Modeling Protein Destiny in Developing Fruit
BLEIN-NICOLAS, Melisande
Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
BALLIAU, Thierry
Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
< Réduire
Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
Langue
en
Article de revue
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 ...Lire la suite >
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
Project ANR
Développement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
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