ROCH, Léa; PRIGENT, Sylvain; KLOSE, Holger; CAKPO, Coffi-Belmys; BEAUVOIT, Bertrand; DEBORDE, Catherine; FOUILLEN, Laetitia; VAN DELFT, Pierre; JACOB, Daniel; USADEL, Björn; DAI, Zhanwu; GÉNARD, Michel; VERCAMBRE, Gilles; COLOMBIE, Sophie; MOING, Annick; GIBON, Yves

doi:10.1093/jxb/eraa302

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ROCH, Léa
Biologie du fruit et pathologie [BFP]

PRIGENT, Sylvain
Biologie du fruit et pathologie [BFP]

KLOSE, Holger
RWTH Aachen University = Rheinisch-Westfälische Technische Hochschule Aachen [RWTH Aachen]

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Article de revue

Ce document a été publié dans

Journal of Experimental Botany. 2020, vol. 71, n° 19, p. 5823-5836

Oxford University Press (OUP)

Résumé en anglais

To 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.< Réduire

Mots clés en anglais

climacteric

fruit

metabolism

modelling

relative growth rate

biomass composition

Metaphenomics

NMR

DOI

http://dx.doi.org/10.1093/jxb/eraa302

Project ANR

Centre français de phénomique végétale - ANR-11-INBS-0012
Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation
Modélisation intégrative du fruit pour un système de sélection unifié

Origine

Importé de hal

Unités de recherche

Ecophysiologie et Génomique Fonctionnelle de la Vigne (EGFV) - UMR 1287