Multi-omics quantitative data of tomato fruit unveils regulation modes of least variable metabolites
DIARRASSOUBA, Salimata
Biologie du fruit et pathologie [BFP]
Laboratoire de Recherche en Sciences Végétales [LRSV]
Biologie du fruit et pathologie [BFP]
Laboratoire de Recherche en Sciences Végétales [LRSV]
BERNILLON, Stéphane
Unité de recherche Mycologie et Sécurité des Aliments [MycSA]
Biologie du fruit et pathologie [BFP]
Plateforme Bordeaux Metabolome
Unité de recherche Mycologie et Sécurité des Aliments [MycSA]
Biologie du fruit et pathologie [BFP]
Plateforme Bordeaux Metabolome
DEBORDE, Catherine
Biologie du fruit et pathologie [BFP]
Plateforme Bordeaux Metabolome
Unité de recherche sur les Biopolymères, Interactions Assemblages [BIA]
BIBS - Plateforme Bioressources : Imagerie, Biochimie & Structure
< Réduire
Biologie du fruit et pathologie [BFP]
Plateforme Bordeaux Metabolome
Unité de recherche sur les Biopolymères, Interactions Assemblages [BIA]
BIBS - Plateforme Bioressources : Imagerie, Biochimie & Structure
Langue
en
Article de revue
Ce document a été publié dans
BMC Plant Biology. 2023-07-22, vol. 23, n° 365
BioMed Central
Résumé en anglais
Background The composition of ripe fruits depends on various metabolites which content evolves greatly throughout fruit development and may be influenced by the environment. The corresponding metabolism regulations have ...Lire la suite >
Background The composition of ripe fruits depends on various metabolites which content evolves greatly throughout fruit development and may be influenced by the environment. The corresponding metabolism regulations have been widely described in tomato during fruit growth and ripening. However, the regulation of other metabolites that do not show large changes in content have scarcely been studied. Results We analysed the metabolites of tomato fruits collected on different trusses during fruit development, using complementary analytical strategies. We identified the 22 least variable metabolites, based on their coefficients of variation. We first verified that they had a limited functional link with the least variable proteins and transcripts. We then posited that metabolite contents could be stabilized through complex regulations and combined their data with the quantitative proteome or transcriptome data, using sparse partial-least-square analyses. This showed shared regulations between several metabolites, which interestingly remained linked to early fruit development. We also examined regulations in specific metabolites using correlations with individual proteins and transcripts, which revealed that a stable metabolite does not always correlate with proteins and transcripts of its known related pathways. Conclusions The regulation of the least variable metabolites was then interpreted regarding their roles as hubs in metabolic pathways or as signalling molecules.< Réduire
Mots clés en anglais
Fruit
LC-MS
Metabolism regulation
Proton NMR
Omics
Solanum lycopersicum
Project ANR
Modélisation intégrative du fruit pour un système de sélection unifié - ANR-15-CE20-0009
Centre français de phénomique végétale
Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation
Centre français de phénomique végétale
Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation
Origine
Importé de halUnités de recherche