Reducing sampling bias in molecular studies of grapevine fruit ripening: transcriptomic assessment of the density sorting method View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-03

AUTHORS

Pablo Carbonell-Bejerano, Virginia Rodríguez, Silvia Hernáiz, Carolina Royo, Silvia Dal Santo, Mario Pezzotti, José Miguel Martínez-Zapater

ABSTRACT

The interplay between environmental and genetic factors conditions the fruit ripening program in plants. Transcriptome analysis of grapevine fruits can help understanding these interactions to consciously cope with conditions leading to detrimental effects for viticultural purposes. However, considering the grapevine characteristic ripening asynchrony, which can be intensified by contrasting conditions, accurate grape sampling may be essential for molecular comparisons. In this study, berry density sorting according to floatability in NaCl solutions was transcriptomically assessed as a grape ripening staging strategy. The transcriptome was compared between three density classes collected near commercial maturity using grapevine whole-genome NimbleGen microarrays. Expression profiles clearly related with ripening progression were detected in a density series simultaneously collected from a vineyard of Albariño. By contrast, considerable differences were detected when the same density series was sampled on two different dates from the same vineyard of Tempranillo. Functional analysis indicated that environmental differences between both sampling moments determined most of these expression differences. Ripening degree-dependent responses to the environment were also detected. Finally, the effect of the sorting procedures on the grape transcriptome showed negligible when it was directly tested. Altogether, these findings evidence the convenience of homogenizing the developmental stage and the sampling time conditions for transcriptome comparisons. Berry density sorting proved useful to this end, although this method could be limited when berry sugar concentration increases through dehydration. More... »

PAGES

109-129

References to SciGraph publications

  • 2012-12. Comparative analysis of grapevine whole-genome gene predictions, functional annotation, categorization and integration of the predicted gene sequences in BMC RESEARCH NOTES
  • 2006-12. An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development in BMC PLANT BIOLOGY
  • 2008-10. Gene expression analyses in individual grape (Vitis vinifera L.) berries during ripening initiation reveal that pigmentation intensity is a valid indicator of developmental staging within the cluster in PLANT MOLECULAR BIOLOGY
  • 2005-11. Isogene specific oligo arrays reveal multifaceted changes in gene expression during grape berry (Vitis vinifera L.) development in PLANTA
  • 2007-12. Water deficits accelerate ripening and induce changes in gene expression regulating flavonoid biosynthesis in grape berries in PLANTA
  • 2013-06. The plasticity of the grapevine berry transcriptome in GENOME BIOLOGY
  • 2007-12. Tissue-specific mRNA expression profiling in grape berry tissues in BMC GENOMICS
  • 2007-12. Transcriptomic and metabolite analyses of Cabernet Sauvignon grape berry development in BMC GENOMICS
  • 2011-12. Berry skin development in Norton grape: Distinct patterns of transcriptional regulation and flavonoid biosynthesis in BMC PLANT BIOLOGY
  • 2014-12. Circadian oscillatory transcriptional programs in grapevine ripening fruits in BMC PLANT BIOLOGY
  • 2013-12. Selective defoliation affects plant growth, fruit transcriptional ripening program and flavonoid metabolism in grapevine in BMC PLANT BIOLOGY
  • 2014-12. Transcriptomic analysis of the late stages of grapevine (Vitis vinifera cv. Cabernet Sauvignon) berry ripening reveals significant induction of ethylene signaling and flavor pathways in the skin in BMC PLANT BIOLOGY
  • 2014-12. Metabolite and transcript profiling of berry skin during fruit development elucidates differential regulation between Cabernet Sauvignon and Shiraz cultivars at branching points in the polyphenol pathway in BMC PLANT BIOLOGY
  • 2015-12. Water limitation and rootstock genotype interact to alter grape berry metabolism through transcriptome reprogramming in HORTICULTURE RESEARCH
  • 2009-07. Histone acetyltransferase GCN5 interferes with the miRNA pathway in Arabidopsis in CELL RESEARCH
  • 2009-12. Water deficit alters differentially metabolic pathways affecting important flavor and quality traits in grape berries of Cabernet Sauvignon and Chardonnay in BMC GENOMICS
  • 2011-12. Increasing the source/sink ratio in Vitis vinifera (cv Sangiovese) induces extensive transcriptome reprogramming and modifies berry ripening in BMC GENOMICS
  • 2012-12. Grape berry ripening delay induced by a pre-véraison NAA treatment is paralleled by a shift in the expression pattern of auxin- and ethylene-related genes in BMC PLANT BIOLOGY
  • 2007-12. Genome-wide transcriptional analysis of grapevine berry ripening reveals a set of genes similarly modulated during three seasons and the occurrence of an oxidative burst at vèraison in BMC GENOMICS
  • 2014-12. Day and night heat stress trigger different transcriptomic responses in green and ripening grapevine (vitis vinifera) fruit in BMC PLANT BIOLOGY
  • 2012-12. Transcriptome analysis at four developmental stages of grape berry (Vitis vinifera cv. Shiraz) provides insights into regulated and coordinated gene expression in BMC GENOMICS
  • 2014-12. Solar ultraviolet radiation is necessary to enhance grapevine fruit ripening transcriptional and phenolic responses in BMC PLANT BIOLOGY
  • 2011-12. Transcript and metabolite analysis in Trincadeira cultivar reveals novel information regarding the dynamics of grape ripening in BMC PLANT BIOLOGY
  • 2011-12. Transcriptional analysis of late ripening stages of grapevine berry in BMC PLANT BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s40626-016-0059-5

