Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Feb 7:6:e20667.
doi: 10.7554/eLife.20667.

Design principles of autocatalytic cycles constrain enzyme kinetics and force low substrate saturation at flux branch points

Affiliations

Design principles of autocatalytic cycles constrain enzyme kinetics and force low substrate saturation at flux branch points

Uri Barenholz et al. Elife. .

Abstract

A set of chemical reactions that require a metabolite to synthesize more of that metabolite is an autocatalytic cycle. Here, we show that most of the reactions in the core of central carbon metabolism are part of compact autocatalytic cycles. Such metabolic designs must meet specific conditions to support stable fluxes, hence avoiding depletion of intermediate metabolites. As such, they are subjected to constraints that may seem counter-intuitive: the enzymes of branch reactions out of the cycle must be overexpressed and the affinity of these enzymes to their substrates must be relatively weak. We use recent quantitative proteomics and fluxomics measurements to show that the above conditions hold for functioning cycles in central carbon metabolism of E. coli. This work demonstrates that the topology of a metabolic network can shape kinetic parameters of enzymes and lead to seemingly wasteful enzyme usage.

Keywords: E. coli; computational biology; dynamic analysis; enzyme kinetics; metabolism; systems biology.

PubMed Disclaimer

Conflict of interest statement

The authors declare that no competing interests exist.

Figures

Figure 1.
Figure 1.. A basic autocatalytic cycle requires an internal metabolite to be present in order to assimilate the external metabolite into the cycle, increasing the amount of the internal metabolite by some amount, δ.
DOI: http://dx.doi.org/10.7554/eLife.20667.003
Figure 2.
Figure 2.. Three representative autocatalytic cycles in central carbon metabolism: (I) The Calvin-Benson-Bassham cycle (yellow); (II) The glyoxylate cycle (magenta); (III) A cycle using the phosphotransferase system (PTS) to assimilate glucose (cyan).
Assimilation reactions are indicated in green. Arrow width in panels represent the relative carbon flux. DOI: http://dx.doi.org/10.7554/eLife.20667.004
Figure 2—figure supplement 1.
Figure 2—figure supplement 1.. An autocatalytic cycle assimilating ribose-5-phosphate using the pentose phosphate pathway.
This cycle contains a direct input reaction (rpi, dashed line) allowing the cycle to operate with broader sets of kinetic parameters than cycles missing this feature. A knockout strain where rpi is eliminated, does not grow under ribose despite having the theoretical ability to do so. DOI: http://dx.doi.org/10.7554/eLife.20667.005
Figure 2—figure supplement 2.
Figure 2—figure supplement 2.. An autocatalytic cycle assimilating dhap while consuming gap using the fba reaction in the gluconeogenic direction.
This cycle contains a direct input reaction (tpi, dashed line) allowing the cycle to operate with broader sets of kinetic parameters than cycles missing this feature. According to fluxomics data this cycle does not operate in vivo as a more energy efficient alternative in growth under glycerol is to use the tpi reaction and proceed in the glycolitic direction in the lower part of glycolysis. A knockout strain where tpi reaction is eliminated, does not grow under glycerol despite having the theoretical ability to do so. DOI: http://dx.doi.org/10.7554/eLife.20667.006
Figure 3.
Figure 3.. Analysis of a simple autocatalytic cycle.
(A) A simple autocatalytic cycle induces two fluxes, fa and fb as a function of the concentration of X. These fluxes follow simple Michaelis-Menten kinetics. A steady state occurs when fa=fb, implying that X˙=0. The cycle always has a steady state (i.e. X˙=0) at X=0. The slope of each reaction at X=0 is Vmax/KM. A steady state is stable if at the steady state concentration dX˙dX<0. (B) Each set of kinetic parameters, Vmax,a,Vmax,b,KM,a,KM,b determines two dynamical properties of the system: If Vmax,b>Vmax,a, then a stable steady state concentration must exist, as for high concentrations of X the branching reaction will reduce the concentration of X (cyan domain, cases (I) and (II)). If Vmax,bKM,b<Vmax,aKM,a, implying that Vmax,bVmax,a<KM,bKM,a, then zero is a non-stable steady state concentration as if X is slightly higher than zero, the autocatalytic reaction will carry higher flux, further increasing the concentration of X (magenta domain, cases (I) and (IV)). At the intersection of these two domains a non-zero, stable steady state concentration exists, case (I). DOI: http://dx.doi.org/10.7554/eLife.20667.007
Figure 4.
Figure 4.. Analysis of an autocatalytic cycle with input flux.
(A) The effect of a fixed input flux, fi, on the possible steady states of a simple autocatalytic cycle. A steady state occurs when fa+fi=fb. If Vmax,b>Vmax,a+fi then there is always a single stable steady state (I). If Vmax,b<Vmax,a+fi then there can either be no steady states (II), or two steady states where the smaller one is stable (III). DOI: http://dx.doi.org/10.7554/eLife.20667.008
Figure 5.
Figure 5.. Generalization of analysis to multiple-reaction autocatalytic cycles with a single assimilating reaction.
(A) A two reaction system. (B) A generic n-reaction system. The system is at steady state when the total consumption of intermediate metabolites by the branch reactions is equal to the flux through the autocatalytic reaction, because the autocatalysis is in a 1:2 ratio. A sufficient condition for the stability of a steady state in these systems is that the derivative of at least one branch reaction with respect to the substrate concentration is larger than the derivative of the equivalent autocatalytic reaction at the steady state concentration. Given the connection between derivatives of fluxes and saturation levels of reactions (see methods), this condition implies that at a stable steady state, the saturation level of at least one branch reactions is smaller than the saturation level of the corresponding autocatalytic reaction. DOI: http://dx.doi.org/10.7554/eLife.20667.009
Figure 6.
Figure 6.. Major branch points and relative enzyme saturation in operating autocatalytic cycles.
Solid arrow width represents carbon flux per unit time. Shaded arrow width represents the maximal carbon flux capacity per unit time, given the expression level of the catalyzing enzyme. In all cases there is enough excess capacity in the branching reactions to prevent the cycle from overflowing. A 4% flux from pep to biomass was neglected in growth under glucose and fructose. Only in one out of the nine branch points observed (the branch point at fbp in growth under fructose), the outgoing reaction is significantly more saturated than the autocatalytic reaction. (*) A branch point at which the branching reaction is more saturated than the autocatalytic reaction, which may result from neglecting fructose transport directly as f6p when deriving fluxes (see text). DOI: http://dx.doi.org/10.7554/eLife.20667.010

