From structure to dynamics of metabolic pathways: application to the plant mitochondrial TCA cycle

MOTIVATION Mitochondrial metabolism, dominated by the reactions of the tricarboxylic acid (TCA) cycle, is of vital importance for a wide range of metabolic processes. In particular for autotrophic tissue, such as plant leaves, the TCA cycle marks the point of divergence of anabolic pathways and plays an essential role in biosynthesis. However, despite extensive knowledge about its stoichiometric properties, the function and the dynamical capabilities of the TCA cycle remain largely unknown. METHODS AND RESULTS Based on a recently proposed formalism, we investigate the dynamic and functional properties of the mitochondrial TCA cycle of plants. Starting with the structural properties, as described by the elementary flux modes of the system, we aim for the transition from structure to the dynamics of the TCA cycle. Using a parametric description of the system, encompassing all possible differential equations and parameter values, we detect and quantify regimes of different dynamic behavior. Optimizing the system with respect to dynamic stability, we demonstrate that maximal stability is associated with specific (relative) metabolite concentrations and flux values that are subsequently compared to the experimental literature. Our analysis also serves as a general example how to elucidate the transition from the structure to the dynamics of metabolic pathways.

[1]  U. Roessner,et al.  Analysis of the compartmentation of glycolytic intermediates, nucleotides, sugars, organic acids, amino acids, and sugar alcohols in potato tubers using a nonaqueous fractionation method. , 2001, Plant physiology.

[2]  T. Rees,et al.  Control of the Krebs Cycle in Arum Spadix , 1991 .

[3]  R. Heinrich,et al.  The Regulation of Cellular Systems , 1996, Springer US.

[4]  U. Alon,et al.  Assigning numbers to the arrows: Parameterizing a gene regulation network by using accurate expression kinetics , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[5]  B. Palsson,et al.  Saccharomyces cerevisiae phenotypes can be predicted by using constraint-based analysis of a genome-scale reconstructed metabolic network , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[6]  J. Ebel,et al.  Molecular Cloning and Expression of 4-Coumarate:Coenzyme A Ligase, an Enzyme Involved in the Resistance Response of Soybean (Glycine max L.) against Pathogen Attack , 1993, Plant physiology.

[7]  J. Stark,et al.  Network motifs: structure does not determine function , 2006, BMC Genomics.

[8]  Alisdair R Fernie,et al.  Regulation of metabolic networks: understanding metabolic complexity in the systems biology era. , 2005, The New phytologist.

[9]  A. Fernie,et al.  Metabolite profiling: from diagnostics to systems biology , 2004, Nature Reviews Molecular Cell Biology.

[10]  Andre Levchenko,et al.  Dynamic Properties of Network Motifs Contribute to Biological Network Organization , 2005, PLoS biology.

[11]  Edda Klipp,et al.  Inferring dynamic properties of biochemical reaction networks from structural knowledge. , 2004, Genome informatics. International Conference on Genome Informatics.

[12]  Thilo Gross,et al.  Structural kinetic modeling of metabolic networks , 2006, Proceedings of the National Academy of Sciences.

[13]  D. Fell,et al.  Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. , 1999, Trends in biotechnology.

[14]  H. Heldt,et al.  On the Function of Mitochondrial Metabolism during Photosynthesis in Spinach (Spinacia oleracea L.) Leaves (Partitioning between Respiration and Export of Redox Equivalents and Precursors for Nitrate Assimilation Products) , 1993, Plant physiology.

[15]  J. Schwender,et al.  Understanding flux in plant metabolic networks. , 2004, Current opinion in plant biology.

[16]  E. Klipp,et al.  Biochemical networks with uncertain parameters. , 2005, Systems biology.

[17]  S. Schuster,et al.  Metabolic network structure determines key aspects of functionality and regulation , 2002, Nature.

[18]  D. Fell,et al.  A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks , 2000, Nature Biotechnology.