    DOI

    http://dx.doi.org/10.1007/s40626-016-0059-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023673848


    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/2008/0706", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Horticultural Production", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/07", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Agricultural and Veterinary Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Instituto de Ciencias de la Vid y del Vino", 
              "id": "https://www.grid.ac/institutes/grid.481584.4", 
              "name": [
                "Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Cient\u00edficas CSIC-Universidad de La Rioja-Gobierno de La Rioja, Carretera de Burgos km 6 (LO-20-salida 13), 26007, Logro\u00f1o, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Carbonell-Bejerano", 
            "givenName": "Pablo", 
            "id": "sg:person.01273407703.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273407703.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "National Center for Biotechnology", 
              "id": "https://www.grid.ac/institutes/grid.428469.5", 
              "name": [
                "Departamento de Gen\u00e9tica Molecular de Plantas, Centro Nacional de Biotecnolog\u00eda (CNB), Consejo Superior de Investigaciones Cient\u00edficas (CSIC), Calle Darwin s/n, 28049, Madrid, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rodr\u00edguez", 
            "givenName": "Virginia", 
            "id": "sg:person.0606774506.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606774506.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Instituto de Ciencias de la Vid y del Vino", 
              "id": "https://www.grid.ac/institutes/grid.481584.4", 
              "name": [
                "Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Cient\u00edficas CSIC-Universidad de La Rioja-Gobierno de La Rioja, Carretera de Burgos km 6 (LO-20-salida 13), 26007, Logro\u00f1o, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hern\u00e1iz", 
            "givenName": "Silvia", 
            "id": "sg:person.01010420124.60", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010420124.60"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Instituto de Ciencias de la Vid y del Vino", 
              "id": "https://www.grid.ac/institutes/grid.481584.4", 
              "name": [
                "Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Cient\u00edficas CSIC-Universidad de La Rioja-Gobierno de La Rioja, Carretera de Burgos km 6 (LO-20-salida 13), 26007, Logro\u00f1o, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Royo", 
            "givenName": "Carolina", 
            "id": "sg:person.01370703663.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370703663.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Verona", 
              "id": "https://www.grid.ac/institutes/grid.5611.3", 
              "name": [
                "Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dal Santo", 
            "givenName": "Silvia", 
            "id": "sg:person.01173047210.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173047210.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Verona", 
              "id": "https://www.grid.ac/institutes/grid.5611.3", 
              "name": [
                "Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pezzotti", 
            "givenName": "Mario", 
            "id": "sg:person.0633172056.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633172056.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Instituto de Ciencias de la Vid y del Vino", 
              "id": "https://www.grid.ac/institutes/grid.481584.4", 
              "name": [
                "Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Cient\u00edficas CSIC-Universidad de La Rioja-Gobierno de La Rioja, Carretera de Burgos km 6 (LO-20-salida 13), 26007, Logro\u00f1o, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mart\u00ednez-Zapater", 
            "givenName": "Jos\u00e9 Miguel", 
            "id": "sg:person.01167664412.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167664412.45"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1093/jxb/ert395", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001077103"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btg455", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001761938"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2011.00135.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003544273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/pcp/pct071", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004046200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-8-187", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005480817", 
              "https://doi.org/10.1186/1471-2164-8-187"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1756-0500-5-213", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008654408", 
              "https://doi.org/10.1186/1756-0500-5-213"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foodchem.2014.10.033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008850843"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-14-78", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009155415", 
              "https://doi.org/10.1186/1471-2229-14-78"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-005-0017-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009172968", 
              "https://doi.org/10.1007/s00425-005-0017-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-005-0017-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009172968", 
              "https://doi.org/10.1007/s00425-005-0017-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/eru329", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011427263"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkq388", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011629374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.112.100230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011785739"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-14-183", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013331552", 
              "https://doi.org/10.1186/1471-2229-14-183"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0088844", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014478712"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-14-108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014614491", 
              "https://doi.org/10.1186/1471-2229-14-108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0060422", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014976043"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2000.tb00171.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016724603"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-11-165", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016945564", 
              "https://doi.org/10.1186/1471-2229-11-165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-11-149", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020234701", 
              "https://doi.org/10.1186/1471-2229-11-149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2010.00110.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020403374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/1467-9868.00293", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021007117"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-6-27", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021394474", 
              "https://doi.org/10.1186/1471-2229-6-27"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.aca.2009.10.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022499289"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/molecules15129057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023549829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3390/molecules15129057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023549829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2012.00194.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024538414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/cr.2009.59", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025732303", 
              "https://doi.org/10.1038/cr.2009.59"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2007.tb00236.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027714807"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2012.00180.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028358745"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl056", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029813401"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2621.2012.03164.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029999466"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-12-185", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030246256", 