Similar articles

Cited by

References

    1. Antonovsky N, Gleizer S, Noor E, Zohar Y, Herz E, Barenholz U, Zelcbuch L, Amram S, Wides A, Tepper N, Davidi D, Bar-On Y, Bareia T, Wernick DG, Shani I, Malitsky S, Jona G, Bar-Even A, Milo R. Sugar synthesis from CO2 in Escherichia coli. Cell. 2016;166:115–125. doi: 10.1016/j.cell.2016.05.064. - DOI - PMC - PubMed
    1. Benson AA, Bassham JA, Calvin M, Goodale TC, Haas VA, Stepka W. The path of carbon in photosynthesis. v. paper chromatography and radioautography of the products1. Journal of the American Chemical Society. 1950;72:1710–1718. doi: 10.1021/ja01160a080. - DOI
    1. Davidi D, Noor E, Liebermeister W, Bar-Even A, Flamholz A, Tummler K, Barenholz U, Goldenfeld M, Shlomi T, Milo R. Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro kcat measurements. PNAS. 2016;113:3401–3406. doi: 10.1073/pnas.1514240113. - DOI - PMC - PubMed
    1. Eanes WF, Merritt TJ, Flowers JM, Kumagai S, Sezgin E, Zhu CT. Flux control and excess capacity in the enzymes of glycolysis and their relationship to flight metabolism in Drosophila Melanogaster. PNAS. 2006;103:19413–19418. doi: 10.1073/pnas.0607095104. - DOI - PMC - PubMed
    1. Eigen M, Schuster P. Springer Science & Business Media. 2012. The hypercycle: a principle of natural self-organization. - PubMed

MeSH terms