A grapevine (Vitis vinifera L.) genetic map integrating the position of 139 expressed genes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-03-18

AUTHORS

Marzia Salmaso, Giulia Malacarne, Michela Troggio, Giorgia Faes, Marco Stefanini, M. Stella Grando, Riccardo Velasco

ABSTRACT

Grapevine molecular maps based on microsatellites, AFLP and RAPD markers are now available. SSRs are essential to allow cross-talks between maps, thus upgrading any growing grapevine maps. In this work, single nucleotide polymorphisms (SNPs) were developed from coding sequences and from unique BAC-end sequences, and nested in a SSR framework map of grapevine. Genes participating to flavonoids metabolism and defence, and signal transduction pathways related genes were also considered. Primer pairs for 351 loci were developed from ESTs present on public databases and screened for polymorphism in the “Merzling” (a complex genotype Freiburg 993–60 derived from multiple crosses also involving wild Vitis species) × Vitis vinifera (cv. Teroldego) cross population. In total 138 SNPs, 108 SSR markers and a phenotypic trait (berry colour) were mapped in 19 major linkage groups of the consensus map. In specific cases, ESTs with putatively related functions mapped near QTLs previously identified for resistance and berry ripening. Genes related to anthocyanin metabolism mapped in different linkage groups. A myb gene, which has been correlated with anthocyanin biosynthesis, cosegregated with berry colour on linkage group 2. The possibility of associating candidate genes to known position of QTL is discussed for this plant. More... »

PAGES

1129-1143

References to SciGraph publications

  • 2005-10-05. Identification and mapping of SNPs from ESTs in sunflower in THEORETICAL AND APPLIED GENETICS
  • 2001-07. A kiwifruit (Actinidia spp.) linkage map based on microsatellites and integrated with AFLP markers in THEORETICAL AND APPLIED GENETICS
  • 2003-11-06. A microsatellite marker based framework linkage map of Vitis vinifera L. in THEORETICAL AND APPLIED GENETICS
  • 2004-06-04. Mapping 245 SSR markers on the Vitis vinifera genome: a tool for grape genetics in THEORETICAL AND APPLIED GENETICS
  • 1993-09. Microsatellite repeats in grapevine reveal DNA polymorphisms when analysed as sequence-tagged sites (STSs) in THEORETICAL AND APPLIED GENETICS
  • 2002-07-16. Myb-related genes of the Kyoho grape (Vitis labruscana) regulate anthocyanin biosynthesis in PLANTA
  • 2007-01-13. Wine grape (Vitis vinifera L.) color associates with allelic variation in the domestication gene VvmybA1 in THEORETICAL AND APPLIED GENETICS
  • 2006-06-24. An integrated SSR map of grapevine based on five mapping populations in THEORETICAL AND APPLIED GENETICS
  • 2005-05-18. Genetic and physical mapping of the grapevine powdery mildew resistance gene, Run1, using a bacterial artificial chromosome library in THEORETICAL AND APPLIED GENETICS
  • 1997-11. Evidence for individual and between-family variability of the recombination rate in cattle in MAMMALIAN GENOME
