Literature DB >> 6455663

Oscillations and control features in glycolysis: analysis of resonance effects.

Y Termonia, J Ross.   

Abstract

We have presented [Termonia, Y. & Ross, J. (1981) Proc. Natl. Acad. Sci. USA 78, 2952-2956] an analysis of glycolysis based on experimental findings. Here, we give an interpretation based on the concepts of efficiency, resonance response, and control features available to highly nonlinear reaction kinetics. The comprehensive model of glycolysis, for which we presented numerical evaluation of concentration oscillations, entropy production, and average ATP/ADP ratios is separated into two subsystems: one for the phosphofructokinase (PFKase) reaction, the other for the pyruvate kinase (PKase) reaction. We analyze each subsystem separately and find that, for a range of parameter values around the best estimates obtained from experimental data, the PFKase reaction exhibits sustained oscillations. The PKase reaction, on the other hand, is in a stable stationary state and shows an oscillatory relaxation. The period of the PFKase reaction is within 25% of that obtained by computer simulation of the full model. Moreover, if, for a given set of kinetic parameters, the period of the oscillations in the PFKase reaction is of the same order of magnitude as the period of the oscillatory relaxation of the PKase reaction, then the onset of oscillatory behavior past marginal stability forces a tuning of the PFKase reaction period to that of the PKase reaction. Thus, the PKase reaction tunes the frequency of the primary oscillophor, the PFKase reaction, so that a resonance response results in the PKase reaction. We find this result for a substantial range of parameters. The sharp increase in the ATP/ADP ratio and the decrease in the dissipation (entropy production) are seen to be a result of the forced tuning to resonance. The origin of the remarkable control feature of the tuning of one part of the pathway by another that follows in the reaction mechanism is the coupling of the two parts and, in the case of glycolysis, this is realized by the intermediate fructose 1,6-diphosphate, which participates crucially in the PFKase and PKase reactions.

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Year:  1981        PMID: 6455663      PMCID: PMC319610          DOI: 10.1073/pnas.78.6.3563

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  4 in total

1.  Temporal and spatial order in biochemical systems.

Authors:  B Hess; T Plesser
Journal:  Ann N Y Acad Sci       Date:  1979       Impact factor: 5.691

2.  Cooperation of glycolytic enzymes.

Authors:  B Hess; A Boiteux; J Krüger
Journal:  Adv Enzyme Regul       Date:  1969

3.  Oscillations and efficiency in glycolysis.

Authors:  P H Richter; J Ross
Journal:  Biophys Chem       Date:  1980-12       Impact factor: 2.352

4.  Oscillations and control features in glycolysis: numerical analysis of a comprehensive model.

Authors:  Y Termonia; J Ross
Journal:  Proc Natl Acad Sci U S A       Date:  1981-05       Impact factor: 11.205

  4 in total
  6 in total

1.  Predictions of thermodynamic efficiency in a pumped biochemical reaction.

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Journal:  Proc Natl Acad Sci U S A       Date:  1989-12       Impact factor: 11.205

2.  Dependence of thermodynamic efficiency of proton pumps on frequency of oscillatory concentration of ATP.

Authors:  M Schell; K Kundu; J Ross
Journal:  Proc Natl Acad Sci U S A       Date:  1987-01       Impact factor: 11.205

3.  Entrainment and resonance in glycolysis.

Authors:  Y Termonia; J Ross
Journal:  Proc Natl Acad Sci U S A       Date:  1982-05       Impact factor: 11.205

4.  Common phenotype of resting mouse extensor digitorum longus and soleus muscles: equal ATPase and glycolytic flux during transient anoxia.

Authors:  Kalyan C Vinnakota; Joshua Rusk; Lauren Palmer; Eric Shankland; Martin J Kushmerick
Journal:  J Physiol       Date:  2010-03-22       Impact factor: 5.182

5.  In silico Determination of Some Conditions Leading to Glycolytic Oscillations and Their Interference With Some Other Processes in E. coli Cells.

Authors:  Gheorghe Maria
Journal:  Front Chem       Date:  2020-10-28       Impact factor: 5.221

6.  Tryptophan Production Maximization in a Fed-Batch Bioreactor with Modified E. coli Cells, by Optimizing Its Operating Policy Based on an Extended Structured Cell Kinetic Model.

Authors:  Gheorghe Maria; Laura Renea
Journal:  Bioengineering (Basel)       Date:  2021-12-10
  6 in total

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