sg:pub.10.1007/s11816-013-0298-8
    14 sg:pub.10.1038/ncomms4537
    15 sg:pub.10.1038/ncomms8453
    16 sg:pub.10.1038/nrm3314
    17 sg:pub.10.1038/s41598-017-06773-0
    18 sg:pub.10.1186/1471-2164-14-19
    19 sg:pub.10.1186/1471-2229-7-49
    20 sg:pub.10.1186/1471-2229-8-33
    21 sg:pub.10.1186/s12870-015-0419-3
    22 https://doi.org/10.1006/rwgn.2001.0611
    23 https://doi.org/10.1016/j.tplants.2007.08.005
    24 https://doi.org/10.1016/s0040-4020(01)81437-x
    25 https://doi.org/10.1021/jf1004786
    26 https://doi.org/10.1021/jf202556p
    27 https://doi.org/10.1021/pr500337j
    28 https://doi.org/10.1073/pnas.1514190112
    29 https://doi.org/10.1073/pnas.1519926112
    30 https://doi.org/10.1093/jxb/eru337
    31 https://doi.org/10.1093/mp/ssp105
    32 https://doi.org/10.1101/gr.138461.112
    33 https://doi.org/10.1104/pp.111.178046
    34 https://doi.org/10.1104/pp.126.2.524
    35 https://doi.org/10.1105/tpc.021501
    36 https://doi.org/10.1105/tpc.111.094870
    37 https://doi.org/10.1105/tpc.113.118992
    38 https://doi.org/10.1105/tpc.114.124388
    39 https://doi.org/10.1105/tpc.114.130948
    40 https://doi.org/10.1105/tpc.151030
    41 https://doi.org/10.1111/j.1365-313x.2004.02186.x
    42 https://doi.org/10.1111/j.1365-313x.2011.04689.x
    43 https://doi.org/10.1111/j.1365-313x.2012.05021.x
    44 https://doi.org/10.1111/j.1365-313x.2012.05056.x
    45 https://doi.org/10.1126/science.1230406
    46 https://doi.org/10.1371/journal.pone.0021645
    47 https://doi.org/10.1371/journal.pone.0039578
    48 https://doi.org/10.1371/journal.pone.0049951
    49 https://doi.org/10.1371/journal.pone.0115732
    50 https://doi.org/10.1534/genetics.107.077537
    51 https://doi.org/10.1534/genetics.108.091942
    52 https://doi.org/10.1534/genetics.114.169367
    53 https://doi.org/10.3389/fpls.2015.00744
    54 https://doi.org/10.3389/fpls.2016.01677
    55 https://doi.org/10.3390/ijms140714950
    56 https://doi.org/10.3390/ijms150813892
    57 https://doi.org/10.3390/ijms151120833
    58 https://doi.org/10.4238/2014.october.20.22
    59 schema:datePublished 2019-03-25
    60 schema:datePublishedReg 2019-03-25
    61 schema:description Heterosis refers to the superior performance of F1 hybrids over their respective parental inbred lines. Although the genetic and expression basis of heterosis have been previously investigated, the metabolic basis for this phenomenon is poorly understood. In a preliminary morphological study in Brassica juncea, we observed significant heterosis at the 50% flowering stage, wherein both the growth and reproduction of F1 reciprocal hybrids were greater than that of their parents. To identify the possible metabolic causes or consequences of this heterosis, we carried out targeted LC-MS analysis of 48 primary (amino acids and sugars) and secondary metabolites (phytohormones, glucosinolates, flavonoids, and phenolic esters) in five developmental tissues at 50% flowering in hybrids and inbred parents. Principal component analysis (PCA) of metabolites clearly separated inbred lines from their hybrids, particularly in the bud tissues. In general, secondary metabolites displayed more negative heterosis values in comparison to primary metabolites. The tested primary and secondary metabolites displayed both additive and non-additive modes of inheritance in F1 hybrids, wherein the number of metabolites showing an additive mode of inheritance were higher in buds and siliques (52.77-97.14%) compared to leaf tissues (47.37-80%). Partial least regression (PLS) analysis further showed that primary metabolites, in general, displayed higher association with morphological parameters in F1 hybrids. Overall, our results are consistent with a resource-cost model for heterosis in B. juncea, where metabolite allocation in hybrids appears to favor growth, at the expense of secondary metabolism.
