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Fortune telling: metabolic markers of plant performance

hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorFERNANDEZ, Olivier
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorURRUTIA, Maria
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBERNILLON, Stéphane
hal.structure.identifierAgroressources et Impacts environnementaux [AgroImpact]
dc.contributor.authorGIAUFFRET, Catherine
hal.structure.identifierÉcophysiologie des Plantes sous Stress environnementaux [LEPSE]
dc.contributor.authorTARDIEU, Francois
hal.structure.identifierGénétique Diversité et Ecophysiologie des Céréales [GDEC]
dc.contributor.authorLE GOUIS, Jacques
hal.structure.identifierLaboratoire des interactions plantes micro-organismes [LIPM]
dc.contributor.authorLANGLADE, Nicolas
hal.structure.identifierGénétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
dc.contributor.authorCHARCOSSET, Alain
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.issued2016
dc.identifier.issn1573-3882
dc.description.abstractEnBackground: In the last decade, metabolomics has emerged as a powerful diagnostic and predictive tool in many branches of science. Researchers in microbes, animal, food, medical and plant science have generated a large number of targeted or non-targeted metabolic profiles by using a vast array of analytical methods (GC–MS, LC–MS, 1H-NMR….). Comprehensive analysis of such profiles using adapted statistical methods and modeling has opened up the possibility of using single or combinations of metabolites as markers. Metabolic markers have been proposed as proxy, diagnostic or predictors of key traits in a range of model species and accurate predictions of disease outbreak frequency, developmental stages, food sensory evaluation and crop yield have been obtained. Aim of review : (i) To provide a definition of plant performance and metabolic markers, (ii) to highlight recent key applications involving metabolic markers as tools for monitoring or predicting plant performance, and (iii) to propose a workable and cost-efficient pipeline to generate and use metabolic markers with a special focus on plant breeding. Key message: Using examples in other models and domains, the review proposes that metabolic markers are tending to complement and possibly replace traditional molecular markers in plant science as efficient estimators of performance.
dc.description.sponsorshipRessources génétiques de tournesol pour l'amélioration de la stabilité de production d'huile sous c
dc.description.sponsorshipDévelopper de nouvelles variétés de maïs pour une agriculture durable: une approche intégrée de la génomique à la sélection - ANR-10-BTBR-0001
dc.description.sponsorshipDévelopper de nouvelles variétés de blé pour une agriculture durable - ANR-10-BTBR-0003
dc.description.sponsorshipDéveloppement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
dc.description.sponsorshipCentre français de phénomique végétale - ANR-11-INBS-0012
dc.language.isoen
dc.publisherSpringer Verlag
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectMetabolomics
dc.subject.enBreeding
dc.subject.enMetabolic marker
dc.subject.enPlant performance
dc.subject.enPrediction
dc.title.enFortune telling: metabolic markers of plant performance
dc.typeArticle de revue
dc.identifier.doi10.1007/s11306-016-1099-1
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
dc.description.sponsorshipEuropeDrought-tolerant yielding plants
bordeaux.journalMetabolomics
bordeaux.volume12
bordeaux.issue10
bordeaux.peerReviewedoui
hal.identifierhal-02637624
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02637624v1
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