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An integrated network approach identifies the isobutanol response network of Escherichia coli

机译:集成网络方法可识别大肠杆菌的异丁醇响应网络

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摘要

Isobutanol has emerged as a potential biofuel due to recent metabolic engineering efforts. Here we used gene expression and transcription network connectivity data, genetic knockouts, and network component analysis (NCA) to map the initial isobutanol response network of Escherichia coli under aerobic conditions. NCA revealed profound perturbations to respiration. Further investigation showed ArcA as an important mediator of this response. Quinone/quinol malfunction was postulated to activate ArcA, Fur, and PhoB in this study. In support of this hypothesis, quinone-linked ArcA and Fur target expressions were significantly less perturbed by isobutanol under fermentative growth whereas quinol-linked PhoB target expressions remained activated, and isobutanol impeded growth on glycerol, which requires quinones, more than on glucose. In addition, ethanol, n-butanol, and isobutanol response networks were compared. n-Butanol and isobutanol responses were qualitatively similar, whereas ethanol had notable induction differences of pspABCDE and ndh, whose gene products manage proton motive force. The network described here could aid design and comprehension of alcohol tolerance, whereas the approach provides a general framework to characterize complex phenomena at the systems level.
机译:由于最近的代谢工程方面的努力,异丁醇已成为一种潜在的生物燃料。在这里,我们使用基因表达和转录网络连接性数据,基因敲除和网络组件分析(NCA)来绘制有氧条件下大肠杆菌的初始异丁醇响应网络。 NCA揭示了对呼吸的深刻干扰。进一步的调查表明,ArcA是这种反应的重要中介。在这项研究中,假定醌/喹诺酮故障可激活ArcA,Fur和PhoB。支持该假设的是,异丁醇在发酵生长条件下对醌连接的ArcA和Fur靶标表达的干扰显着较少,而对苯二酚连接的PhoB靶标表达仍处于激活状态,异丁醇阻碍了在需要醌的甘油上的生长,而不是在葡萄糖上。此外,比较了乙醇,正丁醇和异丁醇的响应网络。从质量上讲,正丁醇和异丁醇的反应相似,而乙醇在pspABCDE和ndh的诱导产物上有显着差异,其基因产物控制质子动力。这里描述的网络可以帮助设计和理解酒精耐受性,而该方法提供了在系统级别表征复杂现象的通用框架。

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