  • 2004-08-04. A genetic linkage map of grape, utilizing Vitis rupestris and Vitis arizonica in THEORETICAL AND APPLIED GENETICS
  • 2005-04-16. Construction and characterization of BAC libraries from major grapevine cultivars in THEORETICAL AND APPLIED GENETICS
  • 2005-05. Development and characterization of a large set of microsatellite markers in grapevine (Vitis vinifera L.) suitable for multiplex PCR in MOLECULAR BREEDING
  • 2007-03-23. Linkage maps of grapevine displaying the chromosomal locations of 420 microsatellite markers and 82 markers for R-gene candidates in THEORETICAL AND APPLIED GENETICS
  • 2005-01. Isolation of (AC)n-microsatellites in Vitis vinifera L. and analysis of genetic background in grapevines under marker assisted selection in MOLECULAR BREEDING
  • 2006-08-19. Molecular genetics of berry colour variation in table grape in MOLECULAR GENETICS AND GENOMICS
  • 1983-01. Cytogenetics of Lolium perenne in THEORETICAL AND APPLIED GENETICS
  • 1995-05. Hybrid speciation accompanied by genomic reorganization in wild sunflowers in NATURE
  • 2003-10-22. Quantitative trait locus analysis of fungal disease resistance factors on a molecular map of grapevine in THEORETICAL AND APPLIED GENETICS
  • 2000-03. Analysis of SSRs derived from grape ESTs in THEORETICAL AND APPLIED GENETICS
  • 2007-08-26. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla in NATURE
  • 1999-11. PCR-based cloning and segregation analysis of functional gene homologues in Beta vulgaris in MOLECULAR GENETICS AND GENOMICS
  • 2002-12-10. Molecular linkage maps of Vitis vinifera L. and Vitis riparia Mchx in THEORETICAL AND APPLIED GENETICS
  • 2004-12. Genome diversity and gene haplotypes in the grapevine (Vitis vinifera L.), as revealed by single nucleotide polymorphisms in MOLECULAR BREEDING
  • 2005-07-02. QTL analysis for fruit yield components in table grapes (Vitis vinifera) in THEORETICAL AND APPLIED GENETICS
  • 2002-03. Identification of resistance gene analogs linked to a powdery mildew resistance locus in grapevine in THEORETICAL AND APPLIED GENETICS
  • 2006-04-11. Genetic linkage map of the interspecific grape rootstock cross Ramsey (Vitis champinii) × Riparia Gloire (Vitis riparia) in THEORETICAL AND APPLIED GENETICS
  • 2007-11-19. High throughput SNP discovery and genotyping in grapevine (Vitis vinifera L.) by combining a re-sequencing approach and SNPlex technology in BMC GENOMICS
  • 1995-06. Genetic mapping of QTLs controlling vegetative propagation in Eucalyptus grandis and E. urophylla using a pseudo-testcross strategy and RAPD markers in THEORETICAL AND APPLIED GENETICS
  • 2002-05-25. Genetic mapping of grapevine (Vitis vinifera L.) applied to the detection of QTLs for seedlessness and berry weight in THEORETICAL AND APPLIED GENETICS
  • 2005-04-22. Comparative analysis of expressed sequence tags from different organs of Vitis vinifera L. in FUNCTIONAL & INTEGRATIVE GENOMICS
  • 1994-03. Cloning and molecular analysis of structural genes involved in flavonoid and stilbene biosynthesis in grape (Vitis vinifera L.) in PLANT MOLECULAR BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00122-008-0741-3

    DOI

    http://dx.doi.org/10.1007/s00122-008-0741-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1002915786

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/18347774


    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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosome Mapping", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosomes, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Crosses, Genetic", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Expressed Sequence Tags", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genes, Plant", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genetic Linkage", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Minisatellite Repeats", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Phenotype", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Polymorphism, Single Nucleotide", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Quantitative Trait Loci", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Vitis", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Environmental Agronomy and Crop Production, University of Padova, Agripolis, 35020, Legnaro (PD), Italy", 
              "id": "http://www.grid.ac/institutes/grid.5608.b", 
              "name": [
                "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
                "Department of Environmental Agronomy and Crop Production, University of Padova, Agripolis, 35020, Legnaro (PD), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Salmaso", 
            "givenName": "Marzia", 
            "id": "sg:person.01205441166.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205441166.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Malacarne", 
            "givenName": "Giulia", 
            "id": "sg:person.01201662136.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201662136.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Troggio", 
            "givenName": "Michela", 
            "id": "sg:person.0751113127.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751113127.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Istituto Trentino di Cultura-IRST, Via Sommarive 18, 38050, Povo (TN), Italy", 
              "id": "http://www.grid.ac/institutes/grid.11469.3b", 
              "name": [
                "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
                "Istituto Trentino di Cultura-IRST, Via Sommarive 18, 38050, Povo (TN), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Faes", 
            "givenName": "Giorgia", 
            "id": "sg:person.01137524613.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137524613.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Agricultural Resources Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "Agricultural Resources Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stefanini", 
            "givenName": "Marco", 
            "id": "sg:person.01037602547.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037602547.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Grando", 
            "givenName": "M. Stella", 
            "id": "sg:person.01060645564.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060645564.52"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy", 
              "id": "http://www.grid.ac/institutes/grid.424414.3", 
              "name": [
                "Genetics and Molecular Biology Department, Istituto Agrario San Michele all\u2019Adige, via Mach 1, 38010, San Michele a/A (TN), Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Velasco", 
            "givenName": "Riccardo", 
            "id": "sg:person.0702777727.55", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702777727.55"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00122-005-2016-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036832530", 
              "https://doi.org/10.1007/s00122-005-2016-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-005-1924-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027591703", 
              "https://doi.org/10.1007/s00122-005-1924-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-004-0261-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002210556", 
              "https://doi.org/10.1007/s11032-004-0261-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s003359900587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053111874", 
              "https://doi.org/10.1007/s003359900587"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-007-0516-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048123321", 
              "https://doi.org/10.1007/s00122-007-0516-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00272721", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008306757", 
              "https://doi.org/10.1007/bf00272721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00211051", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021518450", 
              "https://doi.org/10.1007/bf00211051"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1445-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049116493", 
              "https://doi.org/10.1007/s00122-003-1445-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-002-0830-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051234758", 
              "https://doi.org/10.1007/s00425-002-0830-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1704-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028610095", 
              "https://doi.org/10.1007/s00122-004-1704-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-003-1488-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023824754", 
              "https://doi.org/10.1007/s00122-003-1488-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-005-0082-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029709134", 
              "https://doi.org/10.1007/s00122-005-0082-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/375313a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035965721", 
              "https://doi.org/10.1038/375313a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0295-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047109541", 
              "https://doi.org/10.1007/s00122-006-0295-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-0951-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037596572", 
              "https://doi.org/10.1007/s00122-002-0951-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-005-2030-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015659557", 
              "https://doi.org/10.1007/s00122-005-2030-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0768-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016761123", 
              "https://doi.org/10.1007/s00122-001-0768-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00222906", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038910706", 
              "https://doi.org/10.1007/bf00222906"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10142-005-0143-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013487823", 
