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Division accuracy in a stochastic model of Min oscillations in Escherichia coli

机译:大肠杆菌最小振荡随机模型的除法精度

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Accurate cell division in Escherichia coli requires the Min proteins MinC, MinD, and MinE as well as the presence of nucleoids. MinD and MinE exhibit spatial oscillations, moving from pole to pole of the bacterium, resulting in an average MinD concentration that is low at the center of the cell and high at the poles. This concentration minimum is thought to signal the site of cell division. Deterministic models of the Min oscillations reproduce many observed features of the system, including the concentration minimum of MinD. However, there are only a few thousand Min proteins in a bacterium, so stochastic effects are likely to play an important role. Here, we show that Monte Carlo simulations with a large number of proteins agree well with the results from a deterministic treatment of the equations. The location of minimum local MinD concentration is too variable to account for cell division accuracy in wild-type, but is consistent with the accuracy of cell division in cells without nucleoids. This finding confirms the need to include additional mechanisms, such as reciprocal interactions with the cell division ring or positioning of the nucleoids, to explain wild-type accuracy.
机译:大肠杆菌中的精确细胞分裂需要Min蛋白MinC,MinD和MinE以及类核苷酸的存在。 MinD和MinE表现出空间振荡,从细菌的极点移动到极点,导致平均MinD浓度在细胞中心低,在极间高。该最低浓度被认为是细胞分裂部位的信号。 Min振荡的确定性模型重现了系统的许多观察到的特征,包括MinD的最小浓度。但是,细菌中只有数千种Min蛋白,因此随机效应可能起重要作用。在这里,我们证明了使用大量蛋白质进行的蒙特卡洛模拟与方程式的确定性处理结果十分吻合。最小局部MinD浓度的位置变化太大,无法说明野生型细胞分裂的准确性,但与没有核苷的细胞中细胞分裂的准确性一致。这一发现证实需要包括其他机制,例如与细胞分裂环的相互作用或核苷酸的定位,以解释野生型的准确性。

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