Multi-omics quantitative data of tomato fruit unveils regulation modes of least variable metabolites

Author:

Moing Annick,Berton Thierry,Roch Léa,Diarrassouba Salimata,Bernillon Stéphane,Arrivault Stéphanie,Deborde Catherine,Maucourt Mickaël,Cabasson Cécile,Bénard Camille,Prigent Sylvain,Jacob Daniel,Gibon Yves,Lemaire-Chamley Martine

Abstract

Abstract 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.

Funder

Agence Nationale de la Recherche

Publisher

Springer Science and Business Media LLC

Subject

Plant Science

Reference77 articles.

1. Allwood JW, Gibon Y, Osorio S, Araujo WL, Vallarino JG, Pétriacq P, Moing A. Developmental metabolomics to decipher and improve fleshy fruit quality. In: Pétriacq P, Bouchereau A, editors. Plant Metabolomics in full swing. Academic Press; 2021. pp. 3–34.

2. Mounet F, Lemaire-Chamley M, Maucourt M, Cabasson C, Giraudel J-L, Deborde C, Lessire R, Gallusci P, Bertrand A, Gaudillère M et al. Quantitative metabolic profiles of tomato flesh and seeds during fruit development: complementary analysis with ANN and PCA. Metabolomics. 2007;3(3):273–88. https://doi.org/10.1007/s11306-007-0059-1.

3. Osorio S, Alba R, Damasceno CMB, Lopez-Casado G, Lohse M, Zanor MI, Tohge T, Usadel B, Rose JKC, Fei Z, et al. Systems biology of tomato fruit development: combined transcript, protein, and metabolite analysis of tomato transcription factor (nor, rin) and ethylene receptor (nr) mutants reveals novel regulatory interactions. Plant Physiol. 2011;157(1):405–25.

4. Zhu G, Wang S, Huang Z, Zhang S, Liao Q, Zhang C, Lin T, Qin M, Peng M, Yang C, et al. Rewiring of the fruit metabolome in tomato breeding. Cell. 2018;172(1):249–261e212. https://doi.org/10.1016/j.cell.2017.12.019.

5. Savoi S, Wong DC, Degu A, Herrera JC, Bucchetti B, Peterlunger E, Fait A, Mattivi F, Castellarin SD. Multi-omics and integrated network analyses reveal new insights into the systems relationships between metabolites, structural genes, and transcriptional regulators in developing grape berries (Vitis vinifera L.) exposed to water deficit. Front Plant Sci. 2017;8:1124. https://doi.org/10.3389/fpls.2017.01124.

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