    62 schema:genre research_article
    63 schema:inLanguage en
    64 schema:isAccessibleForFree false
    65 schema:isPartOf sg:journal.1017442
    66 schema:name Heterotic patterns of primary and secondary metabolites in the oilseed crop Brassica juncea
    67 schema:pagination 1-19
    68 schema:productId N0b6c65889ff844d6b73c2073597fdba6
    69 N12a09de73a234ee9830416808ffcc39c
    70 Nbcba4d4a712747d194a1d0458b2963d2
    71 Nd0a5f8fb78e24cbda72862a04814bf1f
    72 Nef8805475fb74888844453575295f93d
    73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112966538
    74 https://doi.org/10.1038/s41437-019-0213-3
    75 schema:sdDatePublished 2019-04-11T13:05
    76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    77 schema:sdPublisher Nb2426527159b428087ed4ce9bc6d9b4b
    78 schema:url https://www.nature.com/articles/s41437-019-0213-3
    79 sgo:license sg:explorer/license/
    80 sgo:sdDataset articles
    81 rdf:type schema:ScholarlyArticle
    82 N0b6c65889ff844d6b73c2073597fdba6 schema:name nlm_unique_id
    83 schema:value 0373007
    84 rdf:type schema:PropertyValue
    85 N12a09de73a234ee9830416808ffcc39c schema:name dimensions_id
    86 schema:value pub.1112966538
    87 rdf:type schema:PropertyValue
    88 N174f32d4e65c4143ad466c625c91a0c5 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
    89 schema:familyName Bajpai
    90 schema:givenName Prabodh K.
    91 rdf:type schema:Person
    92 N231305a598d044c3a2cc6617bd80f7fa rdf:first N719c096e4166497185eb6b8afb8ea6df
    93 rdf:rest rdf:nil
    94 N4c822ae797da448f83bb32b5b08eff6e rdf:first N717794215c44462aaf4a0c72af1c16b8
    95 rdf:rest N231305a598d044c3a2cc6617bd80f7fa
    96 N6174147aaee04db29ba7a8499a0b46aa schema:affiliation https://www.grid.ac/institutes/grid.418160.a
    97 schema:familyName Reichelt
    98 schema:givenName Michael
    99 rdf:type schema:Person
    100 N717794215c44462aaf4a0c72af1c16b8 schema:affiliation https://www.grid.ac/institutes/grid.418160.a
    101 schema:familyName Gershenzon
    102 schema:givenName Jonathan
    103 rdf:type schema:Person
    104 N719c096e4166497185eb6b8afb8ea6df schema:affiliation https://www.grid.ac/institutes/grid.419632.b
    105 schema:familyName Bisht
    106 schema:givenName Naveen C.
    107 rdf:type schema:Person
    108 N920bbecbb90d41b886ad7f7b3ed50af2 rdf:first N174f32d4e65c4143ad466c625c91a0c5
    109 rdf:rest N9817bddea3e546f3baa27170aefc7393
    110 N9817bddea3e546f3baa27170aefc7393 rdf:first N6174147aaee04db29ba7a8499a0b46aa
    111 rdf:rest Nb97fcdcf5390411583fc845e5fb60976
    112 Nb2426527159b428087ed4ce9bc6d9b4b schema:name Springer Nature - SN SciGraph project
    113 rdf:type schema:Organization
    114 Nb97fcdcf5390411583fc845e5fb60976 rdf:first Nf132fa47e4064160884714d1dfa86250
    115 rdf:rest N4c822ae797da448f83bb32b5b08eff6e
    116 Nbcba4d4a712747d194a1d0458b2963d2 schema:name pubmed_id
    117 schema:value 30911141
    118 rdf:type schema:PropertyValue
    119 Nd0a5f8fb78e24cbda72862a04814bf1f schema:name readcube_id
    120 schema:value 034d3de05c007302f62885467e8bba1e8b83afbfd263aa30d91bd76c9c2f8f35
    121 rdf:type schema:PropertyValue
    122 Nef8805475fb74888844453575295f93d schema:name doi
    123 schema:value 10.1038/s41437-019-0213-3
    124 rdf:type schema:PropertyValue
    125 Nf132fa47e4064160884714d1dfa86250 schema:affiliation https://www.grid.ac/institutes/grid.419632.b
    126 schema:familyName Augustine
    127 schema:givenName Rehna
    128 rdf:type schema:Person
    129 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    130 schema:name Biological Sciences
    131 rdf:type schema:DefinedTerm
    132 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
    133 schema:name Plant Biology
    134 rdf:type schema:DefinedTerm
    135 sg:journal.1017442 schema:issn 0018-067X
    136 1365-2540
    137 schema:name Heredity
    138 rdf:type schema:Periodical
    139 sg:pub.10.1007/bf00022368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016943654
    140 https://doi.org/10.1007/bf00022368
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1007/s00122-007-0648-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024421095
    143 https://doi.org/10.1007/s00122-007-0648-4
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1007/s00122-009-1074-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035227617
    146 https://doi.org/10.1007/s00122-009-1074-6
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1007/s00122-009-1190-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029323248
    149 https://doi.org/10.1007/s00122-009-1190-3
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s00438-013-0781-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050077053
    152 https://doi.org/10.1007/s00438-013-0781-5
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s10886-006-9149-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010343525
    155 https://doi.org/10.1007/s10886-006-9149-1
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1007/s10886-015-0641-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047092629
    158 https://doi.org/10.1007/s10886-015-0641-3
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1007/s11101-008-9117-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037779248
    161 https://doi.org/10.1007/s11101-008-9117-1
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1007/s11306-016-1099-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023226075
    164 https://doi.org/10.1007/s11306-016-1099-1
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1007/s11816-013-0298-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005008868
    167 https://doi.org/10.1007/s11816-013-0298-8
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1038/ncomms4537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051739569
    170 https://doi.org/10.1038/ncomms4537
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1038/ncomms8453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040461517
    173 https://doi.org/10.1038/ncomms8453
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1038/nrm3314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023146162
    176 https://doi.org/10.1038/nrm3314
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1038/s41598-017-06773-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090836359
    179 https://doi.org/10.1038/s41598-017-06773-0
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1186/1471-2164-14-19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017683673
    182 https://doi.org/10.1186/1471-2164-14-19
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1186/1471-2229-7-49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019807277
    185 https://doi.org/10.1186/1471-2229-7-49
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1186/1471-2229-8-33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013398105
    188 https://doi.org/10.1186/1471-2229-8-33
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1186/s12870-015-0419-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004045113
    191 https://doi.org/10.1186/s12870-015-0419-3
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1006/rwgn.2001.0611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089834808
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1016/j.tplants.2007.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012220976
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1016/s0040-4020(01)81437-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033662236
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1021/jf1004786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055907966
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1021/jf202556p schema:sameAs https://app.dimensions.ai/details/publication/pub.1053533666
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1021/pr500337j schema:sameAs https://app.dimensions.ai/details/publication/pub.1056293848
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1073/pnas.1514190112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014679549
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1073/pnas.1519926112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025068915
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1093/jxb/eru337 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030900468
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1093/mp/ssp105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011888032
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1101/gr.138461.112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009547590
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1104/pp.111.178046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006589546
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1104/pp.126.2.524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040793616
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1105/tpc.021501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046765567
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1105/tpc.111.094870 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017792093
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1105/tpc.113.118992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025487376
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1105/tpc.114.124388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002864811
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1105/tpc.114.130948 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046797265
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1105/tpc.151030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016536478
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1111/j.1365-313x.2004.02186.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021318721
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1111/j.1365-313x.2011.04689.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004784255
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1111/j.1365-313x.2012.05021.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050034639
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1111/j.1365-313x.2012.05056.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030591333
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1126/science.1230406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062467717
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1371/journal.pone.0021645 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000671192
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1371/journal.pone.0039578 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047027862
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1371/journal.pone.0049951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035281227
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1371/journal.pone.0115732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000072402
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1534/genetics.107.077537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019791097
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1534/genetics.108.091942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024404634
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1534/genetics.114.169367 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016246793
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.3389/fpls.2015.00744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024597873
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.3389/fpls.2016.01677 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035287562
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.3390/ijms140714950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042034366
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.3390/ijms150813892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012973893
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.3390/ijms151120833 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025175370
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.4238/2014.october.20.22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072392936
    266 rdf:type schema:CreativeWork
    267 https://www.grid.ac/institutes/grid.418160.a schema:alternateName Max Planck Institute for Chemical Ecology
    268 schema:name Max Planck Institute for Chemical Ecology, Hans-Knoell-Str. 8, 07745, Jena, Germany
    269 rdf:type schema:Organization
    270 https://www.grid.ac/institutes/grid.419632.b schema:alternateName National Institute of Plant Genome Research
    271 schema:name National Institute of Plant Genome Research, Aruna Asaf Ali Marg, 110067, New Delhi, India
    272 rdf:type schema:Organization
     




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


    ...