Design, construction and optimization of formaldehyde growth biosensors with broad application in biotechnology

IF 5.7 2区 生物学 Microbial Biotechnology Pub Date : 2024-07-19 DOI:10.1111/1751-7915.14527
Karin Schann, Jenny Bakker, Maximilian Boinot, Pauline Kuschel, Hai He, Maren Nattermann, Nicole Paczia, Tobias Erb, Arren Bar-Even, Sebastian Wenk
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Abstract

Formaldehyde is a key metabolite in natural and synthetic one-carbon metabolism. To facilitate the engineering of formaldehyde-producing enzymes, the development of sensitive, user-friendly, and cost-effective detection methods is required. In this study, we engineered Escherichia coli to serve as a cellular biosensor capable of detecting a broad range of formaldehyde concentrations. Using both natural and promiscuous formaldehyde assimilation enzymes, we designed three distinct E. coli growth biosensor strains that depend on formaldehyde for cell growth. These strains were engineered to be auxotrophic for one or several essential metabolites that could be produced through formaldehyde assimilation. The respective assimilating enzyme was expressed from the genome to compensate the auxotrophy in the presence of formaldehyde. We first predicted the formaldehyde dependency of the biosensors by flux balance analysis and then analysed it experimentally. Subsequent to strain engineering, we enhanced the formaldehyde sensitivity of two biosensors either through adaptive laboratory evolution or modifications at metabolic branch points. The final set of biosensors demonstrated the ability to detect formaldehyde concentrations ranging approximately from 30 μM to 13 mM. We demonstrated the application of the biosensors by assaying the in vivo activity of different methanol dehydrogenases in the most sensitive strain. The fully genomic nature of the biosensors allows them to be deployed as “plug-and-play” devices for high-throughput screenings of extensive enzyme libraries. The formaldehyde growth biosensors developed in this study hold significant promise for advancing the field of enzyme engineering, thereby supporting the establishment of a sustainable one-carbon bioeconomy.

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设计、构建和优化可广泛应用于生物技术的甲醛生长生物传感器
甲醛是天然和合成一碳代谢中的一种关键代谢物。为了促进甲醛生产酶的工程化,需要开发灵敏、易用且经济高效的检测方法。在这项研究中,我们改造了大肠杆菌,使其成为一种细胞生物传感器,能够检测各种浓度的甲醛。利用天然和杂合甲醛同化酶,我们设计了三种不同的大肠杆菌生长生物传感器菌株,这些菌株的细胞生长依赖于甲醛。这些菌株被设计成对一种或几种可通过甲醛同化产生的必需代谢物具有辅助营养能力。从基因组中表达相应的同化酶,以补偿在甲醛存在时的辅助营养。我们首先通过通量平衡分析预测了生物传感器对甲醛的依赖性,然后进行了实验分析。在菌株工程之后,我们通过适应性实验室进化或在代谢分支点进行修改,提高了两种生物传感器对甲醛的敏感性。最终的一组生物传感器显示出了检测甲醛浓度的能力,范围大约在 30 μM 到 13 mM 之间。我们通过检测最敏感菌株体内不同甲醇脱氢酶的活性,展示了生物传感器的应用。生物传感器的全基因组性质使其可以作为 "即插即用 "设备,用于大量酶库的高通量筛选。本研究开发的甲醛生长生物传感器有望推动酶工程领域的发展,从而为建立可持续的一碳生物经济提供支持。
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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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