Integration of plant metabolomics data with metabolic networks: Progresses and challenges

Nadine Töpfer, Samuel M.D. Seaver, Asaph Aharoni

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the last decade, plant genome-scale modeling has developed rapidly and modeling efforts have advanced from representing metabolic behavior of plant heterotrophic cell suspensions to studying the complex interplay of cell types, tissues, and organs. A crucial driving force for such developments is the availability and integration of “omics” data (e.g., transcriptomics, proteomics, and metabolomics) which enable the reconstruction, extraction, and application of context-specific metabolic networks. In this chapter, we demonstrate a workflow to integrate gas chromatography coupled to mass spectrometry (GC-MS)-based metabolomics data of tomato fruit pericarp (flesh) tissue, at five developmental stages, with a genome-scale reconstruction of tomato metabolism. This method allows for the extraction of context-specific networks reflecting changing activities of metabolic pathways throughout fruit development and maturation.

Original languageEnglish
Title of host publicationPlant Metabolomics
EditorsCarla António
PublisherHumana Press
Pages297-310
Number of pages14
ISBN (Electronic)978-1-4939-7819-9
ISBN (Print)978-1-4939-7818-2
DOIs
StatePublished Online - 15 May 2018

Publication series

NameMethods in Molecular Biology
Volume1778
ISSN (Print)1064-3745

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Genetics

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