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基于模型的E.E.的表征大肠杆菌菌株的葡萄糖吸收受损

Niels Krausch¹, Lucas Kaspersetz¹, Rogelio Diego Gaytán-Castro²

¹Chair of Bioprocess Engineering, Institute of Biotechnology, Technische Universität Berlin, Ackerstr. 76, 13355 Berlin, Germany.

Bioengineering (Basel, Switzerland)

|July 29, 2023

概括

这项研究通过使用机器人平台和数学建模来表征大肠杆菌淘汰菌株,其葡萄糖吸收有限. 结果显示基质吸收和酸盐生产减少,证明了有效的菌株分析.

科学领域:

生物技术和微生物生理学
大肠杆菌的新陈代谢工程.

背景情况:

大肠杆菌 (Escherichia coli) 是一个关键的工业微生物,通常在限制葡萄糖的食批次培养中生长,以避免乙酸溢出代谢.
有限制葡萄糖吸收的替代品种提供了潜在的好处,但在工艺条件下需要进行表征.

研究的目的:

为了表征具有有限葡萄糖吸收能力的示例性大肠杆菌淘汰 (KO) 菌株.
为了证明高通量机器人平台在不同尺度上进行菌株表征的效率.
用机械数学模型分析在过多葡萄糖条件下的应变性能.

主要方法:

在三种尺度上对三种大肠杆菌KO菌株的表征 (microtiter板,10毫升和100毫升生物反应器).
在多余葡萄糖条件下种植,初始葡萄糖度有所变化.
增长,基质消耗,呼吸和溢出代谢的测量,用机械数学模型进行分析.

主要成果:

单种和双种KO突变体的特异基质吸收率 (qSmax) 和乙酸生产率 (qApmax) 降低.
较高的葡萄糖度对生物质产率系数 (YXSem) 有负面影响.
观察到特定氧气吸收率 (qOmax) 的差异,以及可比的呼吸和二氧化碳生产率.

结论:

自动化机器人平台与数学建模相结合,可实现快速和全面的菌株表征.
有限摄取葡萄糖的KO菌株显示出改善大肠杆菌代谢控制的前景.
结果可以在不同的反应堆尺度上转移,验证平台的实用性.

关键词:

高吞吐量,具有高吞吐量.实验室自动化实验室自动化基于模型的基于模型的模型菌株特征表征菌株特征表征

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