Genetic variation of wood chemical traits and association with underlying genes in Eucalyptus urophylla View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-03-09

AUTHORS

M. Denis, B. Favreau, S. Ueno, L. Camus-Kulandaivelu, G. Chaix, J.-M. Gion, S. Nourrisier-Mountou, J. Polidori, J.-M. Bouvet

ABSTRACT

We developed a quantitative and association genetic study with Eucalyptus urophylla using a progeny trial. Based on a sample of 831 trees distributed in 84 half-sib families whose wood was phenotyped by near-infrared spectroscopy, the results showed that traits related to lignin, cellulose, and wood extractives presented significant additive genetic variability with moderate to high narrow sense heritability (h2 = 0.28 to 0.93). Genetic correlations varied with high standard error and showed low to moderate values. Using three cellulose synthase genes (EuCesA1, EuCesA2, and EuCesA3) and three candidate genes involved in the lignin pathway (EuC4H1, EuC4H2, and EuCAD2), an association study was performed for each of the gene action models (co-dominant, recessive, and dominant) using two methods. Firstly, single-marker association tests were done and 539 tests (49 single nucleotide polymorphisms (SNPs) × 11 traits) were analyzed. After Bonferroni correction with a significance level of P = 0.00102, only four SNPs presented significant association with syringyl and syringyl-to-guaiacyl ratio with an adjusted coefficient of determination varying between 2.6 and 4.4 %. Secondly, a model selection method, the backward approach, was implemented. Similar SNPs were detected by both the backward selection and the individual marker approaches. However, the latter detected new associations with other traits, genes, and SNPs and improved the quality of the model as shown by the BIC criteria and the higher adjusted determination coefficient (1.5 to 8.3 %). Our results reveal that cellulose genes can be associated with lignin traits (syringyl-to-guaiacyl ratio) and stress the possible pleiotropic effect of some genes. More... »

PAGES

927-942

References to SciGraph publications

  • 2008-09-05. Genetic parameters for growth, wood density and pulp yield in Eucalyptus globulus in TREE GENETICS & GENOMES
  • 2009-10-13. Relationship of wood composition to growth traits of selected open-pollinated families of Eucalyptus urophylla from a progeny trial in Vietnam in NEW FORESTS
  • 2009-07-01. QTL influencing growth and wood properties in Eucalyptus globulus in TREE GENETICS & GENOMES
  • 2011-08-25. Genetic variation of natural durability traits in Eucalyptus cladocalyx (sugar gum) in ANNALS OF FOREST SCIENCE
  • 2012-06-17. Efficiency of genomic selection with models including dominance effect in the context of Eucalyptus breeding in TREE GENETICS & GENOMES
  • 2011-01-18. Forest tree genomics: growing resources and applications in NATURE REVIEWS GENETICS
  • 2010-12. Family-based association analysis of theMAPT gene in Parkinson in JOURNAL OF APPLIED GENETICS
  • 2008-06-29. Trends in additive, dominance and environmental effects with age for growth traits in Eucalyptus hybrid populations in EUPHYTICA
  • 2012-02-24. Age trends of microfibril angle inheritance and their genetic and environmental correlations with growth, density and chemical properties in Eucalyptus urophylla S.T. Blake wood in ANNALS OF FOREST SCIENCE
  • 1989. Wood Variation, Its Causes and Control in NONE
  • 2002-10. The vascular expression pattern directed by the Eucalyptus gunnii cinnamyl alcohol dehydrogenase EgCAD2 promoter is conserved among woody and herbaceous plant species in PLANT MOLECULAR BIOLOGY
  • 2011-01-19. Association genetics of carbon isotope discrimination, height and foliar nitrogen in a natural population of Pinus taeda L in HEREDITY
  • 2009-11-10. Quantitative trait locus (QTL) analysis of wood quality traits in Eucalyptus nitens in TREE GENETICS & GENOMES
  • 2011-12-03. A candidate gene for lignin composition in Eucalyptus: cinnamoyl-CoA reductase (CCR) in TREE GENETICS & GENOMES
  • 2009-10-08. Comparative genome analysis of lignin biosynthesis gene families across the plant kingdom in BMC BIOINFORMATICS
  • 2008-09-03. Genetic variation in Eucalyptus nitens pulpwood and wood shrinkage traits in TREE GENETICS & GENOMES
  • 1998-10. Development, characterization and mapping of microsatellite markers in Eucalyptus grandis and E. urophylla in THEORETICAL AND APPLIED GENETICS
  • 2009-01. Cellulose content as a selection trait in breeding for kraft pulp yield in Eucalyptus urophylla in ANNALS OF FOREST SCIENCE
  • 2008-03-04. Microsatellite diversity and genetic structure of the commercially important tropical tree species Eucalyptus urophylla, endemic to seven islands in eastern Indonesia in TREE GENETICS & GENOMES
  • 2012-04-15. Progress in Myrtaceae genetics and genomics: Eucalyptus as the pivotal genus in TREE GENETICS & GENOMES
  • 2005-12-25. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness in NATURE GENETICS
  • 2011-06-08. Comprehensive genetic dissection of wood properties in a widely-grown tropical tree: Eucalyptus in BMC GENOMICS
  • 2000-12-08. Cytochromes P450: a success story in GENOME BIOLOGY
  • 2010-02-10. Variation explained in mixed-model association mapping in HEREDITY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11295-013-0606-z

    DOI

    http://dx.doi.org/10.1007/s11295-013-0606-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037803135


    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": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Denis", 
            "givenName": "M.", 
            "id": "sg:person.0605571370.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605571370.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Favreau", 
            "givenName": "B.", 
            "id": "sg:person.07645015733.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07645015733.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Forestry and Forest Products Research Institute, 305-8687, Matsunosato, Tsukuba, Ibaraki, Japan", 
              "id": "http://www.grid.ac/institutes/grid.417935.d", 
              "name": [
                "Forestry and Forest Products Research Institute, 305-8687, Matsunosato, Tsukuba, Ibaraki, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ueno", 
            "givenName": "S.", 
            "id": "sg:person.0634461446.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634461446.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Camus-Kulandaivelu", 
            "givenName": "L.", 
            "id": "sg:person.01240054641.93", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240054641.93"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chaix", 
            "givenName": "G.", 
            "id": "sg:person.014366426543.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014366426543.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gion", 
            "givenName": "J.-M.", 
            "id": "sg:person.01015124413.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015124413.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nourrisier-Mountou", 
            "givenName": "S.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CRDPI: Research Centre on the Sustainable Productivity of Commercial Plantations, BP 1291, Pointe-Noire, Republic of the Congo", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CRDPI: Research Centre on the Sustainable Productivity of Commercial Plantations, BP 1291, Pointe-Noire, Republic of the Congo"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Polidori", 
            "givenName": "J.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "CIRAD\u2013AGAP Research Unit 108 \u201cGenetic Improvement and Adaptation of Tropical and Mediterranean Plants\u201d, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bouvet", 
            "givenName": "J.-M.", 
            "id": "sg:person.01123526775.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123526775.27"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf03208881", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025245606", 
              "https://doi.org/10.1007/bf03208881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1051/forest/2009064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056968169", 
              "https://doi.org/10.1051/forest/2009064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0179-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029979900", 
              "https://doi.org/10.1007/s11295-008-0179-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-008-0174-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048881116", 
              "https://doi.org/10.1007/s11295-008-0174-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.2010.11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027785330", 
              "https://doi.org/10.1038/hdy.2010.11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11056-009-9172-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036227369", 
              "https://doi.org/10.1007/s11056-009-9172-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-10-s11-s3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046914480", 
              "https://doi.org/10.1186/1471-2105-10-s11-s3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-011-0121-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053088081", 
              "https://doi.org/10.1007/s13595-011-0121-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-009-0222-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006308641", 
              "https://doi.org/10.1007/s11295-009-0222-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-009-0250-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014931885", 
              "https://doi.org/10.1007/s11295-009-0250-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10681-008-9746-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008779662", 
              "https://doi.org/10.1007/s10681-008-9746-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-642-74069-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041988375", 
              "https://doi.org/10.1007/978-3-642-74069-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0528-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022357310", 
              "https://doi.org/10.1007/s11295-012-0528-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s13595-012-0186-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003001226", 
              "https://doi.org/10.1007/s13595-012-0186-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220050961", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014842871", 
              "https://doi.org/10.1007/s001220050961"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-007-0128-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046026644", 
              "https://doi.org/10.1007/s11295-007-0128-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-011-0446-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039097214", 
              "https://doi.org/10.1007/s11295-011-0446-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2000-1-6-reviews3003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000879123", 
              "https://doi.org/10.1186/gb-2000-1-6-reviews3003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrg2931", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013788172", 
