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hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
hal.structure.identifierCollege of horticulture
dc.contributor.authorXU, Jiaxin
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorPASCUAL, Laura
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorDESPLAT, Nelly
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
hal.structure.identifierCollege of horticulture
dc.contributor.authorFAUROBERT, Mireille
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGIBON, Yves
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMOING, Annick
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMAUCOURT, Mickaël
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBALLIAS, Patricia
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDEBORDE, Catherine
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorLIANG, Yan
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorBOUCHET, Jean-Paul
hal.structure.identifierEtude du Polymorphisme des Génomes Végétaux [EPGV]
dc.contributor.authorBRUNEL, Dominique
hal.structure.identifierUR1279, Unité Etude du Polymorphisme des Génomes Végétaux, CEA-Institut de Génomique-CNG
dc.contributor.authorLE PASLIER, Marie-Christine
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorCAUSSE, Mathilde
dc.date.issued2012
dc.date.conference2012-07-01
dc.description.abstractEnTomato fruit quality is an important trait for tomato consumers, but complex to improve due to the number of components involved and by their polygenic nature. ln order to decipher the genetic diversity and the inheritance of fruit qua lity components at a global level, we conducted a large multi-Ievel omic experiment. A set of 8 contrasted lines and 4 of their F1 hybrids were phenotyped for fruit development traits. Fruits were harvested and pericarp samples analysed at 2 stages (cell expansion and orange) and different scales: (1) primary and secondary metabolome profiles, (2) activities of 28 enzymes involved in primary metabolism, (3) proteome profiles revealed by 2D-PAGE and sequencing of 470 spots showing quantitative variations and (4) gene expression analysis by Digital Gene Expression. ln parallel, the 8 lines were resequenced and more than 3 millions SNPs identified when aligned on the reference tomato genome. This experiment allowed us to address several questions: the range of variability for the metabolic traits and expression data. Correlation networks can be constructed within and between levels of analysis to identify regulatory networks. Diversity of chosen candidate genes can be analysed, relating the polymorphisms at the sequence levels with their expression. Some examples will be presented.
dc.language.isoen
dc.subjecttranscriptome
dc.subjectmetabolome
dc.subjectfruit quality
dc.subject.entomato
dc.subject.ensystems biology
dc.subject.enproteome
dc.title.enA multi-Ievel omic approach of tomato fruit quality
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]/Sciences agricoles
bordeaux.countryFR
bordeaux.conference.cityAngers
bordeaux.peerReviewedoui
hal.identifierhal-02748459
hal.version1
hal.invitednon
hal.conference.end2012-07-05
hal.popularnon
hal.audienceNationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02748459v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2012&rft.au=XU,%20Jiaxin&PASCUAL,%20Laura&DESPLAT,%20Nelly&FAUROBERT,%20Mireille&GIBON,%20Yves&rft.genre=unknown


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