• DocumentCode
    573722
  • Title

    Comparing two models based on the transcriptional regulation by KaiC of cyanobacteria rhythm

  • Author

    Li, Ying ; Wu, Hui ; Luo, Jinhuo

  • Author_Institution
    Coll. of Inf. Technol., Shanghai Ocean Univ., Shanghai, China
  • fYear
    2012
  • fDate
    18-20 Aug. 2012
  • Firstpage
    216
  • Lastpage
    219
  • Abstract
    Circadian clocks are self-sustained biological oscillators that can be entrained by environmental cues. Cyanobacteria are the simplest organisms known to exhibit circadian rhythms, which is the fundamental process of homeostasis adapting to daily environmental changes. The cyanobacterial clock gene products, KaiA, KaiB, and KaiC interact with each other, and regulate KaiC phosphorylation and kaiBC expression in a circadian fashion. The total phosphorylation level of KaiC oscillates with a circadian period. In this paper, based on two possible transcriptional regulations, we examined numerically two models, the Transcriptional Activation Model and the Transcriptional Repression Model to generate circadian oscillation of kai genes. These two models both reproduce experimental observed sustained circadian oscillations in constant dark(DD) and constant light(LL). Comparing phase shifts between DD and LL in these two model, the Transcriptional Activation Model is consistent with the experimental observations, suggesting that the Transcriptional Activation Model may reflect the essence of the actual mechanism of kai oscillator in cyanobacteria.
  • Keywords
    cellular biophysics; circadian rhythms; microorganisms; oscillators; KaiA; KaiB; KaiC; Transcriptional Activation Model; Transcriptional Repression Model; circadian clock; circadian oscillation; constant dark condition; constant light condition; cyanobacteria rhythm; daily environmental change; homeostasis; phase shift; phosphorylation; self sustained biological oscillator; transcriptional regulation; Biological system modeling; Circadian rhythm; Clocks; Educational institutions; Mathematical model; Numerical models; Oscillators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Biology (ISB), 2012 IEEE 6th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-4396-1
  • Electronic_ISBN
    978-1-4673-4397-8
  • Type

    conf

  • DOI
    10.1109/ISB.2012.6314139
  • Filename
    6314139