The Institute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Phys Biol. 2013 Oct;10(5):056005. doi: 10.1088/1478-3975/10/5/056005. Epub 2013 Sep 16.
Biochemical reaction networks often exhibit spontaneous self-sustained oscillations. An example is the circadian oscillator that lies at the heart of daily rhythms in behavior and physiology in most organisms including humans. While the period of these oscillators evolved so that it resonates with the 24 h daily environmental cycles, the precision of the oscillator (quantified via the Q factor) is another relevant property of these cell-autonomous oscillators. Since this quantity can be measured in individual cells, it is of interest to better understand how this property behaves across mathematical models of these oscillators. Current theoretical schemes for computing the Q factors show limitations for both high-dimensional models and in the vicinity of Hopf bifurcations. Here, we derive low-noise approximations that lead to numerically stable schemes also in high-dimensional models. In addition, we generalize normal form reductions that are appropriate near Hopf bifurcations. Applying our approximations to two models of circadian clocks, we show that while the low-noise regime is faithfully recapitulated, increasing the level of noise leads to species-dependent precision. We emphasize that subcomponents of the oscillator gradually decouple from the core oscillator as noise increases, which allows us to identify the subnetworks responsible for robust rhythms.
生化反应网络通常表现出自发的持续振荡。一个例子是生物钟振荡器,它是大多数生物体(包括人类)行为和生理日常节律的核心。虽然这些振荡器的周期进化得与 24 小时的日常环境周期相共振,但振荡器的精度(通过 Q 因子量化)是这些自主振荡器的另一个相关特性。由于这个数量可以在单个细胞中测量,因此了解这个特性在这些振荡器的数学模型中的表现如何是很有意义的。目前计算 Q 因子的理论方案在高维模型和 Hopf 分岔附近都存在局限性。在这里,我们推导出低噪声逼近,从而在高维模型中也得到数值稳定的方案。此外,我们还推广了适用于 Hopf 分岔附近的正规形约化。将我们的逼近应用于两个生物钟模型,我们表明,虽然低噪声区域被忠实地再现,但增加噪声水平会导致物种依赖的精度。我们强调,随着噪声的增加,振荡器的子组件逐渐与核心振荡器解耦,这使我们能够识别负责稳健节律的子网。