生物传感器驱动的菌株工程揭示了在Pseudomonas putida中最大限度地提高异二醇生产的关键细胞过程
Javier Menasalvas1,2,3, Shawn Kulakowski1,2, Yan Chen1,2
1The Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA 94608, USA.
Science advances
|October 24, 2025
概括
合成生物学使新设计成为可能,但对它们进行选是困难的. 这项研究开发了Pseudomonas putida中异二醇生产的生物传感器,通过识别和修复宿主限制,增加了36倍的产量.
科学领域:
- 合成生物学 合成生物学
- 代谢工程是代谢工程.
- 生物技术是生物技术.
背景情况:
- 合成生物学产生了许多设计,但选它们是一个瓶.
- 分析大型组合图书馆需要高通量方法.
- 异二醇是一种潜在的生物燃料前体,需要高效的生产方法.
研究的目的:
- 开发一种生物传感器驱动的选择策略,用于 Pseudomonas putida 中的异二醇生产.
- 在微生物异二醇合成中识别和克服宿主限制.
- 为了改造Pseudomonas putida,提高航空燃料前体的生产.
主要方法:
- 开发了对异二醇的生长合生物传感器.
- 为了选择,使用了一个聚合的CRISPR干扰 (CRISPRi) 库.
- 执行了代组合应变工程.
- 综合的奥米克分析 (基因组学,转录组学,代谢组学).
主要成果:
- 发现并描述了一种新型的非正规信号通路,其中涉及混合胺激酶和酒精脱酶.
- 通过CRISPRi查确定了关键宿主限制.
- 通过应变工程实现了异二醇标位的36倍增加到~900 mg/L.
- 证明了新陈代谢对氨基酸代谢的重新连接对于改善生产至关重要.
结论:
- 开发的生物传感器和选择策略有效地优化了复杂的异质路径.
- 工作流程可以发现新兴宿主生物学,用于代谢工程.
- 代谢对氨基酸催化物的重新连接增强了生物燃料前体的生产,这得到了技术经济分析的验证.
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