Fu Haochen, Xiao Fangzhou, Jun Suckjoon
Department of Physics, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093.
Department of Physics and Department of Molecular Biology, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093.
bioRxiv. 2023 Jul 4:2023.05.26.542547. doi: 10.1101/2023.05.26.542547.
Balanced biosynthesis is the hallmark of bacterial cell physiology, where the concentrations of stable proteins remain steady. However, this poses a conceptual challenge to modeling the cell-cycle and cell-size controls in bacteria, as prevailing concentration-based eukaryote models are not directly applicable. In this study, we revisit and significantly extend the initiator-titration model, proposed thirty years ago, and explain how bacteria precisely and robustly control replication initiation based on the mechanism of protein copy-number sensing. Using a mean-field approach, we first derive an analytical expression of the cell size at initiation based on three biological mechanistic control parameters for an extended initiator-titration model. We also study the stability of our model analytically and show that initiation can become unstable in multifork replication conditions. Using simulations, we further show that the presence of the conversion between active and inactive initiator protein forms significantly represses initiation instability. Importantly, the two-step Poisson process set by the initiator titration step results in significantly improved initiation synchrony with scaling rather than the standard scaling in the Poisson process, where is the total number of initiators required for initiation. Our results answer two long-standing questions in replication initiation: (1) Why do bacteria produce almost two orders of magnitude more DnaA, the master initiator proteins, than required for initiation? (2) Why does DnaA exist in active (DnaA-ATP) and inactive (DnaA-ADP) forms if only the active form is competent for initiation? The mechanism presented in this work provides a satisfying general solution to how the cell can achieve precision control without sensing protein concentrations, with broad implications from evolution to the design of synthetic cells.
平衡生物合成是细菌细胞生理学的标志,在这种情况下,稳定蛋白质的浓度保持稳定。然而,这对模拟细菌中的细胞周期和细胞大小控制提出了概念上的挑战,因为基于浓度的主流真核生物模型并不直接适用。在本研究中,我们重新审视并显著扩展了三十年前提出的引发剂滴定模型,并解释了细菌如何基于蛋白质拷贝数感应机制精确且稳健地控制复制起始。使用平均场方法,我们首先基于扩展引发剂滴定模型的三个生物机制控制参数推导出起始时细胞大小的解析表达式。我们还对模型的稳定性进行了分析研究,结果表明在多叉复制条件下起始可能变得不稳定。通过模拟,我们进一步表明活性和非活性引发剂蛋白形式之间的转换显著抑制了起始不稳定性。重要的是,引发剂滴定步骤设定的两步泊松过程导致起始同步性显著提高,其缩放比例优于泊松过程中的标准缩放比例,其中 是起始所需引发剂的总数。我们的结果回答了复制起始中两个长期存在的问题:(1)为什么细菌产生的主起始蛋白DnaA比起始所需的数量多出近两个数量级?(2)如果只有活性形式的DnaA能够启动复制,为什么它还存在活性(DnaA-ATP)和非活性(DnaA-ADP)两种形式?这项工作中提出的机制为细胞如何在不感应蛋白质浓度的情况下实现精确控制提供了一个令人满意的通用解决方案,对从进化到合成细胞设计都有广泛的启示。