Regulation in Microorganisms

动态分析揭示了控制微生物对强迫反应的瓶颈的时间常数。提出了确定与时间常数有关的生化步骤，这些步骤在以前的研究中已经观察到。随着特定抑制剂的添加量的增加，现有时间常数的变化或新时间常数的产生将表明反应何时成为瓶颈。另一项研究将利用二极管阵列分光光度计追踪生物系统的频谱。计算机分析每个频率的时间常数应该表明，光谱的不同区域响应不同的时间常数，这应该表示控制方案中事件的时序。在微生物生长和生物合成的许多步骤和反应中，有一两个步骤和反应比其他步骤和反应慢，这是控制速度的瓶颈。完善的工程系统分析方法将与添加生化步骤的特定抑制剂和跟踪光谱响应的新方案相结合，以识别这些瓶颈。当确定了限制步骤后，就有可能修改生物体或提供关键底物以加快生产率。

Dynamic analysis reveals time constants of bottlenecks that govern responses of microorganisms to forcing. It is proposed to identify biochemical steps which relate to time constants that have been observed in previous research. Shifts in existing time constants or creation of new time constants as specific inhibitors are added in increasing amounts will indicate when a reaction becomes a bottleneck. Another line of research will track a spectrum of frequencies with a diode-array spectrophotometer as a biosystem is forced. Computerized analysis of the time constant for each frequency should show that different regions of the spectra respond with different time constants, and this should indicate the timing of events in the control scheme. Of the many steps and reactions for microbial growth and biosynthesis, one or two are slower than the others and are the bottlenecks that control rates. Well-established methods of engineering systems analysis will be combined with novel schemes for adding specific inhibitors of biochemical steps and tracking of spectral responses to identify these bottlenecks. When the limiting steps are identified, it may be possible to modify the organisms or to supply crucial substrates to speed productivity.