              "https://doi.org/10.1186/1471-2229-12-185"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/hortres.2015.12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030261457", 
              "https://doi.org/10.1038/hortres.2015.12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-13-30", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031198645", 
              "https://doi.org/10.1186/1471-2229-13-30"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1105/tpc.113.117127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031714447"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/ajgw.12033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032032888"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.plantsci.2015.04.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032048590"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2013-14-6-r54", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034108943", 
              "https://doi.org/10.1186/gb-2013-14-6-r54"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-8-428", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035062199", 
              "https://doi.org/10.1186/1471-2164-8-428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.plaphy.2014.08.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036218373"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00425-007-0598-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037077480", 
              "https://doi.org/10.1007/s00425-007-0598-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-8-429", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037546523", 
              "https://doi.org/10.1186/1471-2164-8-429"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1104/pp.106.093203", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038615213"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-13-691", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038778514", 
              "https://doi.org/10.1186/1471-2164-13-691"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.foodres.2010.05.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040502745"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkm1130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041419737"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-014-0370-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042199158", 
              "https://doi.org/10.1186/s12870-014-0370-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-014-0370-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042199158", 
              "https://doi.org/10.1186/s12870-014-0370-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2009.00077.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043667498"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1755-0238.2009.00077.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043667498"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/erm055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043788344"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/ers396", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043886304"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0039547", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045327308"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-10-212", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046065360", 
              "https://doi.org/10.1186/1471-2164-10-212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/ajgw.12152", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047538880"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-014-0188-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048142066", 
              "https://doi.org/10.1186/s12870-014-0188-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12870-014-0188-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048142066", 
              "https://doi.org/10.1186/s12870-014-0188-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jxb/eru517", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048239147"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1091/mbc.e04-10-0890", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048438774"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2229-11-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050507091", 
              "https://doi.org/10.1186/1471-2229-11-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5344/ajev.2011.10116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051610082"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-12-631", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051887824", 
              "https://doi.org/10.1186/1471-2164-12-631"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11103-008-9371-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053691206", 
              "https://doi.org/10.1007/s11103-008-9371-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf061467h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055905438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf061467h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055905438"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf201318x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055909798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf201318x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055909798"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf3020766", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055911499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jf405099n", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055913702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2202/1544-6115.1027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1069289261"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4141/cjps2013-397", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072255232"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5344/ajev.2012.11069", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072778724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5344/ajev.2014.13062", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072778845"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-03", 
        "datePublishedReg": "2016-03-01", 
        "description": "The interplay between environmental and genetic factors conditions the fruit ripening program in plants. Transcriptome analysis of grapevine fruits can help understanding these interactions to consciously cope with conditions leading to detrimental effects for viticultural purposes. However, considering the grapevine characteristic ripening asynchrony, which can be intensified by contrasting conditions, accurate grape sampling may be essential for molecular comparisons. In this study, berry density sorting according to floatability in NaCl solutions was transcriptomically assessed as a grape ripening staging strategy. The transcriptome was compared between three density classes collected near commercial maturity using grapevine whole-genome NimbleGen microarrays. Expression profiles clearly related with ripening progression were detected in a density series simultaneously collected from a vineyard of Albari\u00f1o. By contrast, considerable differences were detected when the same density series was sampled on two different dates from the same vineyard of Tempranillo. Functional analysis indicated that environmental differences between both sampling moments determined most of these expression differences. Ripening degree-dependent responses to the environment were also detected. Finally, the effect of the sorting procedures on the grape transcriptome showed negligible when it was directly tested. Altogether, these findings evidence the convenience of homogenizing the developmental stage and the sampling time conditions for transcriptome comparisons. Berry density sorting proved useful to this end, although this method could be limited when berry sugar concentration increases through dehydration.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s40626-016-0059-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1136828", 
            "issn": [
              "2197-0025"
            ], 
            "name": "Theoretical and Experimental Plant Physiology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "28"
          }
        ], 
        "name": "Reducing sampling bias in molecular studies of grapevine fruit ripening: transcriptomic assessment of the density sorting method", 
        "pagination": "109-129", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "70c9f8e1ff36e9ce2c8cb362e554fae3c4dea66aea3adf9652771c93a5f49b41"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s40626-016-0059-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1023673848"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s40626-016-0059-5", 
          "https://app.dimensions.ai/details/publication/pub.1023673848"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T18:25", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8675_00000536.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs40626-016-0059-5"
      }
    ]
     

