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Optimal Allocation of Bacterial Protein Resources under Nonlethal Protein Maturation Stress

机译:非致死蛋白成熟胁迫下细菌蛋白资源的优化分配

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摘要

Under different environmental stresses, bacteria optimize the allocation of cellular resources through a variety of mechanisms. Recently, researchers have used phenomenological models to quantitatively characterize the allocation of bacterial protein resources under metabolic and translational limitations. Some stresses interfere with protein maturation, thereby enhancing the expression of chaperones and proteases. However, the reallocation of protein resources caused by such environmental stresses has not been modeled quantitatively. Here, we developed a dynamic model of coarse-grained protein resource fluxes based on a self-replicator that includes protein maturation and degradation. Through flux balance analysis, it produces a constrained optimization problem that can be solved analytically. Accordingly, we predicted protein allocation fractions as functions of growth rate under different limitations, which are basically in line with empirical data. We cultured Escherichia coli in media containing different concentrations of chloramphenicol, acetic acid, and paraquat and measured the functional relationship between the expression level of β-galactosidase driven by a constitutive promoter and the bacterial growth rate, respectively. Taking into account the possible mode of stress limitation on the fluxes, our model reproduces this experimentally measured relationship. In addition, our model is in good agreement with the experimental relationship between growth rate and proteome fraction of unnecessary protein in E. coli, considering the unoptimized upregulation of chaperones with useless protein overexpression. The results provide a more systematic view of bacterial stress adaptation that may help in designing for bioengineering or medical interventions.
机译:在不同的环境压力下,细菌通过各种机制优化细胞资源的分配。最近,研究人员已经使用现象学模型来定量表征在代谢和翻译限制下细菌蛋白质资源的分配。一些压力会干扰蛋白质的成熟,从而增强分子伴侣和蛋白酶的表达。但是,由这种环境压力引起的蛋白质资源的重新分配尚未进行定量建模。在这里,我们基于包括蛋白质成熟和降解的自我复制器,开发了一种粗粒度蛋白质资源通量的动态模型。通过磁通平衡分析,它产生了一个约束优化问题,可以通过解析来解决。因此,我们在不同的限制条件下预测蛋白质分配分数随生长速度的变化,这与经验数据基本一致。我们在含有不同浓度氯霉素,乙酸和百草枯的培养基中培养大肠杆菌,并分别测量了由组成型启动子驱动的β-半乳糖苷酶表达水平与细菌生长速率之间的功能关系。考虑到通量应力限制的可能模式,我们的模型重现了这种实验测量的关系。此外,考虑到伴随无用蛋白过度表达的伴侣蛋白的未优化上调,我们的模型与大肠杆菌中不必要蛋白的蛋白质增长率和增长率之间的实验关系非常吻合。结果提供了细菌应激适应的更系统的观点,这可能有助于设计生物工程或医学干预措施。

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