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利用多生物传感器使能方法对大肠杆菌进行β-丙氨酸生产的代谢工程改造。

Metabolic engineering of E. coli for β-alanine production using a multi-biosensor enabled approach.

机构信息

Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA.

McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, TX, USA.

出版信息

Metab Eng. 2022 Nov;74:24-35. doi: 10.1016/j.ymben.2022.08.012. Epub 2022 Sep 5.

Abstract

β-alanine is an important biomolecule used in nutraceuticals, pharmaceuticals, and chemical synthesis. The relatively eco-friendly bioproduction of β-alanine has recently attracted more interest than petroleum-based chemical synthesis. In this work, we developed two types of in vivo high-throughput screening platforms, wherein one was utilized to identify a novel target ribonuclease E (encoded by rne) as well as a redox-cofactor balancing module that can enhance de novo β-alanine biosynthesis from glucose, and the other was employed for screening fermentation conditions. When combining these approaches with rational upstream and downstream module engineering, an engineered E. coli producer was developed that exhibited 3.4- and 6.6-fold improvement in β-alanine yield (0.85 mol β-alanine/mole glucose) and specific β-alanine production (0.74 g/L/OD), respectively, compared to the parental strain in a minimal medium. Across all of the strains constructed, the best yielding strain exhibited 1.08 mol β-alanine/mole glucose (equivalent to 81.2% of theoretic yield). The final engineered strain produced 6.98 g/L β-alanine in a batch-mode bioreactor and 34.8 g/L through a whole-cell catalysis. This approach demonstrates the utility of biosensor-enabled high-throughput screening for the production of β-alanine.

摘要

β-丙氨酸是一种重要的生物分子,用于营养保健品、药物和化学合成。最近,相对于石油基化学合成,β-丙氨酸的相对环保的生物生产引起了更多的关注。在这项工作中,我们开发了两种体内高通量筛选平台,其中一种用于鉴定一种新型靶核糖核酸内切酶 E(由 rne 编码)以及一种氧化还原辅因子平衡模块,该模块可以增强从头开始从葡萄糖合成β-丙氨酸,另一种用于筛选发酵条件。当将这些方法与合理的上游和下游模块工程相结合时,开发了一种经过工程改造的大肠杆菌生产菌,与亲本菌株相比,在最小培养基中β-丙氨酸产量(0.85 mol β-丙氨酸/摩尔葡萄糖)和特定β-丙氨酸生产(0.74 g/L/OD)分别提高了 3.4 倍和 6.6 倍。在所构建的所有菌株中,产率最高的菌株产生 1.08 mol β-丙氨酸/摩尔葡萄糖(相当于理论产率的 81.2%)。最终工程菌株在分批式生物反应器中生产 6.98 g/L β-丙氨酸,通过全细胞催化生产 34.8 g/L β-丙氨酸。该方法证明了基于生物传感器的高通量筛选在β-丙氨酸生产中的实用性。

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