              "https://doi.org/10.1038/nrg2931"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hdy.2010.168", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040877087", 
              "https://doi.org/10.1038/hdy.2010.168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-12-301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023586428", 
              "https://doi.org/10.1186/1471-2164-12-301"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/ng1702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035781360", 
              "https://doi.org/10.1038/ng1702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11295-012-0491-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010153501", 
              "https://doi.org/10.1007/s11295-012-0491-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1019817913604", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012591949", 
              "https://doi.org/10.1023/a:1019817913604"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-03-09", 
        "datePublishedReg": "2013-03-09", 
        "description": "We developed a quantitative and association genetic study with Eucalyptus urophylla using a progeny trial. Based on a sample of 831 trees distributed in 84 half-sib families whose wood was phenotyped by near-infrared spectroscopy, the results showed that traits related to lignin, cellulose, and wood extractives presented significant additive genetic variability with moderate to high narrow sense heritability (h2\u2009=\u20090.28 to 0.93). Genetic correlations varied with high standard error and showed low to moderate values. Using three cellulose synthase genes (EuCesA1, EuCesA2, and EuCesA3) and three candidate genes involved in the lignin pathway (EuC4H1, EuC4H2, and EuCAD2), an association study was performed for each of the gene action models (co-dominant, recessive, and dominant) using two methods. Firstly, single-marker association tests were done and 539 tests (49 single nucleotide polymorphisms (SNPs)\u2009\u00d7\u200911 traits) were analyzed. After Bonferroni correction with a significance level of P\u2009=\u20090.00102, only four SNPs presented significant association with syringyl and syringyl-to-guaiacyl ratio with an adjusted coefficient of determination varying between 2.6 and 4.4\u00a0%. Secondly, a model selection method, the backward approach, was implemented. Similar SNPs were detected by both the backward selection and the individual marker approaches. However, the latter detected new associations with other traits, genes, and SNPs and improved the quality of the model as shown by the BIC criteria and the higher adjusted determination coefficient (1.5 to 8.3\u00a0%). Our results reveal that cellulose genes can be associated with lignin traits (syringyl-to-guaiacyl ratio) and stress the possible pleiotropic effect of some genes.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s11295-013-0606-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1036007", 
            "issn": [
              "1614-2942", 
              "1614-2950"
            ], 
            "name": "Tree Genetics & Genomes", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "9"
          }
        ], 
        "keywords": [
          "high narrow-sense heritability", 
          "cellulose synthase genes", 
          "Eucalyptus urophylla", 
          "association genetic studies", 
          "wood chemical traits", 
          "narrow-sense heritability", 
          "half-sib families", 
          "additive genetic variability", 
          "single-marker association tests", 
          "lignin pathway", 
          "cellulose genes", 
          "possible pleiotropic effects", 
          "sense heritability", 
          "synthase gene", 
          "genetic variation", 
          "genetic variability", 
          "chemical traits", 
          "candidate genes", 
          "similar SNPs", 
          "lignin traits", 
          "genetic studies", 
          "association studies", 
          "genes", 
          "genetic correlations", 
          "pleiotropic effects", 
          "progeny trials", 
          "traits", 
          "SNPs", 
          "urophylla", 
          "guaiacyl ratio", 
          "new associations", 
          "Association Test", 
          "individual markers", 
          "heritability", 
          "pathway", 
          "syringyl", 
          "trees", 
          "high standard errors", 
          "Bonferroni correction", 
          "family", 
          "markers", 
          "selection", 
          "association", 
          "variation", 
          "lignin", 
          "cellulose", 
          "wood", 
          "variability", 
          "wood extractives", 
          "levels", 
          "study", 
          "selection method", 
          "significant association", 
          "results", 
          "model selection method", 
          "adjusted determination coefficient", 
          "effect", 
          "backward selection", 
          "extractives", 
          "model", 
          "correlation", 
          "determination", 
          "significance level", 
          "samples", 
          "action model", 
          "approach", 
          "moderate values", 
          "method", 
          "ratio", 
          "test", 
          "spectroscopy", 
          "quality", 
          "values", 
          "BIC criterion", 
          "determination coefficient", 
          "standard error", 
          "coefficient", 
          "trials", 
          "backward approach", 
          "criteria", 
          "correction", 
          "adjusted coefficient", 
          "error"
        ], 
        "name": "Genetic variation of wood chemical traits and association with underlying genes in Eucalyptus urophylla", 
        "pagination": "927-942", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1037803135"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s11295-013-0606-z"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s11295-013-0606-z", 
          "https://app.dimensions.ai/details/publication/pub.1037803135"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-06-01T22:13", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_607.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s11295-013-0606-z"
      }
    ]
     

