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2015 ; 169
(3
): 1443-55
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Inference and Prediction of Metabolic Network Fluxes
#MMPMID26392262
Nikoloski Z
; Perez-Storey R
; Sweetlove LJ
Plant Physiol
2015[Nov]; 169
(3
): 1443-55
PMID26392262
show ga
In this Update, we cover the basic principles of the estimation and prediction of
the rates of the many interconnected biochemical reactions that constitute plant
metabolic networks. This includes metabolic flux analysis approaches that utilize
the rates or patterns of redistribution of stable isotopes of carbon and other
atoms to estimate fluxes, as well as constraints-based optimization approaches
such as flux balance analysis. Some of the major insights that have been gained
from analysis of fluxes in plants are discussed, including the functioning of
metabolic pathways in a network context, the robustness of the metabolic
phenotype, the importance of cell maintenance costs, and the mechanisms that
enable energy and redox balancing at steady state. We also discuss methodologies
to exploit 'omic data sets for the construction of tissue-specific metabolic
network models and to constrain the range of permissible fluxes in such models.
Finally, we consider the future directions and challenges faced by the field of
metabolic network flux phenotyping.
|Energy Metabolism
[MESH]
|Isotope Labeling
[MESH]
|Metabolic Flux Analysis/methods
[MESH]
|Metabolic Networks and Pathways/*physiology
[MESH]
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