Department of Bio-System Design, Bio-Architecture Center, Kyushu University, Hakozaki, Fukuoka 812-8581, Japan.
Math Biosci. 2010 Nov;228(1):1-9. doi: 10.1016/j.mbs.2010.08.001. Epub 2010 Aug 11.
A number of recent research studies have focused on theoretical and experimental investigation of a bottleneck in a metabolic reaction network. However, there is no study on how the bottleneck affects the performance of a fermentation process when a product is highly toxic and remarkably influences the growth and death of cells. The present work therefore studies the effect of bottleneck on product concentrations under different product toxicity conditions. A generalized bottleneck model in a fed-batch fermentation is constructed including both the bottleneck and the product influences on cell growth and death. The simulation result reveals that when the toxic product strongly influences the cell growth and death, the final product concentration is hardly changed even if the bottleneck is removed, whereas it is markedly changed by the degree of product toxicity. The performance of an ethanol fermentation process is also discussed as a case example to validate this result. In conclusion, when the product is highly toxic, one cannot expect a significant increase in the final product concentration even if removing the bottleneck; rather, it may be more effective to somehow protect the cells so that they can continuously produce the product.
许多最近的研究集中在代谢反应网络瓶颈的理论和实验研究上。然而,当产物具有高毒性并显著影响细胞生长和死亡时,对于瓶颈如何影响发酵过程的性能,还没有研究。因此,本工作研究了在不同产物毒性条件下瓶颈对产物浓度的影响。在分批补料发酵中构建了一个广义瓶颈模型,其中包括瓶颈和产物对细胞生长和死亡的影响。模拟结果表明,当有毒产物强烈影响细胞生长和死亡时,即使去除瓶颈,最终产物浓度也几乎不变,而产物毒性的程度则显著改变。还讨论了乙醇发酵过程的性能作为一个案例来验证这一结果。总之,当产物具有高毒性时,即使去除瓶颈,最终产物浓度也不可能显著增加;相反,以某种方式保护细胞以使它们能够持续生产产物可能更为有效。