    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/s40626-016-0059-5'

    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/s40626-016-0059-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40626-016-0059-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40626-016-0059-5'


     

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

    333 TRIPLES      21 PREDICATES      94 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s40626-016-0059-5 schema:about anzsrc-for:07
    2 anzsrc-for:0706
    3 schema:author N83fe55b99f8d4cf390a3ab4f4b32d3a2
    4 schema:citation sg:pub.10.1007/s00425-005-0017-y
    5 sg:pub.10.1007/s00425-007-0598-8
    6 sg:pub.10.1007/s11103-008-9371-z
    7 sg:pub.10.1038/cr.2009.59
    8 sg:pub.10.1038/hortres.2015.12
    9 sg:pub.10.1186/1471-2164-10-212
    10 sg:pub.10.1186/1471-2164-12-631
    11 sg:pub.10.1186/1471-2164-13-691
    12 sg:pub.10.1186/1471-2164-8-187
    13 sg:pub.10.1186/1471-2164-8-428
    14 sg:pub.10.1186/1471-2164-8-429
    15 sg:pub.10.1186/1471-2229-11-149
    16 sg:pub.10.1186/1471-2229-11-165
    17 sg:pub.10.1186/1471-2229-11-7
    18 sg:pub.10.1186/1471-2229-12-185
    19 sg:pub.10.1186/1471-2229-13-30
    20 sg:pub.10.1186/1471-2229-14-108
    21 sg:pub.10.1186/1471-2229-14-183
    22 sg:pub.10.1186/1471-2229-14-78
    23 sg:pub.10.1186/1471-2229-6-27
    24 sg:pub.10.1186/1756-0500-5-213
    25 sg:pub.10.1186/gb-2013-14-6-r54
    26 sg:pub.10.1186/s12870-014-0188-4
    27 sg:pub.10.1186/s12870-014-0370-8
    28 https://doi.org/10.1016/j.aca.2009.10.017
    29 https://doi.org/10.1016/j.foodchem.2014.10.033
    30 https://doi.org/10.1016/j.foodres.2010.05.001
    31 https://doi.org/10.1016/j.plantsci.2015.04.001
    32 https://doi.org/10.1016/j.plaphy.2014.08.026
    33 https://doi.org/10.1021/jf061467h
    34 https://doi.org/10.1021/jf201318x
    35 https://doi.org/10.1021/jf3020766
    36 https://doi.org/10.1021/jf405099n
    37 https://doi.org/10.1091/mbc.e04-10-0890
    38 https://doi.org/10.1093/bioinformatics/btg455
    39 https://doi.org/10.1093/bioinformatics/btl056
    40 https://doi.org/10.1093/jxb/erm055
    41 https://doi.org/10.1093/jxb/ers396
    42 https://doi.org/10.1093/jxb/ert395
    43 https://doi.org/10.1093/jxb/eru329
    44 https://doi.org/10.1093/jxb/eru517
    45 https://doi.org/10.1093/nar/gkm1130
    46 https://doi.org/10.1093/nar/gkq388
    47 https://doi.org/10.1093/pcp/pct071
    48 https://doi.org/10.1104/pp.106.093203
    49 https://doi.org/10.1105/tpc.112.100230
    50 https://doi.org/10.1105/tpc.113.117127
    51 https://doi.org/10.1111/1467-9868.00293
    52 https://doi.org/10.1111/ajgw.12033
    53 https://doi.org/10.1111/ajgw.12152
    54 https://doi.org/10.1111/j.1365-2621.2012.03164.x
    55 https://doi.org/10.1111/j.1755-0238.2000.tb00171.x
    56 https://doi.org/10.1111/j.1755-0238.2007.tb00236.x
    57 https://doi.org/10.1111/j.1755-0238.2009.00077.x
    58 https://doi.org/10.1111/j.1755-0238.2010.00110.x
    59 https://doi.org/10.1111/j.1755-0238.2011.00135.x
    60 https://doi.org/10.1111/j.1755-0238.2012.00180.x
    61 https://doi.org/10.1111/j.1755-0238.2012.00194.x
    62 https://doi.org/10.1371/journal.pone.0039547
    63 https://doi.org/10.1371/journal.pone.0060422
    64 https://doi.org/10.1371/journal.pone.0088844
    65 https://doi.org/10.2202/1544-6115.1027
    66 https://doi.org/10.3390/molecules15129057
    67 https://doi.org/10.4141/cjps2013-397
    68 https://doi.org/10.5344/ajev.2011.10116
    69 https://doi.org/10.5344/ajev.2012.11069
    70 https://doi.org/10.5344/ajev.2014.13062
    71 schema:datePublished 2016-03
    72 schema:datePublishedReg 2016-03-01
    73 schema:description The interplay between environmental and genetic factors conditions the fruit ripening program in plants. Transcriptome analysis of grapevine fruits can help understanding these interactions to consciously cope with conditions leading to detrimental effects for viticultural purposes. However, considering the grapevine characteristic ripening asynchrony, which can be intensified by contrasting conditions, accurate grape sampling may be essential for molecular comparisons. In this study, berry density sorting according to floatability in NaCl solutions was transcriptomically assessed as a grape ripening staging strategy. The transcriptome was compared between three density classes collected near commercial maturity using grapevine