              "https://doi.org/10.1007/s10142-005-0143-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature06148", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040664071", 
              "https://doi.org/10.1038/nature06148"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-004-1728-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005385900", 
              "https://doi.org/10.1007/s00122-004-1728-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-004-7651-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019889385", 
              "https://doi.org/10.1007/s11032-004-7651-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00438-006-0149-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013289844", 
              "https://doi.org/10.1007/s00438-006-0149-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-002-1170-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022265652", 
              "https://doi.org/10.1007/s00122-002-1170-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00029856", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009533356", 
              "https://doi.org/10.1007/bf00029856"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-8-424", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020897820", 
              "https://doi.org/10.1186/1471-2164-8-424"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001220051344", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053329187", 
              "https://doi.org/10.1007/s001220051344"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0472-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022350791", 
              "https://doi.org/10.1007/s00122-006-0472-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11032-004-1362-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016123931", 
              "https://doi.org/10.1007/s11032-004-1362-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-001-0555-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011503475", 
              "https://doi.org/10.1007/s00122-001-0555-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00122-006-0264-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044389575", 
              "https://doi.org/10.1007/s00122-006-0264-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s004380051113", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022666993", 
              "https://doi.org/10.1007/s004380051113"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-03-18", 
        "datePublishedReg": "2008-03-18", 
        "description": "Grapevine molecular maps based on microsatellites, AFLP and RAPD markers are now available. SSRs are essential to allow cross-talks between maps, thus upgrading any growing grapevine maps. In this work, single nucleotide polymorphisms (SNPs) were developed from coding sequences and from unique BAC-end sequences, and nested in a SSR framework map of grapevine. Genes participating to flavonoids metabolism and defence, and signal transduction pathways related genes were also considered. Primer pairs for 351 loci were developed from ESTs present on public databases and screened for polymorphism in the \u201cMerzling\u201d (a complex genotype Freiburg 993\u201360 derived from multiple crosses also involving wild Vitis species)\u00a0\u00d7\u00a0Vitis vinifera (cv. Teroldego) cross population. In total 138 SNPs, 108 SSR markers and a phenotypic trait (berry colour) were mapped in 19 major linkage groups of the consensus map. In specific cases, ESTs with putatively related functions mapped near QTLs previously identified for resistance and berry ripening. Genes related to anthocyanin metabolism mapped in different linkage groups. A myb gene, which has been correlated with anthocyanin biosynthesis, cosegregated with berry colour on linkage group 2. The possibility of associating candidate genes to known position of QTL is discussed for this plant.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00122-008-0741-3", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1135804", 
            "issn": [
              "0040-5752", 
              "1432-2242"
            ], 
            "name": "Theoretical and Applied Genetics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "8", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "116"
          }
        ], 
        "keywords": [
          "single nucleotide polymorphisms", 
          "linkage groups", 
          "positions of QTL", 
          "BAC end sequences", 
          "major linkage groups", 
          "different linkage groups", 
          "linkage group 2", 
          "signal transduction pathways", 
          "MYB genes", 
          "genetic map", 
          "anthocyanin biosynthesis", 
          "phenotypic traits", 
          "cross populations", 
          "SSR markers", 
          "consensus map", 
          "molecular map", 
          "flavonoid metabolism", 
          "transduction pathways", 
          "RAPD markers", 
          "candidate genes", 
          "anthocyanin metabolism", 
          "framework map", 
          "genes", 
          "primer pairs", 
          "berry ripening", 
          "public databases", 
          "nucleotide polymorphisms", 
          "QTL", 
          "ESTs", 
          "berry color", 
          "sequence", 
          "polymorphism", 
          "metabolism", 
          "AFLP", 
          "microsatellites", 
          "biosynthesis", 
          "SSR", 
          "loci", 
          "traits", 
          "plants", 
          "grapevine", 
          "markers", 
          "pathway", 
          "defense", 
          "ripening", 
          "maps", 
          "population", 
          "function", 
          "resistance", 
          "pairs", 
          "position", 
          "color", 
          "group", 
          "database", 
          "possibility", 
          "work", 
          "specific case", 
          "cases", 
          "group 2", 
          "Grapevine molecular maps", 
          "grapevine maps", 
          "unique BAC-end sequences", 
          "SSR framework map", 
          "Merzling", 
          "Vitis vinifera (cv. Teroldego) cross population", 
          "vinifera (cv. Teroldego) cross population", 
          "grapevine (Vitis vinifera L.) genetic map"
        ], 
        "name": "A grapevine (Vitis vinifera L.) genetic map integrating the position of 139 expressed genes", 
        "pagination": "1129-1143", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1002915786"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00122-008-0741-3"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "18347774"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00122-008-0741-3", 
          "https://app.dimensions.ai/details/publication/pub.1002915786"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2021-12-01T19:21", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_470.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00122-008-0741-3"
      }
    ]
     