    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/s11295-013-0606-z'

    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/s11295-013-0606-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11295-013-0606-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11295-013-0606-z'


     

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

    296 TRIPLES      22 PREDICATES      132 URIs      100 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s11295-013-0606-z schema:about anzsrc-for:06
    2 anzsrc-for:0604
    3 schema:author Ne62de9d654814fe089e77b7aa5aa53d2
    4 schema:citation sg:pub.10.1007/978-3-642-74069-5
    5 sg:pub.10.1007/bf03208881
    6 sg:pub.10.1007/s001220050961
    7 sg:pub.10.1007/s10681-008-9746-x
    8 sg:pub.10.1007/s11056-009-9172-5
    9 sg:pub.10.1007/s11295-007-0128-7
    10 sg:pub.10.1007/s11295-008-0174-9
    11 sg:pub.10.1007/s11295-008-0179-4
    12 sg:pub.10.1007/s11295-009-0222-0
    13 sg:pub.10.1007/s11295-009-0250-9
    14 sg:pub.10.1007/s11295-011-0446-7
    15 sg:pub.10.1007/s11295-012-0491-x
    16 sg:pub.10.1007/s11295-012-0528-1
    17 sg:pub.10.1007/s13595-011-0121-z
    18 sg:pub.10.1007/s13595-012-0186-3
    19 sg:pub.10.1023/a:1019817913604
    20 sg:pub.10.1038/hdy.2010.11
    21 sg:pub.10.1038/hdy.2010.168
    22 sg:pub.10.1038/ng1702
    23 sg:pub.10.1038/nrg2931
    24 sg:pub.10.1051/forest/2009064
    25 sg:pub.10.1186/1471-2105-10-s11-s3
    26 sg:pub.10.1186/1471-2164-12-301
    27 sg:pub.10.1186/gb-2000-1-6-reviews3003
    28 schema:datePublished 2013-03-09
    29 schema:datePublishedReg 2013-03-09
    30 schema:description We developed a quantitative and association genetic study with Eucalyptus urophylla using a progeny trial. Based on a sample of 831 trees distributed in 84 half-sib families whose wood was phenotyped by near-infrared spectroscopy, the results showed that traits related to lignin, cellulose, and wood extractives presented significant additive genetic variability with moderate to high narrow sense heritability (h2 = 0.28 to 0.93). Genetic correlations varied with high standard error and showed low to moderate values. Using three cellulose synthase genes (EuCesA1, EuCesA2, and EuCesA3) and three candidate genes involved in the lignin pathway (EuC4H1, EuC4H2, and EuCAD2), an association study was performed for each of the gene action models (co-dominant, recessive, and dominant) using two methods. Firstly, single-marker association tests were done and 539 tests (49 single nucleotide polymorphisms (SNPs) × 11 traits) were analyzed. After Bonferroni correction with a significance level of P = 0.00102, only four SNPs presented significant association with syringyl and syringyl-to-guaiacyl ratio with an adjusted coefficient of determination varying between 2.6 and 4.4 %. Secondly, a model selection method, the backward approach, was implemented. Similar SNPs were detected by both the backward selection and the individual marker approaches. However, the latter detected new associations with other traits, genes, and SNPs and improved the quality of the model as shown by the BIC criteria and the higher adjusted determination coefficient (1.5 to 8.3 %). Our results reveal that cellulose genes can be associated with lignin traits (syringyl-to-guaiacyl ratio) and stress the possible pleiotropic effect of some genes.
    31 schema:genre article
    32 schema:inLanguage en
    33 schema:isAccessibleForFree false
    34 schema:isPartOf N4638ec598fe04b23b1788bd01e6576b7
    35 Nc399e34509d247eeb874055bd94606bf
    36 sg:journal.1036007
    37 schema:keywords Association Test
    38 BIC criterion
    39 Bonferroni correction
    40 Eucalyptus urophylla
    41 SNPs
    42 action model
    43 additive genetic variability
    44 adjusted coefficient
    45 adjusted determination coefficient
    46 approach
    47 association
    48 association genetic studies
    49 association studies
    50 backward approach
