Abstract Cyanobacteria are the simplest organisms to have circadian clocks. The central oscillator in cyanobacteria is composed by a transcriptional/translational feedback loop (TTFL) and a post-translational oscillator (PTO). The PTO is a core pacemaker which consists of three proteins KaiA, KaiB and KaiC. KaiA stimulates the phosphorylation of KaiC, while KaiB inhibits the activity of KaiA. The cyanobacterial circadian clock is an interesting topic for researchers and many mathematical models have been constructed. However, the current mathematical models of the cyanobacterial circadian clock have been made only considering the interactions between Kai proteins. CikA, as an input pathway component, plays an essential role in the circadian clock, whose mutation results in abnormal rhythms. The regulation mechanism of CikA remains unclear. In this paper, we develop a detailed mathematical model for the cyanobacterial circadian clock with incorporation CikA-regulation. Based on numerical simulations, we explore the dynamic properties of the circadian clock regulated by CikA. The results show that the regulation of CikA makes the system more sensitive. In detail, CikA strengthens the central role of PTO and improves the adaptability of the circadian clock against the change of environment. With CikA, the system is able to modulate its period more easily to face environmental perturbation. CikA also enhances slightly the fitness of cyanobacteria. The findings of this paper can supplement the biological research and may help us more clearly understand the cyanobacterial circadian clock regulated by other proteins.
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11672177).
Corresponding Authors:
Ying Li
E-mail: leeliying@163.com
Cite this article:
Ying Li(李莹), Guang-Kun Zhang(张广鹍), and Yan-Ming Ge (葛焰明) Dynamic behavior of the cyanobacterial circadian clock with regulation of CikA 2021 Chin. Phys. B 30 108702
[1] Dunlap J C 1999 Cell96 271 [2] Ishiura M, Kutsuna S, Aoki S, Iwasaki H, Andersson C R, Tanabe A, Golden S S, Johnson C H and Kondo T 1998 Science281 1519 [3] Nishiwaki T, Iwasaki H, Ishiura M and Kondo T 2000 Proc. Natl. Acad. Sci. USA97 495 [4] Iwasaki H and Kondo T 2004 J. Biol. Rhythms19 436 [5] Qin X M, Byrne M, Xu Y, Mori T and Johnson C H 2010 PLoS Biol.8 e1000394 [6] Iwasaki H, Nishiwaki T, Kitayama Y, Nakajima M and Kondo T 2002 Proc. Natl. Acad. Sci. USA99 15788 [7] Takigawaimamura H and Mochizuki A 2006 J. Theor. Biol.241 178 [8] Nakajima M, Imai K, Ito H, Nishiwaki T and Murayama Y 2010 Science308 414 [9] Akiyama S, Nohara A, Ito K and Maeda Y 2008 Mol. Cell29 703 [10] Boyd J S, Bordowitz J R, Bree A C and Golden S S 2013 Proc. Natl. Acad. Sci. USA110 13950 [11] Li Y, Zhang G K and Song Z G 2020 Chin. Phys. B29 098703 [12] Gutu A and O'Shea E K 2013 Mol. Cell50 288 [13] Tseng R, Goularte N F, Chavan A, Jansen L, Cohen S E, Chang Y G, Heisler J, Sheng L, Michael A K, Tripathi S, Golden S S, Andy L W and Partch C L 2017 Science355 1174 [14] Kaur M, Ng A, Kim P, Diekman C and Kim Y I 2019 J. Biol. Rhythms34 218 [15] Rust M J, Golden S S and Shea E K O 2011 Science331 220 [16] Li Y and Liu Z 2014 Int. J. Bifurcat. Chaos24 3367 [17] Li Y and Liu Z 2016 Physica A457 62 [18] Gu C G, Wang P and Yang H J 2019 Chin. Phys. B28 018701 [19] Kitayama Y, Iwasaki H, Nishiwaki T and Kondo T 2003 EMBO J.22 2127 [20] Mochizuki A 2005 J. Theor. Biol.236 291 [21] Kageyama H, Nishiwaki T, Nakajima M, Iwasaki H, Oyama T and Kondo T 2006 Mol. Cell23 161 [22] Stelling J, Gilles E D and Doyle Ⅲ F J. 2004 Proc. Natl. Acad. Sci. USA101 13210 [23] Wright K P J, McHill A W, Birks B R, Griffin B R, Rusterholz T and Chinoy E D 2013 Curr. Biol.23 1554 [24] Aschoff J, Hoffmann K and Wever R 1975 Chronobiologia2 23 [25] Jewett M E, Kronauer R E and Czeisler C A 1991 Nature350 59 [26] Hellweger F L 1995 Ecol. Model221 1620 [27] Wirz-Justice A, Graw P, Krauchi K, Gisin B, Jochum A, Arendt J, Fisch H U, Buddeberg C and Poldinger W 1993 Arch Gen Psychiat50 929 [28] Dijk D J, Boulos Z, Eastman C I, Lewy A J, Campbell S S and Terman M 1995 J. Biol. Rhythms10 113
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