Literature DB >> 28296888

A thermodynamically consistent model of the post-translational Kai circadian clock.

Joris Paijmans1, David K Lubensky2, Pieter Rein Ten Wolde1.   

Abstract

The principal pacemaker of the circadian clock of the cyanobacterium S. elongatus is a protein phosphorylation cycle consisting of three proteins, KaiA, KaiB and KaiC. KaiC forms a homohexamer, with each monomer consisting of two domains, CI and CII. Both domains can bind and hydrolyze ATP, but only the CII domain can be phosphorylated, at two residues, in a well-defined sequence. While this system has been studied extensively, how the clock is driven thermodynamically has remained elusive. Inspired by recent experimental observations and building on ideas from previous mathematical models, we present a new, thermodynamically consistent, statistical-mechanical model of the clock. At its heart are two main ideas: i) ATP hydrolysis in the CI domain provides the thermodynamic driving force for the clock, switching KaiC between an active conformational state in which its phosphorylation level tends to rise and an inactive one in which it tends to fall; ii) phosphorylation of the CII domain provides the timer for the hydrolysis in the CI domain. The model also naturally explains how KaiA, by acting as a nucleotide exchange factor, can stimulate phosphorylation of KaiC, and how the differential affinity of KaiA for the different KaiC phosphoforms generates the characteristic temporal order of KaiC phosphorylation. As the phosphorylation level in the CII domain rises, the release of ADP from CI slows down, making the inactive conformational state of KaiC more stable. In the inactive state, KaiC binds KaiB, which not only stabilizes this state further, but also leads to the sequestration of KaiA, and hence to KaiC dephosphorylation. Using a dedicated kinetic Monte Carlo algorithm, which makes it possible to efficiently simulate this system consisting of more than a billion reactions, we show that the model can describe a wealth of experimental data.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28296888      PMCID: PMC5371392          DOI: 10.1371/journal.pcbi.1005415

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  61 in total

1.  Nucleotide binding and autophosphorylation of the clock protein KaiC as a circadian timing process of cyanobacteria.

Authors:  T Nishiwaki; H Iwasaki; M Ishiura; T Kondo
Journal:  Proc Natl Acad Sci U S A       Date:  2000-01-04       Impact factor: 11.205

2.  Circadian formation of clock protein complexes by KaiA, KaiB, KaiC, and SasA in cyanobacteria.

Authors:  Hakuto Kageyama; Takao Kondo; Hideo Iwasaki
Journal:  J Biol Chem       Date:  2002-11-18       Impact factor: 5.157

3.  Stoichiometric interactions between cyanobacterial clock proteins KaiA and KaiC.

Authors:  Fumio Hayashi; Hiroki Ito; Masayasu Fujita; Ryo Iwase; Tatsuya Uzumaki; Masahiro Ishiura
Journal:  Biochem Biophys Res Commun       Date:  2004-03-26       Impact factor: 3.575

4.  Circadian autodephosphorylation of cyanobacterial clock protein KaiC occurs via formation of ATP as intermediate.

Authors:  Taeko Nishiwaki; Takao Kondo
Journal:  J Biol Chem       Date:  2012-04-09       Impact factor: 5.157

5.  An allosteric model of circadian KaiC phosphorylation.

Authors:  Jeroen S van Zon; David K Lubensky; Pim R H Altena; Pieter Rein ten Wolde
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-25       Impact factor: 11.205

6.  A sequential program of dual phosphorylation of KaiC as a basis for circadian rhythm in cyanobacteria.

Authors:  Taeko Nishiwaki; Yoshinori Satomi; Yohko Kitayama; Kazuki Terauchi; Reiko Kiyohara; Toshifumi Takao; Takao Kondo
Journal:  EMBO J       Date:  2007-08-23       Impact factor: 11.598

7.  Discrete gene replication events drive coupling between the cell cycle and circadian clocks.

Authors:  Joris Paijmans; Mark Bosman; Pieter Rein Ten Wolde; David K Lubensky
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

8.  An amplified sensitivity arising from covalent modification in biological systems.

Authors:  A Goldbeter; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1981-11       Impact factor: 11.205

9.  Coupling of a core post-translational pacemaker to a slave transcription/translation feedback loop in a circadian system.

Authors:  Ximing Qin; Mark Byrne; Yao Xu; Tetsuya Mori; Carl Hirschie Johnson
Journal:  PLoS Biol       Date:  2010-06-15       Impact factor: 8.029

10.  Functioning and robustness of a bacterial circadian clock.

Authors:  Sébastien Clodong; Ulf Dühring; Luiza Kronk; Annegret Wilde; Ilka Axmann; Hanspeter Herzel; Markus Kollmann
Journal:  Mol Syst Biol       Date:  2007-03-13       Impact factor: 11.429

View more
  13 in total

1.  The thermodynamic uncertainty relation in biochemical oscillations.

Authors:  Robert Marsland; Wenping Cui; Jordan M Horowitz
Journal:  J R Soc Interface       Date:  2019-05-31       Impact factor: 4.118

2.  Non-sinusoidal Waveform in Temperature-Compensated Circadian Oscillations.

Authors:  Shingo Gibo; Gen Kurosawa
Journal:  Biophys J       Date:  2019-01-15       Impact factor: 4.033

3.  Period Robustness and Entrainability of the Kai System to Changing Nucleotide Concentrations.

Authors:  Joris Paijmans; David K Lubensky; Pieter Rein Ten Wolde
Journal:  Biophys J       Date:  2017-07-11       Impact factor: 4.033

Review 4.  Structure, function, and mechanism of the core circadian clock in cyanobacteria.

Authors:  Jeffrey A Swan; Susan S Golden; Andy LiWang; Carrie L Partch
Journal:  J Biol Chem       Date:  2018-02-13       Impact factor: 5.157

5.  KidA, a multi-PAS domain protein, tunes the period of the cyanobacterial circadian oscillator.

Authors:  Soo Ji Kim; Chris Chi; Gopal Pattanayak; Aaron R Dinner; Michael J Rust
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-06       Impact factor: 12.779

6.  Role of ATP Hydrolysis in Cyanobacterial Circadian Oscillator.

Authors:  Sumita Das; Tomoki P Terada; Masaki Sasai
Journal:  Sci Rep       Date:  2017-12-12       Impact factor: 4.379

7.  The importance of thermodynamics for molecular systems, and the importance of molecular systems for thermodynamics.

Authors:  Thomas E Ouldridge
Journal:  Nat Comput       Date:  2017-11-21       Impact factor: 1.690

8.  Bayesian modeling reveals metabolite-dependent ultrasensitivity in the cyanobacterial circadian clock.

Authors:  Lu Hong; Danylo O Lavrentovich; Archana Chavan; Eugene Leypunskiy; Eileen Li; Charles Matthews; Andy LiWang; Michael J Rust; Aaron R Dinner
Journal:  Mol Syst Biol       Date:  2020-06       Impact factor: 11.429

9.  Single-molecular and ensemble-level oscillations of cyanobacterial circadian clock.

Authors:  Sumita Das; Tomoki P Terada; Masaki Sasai
Journal:  Biophys Physicobiol       Date:  2018-05-26

Review 10.  Computational modelling unravels the precise clockwork of cyanobacteria.

Authors:  Nicolas M Schmelling; Ilka M Axmann
Journal:  Interface Focus       Date:  2018-10-19       Impact factor: 3.906

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.