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  MicroTom Metabolic Network: Rewiring Tomato Metabolic Regulatory Network throughout the Growth Cycle

Li, Y., Chen, Y., Zhou, L., You, S., Deng, H., Chen, Y., et al. (2020). MicroTom Metabolic Network: Rewiring Tomato Metabolic Regulatory Network throughout the Growth Cycle. Molecular Plant, 13(8), 1203-1218. doi:10.1016/j.molp.2020.06.005.

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Genre: Journal Article

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 Creators:
Li, Yan1, Author
Chen, Yang1, Author
Zhou, Lu1, Author
You, Shengjie1, Author
Deng, Heng1, Author
Chen, Ya1, Author
Alseekh, S.2, Author              
Yuan, Yong1, Author
Fu, Rao1, Author
Zhang, Zixin1, Author
Su, Dan1, Author
Fernie, A. R.2, Author              
Bouzayen, Mondher1, Author
Ma, Tao1, Author
Liu, Mingchun1, Author
Zhang, Yang1, Author
Affiliations:
1external, ou_persistent22              
2Central Metabolism, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753339              

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Free keywords: tomato, metabolome, transcriptome, transcription factor, co-expression, flavonoids
 Abstract: Tomato (Solanum lycopersicum) is a major horticultural crop worldwide and has emerged as a preeminent model for metabolic research. Although many research efforts have focused on the analysis of metabolite differences between varieties and species, the dynamics of metabolic changes during the tomato growth cycle and the regulatory networks that underlie these changes are poorly understood. In this study, we integrated high-resolution spatio-temporal metabolome and transcriptome data to systematically explore the metabolic landscape across 20 major tomato tissues and growth stages. In the resulting MicroTom Metabolic Network, the 540 detected metabolites and their co-expressed genes could be divided into 10 distinct clusters based on their biological functions. Using this dataset, we constructed a global map of the major metabolic changes that occur throughout the tomato growth cycle and dissected the underlying regulatory network. In addition to verifying previously well-established regulatory networks for important metabolites, we identified novel transcription factors that regulate the biosynthesis of important secondary metabolites such as steroidal glycoalkaloids and flavonoids. Our findings provide insights into spatio-temporal changes in tomato metabolism and generate a valuable resource for the study of metabolic regulatory processes in model plants.

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Molecular Plant
Source Genre: Journal
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Publ. Info: Oxford University Press
Pages: - Volume / Issue: 13 (8) Sequence Number: - Start / End Page: 1203 - 1218 Identifier: ISSN: 1674-2052
CoNE: https://pure.mpg.de/cone/journals/resource/1674-2052