whole-genome NimbleGen microarrays. Expression profiles clearly related with ripening progression were detected in a density series simultaneously collected from a vineyard of Albariño. By contrast, considerable differences were detected when the same density series was sampled on two different dates from the same vineyard of Tempranillo. Functional analysis indicated that environmental differences between both sampling moments determined most of these expression differences. Ripening degree-dependent responses to the environment were also detected. Finally, the effect of the sorting procedures on the grape transcriptome showed negligible when it was directly tested. Altogether, these findings evidence the convenience of homogenizing the developmental stage and the sampling time conditions for transcriptome comparisons. Berry density sorting proved useful to this end, although this method could be limited when berry sugar concentration increases through dehydration.
    74 schema:genre research_article
    75 schema:inLanguage en
    76 schema:isAccessibleForFree true
    77 schema:isPartOf N15578a81353048dbbf84042ca41ad984
    78 Nbf612e4202884b52a14fdca6f11ac7b3
    79 sg:journal.1136828
    80 schema:name Reducing sampling bias in molecular studies of grapevine fruit ripening: transcriptomic assessment of the density sorting method
    81 schema:pagination 109-129
    82 schema:productId N5e83a7c4b6394747a1406d6c299bd01c
    83 N86b5e799501c4e5dae646860a739138e
    84 Ndd7456d8bdee443a8d42661118d53b8e
    85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023673848
    86 https://doi.org/10.1007/s40626-016-0059-5
    87 schema:sdDatePublished 2019-04-10T18:25
    88 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    89 schema:sdPublisher N798dcd7e26f54bf4891b56bb0bb9c784
    90 schema:url http://link.springer.com/10.1007%2Fs40626-016-0059-5
    91 sgo:license sg:explorer/license/
    92 sgo:sdDataset articles
    93 rdf:type schema:ScholarlyArticle
    94 N0e0bdd5478184c9c917a0980916d63cc rdf:first sg:person.01370703663.32
    95 rdf:rest N182b67dd9c6048a0a22509b19bf5a4c1
    96 N15578a81353048dbbf84042ca41ad984 schema:issueNumber 1
    97 rdf:type schema:PublicationIssue
    98 N182b67dd9c6048a0a22509b19bf5a4c1 rdf:first sg:person.01173047210.06
    99 rdf:rest Nebdc87884545420a8b3c2e8e8886ba83
    100 N1868459fcd2849cf9c33cefa3d78f28b rdf:first sg:person.0606774506.84
    101 rdf:rest N501727497d10447c879a685945b6eb24
    102 N501727497d10447c879a685945b6eb24 rdf:first sg:person.01010420124.60
    103 rdf:rest N0e0bdd5478184c9c917a0980916d63cc
    104 N5e83a7c4b6394747a1406d6c299bd01c schema:name readcube_id
    105 schema:value 70c9f8e1ff36e9ce2c8cb362e554fae3c4dea66aea3adf9652771c93a5f49b41
    106 rdf:type schema:PropertyValue
    107 N798dcd7e26f54bf4891b56bb0bb9c784 schema:name Springer Nature - SN SciGraph project
    108 rdf:type schema:Organization
    109 N83fe55b99f8d4cf390a3ab4f4b32d3a2 rdf:first sg:person.01273407703.22
    110 rdf:rest N1868459fcd2849cf9c33cefa3d78f28b
    111 N86b5e799501c4e5dae646860a739138e schema:name doi
    112 schema:value 10.1007/s40626-016-0059-5
    113 rdf:type schema:PropertyValue
    114 Na072d4537fc54821a6382709a5732ba0 rdf:first sg:person.01167664412.45
    115 rdf:rest rdf:nil
    116 Nbf612e4202884b52a14fdca6f11ac7b3 schema:volumeNumber 28
    117 rdf:type schema:PublicationVolume
    118 Ndd7456d8bdee443a8d42661118d53b8e schema:name dimensions_id
    119 schema:value pub.1023673848
    120 rdf:type schema:PropertyValue
    121 Nebdc87884545420a8b3c2e8e8886ba83 rdf:first sg:person.0633172056.13
    122 rdf:rest Na072d4537fc54821a6382709a5732ba0
    123 anzsrc-for:07 schema:inDefinedTermSet anzsrc-for:
    124 schema:name Agricultural and Veterinary Sciences
    125 rdf:type schema:DefinedTerm
    126 anzsrc-for:0706 schema:inDefinedTermSet anzsrc-for:
    127 schema:name Horticultural Production
    128 rdf:type schema:DefinedTerm
    129 sg:journal.1136828 schema:issn 2197-0025
    130 schema:name Theoretical and Experimental Plant Physiology
    131 rdf:type schema:Periodical
    132 sg:person.01010420124.60 schema:affiliation https://www.grid.ac/institutes/grid.481584.4
    133 schema:familyName Hernáiz
    134 schema:givenName Silvia
    135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01010420124.60
    136 rdf:type schema:Person
    137 sg:person.01167664412.45 schema:affiliation https://www.grid.ac/institutes/grid.481584.4
    138 schema:familyName Martínez-Zapater
    139 schema:givenName José Miguel
    140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167664412.45
    141 rdf:type schema:Person
    142 sg:person.01173047210.06 schema:affiliation https://www.grid.ac/institutes/grid.5611.3
    143 schema:familyName Dal Santo
    144 schema:givenName Silvia
    145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01173047210.06
    146 rdf:type schema:Person
    147 sg:person.01273407703.22 schema:affiliation https://www.grid.ac/institutes/grid.481584.4
    148 schema:familyName Carbonell-Bejerano
    149 schema:givenName Pablo
    150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273407703.22
    151 rdf:type schema:Person
    152 sg:person.01370703663.32 schema:affiliation https://www.grid.ac/institutes/grid.481584.4
    153 schema:familyName Royo
    154 schema:givenName Carolina
    155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370703663.32
    156 rdf:type schema:Person
    157 sg:person.0606774506.84 schema:affiliation https://www.grid.ac/institutes/grid.428469.5
    158 schema:familyName Rodríguez
    159 schema:givenName Virginia
    160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606774506.84
    161 rdf:type schema:Person
    162 sg:person.0633172056.13 schema:affiliation https://www.grid.ac/institutes/grid.5611.3
    163 schema:familyName Pezzotti
    164 schema:givenName Mario
    165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633172056.13
    166 rdf:type schema:Person
    167 sg:pub.10.1007/s00425-005-0017-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1009172968
    168 https://doi.org/10.1007/s00425-005-0017-y
    169 rdf:type schema:CreativeWork
    170 sg:pub.10.1007/s00425-007-0598-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037077480
    171 https://doi.org/10.1007/s00425-007-0598-8
    172 rdf:type schema:CreativeWork
    173 sg:pub.10.1007/s11103-008-9371-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1053691206
    174 https://doi.org/10.1007/s11103-008-9371-z
    175 rdf:type schema:CreativeWork
    176 sg:pub.10.1038/cr.2009.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025732303
    177 https://doi.org/10.1038/cr.2009.59
    178 rdf:type schema:CreativeWork
    179 sg:pub.10.1038/hortres.2015.12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030261457
    180 https://doi.org/10.1038/hortres.2015.12
    181 rdf:type schema:CreativeWork
    182 sg:pub.10.1186/1471-2164-10-212 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046065360
    183 https://doi.org/10.1186/1471-2164-10-212
    184 rdf:type schema:CreativeWork
    185 sg:pub.10.1186/1471-2164-12-631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051887824
    186 https://doi.org/10.1186/1471-2164-12-631
    187 rdf:type schema:CreativeWork
    188 sg:pub.10.1186/1471-2164-13-691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038778514
    189 https://doi.org/10.1186/1471-2164-13-691
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1186/1471-2164-8-187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005480817
    192 https://doi.org/10.1186/1471-2164-8-187
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1186/1471-2164-8-428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035062199
    195 https://doi.org/10.1186/1471-2164-8-428
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1186/1471-2164-8-429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037546523
    198 https://doi.org/10.1186/1471-2164-8-429
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1186/1471-2229-11-149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020234701
    201 https://doi.org/10.1186/1471-2229-11-149
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1186/1471-2229-11-165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016945564
    204 https://doi.org/10.1186/1471-2229-11-165
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1186/1471-2229-11-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050507091
    207 https://doi.org/10.1186/1471-2229-11-7
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1186/1471-2229-12-185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030246256
    210 https://doi.org/10.1186/1471-2229-12-185
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1186/1471-2229-13-30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031198645