    51 backward selection
    52 candidate genes
    53 cellulose
    54 cellulose genes
    55 cellulose synthase genes
    56 chemical traits
    57 coefficient
    58 correction
    59 correlation
    60 criteria
    61 determination
    62 determination coefficient
    63 effect
    64 error
    65 extractives
    66 family
    67 genes
    68 genetic correlations
    69 genetic studies
    70 genetic variability
    71 genetic variation
    72 guaiacyl ratio
    73 half-sib families
    74 heritability
    75 high narrow-sense heritability
    76 high standard errors
    77 individual markers
    78 levels
    79 lignin
    80 lignin pathway
    81 lignin traits
    82 markers
    83 method
    84 model
    85 model selection method
    86 moderate values
    87 narrow-sense heritability
    88 new associations
    89 pathway
    90 pleiotropic effects
    91 possible pleiotropic effects
    92 progeny trials
    93 quality
    94 ratio
    95 results
    96 samples
    97 selection
    98 selection method
    99 sense heritability
    100 significance level
    101 significant association
    102 similar SNPs
    103 single-marker association tests
    104 spectroscopy
    105 standard error
    106 study
    107 synthase gene
    108 syringyl
    109 test
    110 traits
    111 trees
    112 trials
    113 urophylla
    114 values
    115 variability
    116 variation
    117 wood
    118 wood chemical traits
    119 wood extractives
    120 schema:name Genetic variation of wood chemical traits and association with underlying genes in Eucalyptus urophylla
    121 schema:pagination 927-942
    122 schema:productId N5333542f1fe046b5a68ee66e580a33ad
    123 Ne40c6fc8a0a44f82afdaa71e66b17415
    124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037803135
    125 https://doi.org/10.1007/s11295-013-0606-z
    126 schema:sdDatePublished 2022-06-01T22:13
    127 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    128 schema:sdPublisher N49e82c6f1cbe4d94be9d82b45c1c53c3
    129 schema:url https://doi.org/10.1007/s11295-013-0606-z
    130 sgo:license sg:explorer/license/
    131 sgo:sdDataset articles
    132 rdf:type schema:ScholarlyArticle
    133 N14c1b3b9fad441d08000444353dcb169 rdf:first N6f9c5db42d5d4ba8a1968f76ecc00955
    134 rdf:rest N8afc2282e7e94a3db6ffa0be8ab3dcc9
    135 N25c5d517808340e482c30c3c03b996e4 rdf:first sg:person.01240054641.93
    136 rdf:rest Nf50e2463820345e6b176a9a708881696
    137 N4638ec598fe04b23b1788bd01e6576b7 schema:issueNumber 4
    138 rdf:type schema:PublicationIssue
    139 N49e82c6f1cbe4d94be9d82b45c1c53c3 schema:name Springer Nature - SN SciGraph project
    140 rdf:type schema:Organization
    141 N5333542f1fe046b5a68ee66e580a33ad schema:name dimensions_id
    142 schema:value pub.1037803135
    143 rdf:type schema:PropertyValue
    144 N6f9c5db42d5d4ba8a1968f76ecc00955 schema:affiliation grid-institutes:None
    145 schema:familyName Polidori
    146 schema:givenName J.
    147 rdf:type schema:Person
    148 N7631f98551124f0f877d5f8d2842a7a5 rdf:first sg:person.07645015733.13
    149 rdf:rest Nfcae50da7bc04d0ca8d2d870d3a4fde5
    150 N8afc2282e7e94a3db6ffa0be8ab3dcc9 rdf:first sg:person.01123526775.27
    151 rdf:rest rdf:nil
    152 N953f0574ee9f4a4fa3f54260965d60a0 rdf:first sg:person.01015124413.32
    153 rdf:rest Nd9285cb0b606481eaf6f06eb4196508d
    154 Nc399e34509d247eeb874055bd94606bf schema:volumeNumber 9
    155 rdf:type schema:PublicationVolume
    156 Nd9285cb0b606481eaf6f06eb4196508d rdf:first Nffe9ac7dfd6a447b9736098327f35541
    157 rdf:rest N14c1b3b9fad441d08000444353dcb169
    158 Ne40c6fc8a0a44f82afdaa71e66b17415 schema:name doi
    159 schema:value 10.1007/s11295-013-0606-z
    160 rdf:type schema:PropertyValue
    161 Ne62de9d654814fe089e77b7aa5aa53d2 rdf:first sg:person.0605571370.10
    162 rdf:rest N7631f98551124f0f877d5f8d2842a7a5
    163 Nf50e2463820345e6b176a9a708881696 rdf:first sg:person.014366426543.18
    164 rdf:rest N953f0574ee9f4a4fa3f54260965d60a0
    165 Nfcae50da7bc04d0ca8d2d870d3a4fde5 rdf:first sg:person.0634461446.62
    166 rdf:rest N25c5d517808340e482c30c3c03b996e4
    167 Nffe9ac7dfd6a447b9736098327f35541 schema:affiliation grid-institutes:None
    168 schema:familyName Nourrisier-Mountou
    169 schema:givenName S.
    170 rdf:type schema:Person
    171 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    172 schema:name Biological Sciences
    173 rdf:type schema:DefinedTerm
    174 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    175 schema:name Genetics
    176 rdf:type schema:DefinedTerm
    177 sg:journal.1036007 schema:issn 1614-2942
    178 1614-2950
    179 schema:name Tree Genetics & Genomes
    180 schema:publisher Springer Nature
    181 rdf:type schema:Periodical
    182 sg:person.01015124413.32 schema:affiliation grid-institutes:None
    183 schema:familyName Gion
    184 schema:givenName J.-M.
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01015124413.32
    186 rdf:type schema:Person
    187 sg:person.01123526775.27 schema:affiliation grid-institutes:None
    188 schema:familyName Bouvet
    189 schema:givenName J.-M.
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123526775.27
    191 rdf:type schema:Person
    192 sg:person.01240054641.93 schema:affiliation grid-institutes:None
    193 schema:familyName Camus-Kulandaivelu
    194 schema:givenName L.
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240054641.93
    196 rdf:type schema:Person
    197 sg:person.014366426543.18 schema:affiliation grid-institutes:None
    198 schema:familyName Chaix
    199 schema:givenName G.
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014366426543.18
    201 rdf:type schema:Person
    202 sg:person.0605571370.10 schema:affiliation grid-institutes:None
    203 schema:familyName Denis
    204 schema:givenName M.
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0605571370.10
    206 rdf:type schema:Person
    207 sg:person.0634461446.62 schema:affiliation grid-institutes:grid.417935.d
    208 schema:familyName Ueno
    209 schema:givenName S.
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634461446.62
    211 rdf:type schema:Person
    212 sg:person.07645015733.13 schema:affiliation grid-institutes:None
    213 schema:familyName Favreau
    214 schema:givenName B.
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07645015733.13
    216 rdf:type schema:Person
    217 sg:pub.10.1007/978-3-642-74069-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041988375
    218 https://doi.org/10.1007/978-3-642-74069-5
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/bf03208881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025245606
    221 https://doi.org/10.1007/bf03208881
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s001220050961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014842871
    224 https://doi.org/10.1007/s001220050961
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s10681-008-9746-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008779662
    227 https://doi.org/10.1007/s10681-008-9746-x
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s11056-009-9172-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036227369
    230 https://doi.org/10.1007/s11056-009-9172-5
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1007/s11295-007-0128-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046026644
    233 https://doi.org/10.1007/s11295-007-0128-7
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s11295-008-0174-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048881116
    236 https://doi.org/10.1007/s11295-008-0174-9
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s11295-008-0179-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029979900
    239 https://doi.org/10.1007/s11295-008-0179-4
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s11295-009-0222-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006308641
