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Quantifying dynamic mechanisms of auto-regulation in Escherichia coli with synthetic promoter in response to varying external phosphate levels

机译:定量大肠杆菌中具有合成启动子的自动调节动态机制,以响应外部磷酸盐水平的变化

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Escherichia coli have developed one of the most efficient regulatory response mechanisms to phosphate starvation. The machinery involves a cascade with a two-component system (TCS) that relays the external signal to the genetic circuit, resulting in a feedback response. Achieving a quantitative understanding of this system has implications in synthetic biology and biotechnology, for example, in applications for wastewater treatment. To this aim, we present a computational model and experimental results with a detailed description of the TCS, consisting of PhoR and PhoB, together with the mechanisms of gene expression. The model is parameterised within the feasible range, and fitted to the dynamic response of our experimental data on PhoB as well as PhoA, the product of this network that is used in alkaline phosphatase production. Deterministic and stochastic simulations with our model predict the regulation dynamics in higher external phosphate concentrations while reproducing the experimental observations. In a cycle of simulations and experimental verification, our model predicts and explores phenotypes with various synthetic promoter designs that can optimise the inorganic phosphate intake in E. coli. Sensitivity analysis demonstrates that the Pho-controlled genes have a significant influence over the phosphate response. Together with experimental findings, our model should thus provide insights for the investigations on engineering new sensors and regulators for living technologies.
机译:大肠杆菌已开发出最有效的针对磷酸盐饥饿的调节应答机制之一。该机器包括一个带有两组件系统(TCS)的级联,该组件将外部信号中继到遗传电路,从而产生反馈响应。对这个系统的定量理解对合成生物学和生物技术有影响,例如在废水处理中的应用。为此,我们提出了一个由ThoR和PhoB组成的TCS的详细描述的计算模型和实验结果,以及基因表达的机制。该模型在可行范围内进行参数设置,并适合我们在PhoB以及PhoA(用于碱性磷酸酶生产中的网络产品)的实验数据的动态响应。用我们的模型进行的确定性和随机模拟可预测较高外部磷酸盐浓度下的调节动态,同时重现实验结果。在仿真和实验验证的循环中,我们的模型通过各种合成启动子设计来预测和探索表型,这些设计可以优化大肠杆菌中无机磷酸盐的摄入量。敏感性分析表明,Pho控制的基因对磷酸盐反应具有重大影响。因此,连同实验结果一起,我们的模型应该为研究用于居住技术的新型传感器和调节器提供洞察力。

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