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首页> 外文期刊>BMC Systems Biology >A systems biology approach to investigate the effect of pH-induced gene regulation on solvent production by Clostridium acetobutylicum in continuous culture
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A systems biology approach to investigate the effect of pH-induced gene regulation on solvent production by Clostridium acetobutylicum in continuous culture

机译:系统生物学方法研究pH诱导的基因调控对丙酮丁醇梭菌连续培养中溶剂产生的影响

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Background Clostridium acetobutylicum is an anaerobic bacterium which is known for its solvent-producing capabilities, namely regarding the bulk chemicals acetone and butanol, the latter being a highly efficient biofuel. For butanol production by C. acetobutylicum to be optimized and exploited on an industrial scale, the effect of pH-induced gene regulation on solvent production by C. acetobutylicum in continuous culture must be understood as fully as possible. Results We present an ordinary differential equation model combining the metabolic network governing solvent production with regulation at the genetic level of the enzymes required for this process. Parameterizing the model with experimental data from continuous culture, we demonstrate the influence of pH upon fermentation products: at high pH (pH 5.7) acids are the dominant product while at low pH (pH 4.5) this switches to solvents. Through steady-state analyses of the model we focus our investigations on how alteration in gene expression of C. acetobutylicum could be exploited to increase butanol yield in a continuous culture fermentation. Conclusions Incorporating gene regulation into the model of solvent production by C. acetobutylicum enables an accurate representation of the pH-induced switch to solvent production to be obtained and theoretical investigations of possible synthetic-biology approaches to be pursued. Steady-state analyses suggest that, to increase butanol yield, alterations in the expression of single solvent-associated genes are insufficient; a more complex approach targeting two or more genes is required.
机译:背景技术丙酮丁醇梭菌(Clostridium acetobutylicum)是一种厌氧细菌,以其产生溶剂的能力而著称,即涉及散装化学品丙酮和丁醇,后者是高效的生物燃料。为了在工业规模上优化和利用丙酮丁醇梭菌生产丁醇,在连续培养中必须充分理解pH诱导的基因调控对丙酮丁醇梭菌生产溶剂的影响。结果我们提出了一个普通的微分方程模型,该模型结合了控制溶剂生产的代谢网络和对该过程所需酶的遗传水平的调控。使用来自连续培养的实验数据对模型进行参数化,我们证明了pH对发酵产物的影响:在高pH(pH 5.7)时,酸是主要产物,而在低pH(pH 4.5)时,酸转变为溶剂。通过对该模型的稳态分析,我们的研究集中在如何利用丙酮丁醇梭菌基因表达的改变来提高连续培养发酵中丁醇的产量。结论将基因调控结合到丙酮丁醇梭菌的溶剂生产模型中,可以准确表示pH诱导的向溶剂生产的转换,并进行可能的合成生物学方法的理论研究。稳态分析表明,要增加丁醇收率,单一溶剂相关基因表达的改变是不充分的。需要针对两个或多个基因的更复杂方法。

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