Next Article in Journal / Special Issue
Minimal Cut Sets and the Use of Failure Modes in Metabolic Networks
Previous Article in Journal / Special Issue
Optimality Principles in the Regulation of Metabolic Networks
Metabolites 2012, 2(3), 553-566; doi:10.3390/metabo2030553
Review

Mathematical Modeling of Plant Metabolism―From Reconstruction to Prediction

*  and
Department of Molecular Systems Biology, University of Vienna, Althanstraße 14, 1090 Vienna, Austria
* Author to whom correspondence should be addressed.
Received: 7 July 2012 / Revised: 22 August 2012 / Accepted: 28 August 2012 / Published: 6 September 2012
(This article belongs to the Special Issue Metabolism and Systems Biology)
View Full-Text   |   Download PDF [231 KB, 7 September 2012; original version 6 September 2012]   |   Browse Figure

Abstract

Due to their sessile lifestyle, plants are exposed to a large set of environmental cues. In order to cope with changes in environmental conditions a multitude of complex strategies to regulate metabolism has evolved. The complexity is mainly attributed to interlaced regulatory circuits between genes, proteins and metabolites and a high degree of cellular compartmentalization. The genetic model plant Arabidopsis thaliana was intensely studied to characterize adaptive traits to a changing environment. The availability of genetically distinct natural populations has made it an attractive system to study plant-environment interactions. The impact on metabolism caused by changing environmental conditions can be estimated by mathematical approaches and deepens the understanding of complex biological systems. In combination with experimental high-throughput technologies this provides a promising platform to develop in silico models which are not only able to reproduce but also to predict metabolic phenotypes and to allow for the interpretation of plant physiological mechanisms leading to successful adaptation to a changing environment. Here, we provide an overview of mathematical approaches to analyze plant metabolism, with experimental procedures being used to validate their output, and we discuss them in the context of establishing a comprehensive understanding of plant-environment interactions.
Keywords: plant systems biology; mathematical modeling; Arabidopsis thaliana; natural variation; plant-environment interaction; stoichiometric modeling plant systems biology; mathematical modeling; Arabidopsis thaliana; natural variation; plant-environment interaction; stoichiometric modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Export to BibTeX |
EndNote


MDPI and ACS Style

Nägele, T.; Weckwerth, W. Mathematical Modeling of Plant Metabolism―From Reconstruction to Prediction. Metabolites 2012, 2, 553-566.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Metabolites EISSN 2218-1989 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert