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dc.rights.licenseopenen_US
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorROCH, Léa
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorPRIGENT, Sylvain
dc.contributor.authorKLOSE, Holger
dc.contributor.authorCAKPO, Coffi-Belmys
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBEAUVOIT, Bertrand
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDEBORDE, Catherine
hal.structure.identifierLaboratoire de biogenèse membranaire [LBM]
dc.contributor.authorFOUILLEN, Laetitia
hal.structure.identifierLaboratoire de biogenèse membranaire [LBM]
dc.contributor.authorVAN DELFT, Pierre
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorJACOB, Daniel
dc.contributor.authorUSADEL, Björn
hal.structure.identifierEcophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]
dc.contributor.authorDAI, Zhanwu
dc.contributor.authorGÉNARD, Michel
dc.contributor.authorVERCAMBRE, Gilles
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorCOLOMBIÉ, Sophie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMOING, Annick
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGIBON, Yves
dc.date.accessioned2020-09-11T12:34:49Z
dc.date.available2020-09-11T12:34:49Z
dc.date.issued2020-06-27
dc.identifier.issn1460-2431en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/11301
dc.description.abstractEnTo understand the mechanisms that link metabolism to phenotypes, which would help to target breeding strategies, eight fleshy fruit species were compared during development and ripening. Three herbaceous (eggplant, pepper, cucumber), three tree (apple, peach, clementine) and two vine (kiwifruit, grape) species were selected for their diversity. Fruit fresh weight and biomass composition including the major soluble and insoluble components were determined throughout fruit development and ripening. Best fitting models of fruit weight were used to estimate relative growth rate (RGR), which was significantly correlated with several biomass components, especially protein content (R=84) stearate (R=0.72), palmitate (R=0.72) and lignocerate (R=0.68). Moreover, the strong link between biomass composition and RGR was further evidenced by generalised linear models that predicted RGR with R-values exceeding 0.9. Fruit comparison also showed that climacteric fruit (apple, peach, kiwifruit) contained more non-cellulosic cell-wall-glucose and -fucose and starch than non-climacteric fruit. The rate of starch net accumulation was also higher in climacteric fruit. These results suggest that the way biomass is constructed has a major influence on performance, especially growth rate.
dc.language.isoENen_US
dc.subject.enMetaphenomics
dc.subject.enbiomass composition
dc.subject.enclimacteric
dc.subject.enfruit
dc.subject.enmetabolism
dc.subject.enmodelling
dc.subject.enrelative growth rate
dc.titleBiomass composition explains fruit relative growth rate and discriminates climacteric from non-climacteric species.
dc.title.alternativeJ Exp Boten_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/jxb/eraa302en_US
dc.subject.halSciences du Vivant [q-bio]/Biologie végétaleen_US
dc.identifier.pubmed32592486en_US
bordeaux.journalJournal of Experimental Botanyen_US
bordeaux.hal.laboratoriesEcophysiologie et Génomique Fonctionnelle de la Vigne (EGFV) - UMR 1287en_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcepubmed
hal.exportfalse
workflow.import.sourcepubmed
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