    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.10.1007/s00122-008-0741-3'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00122-008-0741-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00122-008-0741-3'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00122-008-0741-3'


     

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

    353 TRIPLES      22 PREDICATES      136 URIs      96 LITERALS      18 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00122-008-0741-3 schema:about N0120fc120a8043ef89a641e03dbc2ece
    2 N199d54f16471478abfd05f9331dcfa96
    3 N297c43ffd8c04290bfef75a664c3f597
    4 N2c4877e3e6c54db5af31cdd9ebbc594b
    5 Na478b1a7685a459aa2981448cf20f9b1
    6 Na8cea4f892a141b3afe96ec13d734b6b
    7 Nc2a2c6f19bbf48bda5d72dc1208f2f17
    8 Ndd93659ad94d4691a9cb656f43069a7a
    9 Nddfd8e1271b64d69bd6138900a59406a
    10 Nf1fe3bbad3384259a4e1b58909d9336a
    11 Nf62acbc25f304460a375bb3b39c9dfe2
    12 anzsrc-for:06
    13 anzsrc-for:0604
    14 schema:author Ncd0ec3308a184195b5ae6900b71f0fb5
    15 schema:citation sg:pub.10.1007/bf00029856
    16 sg:pub.10.1007/bf00211051
    17 sg:pub.10.1007/bf00222906
    18 sg:pub.10.1007/bf00272721
    19 sg:pub.10.1007/s00122-001-0555-z
    20 sg:pub.10.1007/s00122-001-0768-1
    21 sg:pub.10.1007/s00122-002-0951-z
    22 sg:pub.10.1007/s00122-002-1170-3
    23 sg:pub.10.1007/s00122-003-1445-3
    24 sg:pub.10.1007/s00122-003-1488-5
    25 sg:pub.10.1007/s00122-004-1704-y
    26 sg:pub.10.1007/s00122-004-1728-3
    27 sg:pub.10.1007/s00122-005-0082-4
    28 sg:pub.10.1007/s00122-005-1924-9
    29 sg:pub.10.1007/s00122-005-2016-6
    30 sg:pub.10.1007/s00122-005-2030-8
    31 sg:pub.10.1007/s00122-006-0264-8
    32 sg:pub.10.1007/s00122-006-0295-1
    33 sg:pub.10.1007/s00122-006-0472-2
    34 sg:pub.10.1007/s00122-007-0516-2
    35 sg:pub.10.1007/s001220051344
    36 sg:pub.10.1007/s003359900587
    37 sg:pub.10.1007/s00425-002-0830-5
    38 sg:pub.10.1007/s00438-006-0149-1
    39 sg:pub.10.1007/s004380051113
    40 sg:pub.10.1007/s10142-005-0143-4
    41 sg:pub.10.1007/s11032-004-0261-z
    42 sg:pub.10.1007/s11032-004-1362-4
    43 sg:pub.10.1007/s11032-004-7651-0
    44 sg:pub.10.1038/375313a0
    45 sg:pub.10.1038/nature06148
    46 sg:pub.10.1186/1471-2164-8-424
    47 schema:datePublished 2008-03-18
    48 schema:datePublishedReg 2008-03-18
    49 schema:description Grapevine molecular maps based on microsatellites, AFLP and RAPD markers are now available. SSRs are essential to allow cross-talks between maps, thus upgrading any growing grapevine maps. In this work, single nucleotide polymorphisms (SNPs) were developed from coding sequences and from unique BAC-end sequences, and nested in a SSR framework map of grapevine. Genes participating to flavonoids metabolism and defence, and signal transduction pathways related genes were also considered. Primer pairs for 351 loci were developed from ESTs present on public databases and screened for polymorphism in the “Merzling” (a complex genotype Freiburg 993–60 derived from multiple crosses also involving wild Vitis species) × Vitis vinifera (cv. Teroldego) cross population. In total 138 SNPs, 108 SSR markers and a phenotypic trait (berry colour) were mapped in 19 major linkage groups of the consensus map. In specific cases, ESTs with putatively related functions mapped near QTLs previously identified for resistance and berry ripening. Genes related to anthocyanin metabolism mapped in different linkage groups. A myb gene, which has been correlated with anthocyanin biosynthesis, cosegregated with berry colour on linkage group 2. The possibility of associating candidate genes to known position of QTL is discussed for this plant.
    50 schema:genre article
    51 schema:inLanguage en
    52 schema:isAccessibleForFree false
    53 schema:isPartOf N62db114fa67c4dbbaf23d5f72eb0d2cf
    54 Nd97b7c5b181e414ba7ab00460489e89e
    55 sg:journal.1135804
    56 schema:keywords AFLP
    57 BAC end sequences
    58 ESTs
    59 Grapevine molecular maps
    60 MYB genes
    61 Merzling
    62 QTL
    63 RAPD markers
    64 SSR
    65 SSR framework map
    66 SSR markers
    67 Vitis vinifera (cv. Teroldego) cross population
    68 anthocyanin biosynthesis
    69 anthocyanin metabolism
    70 berry color
    71 berry ripening
    72 biosynthesis
    73 candidate genes
    74 cases
    75 color
    76 consensus map
    77 cross populations
    78 database
    79 defense
    80 different linkage groups
    81 flavonoid metabolism
    82 framework map
    83 function
    84 genes
    85 genetic map
    86 grapevine
    87 grapevine (Vitis vinifera L.) genetic map
    88 grapevine maps
    89 group
    90 group 2
    91 linkage group 2
    92 linkage groups
    93 loci
    94 major linkage groups
    95 maps
    96 markers
    97 metabolism
    98 microsatellites
    99 molecular map
    100 nucleotide polymorphisms
    101 pairs
    102 pathway
    103 phenotypic traits
    104 plants
    105 polymorphism
    106 population
    107 position
    108 positions of QTL
    109 possibility
    110 primer pairs
    111 public databases
    112 resistance
    113 ripening
    114 sequence
    115 signal transduction pathways
    116 single nucleotide polymorphisms
    117 specific case
    118 traits
    119 transduction pathways
    120 unique BAC-end sequences
    121 vinifera (cv. Teroldego) cross population
    122 work
    123 schema:name A grapevine (Vitis vinifera L.) genetic map integrating the position of 139 expressed genes
    124 schema:pagination 1129-1143
    125 schema:productId N2a6dc4a545f143858073f9c84d4d37c2
    126 N59709bb7020b4f6da86664e65dc2ec43
    127 N794ff66bfff24c37be5bb8407ee13f92
    128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002915786
    129 https://doi.org/10.1007/s00122-008-0741-3
    130 schema:sdDatePublished 2021-12-01T19:21
    131 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    132 schema:sdPublisher N49507f54242a4bbb872c23152cbb90cc
    133 schema:url https://doi.org/10.1007/s00122-008-0741-3
    134 sgo:license sg:explorer/license/
    135 sgo:sdDataset articles
    136 rdf:type schema:ScholarlyArticle
    137 N0120fc120a8043ef89a641e03dbc2ece schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    138 schema:name Polymorphism, Single Nucleotide
    139 rdf:type schema:DefinedTerm
    140 N0af3c50d73ba40979d88af0564612629 rdf:first sg:person.0751113127.97
    141 rdf:rest N7c921bd96f66418dbcc6c99bd4799230
    142 N13f714c645bb4980ba860e92eed44e74 rdf:first sg:person.01037602547.39
    143 rdf:rest N741b58edc4af4ad2b12cc66122f7f437
    144 N199d54f16471478abfd05f9331dcfa96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Chromosomes, Plant
    146 rdf:type schema:DefinedTerm
    147 N297c43ffd8c04290bfef75a664c3f597 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Vitis
    149 rdf:type schema:DefinedTerm
    150 N2a6dc4a545f143858073f9c84d4d37c2 schema:name doi
    151 schema:value 10.1007/s00122-008-0741-3
    152 rdf:type schema:PropertyValue
    153 N2c4877e3e6c54db5af31cdd9ebbc594b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Genes, Plant
    155 rdf:type schema:DefinedTerm
    156 N49507f54242a4bbb872c23152cbb90cc schema:name Springer Nature - SN SciGraph project
    157 rdf:type schema:Organization
    158 N59709bb7020b4f6da86664e65dc2ec43 schema:name pubmed_id
    159 schema:value 18347774
    160 rdf:type schema:PropertyValue
    161 N5a7453df89bf4ab6a36f8c38ebdf54fa rdf:first sg:person.0702777727.55
    162 rdf:rest rdf:nil
    163 N62db114fa67c4dbbaf23d5f72eb0d2cf schema:volumeNumber 116
    164 rdf:type schema:PublicationVolume
    165 N741b58edc4af4ad2b12cc66122f7f437 rdf:first sg:person.01060645564.52
    166 rdf:rest N5a7453df89bf4ab6a36f8c38ebdf54fa
    167 N794ff66bfff24c37be5bb8407ee13f92 schema:name dimensions_id
    168 schema:value pub.1002915786
    169 rdf:type schema:PropertyValue
    170 N7c921bd96f66418dbcc6c99bd4799230 rdf:first sg:person.01137524613.13
    171 rdf:rest N13f714c645bb4980ba860e92eed44e74
    172 Na478b1a7685a459aa2981448cf20f9b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Genetic Linkage
    174 rdf:type schema:DefinedTerm
    175 Na8cea4f892a141b3afe96ec13d734b6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Phenotype
    177 rdf:type schema:DefinedTerm
    178 Nbd92be20b248414fbdd4d939a1542832 rdf:first sg:person.01201662136.49
    179 rdf:rest N0af3c50d73ba40979d88af0564612629
    180 Nc2a2c6f19bbf48bda5d72dc1208f2f17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    181 schema:name Chromosome Mapping
    182 rdf:type schema:DefinedTerm
    183 Ncd0ec3308a184195b5ae6900b71f0fb5 rdf:first sg:person.01205441166.06
    184 rdf:rest Nbd92be20b248414fbdd4d939a1542832
    185 Nd97b7c5b181e414ba7ab00460489e89e schema:issueNumber 8
    186 rdf:type schema:PublicationIssue
    187 Ndd93659ad94d4691a9cb656f43069a7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    188 schema:name Crosses, Genetic
    189 rdf:type schema:DefinedTerm
    190 Nddfd8e1271b64d69bd6138900a59406a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    191 schema:name Quantitative Trait Loci
    192 rdf:type schema:DefinedTerm
    193 Nf1fe3bbad3384259a4e1b58909d9336a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Minisatellite Repeats
    195 rdf:type schema:DefinedTerm
    196 Nf62acbc25f304460a375bb3b39c9dfe2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Expressed Sequence Tags
    198 rdf:type schema:DefinedTerm
    199 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
    200 schema:name Biological Sciences
