Department of Physics, Universidad de los Andes, Bogotá, Colombia.
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, 19716, USA.
NPJ Syst Biol Appl. 2024 May 29;10(1):61. doi: 10.1038/s41540-024-00383-z.
Under ideal conditions, Escherichia coli cells divide after adding a fixed cell size, a strategy known as the adder. This concept applies to various microbes and is often explained as the division that occurs after a certain number of stages, associated with the accumulation of precursor proteins at a rate proportional to cell size. However, under poor media conditions, E. coli cells exhibit a different size regulation. They are smaller and follow a sizer-like division strategy where the added size is inversely proportional to the size at birth. We explore three potential causes for this deviation: degradation of the precursor protein and two models where the propensity for accumulation depends on the cell size: a nonlinear accumulation rate, and accumulation starting at a threshold size termed the commitment size. These models fit the mean trends but predict different distributions given the birth size. To quantify the precision of the models to explain the data, we used the Akaike information criterion and compared them to open datasets of slow-growing E. coli cells in different media. We found that none of the models alone can consistently explain the data. However, the degradation model better explains the division strategy when cells are larger, whereas size-related models (power-law and commitment size) account for smaller cells. Our methodology proposes a data-based method in which different mechanisms can be tested systematically.
在理想条件下,大肠杆菌细胞在添加固定细胞大小后分裂,这是一种称为加法器的策略。这个概念适用于各种微生物,通常解释为在一定数量的阶段后发生的分裂,与前体蛋白的积累速率与细胞大小成正比有关。然而,在较差的培养基条件下,大肠杆菌细胞表现出不同的大小调节。它们更小,并遵循类似于大小的分裂策略,其中添加的大小与出生时的大小成反比。我们探讨了导致这种偏差的三个潜在原因:前体蛋白的降解以及两种积累倾向取决于细胞大小的模型:非线性积累率和从称为承诺大小的阈值大小开始的积累。这些模型拟合了平均趋势,但给出了不同的出生大小分布。为了量化模型解释数据的精度,我们使用了赤池信息量准则,并将其与不同培养基中生长缓慢的大肠杆菌细胞的公开数据集进行了比较。我们发现,没有一个模型可以单独一致地解释数据。然而,当细胞较大时,降解模型更好地解释了分裂策略,而与大小相关的模型(幂律和承诺大小)则解释了较小的细胞。我们的方法提出了一种基于数据的方法,可以系统地测试不同的机制。