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Isotopic Steady-State Flux Analysis

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Plant Metabolic Networks

Metabolic flux analysis (MFA) provides an integrated view of the function of biochemical pathways within a cell and is an important methodology in systems biology and metabolic engineering [102]. Originally developed to study microbial metabolism, it has also been applied to plants [67, 74, 83, 85, 88, 106]. A key concept in MFA is the biochemical reaction stoichiometry, which is used to mathematically describe a cellular reaction network at metabolic steady state. For example, the theoretical capability of metabolic network can be explored by exhaustive enumeration of all possible distinct routes in a metabolic network [96, 101; see also Chapter 8].

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Notes

  1. 1.

    Flux values from the cited publications were used: NADPH production is calculated as 2× the plastidic OPPP flux. NADPH demand is calculated as (8/9)× the flux of acetyl-CoA into fatty acids, assuming the condensation of 9 acetate units into stearic acid requires 8 NADPH + 8 NADH. It is also assumed, as in B. napus embryos, that one reduction step in fatty acid chain elongation has high affinity for NADPH, while the other preferentially uses NADH. [104].

  2. 2.

    Ratio of pool size to total flux into the pool, i.e., the time needed for the molar amount of molecules present in the pool to enter (and exit) the pool.

  3. 3.

    Considering for Eq. (9.1) that the in vivo concentrations of the reactants are close to the equilibrium concentrations, then ΔG would be small. Therefore, saying that ΔG is small or that a reaction is close to equilibrium refers to reversibility of the reaction.

  4. 4.

    By probabilistic relations, a small fraction of the newly formed carbon bonds will also result in new 13C–13C pairs, which is accounted for in the bondomer approach.

  5. 5.

    5In some cases, the formula also includes scaling factors for the measurement data.

  6. 6.

    Another property of the sensitivity matrix: its numerical rank indicates the number of independent fluxes that can be derived from the labeling data.

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    Jörg Schwender

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    Schwender, J. (2009). Isotopic Steady-State Flux Analysis. In: Schwender, J. (eds) Plant Metabolic Networks. Springer, New York, NY. https://doi.org/10.1007/978-0-387-78745-9_9

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