    242 https://doi.org/10.1007/s11295-009-0222-0
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/s11295-009-0250-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014931885
    245 https://doi.org/10.1007/s11295-009-0250-9
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1007/s11295-011-0446-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039097214
    248 https://doi.org/10.1007/s11295-011-0446-7
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1007/s11295-012-0491-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010153501
    251 https://doi.org/10.1007/s11295-012-0491-x
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1007/s11295-012-0528-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022357310
    254 https://doi.org/10.1007/s11295-012-0528-1
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1007/s13595-011-0121-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1053088081
    257 https://doi.org/10.1007/s13595-011-0121-z
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1007/s13595-012-0186-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003001226
    260 https://doi.org/10.1007/s13595-012-0186-3
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1023/a:1019817913604 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012591949
    263 https://doi.org/10.1023/a:1019817913604
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1038/hdy.2010.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027785330
    266 https://doi.org/10.1038/hdy.2010.11
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/hdy.2010.168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040877087
    269 https://doi.org/10.1038/hdy.2010.168
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1038/ng1702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035781360
    272 https://doi.org/10.1038/ng1702
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1038/nrg2931 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013788172
    275 https://doi.org/10.1038/nrg2931
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1051/forest/2009064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056968169
    278 https://doi.org/10.1051/forest/2009064
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1186/1471-2105-10-s11-s3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046914480
    281 https://doi.org/10.1186/1471-2105-10-s11-s3
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1186/1471-2164-12-301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023586428
    284 https://doi.org/10.1186/1471-2164-12-301
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1186/gb-2000-1-6-reviews3003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000879123
    287 https://doi.org/10.1186/gb-2000-1-6-reviews3003
    288 rdf:type schema:CreativeWork
    289 grid-institutes:None schema:alternateName CIRAD–AGAP Research Unit 108 “Genetic Improvement and Adaptation of Tropical and Mediterranean Plants”, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France
    290 CRDPI: Research Centre on the Sustainable Productivity of Commercial Plantations, BP 1291, Pointe-Noire, Republic of the Congo
    291 schema:name CIRAD–AGAP Research Unit 108 “Genetic Improvement and Adaptation of Tropical and Mediterranean Plants”, International Campus of Baillarguet TA A-108/C, 34398, Montpellier, Cedex 5, France
    292 CRDPI: Research Centre on the Sustainable Productivity of Commercial Plantations, BP 1291, Pointe-Noire, Republic of the Congo
    293 rdf:type schema:Organization
    294 grid-institutes:grid.417935.d schema:alternateName Forestry and Forest Products Research Institute, 305-8687, Matsunosato, Tsukuba, Ibaraki, Japan
    295 schema:name Forestry and Forest Products Research Institute, 305-8687, Matsunosato, Tsukuba, Ibaraki, Japan
    296 rdf:type schema:Organization
     




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


    ...