Van Dien S J, Keasling J D
Department of Chemical Engineering, University of California, Berkeley, CA 94720-1462, USA.
J Theor Biol. 1998 Jan 7;190(1):37-49. doi: 10.1006/jtbi.1997.0524.
A mathematical model of the Escherichia coli Pho regulon was developed to study the induction of the phoA gene by starvation for inorganic phosphate. The model includes phosphate transport, detection of the phosphate concentration at the cell surface, and the signal transduction cascade ultimately leading to the induction of various Pho-controlled genes. Four parameters were manipulated to match the dynamic response of a culture growing with phosphate as the growth-limiting substrate to available experimental data for alkaline phosphatase production and internal phosphate concentration. Steady-state analysis demonstrates that the cascade design of this genetic control system gives rise to a harp transition between the uninduced and induced state for a small change in the external phosphate concentration. Parameter sensitivity indicates that the dissociation constant of the repression complex (which holds PhoR in the inactive form when phosphate is in excess), the rate constants for PhoB and PhoR phosphorylation, and the rate constant for induced transcription of Pho genes have the most influence over the expression of Pho-controlled genes. Changes in the repression complex dissociation constant and the PhoB/PhoR phosphorylation rates alter the sensitivity of the phosphate-starvation response to external phosphate concentration, whereas changes in the transcription rate constant affect the gain of the system. The model also predicts that additional Pho promoter (i.e., for the production of a heterologous protein from the phoA promoter on a plasmid) titrate activator protein PhoB A, such that a lower phosphate concentration is required to initiate expression from a high-copy plasmid than from a single-copy plasmid or the chromosome.
构建了大肠杆菌Pho调控子的数学模型,以研究无机磷酸盐饥饿诱导phoA基因的机制。该模型包括磷酸盐转运、细胞表面磷酸盐浓度检测以及最终导致各种Pho控制基因诱导的信号转导级联反应。通过操纵四个参数,使以磷酸盐作为生长限制底物生长的培养物的动态响应与碱性磷酸酶产生和内部磷酸盐浓度的现有实验数据相匹配。稳态分析表明,这种遗传控制系统的级联设计会在外部磷酸盐浓度发生小变化时,在未诱导状态和诱导状态之间产生急剧转变。参数敏感性表明,阻遏复合物的解离常数(当磷酸盐过量时使PhoR保持无活性形式)、PhoB和PhoR磷酸化的速率常数以及Pho基因诱导转录的速率常数对Pho控制基因的表达影响最大。阻遏复合物解离常数和PhoB/PhoR磷酸化速率的变化会改变磷酸盐饥饿反应对外部磷酸盐浓度的敏感性,而转录速率常数的变化会影响系统的增益。该模型还预测,额外的Pho启动子(即用于从质粒上的phoA启动子生产异源蛋白)会滴定激活蛋白PhoB A,因此与单拷贝质粒或染色体相比,从高拷贝质粒启动表达所需的磷酸盐浓度更低。