Albert Jaroslav, Rooman Marianne
BioModeling, BioInformatics & BioProcesses, Université Libre de Bruxelles, Brussels, Belgium; Applied Physics Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
BioModeling, BioInformatics & BioProcesses, Université Libre de Bruxelles, Brussels, Belgium.
PLoS One. 2015 Jul 30;10(7):e0134239. doi: 10.1371/journal.pone.0134239. eCollection 2015.
One of the functions of the cell nucleus is to help regulate gene expression by controlling molecular traffic across the nuclear envelope. Here we investigate, via stochastic simulation, what effects, if any, does segregation of a system into the nuclear and cytoplasmic compartments have on the stochastic properties of a motif with a negative feedback. One of the effects of the nuclear barrier is to delay the nuclear protein concentration, allowing it to behave in a switch-like manner. We found that this delay, defined as the time for the nuclear protein concentration to reach a certain threshold, has an extremely narrow distribution. To show this, we considered two models. In the first one, the proteins could diffuse freely from cytoplasm to nucleus (simple model); and in the second one, the proteins required assistance from a special class of proteins called importins. For each model, we generated fifty parameter sets, chosen such that the temporal profiles they effectuated were very similar, and whose average threshold time was approximately 150 minutes. The standard deviation of the threshold times computed over one hundred realizations were found to be between 1.8 and 7.16 minutes across both models. To see whether a genetic motif in a prokaryotic cell can achieve this degree of precision, we also simulated five variations on the coherent feed-forward motif (CFFM), three of which contained a negative feedback. We found that the performance of these motifs was nowhere near as impressive as the one found in the eukaryotic cell; the best standard deviation was 6.6 minutes. We argue that the significance of these results, the fact and necessity of spatio-temporal precision in the developmental stages of eukaryotes, and the absence of such a precision in prokaryotes, all suggest that the nucleus has evolved, in part, under the selective pressure to achieve highly predictable phenotypes.
细胞核的功能之一是通过控制分子穿过核膜的运输来帮助调节基因表达。在此,我们通过随机模拟研究,将系统分隔为细胞核和细胞质区室会对具有负反馈的基序的随机特性产生何种影响(若有影响的话)。核屏障的作用之一是延迟核蛋白浓度的变化,使其呈现出类似开关的行为方式。我们发现,这种延迟(定义为核蛋白浓度达到特定阈值的时间)具有极其狭窄的分布。为了证明这一点,我们考虑了两种模型。在第一个模型中,蛋白质可以从细胞质自由扩散到细胞核(简单模型);在第二个模型中,蛋白质需要一类名为输入蛋白的特殊蛋白质的协助。对于每个模型,我们生成了五十组参数集,选择这些参数集是为了使它们所产生的时间分布曲线非常相似,并且其平均阈值时间约为150分钟。在两个模型中,通过一百次实现计算得到的阈值时间的标准差在1.8至7.16分钟之间。为了探究原核细胞中的遗传基序是否能达到这种精度,我们还对相干前馈基序(CFFM)的五种变体进行了模拟,其中三种包含负反馈。我们发现,这些基序的表现远不如在真核细胞中发现的那样令人印象深刻;最佳标准差为6.6分钟。我们认为,这些结果的意义、真核生物发育阶段中时空精度的事实和必要性,以及原核生物中缺乏这种精度,都表明细胞核部分地是在实现高度可预测表型的选择压力下进化而来的。