Abstract
The understanding of the
control of metabolic flux in plants requires integrated mathematical
formulations of gene and protein expression, enzyme kinetics, and
developmental biology. Plants have a large number of metabolically active
compartments, and non-steady-state conditions are frequently encountered.
Consequently steady-state metabolic flux balance and isotopic flux balance
modeling approaches have limited utility in probing plant metabolic
systems. Transient isotopic flux analysis and kinetic modeling are
powerful proven techniques for the quantification of metabolic fluxes in
compartmentalized, dynamic metabolic systems. These tools are now
widely used to address metabolic flux responses to environmental and
genetic perturbations in plant metabolism. Continued developments
in isotopic and kinetic modeling, quantifying metabolite exchange
between compartments, and transcriptional and posttranscriptional
regulatory mechanisms governing enzyme level and activity will enable
simulation of large sections of plant metabolism under non-steady-state
conditions. Metabolic control analysis will continue to make substantial
contributions to the understanding of quantitative distribution of control of
flux. From the synergy between mathematical models and experiments,
creative methods for controlling the distribution of flux by genetic or
environmental means will be discovered and rationally implemented.
- 11800577
- expression
- forecasting,
- gene
- genetic,
- kinetics,
- models,
- plant
- plant,
- plants,
- post-translational,
- processing,
- protein
- proteins,
- regulation,
- theoretical,
- transcription,
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