    201 rdf:type schema:DefinedTerm
    202 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
    203 schema:name Genetics
    204 rdf:type schema:DefinedTerm
    205 sg:journal.1135804 schema:issn 0040-5752
    206 1432-2242
    207 schema:name Theoretical and Applied Genetics
    208 schema:publisher Springer Nature
    209 rdf:type schema:Periodical
    210 sg:person.01037602547.39 schema:affiliation grid-institutes:grid.424414.3
    211 schema:familyName Stefanini
    212 schema:givenName Marco
    213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037602547.39
    214 rdf:type schema:Person
    215 sg:person.01060645564.52 schema:affiliation grid-institutes:grid.424414.3
    216 schema:familyName Grando
    217 schema:givenName M. Stella
    218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060645564.52
    219 rdf:type schema:Person
    220 sg:person.01137524613.13 schema:affiliation grid-institutes:grid.11469.3b
    221 schema:familyName Faes
    222 schema:givenName Giorgia
    223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137524613.13
    224 rdf:type schema:Person
    225 sg:person.01201662136.49 schema:affiliation grid-institutes:grid.424414.3
    226 schema:familyName Malacarne
    227 schema:givenName Giulia
    228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201662136.49
    229 rdf:type schema:Person
    230 sg:person.01205441166.06 schema:affiliation grid-institutes:grid.5608.b
    231 schema:familyName Salmaso
    232 schema:givenName Marzia
    233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205441166.06
    234 rdf:type schema:Person
    235 sg:person.0702777727.55 schema:affiliation grid-institutes:grid.424414.3
    236 schema:familyName Velasco
    237 schema:givenName Riccardo
    238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0702777727.55
    239 rdf:type schema:Person
    240 sg:person.0751113127.97 schema:affiliation grid-institutes:grid.424414.3
    241 schema:familyName Troggio
    242 schema:givenName Michela
    243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751113127.97
    244 rdf:type schema:Person
    245 sg:pub.10.1007/bf00029856 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009533356
    246 https://doi.org/10.1007/bf00029856
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1007/bf00211051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021518450
    249 https://doi.org/10.1007/bf00211051
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1007/bf00222906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038910706
    252 https://doi.org/10.1007/bf00222906
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1007/bf00272721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008306757
    255 https://doi.org/10.1007/bf00272721
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1007/s00122-001-0555-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1011503475
    258 https://doi.org/10.1007/s00122-001-0555-z
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1007/s00122-001-0768-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016761123
    261 https://doi.org/10.1007/s00122-001-0768-1
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1007/s00122-002-0951-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037596572
    264 https://doi.org/10.1007/s00122-002-0951-z
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1007/s00122-002-1170-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022265652
    267 https://doi.org/10.1007/s00122-002-1170-3
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1007/s00122-003-1445-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049116493
    270 https://doi.org/10.1007/s00122-003-1445-3
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1007/s00122-003-1488-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023824754
    273 https://doi.org/10.1007/s00122-003-1488-5
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1007/s00122-004-1704-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1028610095
    276 https://doi.org/10.1007/s00122-004-1704-y
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1007/s00122-004-1728-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005385900
    279 https://doi.org/10.1007/s00122-004-1728-3
    280 rdf:type schema:CreativeWork
    281 sg:pub.10.1007/s00122-005-0082-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029709134
    282 https://doi.org/10.1007/s00122-005-0082-4
    283 rdf:type schema:CreativeWork
    284 sg:pub.10.1007/s00122-005-1924-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027591703
    285 https://doi.org/10.1007/s00122-005-1924-9
    286 rdf:type schema:CreativeWork
    287 sg:pub.10.1007/s00122-005-2016-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036832530
    288 https://doi.org/10.1007/s00122-005-2016-6
