Network Analysis Provides Insight into Tomato Lipid Metabolism.

ABSTRACT: 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 cla

SUBMITTER: Kuhalskaya A 

PROVIDER: S-EPMC7240963 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature