BELOUAH, Isma; NAZARET, Christine; PÉTRIACQ, Pierre; PRIGENT, Sylvain; BÉNARD, Camille; MENGIN, Virginie; BLEIN-NICOLAS, Melisande; DENTON, Alisandra; BALLIAU, Thierry; AUGÉ, Ségolène; BOUCHEZ, Olivier; MAZAT, Jean-Pierre; STITT, Mark; USADEL, Björn; ZIVY, Michel; BEAUVOIT, Bertrand; GIBON, Yves; COLOMBIE, Sophie

doi:10.1104/pp.19.00086

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BELOUAH, Isma
Chimie et Biologie des Membranes et des Nanoobjets [CBMN]

NAZARET, Christine
Institut de Mathématiques de Bordeaux [IMB]

PÉTRIACQ, Pierre
Interactions Plantes Pathogènes [IPP]

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Ce document a été publié dans

Plant Physiology. 2019-06-28, vol. 180, n° 3, p. 1709-1724

Oxford University Press ; American Society of Plant Biologists

Résumé en anglais

Protein synthesis and degradation are essential processes that regulate cell status. Because labeling in bulky organs, such as fruits, is difficult, we developed a modeling approach to study protein turnover at the global scale in developing tomato (Solanum lycopersicum) fruit. Quantitative data were collected for transcripts and proteins during fruit development. Clustering analysis showed smaller changes in protein abundance compared to mRNA abundance. Furthermore, protein and transcript abundance were poorly correlated, and the coefficient of correlation decreased during fruit development and ripening, with transcript levels decreasing more than protein levels. A mathematical model with one ordinary differential equation was used to estimate translation (kt) and degradation (kd) rate constants for almost 2,400 detected transcript-protein pairs and was satisfactorily fitted for over a thousand pairs. The model predicted median values of about 2 min for the translation of a protein, and a protein lifetime of approximately 11 days. The constants were validated and inspected for biological relevance. Proteins involved in protein synthesis had higher kt and kd values, indicating that the protein machinery is particularly flexible. Our model also predicts that protein concentration is more strongly affected by the rate of translation than that of degradation.< Réduire

DOI

http://dx.doi.org/10.1104/pp.19.00086

Project ANR

Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation

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Unités de recherche

Biologie du Fruit & Pathologie (BFP) - UMR 1332