Physical Constraints on the Rhythmicity of the Biological Clock
arXiv:2507.20750 · doi:10.1103/9byx-f411
Abstract
Circadian rhythms in living organisms are temporal orders emerging from biochemical circuits driven out of equilibrium. Here, considering the KaiABC system, a minimal model in the synthetic biology, we study how the oscillation emerges from the circuit made of three Kai proteins and ATP alone. The phase diagram constructed in terms of KaiC and KaiA concentrations reveals a narrowly bounded oscillatory phase, which naturally explains arrhythmia upon protein over-expression. As dictated by the cost-precision trade-offs of the thermodynamic uncertainty relations, the presence of intrinsic noise, amplified in small systems, demands higher free energy cost to achieve greater rhythmic precision. The cost-minimizing condition within the oscillatory phase is found to generate 21-hr rhythm, which is entrained to 24-hr environmental signals as long as the forcing amplitude is greater than \% of the metabolic rate. An optimal level of intrinsic noise can also induce oscillations even beyond the Hopf bifurcation, effectively expanding the oscillatory phase. Our study clarifies how the physical factors, such as regulatory mechanism, energy cost, and stochastic noise contribute to the operation of biological clocks.
17 pages, 14 figures
References in corpus (11)
- Thermodynamic uncertainty relation for biomolecular processes
- An allosteric model of KaiC phosphorylation
- Cost and Precision of Brownian Clocks
- Universal bound on the efficiency of molecular motors
- Fundamental Bounds on First Passage Time Fluctuations for Currents
- Operationally accessible bounds on fluctuations and entropy production in periodically driven systems
- Nonequilibrium thermodynamics of coupled molecular oscillators: The energy cost and optimal design for synchronization
- Variance Sum Rule for Entropy Production
- Mechanism of robust circadian oscillation of KaiC phosphorylation in vitro
- Thermodynamic cost, speed, fluctuations, and error reduction of biological copy machines
- Thermodynamic uncertainty relation to assess biological processes