This title appears in the Scientific Report :
2016
Please use the identifier:
http://dx.doi.org/10.1002/bit.25833 in citations.
Cutting the gordian knot: identifiability of anaplerotic reactions in Corynebacterium glutamicum by means of $^{13}$C-metabolic flux analysis
Cutting the gordian knot: identifiability of anaplerotic reactions in Corynebacterium glutamicum by means of $^{13}$C-metabolic flux analysis
Corynebacterium glutamicum is the major workhorse for the microbial production of several amino and organic acids. As long as these derive from tricarboxylic acid cycle intermediates, the activity of anaplerotic reactions is pivotal for a high biosynthetic yield. To determine single anaplerotic acti...
Saved in:
Personal Name(s): | Kappelmann, Jannick |
---|---|
Wiechert, Wolfgang / Noack, Stephan (Corresponding author) | |
Contributing Institute: |
Biotechnologie; IBG-1 |
Published in: | Biotechnology & bioengineering, 113 (2016) 3, S. 661 - 674 |
Imprint: |
New York, NY [u.a.]
Wiley
2016
|
DOI: |
10.1002/bit.25833 |
PubMed ID: |
26375179 |
Document Type: |
Journal Article |
Research Program: |
Innovative Synergisms |
Publikationsportal JuSER |
Corynebacterium glutamicum is the major workhorse for the microbial production of several amino and organic acids. As long as these derive from tricarboxylic acid cycle intermediates, the activity of anaplerotic reactions is pivotal for a high biosynthetic yield. To determine single anaplerotic activities 13C-Metabolic Flux Analysis (13C-MFA) has been extensively used for C. glutamicum, however with different network topologies, inconsistent or poorly determined anaplerotic reaction rates. Therefore, in this study we set out to investigate whether a focused isotopomer model of the anaplerotic node can at all admit a unique solution for all fluxes. By analyzing different scenarios of active anaplerotic reactions, we show in full generality that for C. glutamicum only certain anaplerotic deletion mutants allow to uniquely determine the anaplerotic fluxes from 13C-isotopomer data. We stress that the result of this analysis for different assumptions on active enzymes is directly transferable to other compartment-free organisms. Our results demonstrate that there exist biologically relevant metabolic network topologies for which the flux distribution cannot be inferred by classical 13C-MFA |