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Circadian KaiC Phosphorylation: A Multi-Layer Network

Circadian KaiC phosphorylation in cyanobacteria reconstituted in vitro recently initiates a series of studies experimentally and theoretically to explore its mechanism. In this paper, we report a dynamic diversity in hexameric KaiC phosphoforms using a multi-layer reaction network based on the noneq...

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Detalles Bibliográficos
Autores principales: Li, Congxin, Chen, Xiaofang, Wang, Pengye, Wang, Weichi
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773046/
https://www.ncbi.nlm.nih.gov/pubmed/19936045
http://dx.doi.org/10.1371/journal.pcbi.1000568
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author Li, Congxin
Chen, Xiaofang
Wang, Pengye
Wang, Weichi
author_facet Li, Congxin
Chen, Xiaofang
Wang, Pengye
Wang, Weichi
author_sort Li, Congxin
collection PubMed
description Circadian KaiC phosphorylation in cyanobacteria reconstituted in vitro recently initiates a series of studies experimentally and theoretically to explore its mechanism. In this paper, we report a dynamic diversity in hexameric KaiC phosphoforms using a multi-layer reaction network based on the nonequivalence of the dual phosphorylation sites (S431 and T432) in each KaiC subunit. These diverse oscillatory profiles can generate a kaleidoscopic phase modulation pattern probably responsible for the genome-wide transcription rhythms directly and/or indirectly in cyanobacteria. Particularly, our model reveals that a single KaiC hexamer is an energy-based, phosphorylation-dependent and self-regulated circadian oscillator modulated by KaiA and KaiB. We suggest that T432 is the main regulator for the oscillation amplitude, while S431 is the major phase regulator. S431 and T432 coordinately control the phosphorylation period. Robustness of the Kai network was examined by mixing samples in different phases, and varying protein concentrations and temperature. Similar results were obtained regardless of the deterministic or stochastic method employed. Therefore, the dynamic diversities and robustness of Kai oscillator make it a qualified core pacemaker that controls the cellular processes in cyanobacteria pervasively and accurately.
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spelling pubmed-27730462009-11-24 Circadian KaiC Phosphorylation: A Multi-Layer Network Li, Congxin Chen, Xiaofang Wang, Pengye Wang, Weichi PLoS Comput Biol Research Article Circadian KaiC phosphorylation in cyanobacteria reconstituted in vitro recently initiates a series of studies experimentally and theoretically to explore its mechanism. In this paper, we report a dynamic diversity in hexameric KaiC phosphoforms using a multi-layer reaction network based on the nonequivalence of the dual phosphorylation sites (S431 and T432) in each KaiC subunit. These diverse oscillatory profiles can generate a kaleidoscopic phase modulation pattern probably responsible for the genome-wide transcription rhythms directly and/or indirectly in cyanobacteria. Particularly, our model reveals that a single KaiC hexamer is an energy-based, phosphorylation-dependent and self-regulated circadian oscillator modulated by KaiA and KaiB. We suggest that T432 is the main regulator for the oscillation amplitude, while S431 is the major phase regulator. S431 and T432 coordinately control the phosphorylation period. Robustness of the Kai network was examined by mixing samples in different phases, and varying protein concentrations and temperature. Similar results were obtained regardless of the deterministic or stochastic method employed. Therefore, the dynamic diversities and robustness of Kai oscillator make it a qualified core pacemaker that controls the cellular processes in cyanobacteria pervasively and accurately. Public Library of Science 2009-11-20 /pmc/articles/PMC2773046/ /pubmed/19936045 http://dx.doi.org/10.1371/journal.pcbi.1000568 Text en Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Congxin
Chen, Xiaofang
Wang, Pengye
Wang, Weichi
Circadian KaiC Phosphorylation: A Multi-Layer Network
title Circadian KaiC Phosphorylation: A Multi-Layer Network
title_full Circadian KaiC Phosphorylation: A Multi-Layer Network
title_fullStr Circadian KaiC Phosphorylation: A Multi-Layer Network
title_full_unstemmed Circadian KaiC Phosphorylation: A Multi-Layer Network
title_short Circadian KaiC Phosphorylation: A Multi-Layer Network
title_sort circadian kaic phosphorylation: a multi-layer network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773046/
https://www.ncbi.nlm.nih.gov/pubmed/19936045
http://dx.doi.org/10.1371/journal.pcbi.1000568
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