Metabolomics

, Volume 5, Issue 2, pp 183–198

Proton NMR quantitative profiling for quality assessment of greenhouse-grown tomato fruit

  • Catherine Deborde
  • Mickaël Maucourt
  • Pierre Baldet
  • Stéphane Bernillon
  • Benoît Biais
  • Gilles Talon
  • Carine Ferrand
  • Daniel Jacob
  • Hélène Ferry-Dumazet
  • Antoine de Daruvar
  • Dominique Rolin
  • Annick Moing
Original Article

DOI: 10.1007/s11306-008-0134-2

Cite this article as:
Deborde, C., Maucourt, M., Baldet, P. et al. Metabolomics (2009) 5: 183. doi:10.1007/s11306-008-0134-2

Abstract

Tomato is an essential crop in terms of economic importance and nutritional quality. In France, the third most important region for tomato (Solanum lycopersicum L.) production is Aquitaine where the major part of production is now grown soilless under greenhouse conditions with harvest from March to November. Tomato fruit quality at harvest is a direct function of its metabolite content at that time. The aim of this work was to use a global approach to characterize changes in the fruit organoleptic quality at harvest under commercial culture conditions during an entire season for two varieties and two different fertilization practices (with or without recycling of the nutrient solution) for one variety. Absolute quantification data of 32 major compounds in fruit without seeds were obtained through untargeted (proton nuclear magnetic resonance, 1H-NMR) quantitative profiling. These data were complemented by colorimetric analysis of ascorbate and total phenolics. They were analyzed with chemometric approaches. Principal component analysis (PCA) or partial least square analyses (PLS) revealed more discriminant metabolites for season than for variety and showed that nutrient solution recycling had very little effect on fruit composition. These tendencies were confirmed with univariate analyses. 1H-NMR profiling complemented with colorimetric analyses therefore provided a diagnostic tool to follow the changes in organoleptic and nutritional quality of tomato. In addition the quantitative information generated will help to increase our knowledge on the mechanisms of plant response to environmental modifications.

Keywords

Solanum lycopersicumFruit quality1H-NMRPolar metabolitesMetabolic fingerprintingMetabolomicsCultivation practices

Abbreviations

AEAC

Ascorbic acid equivalent antioxidant capacity

DW

Dry weight

EC

Electroconductivity

HCA

Hierarchical clustering analysis

NMR

Nuclear magnetic resonance

PCA

Principal component analysis

PLS

Partial least square regression

TSP

(Trimethylsilyl)propionic-2,2,3,3-d4 acid sodium salt

Supplementary material

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11306_2008_134_MOESM2_ESM.doc (26 kb)
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11306_2008_134_MOESM3_ESM.doc (23 kb)
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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Catherine Deborde
    • 1
    • 2
  • Mickaël Maucourt
    • 2
    • 3
  • Pierre Baldet
    • 1
  • Stéphane Bernillon
    • 1
    • 2
  • Benoît Biais
    • 1
    • 2
  • Gilles Talon
    • 4
  • Carine Ferrand
    • 5
  • Daniel Jacob
    • 6
    • 7
  • Hélène Ferry-Dumazet
    • 6
  • Antoine de Daruvar
    • 6
    • 8
    • 9
  • Dominique Rolin
    • 3
  • Annick Moing
    • 1
  1. 1.INRA, UMR619 Biologie du Fruit, IFR103 BVIVillenave d’OrnonFrance
  2. 2.Plateforme Métabolome-Fluxome de Génomique Fonctionnelle Bordeaux, IFR103 BVIVillenave d’OrnonFrance
  3. 3.Université de Bordeaux, UMR619 Biologie du FruitVillenave d’OrnonFrance
  4. 4.Hortis AquitaineSainte LivradeFrance
  5. 5.Département Universitaire des Sciences d’AgenUniversité de BordeauxAgenFrance
  6. 6.Université de Bordeaux, Centre de Bioinformatique de Bordeaux – Génomique Fonctionnelle BordeauxBordeauxFrance
  7. 7.INRA, UMA1251, IFR103 BVIVillenave d’OrnonFrance
  8. 8.Université de Bordeaux, UMR 5800 Laboratoire Bordelais de Recherche en InformatiqueTalenceFrance
  9. 9.CNRS, UMR 5800 Laboratoire Bordelais de Recherche en InformatiqueTalenceFrance