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hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorSALON, Christophe
hal.structure.identifierEcophysiologie Végétale, Agronomie et Nutritions [EVA]
dc.contributor.authorAVICE, Jean-Christophe
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorCOLOMBIE, Sophie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDIEUAIDE NOUBHANI, Martine
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorGALLARDO-GUERRERO, Karine
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorJEUDY, Christian
hal.structure.identifierEcophysiologie Végétale, Agronomie et Nutritions [EVA]
dc.contributor.authorOURRY, Alain
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorPRUDENT, Marion
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorVOISIN, Anne-Sophie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorROLIN, Dominique
dc.date.issued2017
dc.identifier.issn0022-0957
dc.description.abstractEnFluxes through metabolic pathways reflect the integration of genetic and metabolic regulations. While it is attractive to measure all the mRNAs (transcriptome), all the proteins (proteome), and a large number of the metabolites (metabolome) in a given cellular system, linking and integrating this information remains difficult. Measurement of metabolome-wide fluxes (termed the fluxome) provides an integrated functional output of the cell machinery and a better tool to link functional analyses to plant phenotyping. This review presents and discusses sets of methodologies that have been developed to measure the fluxome. First, the principles of metabolic flux analysis (MFA), its 'short time interval' version Inst-MFA, and of constraints-based methods, such as flux balance analysis and kinetic analysis, are briefly described. The use of these powerful methods for flux characterization at the cellular scale up to the organ (fruits, seeds) and whole-plant level is illustrated. The added value given by fluxomics methods for unravelling how the abiotic environment affects flux, the process, and key metabolic steps are also described. Challenges associated with the development of fluxomics and its integration with 'omics' for thorough plant and organ functional phenotyping are discussed. Taken together, these will ultimately provide crucial clues for identifying appropriate target plant phenotypes for breeding.
dc.description.sponsorshipCentre français de phénomique végétale - ANR-11-INBS-0012
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.subjectphysiologie végétale
dc.subjectplante
dc.subject.enFluxome
dc.subject.enisotope labelling
dc.subject.enmetabolic flux analysis
dc.subject.enmetabolic models
dc.subject.enmetabolism
dc.subject.enphenotyping.
dc.title.enFluxomics links cellular functional analyses to whole-plant phenotyping.
dc.typeArticle de revue
dc.identifier.doi10.1093/jxb/erx126
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalJournal of Experimental Botany
bordeaux.page2083-2098
bordeaux.volume68
bordeaux.issue9
bordeaux.peerReviewedoui
hal.identifierhal-01605024
hal.version1
hal.popularnon
hal.audienceNon spécifiée
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01605024v1
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