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Network Analysis Provides Insight into Tomato Lipid Metabolism

Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
Department of Life Sciences, Ben Gurion University of the Negev, 84105 Beersheva, Israel
Centre of Plant Systems Biology and Biotechnology, 4000 Plovdiv, Bulgaria
Author to whom correspondence should be addressed.
Metabolites 2020, 10(4), 152;
Received: 14 February 2020 / Revised: 26 March 2020 / Accepted: 11 April 2020 / Published: 14 April 2020
(This article belongs to the Special Issue Fruit Metabolism and Metabolomics)
Metabolic correlation networks have been used in several instances to obtain a deeper insight into the complexity of plant metabolism as a whole. In tomato (Solanum lycopersicum), metabolites have a major influence on taste and overall fruit quality traits. Previously a broad spectrum of metabolic and phenotypic traits has been described using a Solanum pennellii introgression-lines (ILs) population. To obtain insights into tomato fruit metabolism, we performed metabolic network analysis from existing data, covering a wide range of metabolic traits, including lipophilic and volatile compounds, for the first time. We provide a comprehensive fruit correlation network and show how primary, secondary, lipophilic, and volatile compounds connect to each other and how the individual metabolic classes are linked to yield-related phenotypic traits. Results revealed a high connectivity within and between different classes of lipophilic compounds, as well as between lipophilic and secondary metabolites. We focused on lipid metabolism and generated a gene-expression network with lipophilic metabolites to identify new putative lipid-related genes. Metabolite–transcript correlation analysis revealed key putative genes involved in lipid biosynthesis pathways. The overall results will help to deepen our understanding of tomato metabolism and provide candidate genes for transgenic approaches toward improving nutritional qualities in tomato. View Full-Text
Keywords: lipophilic compounds; lipid-related genes; lipid metabolism lipophilic compounds; lipid-related genes; lipid metabolism
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MDPI and ACS Style

Kuhalskaya, A.; Wijesingha Ahchige, M.; Perez de Souza, L.; Vallarino, J.; Brotman, Y.; Alseekh, S. Network Analysis Provides Insight into Tomato Lipid Metabolism. Metabolites 2020, 10, 152.

AMA Style

Kuhalskaya A, Wijesingha Ahchige M, Perez de Souza L, Vallarino J, Brotman Y, Alseekh S. Network Analysis Provides Insight into Tomato Lipid Metabolism. Metabolites. 2020; 10(4):152.

Chicago/Turabian Style

Kuhalskaya, Anastasiya, Micha Wijesingha Ahchige, Leonardo Perez de Souza, José Vallarino, Yariv Brotman, and Saleh Alseekh. 2020. "Network Analysis Provides Insight into Tomato Lipid Metabolism" Metabolites 10, no. 4: 152.

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