Department of Chemistry, Rice University, Houston, Texas; Center for Theoretical Biological Physics, Rice University, Houston, Texas.
Department of Physics, University of Cambridge, Cambridge, United Kingdom.
Biophys J. 2020 Mar 10;118(5):1213-1220. doi: 10.1016/j.bpj.2020.01.017. Epub 2020 Jan 28.
Populations of genetically identical cells generally show a large variability in cell phenotypes, which is typically associated with the stochastic nature of gene expression processes. It is widely believed that a significant source of such randomness is transcriptional bursting, which is when periods of active production of RNA molecules alternate with periods of RNA degradation. However, the molecular mechanisms of such strong fluctuations remain unclear. Recent studies suggest that DNA supercoiling, which happens during transcription, might be directly related to the bursting behavior. Stimulated by these observations, we developed a stochastic mechanochemical model of supercoiling-induced transcriptional bursting in which the RNA synthesis leads to the buildup of torsion in DNA. This slows down the RNA production until it is bound by the enzyme gyrase to DNA, which releases the stress and allows for the RNA synthesis to restart with the original rate. Using a thermodynamically consistent coupling between mechanical and chemical processes, the dynamic properties of transcription are explicitly evaluated. In addition, a first-passage method to evaluate the dynamics of transcription is developed. Theoretical analysis shows that transcriptional bursting is observed when both the supercoiling and the mechanical stress release due to gyrase are present in the system. It is also found that the overall RNA production rate is not constant and depends on the number of previously synthesized RNA molecules. A comparison with experimental data on bacteria allows us to evaluate the energetic cost of supercoiling during transcription. It is argued that the relatively weak mechanochemical coupling might allow transcription to be regulated most effectively.
具有相同遗传基因的细胞群体通常在细胞表型上表现出很大的可变性,这通常与基因表达过程的随机性质有关。人们普遍认为,这种随机性的一个重要来源是转录爆发,即在 RNA 分子的活跃产生期与 RNA 降解期之间交替。然而,这种强波动的分子机制仍不清楚。最近的研究表明,转录过程中的 DNA 超螺旋化可能与爆发行为直接相关。受这些观察结果的启发,我们开发了一个超螺旋诱导转录爆发的随机力学化学模型,其中 RNA 合成导致 DNA 中的扭转积累。这会减缓 RNA 的产生,直到它被酶拓扑异构酶绑定到 DNA 上,从而释放压力并允许 RNA 以原始速率重新开始合成。通过在机械和化学过程之间建立热力学一致的耦合,明确评估了转录的动态特性。此外,还开发了一种用于评估转录动力学的首次通过方法。理论分析表明,当系统中存在超螺旋和拓扑异构酶释放的机械应力时,会观察到转录爆发。还发现,总的 RNA 产生率不是恒定的,并且取决于先前合成的 RNA 分子的数量。与细菌上的实验数据进行比较,使我们能够评估转录过程中超螺旋化的能量成本。有人认为,相对较弱的力学化学耦合同样可以使转录得到最有效的调控。