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An improved kinetic model for the acetone-butanol-ethanol pathway of Clostridium acetobutylicum and model-based perturbation analysis

机译:丙酮丁醇梭菌丙酮-丁醇-乙醇途径的改进动力学模型及基于模型的扰动分析

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BackgroundComprehensive kinetic models of microbial metabolism can enhance the understanding of system dynamics and regulatory mechanisms, which is helpful in optimizing microbial production of industrial chemicals. Clostridium acetobutylicum produces solvents (acetone-butanol–ethanol, ABE) through the ABE pathway. To systematically assess the potential of increased production of solvents, kinetic modeling has been applied to analyze the dynamics of this pathway and make predictive simulations. Up to date, only one kinetic model for C. acetobutylicum supported by experiment has been reported as far as we know. But this model did not integrate the metabolic regulatory effects of transcriptional control and other complex factors. It also left out the information of some key intermediates (e.g. butyryl-phosphate).ResultsWe have developed an improved kinetic model featured with the incorporation of butyryl-phosphate, inclusion of net effects of complex metabolic regulations, and quantification of endogenous enzyme activity variations caused by these regulations. The simulation results of our model are more consistent with published experimental data than the previous model, especially in terms of reflecting the kinetics of butyryl-phosphate and butyrate. Through parameter perturbation analysis, it was found that butyrate kinase has large and positive influence on butanol production while CoA transferase has negative effect on butanol production, suggesting that butyrate kinase has more efficiency in converting butyrate to butanol than CoA transferase.ConclusionsOur improved kinetic model of the ABE process has more capacity in approaching real circumstances, providing much more insight in the regulatory mechanisms and potential key points for optimization of solvent productions. Moreover, the modeling strategy can be extended to other biological processes.
机译:背景技术微生物代谢的综合动力学模型可以增进对系统动力学和调节机制的了解,这有助于优化工业化学品的微生物生产。丙酮丁醇梭菌通过ABE途径产生溶剂(丙酮-丁醇-乙醇,ABE)。为了系统地评估溶剂产量增加的潜力,已将动力学模型用于分析该途径的动力学并进行预测性模拟。迄今为止,据我们所知,仅报道了一种由实验支持的丙酮丁醇梭菌的动力学模型。但是该模型没有整合转录控制和其他复杂因素的代谢调节作用。结果我们开发了一种改进的动力学模型,其特征在于加入了磷酸丁酰磷酸酯,包括了复杂的代谢调控的净效应以及定量了引起的内源酶活性变化根据这些规定。我们的模型的仿真结果比以前的模型与已发布的实验数据更加一致,特别是在反映磷酸丁酯和丁酸酯的动力学方面。通过参数扰动分析发现,丁酸激酶对丁醇的产生具有较大的积极影响,而CoA转移酶对丁醇的产生具有负面影响,这表明丁酸激酶比CoA转移酶具有更高的将丁酸转化为丁醇的效率。 ABE流程具有处理实际情况的更多能力,可提供更多有关监管机制的见解和优化溶剂生产的潜在关键点。而且,建模策略可以扩展到其他生物学过程。

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