Mathematical Modeling Approaches in Plant Metabolomics

Author(s)
Lisa Fürtauer, Jakob Weiszmann, Wolfram Weckwerth, Thomas Nägele
Abstract

The experimental analysis of a plant metabolome typically results in a comprehensive and multidimensional data set. To interpret metabolomics data in the context of biochemical regulation and environmental fluctuation, various approaches of mathematical modeling have been developed and have proven useful. In this chapter, a general introduction to mathematical modeling is presented and discussed in context of plant metabolism. A particular focus is laid on the suitability of mathematical approaches to functionally integrate plant metabolomics data in a metabolic network and combine it with other biochemical or physiological parameters.

Organisation(s)
Department of Ecogenomics and Systems Biology, Research Platform Vienna Metabolomics Center, Large-Instrument Facility for Mass Spectrometry in Life Sciences
Volume
1778
Pages
329-347
DOI
https://doi.org/10.1007/978-1-4939-7819-9_24
Publication date
05-2018
Publication status
Published
Peer reviewed
Yes
Austrian Fields of Science 2012
106044 Systems biology, 106057 Metabolomics, 101028 Mathematical modelling
Keywords
Metabolomics, Plant biochemistry, Mathematical modeling, ODE, Jacobian matrix, Multivariate statistics, Time series analysis, Granger causality
Portal url
https://ucris.univie.ac.at/portal/en/publications/mathematical-modeling-approaches-in-plant-metabolomics(ab22b379-fd41-4acd-a45e-689690a38e22).html