    213 https://doi.org/10.1186/1471-2229-13-30
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1186/1471-2229-14-108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014614491
    216 https://doi.org/10.1186/1471-2229-14-108
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1186/1471-2229-14-183 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013331552
    219 https://doi.org/10.1186/1471-2229-14-183
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1186/1471-2229-14-78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009155415
    222 https://doi.org/10.1186/1471-2229-14-78
    223 rdf:type schema:CreativeWork
    224 sg:pub.10.1186/1471-2229-6-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021394474
    225 https://doi.org/10.1186/1471-2229-6-27
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1186/1756-0500-5-213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008654408
    228 https://doi.org/10.1186/1756-0500-5-213
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1186/gb-2013-14-6-r54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034108943
    231 https://doi.org/10.1186/gb-2013-14-6-r54
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1186/s12870-014-0188-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048142066
    234 https://doi.org/10.1186/s12870-014-0188-4
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1186/s12870-014-0370-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042199158
    237 https://doi.org/10.1186/s12870-014-0370-8
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.1016/j.aca.2009.10.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022499289
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.1016/j.foodchem.2014.10.033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008850843
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1016/j.foodres.2010.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040502745
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/j.plantsci.2015.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032048590
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1016/j.plaphy.2014.08.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036218373
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1021/jf061467h schema:sameAs https://app.dimensions.ai/details/publication/pub.1055905438
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1021/jf201318x schema:sameAs https://app.dimensions.ai/details/publication/pub.1055909798
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.1021/jf3020766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055911499
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.1021/jf405099n schema:sameAs https://app.dimensions.ai/details/publication/pub.1055913702
    256 rdf:type schema:CreativeWork
    257 https://doi.org/10.1091/mbc.e04-10-0890 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048438774
    258 rdf:type schema:CreativeWork
    259 https://doi.org/10.1093/bioinformatics/btg455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001761938
    260 rdf:type schema:CreativeWork
    261 https://doi.org/10.1093/bioinformatics/btl056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029813401
    262 rdf:type schema:CreativeWork
    263 https://doi.org/10.1093/jxb/erm055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043788344
    264 rdf:type schema:CreativeWork
    265 https://doi.org/10.1093/jxb/ers396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043886304
    266 rdf:type schema:CreativeWork
    267 https://doi.org/10.1093/jxb/ert395 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001077103
    268 rdf:type schema:CreativeWork
    269 https://doi.org/10.1093/jxb/eru329 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011427263
    270 rdf:type schema:CreativeWork
    271 https://doi.org/10.1093/jxb/eru517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048239147
    272 rdf:type schema:CreativeWork
    273 https://doi.org/10.1093/nar/gkm1130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041419737
    274 rdf:type schema:CreativeWork
    275 https://doi.org/10.1093/nar/gkq388 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011629374
    276 rdf:type schema:CreativeWork
    277 https://doi.org/10.1093/pcp/pct071 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004046200
