Literature DB >> 2806240

Effect of evolution on the kinetic properties of enzymes.

G Pettersson1.   

Abstract

1. The likely effect of a selective pressure in the direction of higher reaction fluxes on rate parameters for enzyme reactions confirming to Michaelis-Menten kinetics has been analyzed on the basis of relationships which take into account the changes in metabolite concentrations that must be associated with mutational changes of the kinetic properties of enzymes participating in metabolic pathways. 2. Arguments are presented to show that such a pressure should tend to increase kcat, whereas Km may decrease or increase depending on what stage of evolutionary development the enzyme has reached. While the early evolution of enzymes must have been associated with decreasing Km values, an increase of both kcat and Km is mandatory for enhancement of the rate performance of extensively developed enzymes which exhibit kcat/Km ratios approaching the diffusion-control limit. The latter limit is dependent on the equilibrium constant for the catalysed reaction. 3. Enzymes which have reached the diffusion-control limit for their second-order rate performance cannot be considered as perfectly evolved catalysts, but may well undergo further development towards a higher catalytic efficiency in response to the improvement of other enzymes in the metabolic pathway with regard to the criterion of an enhanced reaction flux. Such evolution is associated with an increase of the metabolite levels in the pathway, and a simple model system is examined in order to illustrate the ultimate limits for the metabolite levels and reaction flux that may obtain. 4. The theoretical evidence presented lends no support to previous proposals that certain enzymes (e.g. triosephosphate isomerase), or enzymes showing certain kinetic characteristics (e.g. kcat/Km quotients approaching 10(9) s-1 M-1), have reached the end of their evolutionary development. A claim that any specific enzyme has reached catalytic perfection would provide the unreasonable inference that all enzymes participating in intermediary metabolism have reached catalytic perfection.

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Year:  1989        PMID: 2806240     DOI: 10.1111/j.1432-1033.1989.tb15050.x

Source DB:  PubMed          Journal:  Eur J Biochem        ISSN: 0014-2956


  9 in total

1.  Kinetic parameters of the acyl-enzyme mechanism and conditions for quasi-equilibrium and for optimal catalytic characteristics.

Authors:  K Brocklehurst; C M Topham
Journal:  Biochem J       Date:  1990-09-01       Impact factor: 3.857

2.  Synthetic pathway for production of five-carbon alcohols from isopentenyl diphosphate.

Authors:  Howard H Chou; Jay D Keasling
Journal:  Appl Environ Microbiol       Date:  2012-08-31       Impact factor: 4.792

3.  Control analysis applied to single enzymes: can an isolated enzyme have a unique rate-limiting step?

Authors:  G C Brown; C E Cooper
Journal:  Biochem J       Date:  1993-08-15       Impact factor: 3.857

4.  The catalytic consequences of experimental evolution. Studies on the subunit structure of the second (ebg) beta-galactosidase of Escherichia coli, and on catalysis by ebgab, an experimental evolvant containing two amino acid substitutions.

Authors:  A C Elliott; S K; M L Sinnott; P J Smith; J Bommuswamy; Z Guo; B G Hall; Y Zhang
Journal:  Biochem J       Date:  1992-02-15       Impact factor: 3.857

5.  Large changes of transition-state structure during experimental evolution of an enzyme.

Authors:  K Srinivasan; A Konstantinidis; M L Sinnott; B G Hall
Journal:  Biochem J       Date:  1993-04-01       Impact factor: 3.857

6.  Systemic properties of metabolic networks lead to an epistasis-based model for heterosis.

Authors:  Julie B Fiévet; Christine Dillmann; Dominique de Vienne
Journal:  Theor Appl Genet       Date:  2009-11-15       Impact factor: 5.699

7.  Effects of growth rate, cell size, motion, and elemental stoichiometry on nutrient transport kinetics.

Authors:  Kevin J Flynn; David O F Skibinski; Christian Lindemann
Journal:  PLoS Comput Biol       Date:  2018-04-27       Impact factor: 4.475

8.  Modeling genome-wide enzyme evolution predicts strong epistasis underlying catalytic turnover rates.

Authors:  David Heckmann; Daniel C Zielinski; Bernhard O Palsson
Journal:  Nat Commun       Date:  2018-12-10       Impact factor: 14.919

9.  The number of catalytic cycles in an enzyme's lifetime and why it matters to metabolic engineering.

Authors:  Andrew D Hanson; Donald R McCarty; Christopher S Henry; Xiaochen Xian; Jaya Joshi; Jenelle A Patterson; Jorge D García-García; Scott D Fleischmann; Nathan D Tivendale; A Harvey Millar
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-30       Impact factor: 11.205

  9 in total

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