Literature DB >> 6462136

Control of the flux in the arginine pathway of Neurospora crassa. Modulations of enzyme activity and concentration.

H J Flint, R W Tateson, I B Barthelmess, D J Porteous, W D Donachie, H Kacser.   

Abstract

The influence of particular enzyme activities on the flux of metabolites in a pathway can be estimated by 'modulating' enzymes (i.e. changing turnover or concentration) and measuring the response in various parts of the system. By controlling the nuclear ration of two genetically different nuclear types in heterokaryons, the enzyme concentrations at four different steps in the arginine pathway were decreased over a range. This range was extended by the use of bradytrophs, mutant strains specifying enzymes with greatly diminished enzyme activities. Strains altered simultaneously at more than one step were also constructed by genetic recombination. By measuring the outputs of the pathway and the steady-state concentrations of intermediate pools, the fluxes in different parts of the pathway were calculated. This allowed the construction of flux/enzyme relationships, the slope of which is a measure of the sensitivity of a flux to the change in enzyme activity at that step. All fluxes were found to be considerably buffered for quite substantial decreases in the activities of all enzymes. Mass action plays an important part in this phenomenon, as do inhibition and repression. Because of the existence of expansion fluxes in growing systems, we find quantitatively different fluxes in different parts of the single pathway. For the same reason some enzyme modulations given decreased fluxes in one part and increased fluxes in another. The understanding of control in the pathway thus involves consideration of many mechanisms operating simultaneously and the estimation of changes in the whole system. The concept of a 'rate-limiting step' is found to be inadequate and is replaced by a quantitative measure, the Sensitivity Coefficient, which takes account of all the interactions. It is shown that control of the flux is shared among all the enzymes of the pathway. The results are discussed in terms of the theory of flux control.

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Year:  1981        PMID: 6462136      PMCID: PMC1163529          DOI: 10.1042/bj2000231

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  16 in total

1.  Steady states of general multi-enzyme networks and their associated properties. Computational approaches.

Authors:  J A. Burns
Journal:  FEBS Lett       Date:  1969-03       Impact factor: 4.124

2.  Mathematical analysis of multienzyme systems. II. Steady state and transient control.

Authors:  R Heinrich; T A Rapoport
Journal:  Biosystems       Date:  1975-07       Impact factor: 1.973

3.  THE REGULATION OF PYRIMIDINE BIOSYNTHESIS IN NEUROSPORA CASSA. II. HETEROKARYONS AND THE ROLE OF THE "REGULATORY MECHANISMS".

Authors:  W D DONACHIE
Journal:  Biochim Biophys Acta       Date:  1964-02-10

4.  A linear steady-state treatment of enzymatic chains. A mathematical model of glycolysis of human erythrocytes.

Authors:  T A Rapoport; R Heinrich; G Jacobasch; S Rapoport
Journal:  Eur J Biochem       Date:  1974-02-15

5.  Acetylglutamate kinase: a feedback-sensitive enzyme of arginine biosynthesis in Neurospora.

Authors:  J J Cybis; R H Davis
Journal:  Biochem Biophys Res Commun       Date:  1974-09-23       Impact factor: 3.575

6.  Control of the flux to arginine in Neurospora crassa: de-repression of the last three enzymes of the arginine pathway.

Authors:  I B Barthelmess; C F Curtis; H Kacser
Journal:  J Mol Biol       Date:  1974-08-05       Impact factor: 5.469

7.  Use of external, biosynthetic, and organellar arginine by Neurospora.

Authors:  K N Subramanian; R L Weiss; R H Davis
Journal:  J Bacteriol       Date:  1973-07       Impact factor: 3.490

8.  General control of arginine biosynthetic enzymes in Neurospora crassa.

Authors:  H J Flint; B F Kemp
Journal:  J Gen Microbiol       Date:  1981-05

9.  The molecular basis of dominance.

Authors:  H Kacser; J A Burns
Journal:  Genetics       Date:  1981 Mar-Apr       Impact factor: 4.562

10.  The simulation of the urea cycle: correlation of effects due to inborn errors in the catalytic properties of the enzymes with clinical-biochemical observations.

Authors:  P W Kuchel; D V Roberts; L W Nichol
Journal:  Aust J Exp Biol Med Sci       Date:  1977-06
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  26 in total

1.  A strategy for increasing an in vivo flux by genetic manipulations. The tryptophan system of yeast.

Authors:  P Niederberger; R Prasad; G Miozzari; H Kacser
Journal:  Biochem J       Date:  1992-10-15       Impact factor: 3.857

2.  Control analysis of rat liver glycolysis under different glucose concentrations. The substrate approach and the role of glucokinase.

Authors:  E Meléndez-Hevia; F Mateo; N V Torres
Journal:  Mol Cell Biochem       Date:  1992-09-22       Impact factor: 3.396

Review 3.  Metabolic control analysis: a survey of its theoretical and experimental development.

Authors:  D A Fell
Journal:  Biochem J       Date:  1992-09-01       Impact factor: 3.857

4.  Detailed protocol and critical view for the analysis of control in metabolic systems by shortening and enzyme titration.

Authors:  N V Torres; E Meléndez-Hevia
Journal:  Mol Cell Biochem       Date:  1991-02-27       Impact factor: 3.396

5.  Determination of Flux Control Coefficients from transient metabolite concentrations.

Authors:  J Delgado; J C Liao
Journal:  Biochem J       Date:  1992-03-15       Impact factor: 3.857

Review 6.  Quantitative approaches to the analysis of the control and regulation of microbial metabolism.

Authors:  H V Westerhoff; W van Heeswijk; D Kahn; D B Kell
Journal:  Antonie Van Leeuwenhoek       Date:  1991 Oct-Nov       Impact factor: 2.271

Review 7.  Quantification of control of microbial metabolism by substrates and enzymes.

Authors:  K van Dam; N Jansen
Journal:  Antonie Van Leeuwenhoek       Date:  1991 Oct-Nov       Impact factor: 2.271

8.  Control theory of metabolic channelling.

Authors:  B N Kholodenko; M Cascante; H V Westerhoff
Journal:  Mol Cell Biochem       Date:  1995-02-23       Impact factor: 3.396

9.  Metabolic control analysis of biochemical pathways based on a thermokinetic description of reaction rates.

Authors:  J Nielsen
Journal:  Biochem J       Date:  1997-01-01       Impact factor: 3.857

10.  A molecular investigation of genotype by environment interactions.

Authors:  A M Dean
Journal:  Genetics       Date:  1995-01       Impact factor: 4.562

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