    278 rdf:type schema:CreativeWork
    279 https://doi.org/10.1104/pp.106.093203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038615213
    280 rdf:type schema:CreativeWork
    281 https://doi.org/10.1105/tpc.112.100230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011785739
    282 rdf:type schema:CreativeWork
    283 https://doi.org/10.1105/tpc.113.117127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031714447
    284 rdf:type schema:CreativeWork
    285 https://doi.org/10.1111/1467-9868.00293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021007117
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1111/ajgw.12033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032032888
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1111/ajgw.12152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047538880
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1111/j.1365-2621.2012.03164.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029999466
    292 rdf:type schema:CreativeWork
    293 https://doi.org/10.1111/j.1755-0238.2000.tb00171.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016724603
    294 rdf:type schema:CreativeWork
    295 https://doi.org/10.1111/j.1755-0238.2007.tb00236.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027714807
    296 rdf:type schema:CreativeWork
    297 https://doi.org/10.1111/j.1755-0238.2009.00077.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043667498
    298 rdf:type schema:CreativeWork
    299 https://doi.org/10.1111/j.1755-0238.2010.00110.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020403374
    300 rdf:type schema:CreativeWork
    301 https://doi.org/10.1111/j.1755-0238.2011.00135.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003544273
    302 rdf:type schema:CreativeWork
    303 https://doi.org/10.1111/j.1755-0238.2012.00180.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028358745
    304 rdf:type schema:CreativeWork
    305 https://doi.org/10.1111/j.1755-0238.2012.00194.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024538414
    306 rdf:type schema:CreativeWork
    307 https://doi.org/10.1371/journal.pone.0039547 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045327308
    308 rdf:type schema:CreativeWork
    309 https://doi.org/10.1371/journal.pone.0060422 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014976043
    310 rdf:type schema:CreativeWork
    311 https://doi.org/10.1371/journal.pone.0088844 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014478712
    312 rdf:type schema:CreativeWork
    313 https://doi.org/10.2202/1544-6115.1027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069289261
    314 rdf:type schema:CreativeWork
    315 https://doi.org/10.3390/molecules15129057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023549829
    316 rdf:type schema:CreativeWork
    317 https://doi.org/10.4141/cjps2013-397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072255232
    318 rdf:type schema:CreativeWork
    319 https://doi.org/10.5344/ajev.2011.10116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051610082
    320 rdf:type schema:CreativeWork
    321 https://doi.org/10.5344/ajev.2012.11069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072778724
    322 rdf:type schema:CreativeWork
    323 https://doi.org/10.5344/ajev.2014.13062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072778845
    324 rdf:type schema:CreativeWork
    325 https://www.grid.ac/institutes/grid.428469.5 schema:alternateName National Center for Biotechnology
    326 schema:name Departamento de Genética Molecular de Plantas, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Calle Darwin s/n, 28049, Madrid, Spain
    327 rdf:type schema:Organization
    328 https://www.grid.ac/institutes/grid.481584.4 schema:alternateName Instituto de Ciencias de la Vid y del Vino
    329 schema:name Instituto de Ciencias de la Vid y del Vino (ICVV), Consejo Superior de Investigaciones Científicas CSIC-Universidad de La Rioja-Gobierno de La Rioja, Carretera de Burgos km 6 (LO-20-salida 13), 26007, Logroño, Spain
    330 rdf:type schema:Organization
    331 https://www.grid.ac/institutes/grid.5611.3 schema:alternateName University of Verona
    332 schema:name Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
    333 rdf:type schema:Organization
     




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


    ...