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Genetic diversity, inheritance and integration of multi-level omic data in tomato fruit

hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorXU, Jiaxin
hal.structure.identifierGénétique et Amélioration des Fruits et Légumes [GAFL]
dc.contributor.authorPASCUAL-BANULS, 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]
dc.contributor.authorBOUCHET, Jean-Paul
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.identifierEtude du Polymorphisme des Génomes Végétaux [EPGV]
dc.contributor.authorBRUNEL, Dominique
hal.structure.identifierEtude du Polymorphisme des Génomes Végétaux [EPGV]
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.conference2012-01-14
dc.description.abstractEnTomato fruit quality is an important trait for tomato breeders, but complex by the number of components and by their polygenic nature. In order to decipher the genetic diversity and the inheritance of fruit quality components at a global level, we conducted a large multi-level 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 (celle 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. In 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.subjectfruit quality
dc.subjectGENETIQUE VEGETALE
dc.subject.enGene expression analysis
dc.subject.enSNPs
dc.subject.enCandidate gene
dc.subject.engenetic diversity
dc.title.enGenetic diversity, inheritance and integration of multi-level omic data in tomato fruit
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]
bordeaux.pageW643
bordeaux.countryUS
bordeaux.conference.citySan Diego
bordeaux.peerReviewedoui
hal.identifierhal-02810053
hal.version1
hal.invitedoui
hal.conference.end2012-01-18
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02810053v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2012&rft.spage=W643&rft.epage=W643&rft.au=XU,%20Jiaxin&PASCUAL-BANULS,%20Laura&DESPLAT,%20Nelly&BOUCHET,%20Jean-Paul&GIBON,%20Yves&rft.genre=unknown


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