Literature DB >> 35259959

The energy cost and optimal design of networks for biological discrimination.

Qiwei Yu1,2, Anatoly B Kolomeisky1,3,4,5, Oleg A Igoshin1,3,6,7.   

Abstract

Many biological processes discriminate between correct and incorrect substrates through the kinetic proofreading mechanism that enables lower error at the cost of higher energy dissipation. Elucidating physico-chemical constraints for global minimization of dissipation and error is important for understanding enzyme evolution. Here, we identify theoretically a fundamental error-cost bound that tightly constrains the performance of proofreading networks under any parameter variations preserving the rate discrimination between substrates. The bound is kinetically controlled, i.e. completely determined by the difference between the transition state energies on the underlying free energy landscape. The importance of the bound is analysed for three biological processes. DNA replication by T7 DNA polymerase is shown to be nearly optimized, i.e. its kinetic parameters place it in the immediate proximity of the error-cost bound. The isoleucyl-tRNA synthetase (IleRS) of E. coli also operates close to the bound, but further optimization is prevented by the need for reaction speed. In contrast, E. coli ribosome operates in a high-dissipation regime, potentially in order to speed up protein production. Together, these findings establish a fundamental error-dissipation relation in biological proofreading networks and provide a theoretical framework for studying error-dissipation trade-off in other systems with biological discrimination.

Entities:  

Keywords:  biochemical networks; cellular energetics; energy dissipation; kinetic proofreading; non-equilibrium thermodynamics; reaction kinetics and dynamics

Mesh:

Year:  2022        PMID: 35259959      PMCID: PMC8905179          DOI: 10.1098/rsif.2021.0883

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  40 in total

1.  Evolutionary trade-offs, Pareto optimality, and the geometry of phenotype space.

Authors:  O Shoval; H Sheftel; G Shinar; Y Hart; O Ramote; A Mayo; E Dekel; K Kavanagh; U Alon
Journal:  Science       Date:  2012-04-26       Impact factor: 47.728

Review 2.  Evolutionary optimization of speed and accuracy of decoding on the ribosome.

Authors:  Ingo Wohlgemuth; Corinna Pohl; Joerg Mittelstaet; Andrey L Konevega; Marina V Rodnina
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-10-27       Impact factor: 6.237

3.  Speed, dissipation, and error in kinetic proofreading.

Authors:  Arvind Murugan; David A Huse; Stanislas Leibler
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-11       Impact factor: 11.205

4.  Trade-Offs between Speed, Accuracy, and Dissipation in tRNAIle Aminoacylation.

Authors:  Qiwei Yu; Joel D Mallory; Anatoly B Kolomeisky; Jiqiang Ling; Oleg A Igoshin
Journal:  J Phys Chem Lett       Date:  2020-05-06       Impact factor: 6.475

5.  Open-system nonequilibrium steady state: statistical thermodynamics, fluctuations, and chemical oscillations.

Authors:  Hong Qian
Journal:  J Phys Chem B       Date:  2006-08-10       Impact factor: 2.991

6.  Proofreading through spatial gradients.

Authors:  Vahe Galstyan; Kabir Husain; Fangzhou Xiao; Arvind Murugan; Rob Phillips
Journal:  Elife       Date:  2020-12-24       Impact factor: 8.140

7.  Kinetic proofreading: a new mechanism for reducing errors in biosynthetic processes requiring high specificity.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1974-10       Impact factor: 11.205

8.  Energy considerations for kinetic proofreading in biosynthesis.

Authors:  C Blomberg; M Ehrenberg
Journal:  J Theor Biol       Date:  1981-02-21       Impact factor: 2.691

9.  Thermodynamic constraints on kinetic proofreading in biosynthetic pathways.

Authors:  M Ehrenberg; C Blomberg
Journal:  Biophys J       Date:  1980-09       Impact factor: 4.033

10.  Kinetic control of stationary flux ratios for a wide range of biochemical processes.

Authors:  Joel D Mallory; Anatoly B Kolomeisky; Oleg A Igoshin
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-07       Impact factor: 11.205

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  1 in total

1.  The energy cost and optimal design of networks for biological discrimination.

Authors:  Qiwei Yu; Anatoly B Kolomeisky; Oleg A Igoshin
Journal:  J R Soc Interface       Date:  2022-03-09       Impact factor: 4.118

  1 in total

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