    289 rdf:type schema:CreativeWork
    290 sg:pub.10.1007/s00122-005-2030-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015659557
    291 https://doi.org/10.1007/s00122-005-2030-8
    292 rdf:type schema:CreativeWork
    293 sg:pub.10.1007/s00122-006-0264-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044389575
    294 https://doi.org/10.1007/s00122-006-0264-8
    295 rdf:type schema:CreativeWork
    296 sg:pub.10.1007/s00122-006-0295-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047109541
    297 https://doi.org/10.1007/s00122-006-0295-1
    298 rdf:type schema:CreativeWork
    299 sg:pub.10.1007/s00122-006-0472-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022350791
    300 https://doi.org/10.1007/s00122-006-0472-2
    301 rdf:type schema:CreativeWork
    302 sg:pub.10.1007/s00122-007-0516-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048123321
    303 https://doi.org/10.1007/s00122-007-0516-2
    304 rdf:type schema:CreativeWork
    305 sg:pub.10.1007/s001220051344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053329187
    306 https://doi.org/10.1007/s001220051344
    307 rdf:type schema:CreativeWork
    308 sg:pub.10.1007/s003359900587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053111874
    309 https://doi.org/10.1007/s003359900587
    310 rdf:type schema:CreativeWork
    311 sg:pub.10.1007/s00425-002-0830-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051234758
    312 https://doi.org/10.1007/s00425-002-0830-5
    313 rdf:type schema:CreativeWork
    314 sg:pub.10.1007/s00438-006-0149-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013289844
    315 https://doi.org/10.1007/s00438-006-0149-1
    316 rdf:type schema:CreativeWork
    317 sg:pub.10.1007/s004380051113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022666993
    318 https://doi.org/10.1007/s004380051113
    319 rdf:type schema:CreativeWork
    320 sg:pub.10.1007/s10142-005-0143-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013487823
    321 https://doi.org/10.1007/s10142-005-0143-4
    322 rdf:type schema:CreativeWork
    323 sg:pub.10.1007/s11032-004-0261-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1002210556
    324 https://doi.org/10.1007/s11032-004-0261-z
    325 rdf:type schema:CreativeWork
    326 sg:pub.10.1007/s11032-004-1362-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016123931
    327 https://doi.org/10.1007/s11032-004-1362-4
    328 rdf:type schema:CreativeWork
    329 sg:pub.10.1007/s11032-004-7651-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019889385
    330 https://doi.org/10.1007/s11032-004-7651-0
    331 rdf:type schema:CreativeWork
    332 sg:pub.10.1038/375313a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035965721
    333 https://doi.org/10.1038/375313a0
    334 rdf:type schema:CreativeWork
    335 sg:pub.10.1038/nature06148 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040664071
    336 https://doi.org/10.1038/nature06148
    337 rdf:type schema:CreativeWork
    338 sg:pub.10.1186/1471-2164-8-424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020897820
    339 https://doi.org/10.1186/1471-2164-8-424
    340 rdf:type schema:CreativeWork
    341 grid-institutes:grid.11469.3b schema:alternateName Istituto Trentino di Cultura-IRST, Via Sommarive 18, 38050, Povo (TN), Italy
    342 schema:name Genetics and Molecular Biology Department, Istituto Agrario San Michele all’Adige, via Mach 1, 38010, San Michele a/A (TN), Italy
    343 Istituto Trentino di Cultura-IRST, Via Sommarive 18, 38050, Povo (TN), Italy
    344 rdf:type schema:Organization
    345 grid-institutes:grid.424414.3 schema:alternateName Agricultural Resources Department, Istituto Agrario San Michele all’Adige, via Mach 1, 38010, San Michele a/A (TN), Italy
    346 Genetics and Molecular Biology Department, Istituto Agrario San Michele all’Adige, via Mach 1, 38010, San Michele a/A (TN), Italy
    347 schema:name Agricultural Resources Department, Istituto Agrario San Michele all’Adige, via Mach 1, 38010, San Michele a/A (TN), Italy
    348 Genetics and Molecular Biology Department, Istituto Agrario San Michele all’Adige, via Mach 1, 38010, San Michele a/A (TN), Italy
    349 rdf:type schema:Organization
    350 grid-institutes:grid.5608.b schema:alternateName Department of Environmental Agronomy and Crop Production, University of Padova, Agripolis, 35020, Legnaro (PD), Italy
    351 schema:name Department of Environmental Agronomy and Crop Production, University of Padova, Agripolis, 35020, Legnaro (PD), Italy
    352 Genetics and Molecular Biology Department, Istituto Agrario San Michele all’Adige, via Mach 1, 38010, San Michele a/A (TN), Italy
    353 rdf:type schema:Organization
     




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


    ...