Modeling Protein Destiny in Developing Fruit.

Autor: Belouah I; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Nazaret C; Institut de Mathématiques de Bordeaux, Ecole Nationale Supérieure de Technologie des Biomolécules de Bordeaux-Institut Polytechnique de Bordeaux, 33400 Talence, France., Pétriacq P; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Prigent S; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Bénard C; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Mengin V; Max Planck Institute for Molecular Plant Physiology, 14476 Potsdam-Golm, Germany., Blein-Nicolas M; La Plateforme d'Analyse Protéomique de Paris Sud Ouest, Génétique Quantitative et Évolution-Le Moulon, Institut National de la Recherche Agronomique, Université Paris-Sud, Centre National de la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France., Denton AK; Institute for Botany and Molecular Genetics, BioEconomy Science Center, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen 52074, Germany., Balliau T; La Plateforme d'Analyse Protéomique de Paris Sud Ouest, Génétique Quantitative et Évolution-Le Moulon, Institut National de la Recherche Agronomique, Université Paris-Sud, Centre National de la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France., Augé S; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Bouchez O; Institut National de la Recherche Agronomique, US1426, Service Génome et Transcriptome, Plateforme Génomique, Genotoul, 31326 Castanet-Tolosan, France., Mazat JP; Institute for Cellular Biochemistry and Genetics-Centre National de la Recherche Scientifique, F-33077 Bordeaux Cedex, France., Stitt M; Max Planck Institute for Molecular Plant Physiology, 14476 Potsdam-Golm, Germany., Usadel B; Institute for Botany and Molecular Genetics, BioEconomy Science Center, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen 52074, Germany., Zivy M; La Plateforme d'Analyse Protéomique de Paris Sud Ouest, Génétique Quantitative et Évolution-Le Moulon, Institut National de la Recherche Agronomique, Université Paris-Sud, Centre National de la Recherche Scientifique, AgroParisTech, Université Paris-Saclay, 91190 Gif-sur-Yvette, France., Beauvoit B; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Gibon Y; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France., Colombié S; Unité Mixte de Recherche 1332 Biologie du Fruit et Pathologie, Institut National de la Recherche Agronomique, Université Bordeaux, F33883 Villenave d'Ornon, France sophie.colombie@inra.fr.
Jazyk: angličtina
Zdroj: Plant physiology [Plant Physiol] 2019 Jul; Vol. 180 (3), pp. 1709-1724. Date of Electronic Publication: 2019 Apr 23.
DOI: 10.1104/pp.19.00086
Abstrakt: 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 ( k t ) and degradation ( k d ) rate constants for almost 2,400 detected transcript-protein pairs and was satisfactorily fitted for >1,000 pairs. The model predicted median values of ∼2 min for the translation of a protein, and a protein lifetime of ∼11 d. The constants were validated and inspected for biological relevance. Proteins involved in protein synthesis had higher k t and k d 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.
(© 2019 American Society of Plant Biologists. All Rights Reserved.)
Databáze: MEDLINE
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