在代谢工程中的发酵状态标记规则设计任务.
Egils Stalidzans1, Reinis Muiznieks1, Konstantins Dubencovs2,3
1Institute of Microbiology and Biotechnology, University of Latvia, Jelgavas Street 1, LV-1004 Riga, Latvia.
Bioengineering (Basel, Switzerland)
|December 23, 2023
概括
这项研究引入了一种新的发酵控制方法,使用基因组规模的代谢模型来确定稳定状态标记规则. 这种方法可以实现自动化生物反应器控制,以优化大肠杆菌中酸盐的生产.
科学领域:
- 代谢工程是代谢工程.
- 系统生物学 系统生物学
- 生物工艺工程 生物工艺工程
背景情况:
- 基因组规模的代谢模型为了解细胞代谢提供了一种机械方法.
- 目前的发酵控制策略缺乏自动化,模型驱动的稳定状态检测.
- 将代谢模型与生物反应器控制相结合,可以提高生物过程的效率.
研究的目的:
- 通过基因组规模的代谢模型,提出并展示一种识别发酵稳定状态标记规则的方法.
- 整合标记规则识别与生产增长合用于代谢工程.
- 设计一种特定的菌株和标记规则,用于Escherichia coli中的糖酸盐生产.
主要方法:
- 使用了Escherichia coli MG1655.5的IML1515基因组规模代谢模型.
- 拟议的代谢物流和生物质增长率作为稳定状态标记规则的标准.
- 在大肠杆菌中确定了两种基因缺失,以实现对糖酸盐生产的可测量标记规则.
- 开发了代谢工程的客观功能,包括生产力和传感器参数.
主要成果:
- 根据增长率,CO2和乙醇生产,证明了酸盐生产的特定标记规则.
- 展示了在种植控制系统中实施标记规则的两阶段方法.
- 提出了代谢工程的客观功能,包括生产力和规则检测传感器参数.
结论:
- 基因组规模的代谢模型可以有效地用于导出用于发酵控制的逻辑标记规则.
- 拟议的标记规则方法可以自动检测生物反应器中所需的稳定状态.
- 这种方法促进了代谢工程,通过将基于模型的见解与生物过程控制相结合,以改善生产.
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