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

生物传感器 甲醛 甲醛脱氢酶 代谢工程 化学 大肠杆菌 生物化学 纳米技术 材料科学 基因 NAD+激酶
作者
Karin Schann,J. Bakker,Maximilian Boinot,Pauline Kuschel,Hai He,Maren Nattermann,Nicole Paczia,Tobias J. Erb,Arren Bar‐Even,Sebastian Wenk
出处
期刊:Microbial biotechnology [Wiley]
卷期号:17 (7) 被引量:4
标识
DOI:10.1111/1751-7915.14527
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
袋袋发布了新的文献求助10
刚刚
墨锦发布了新的文献求助10
1秒前
还不错的橙子完成签到,获得积分10
2秒前
可爱的函函应助求求了采纳,获得10
3秒前
4秒前
绿鬼蓝完成签到 ,获得积分10
4秒前
今后应助大王叫我来巡山采纳,获得10
4秒前
4秒前
5秒前
wanzhh19完成签到,获得积分20
6秒前
独特忆灵完成签到,获得积分10
6秒前
搜集达人应助nana采纳,获得10
7秒前
GY关闭了GY文献求助
7秒前
aixiaoming0503完成签到,获得积分0
7秒前
8秒前
张鹏鹏发布了新的文献求助30
8秒前
Sweeney发布了新的文献求助10
8秒前
吉以寒完成签到,获得积分10
8秒前
xxyy完成签到,获得积分10
10秒前
你听得到完成签到,获得积分10
10秒前
11秒前
英姑应助Austin采纳,获得10
11秒前
xxyy发布了新的文献求助10
13秒前
萌農完成签到 ,获得积分10
13秒前
14秒前
15秒前
养乐多完成签到,获得积分10
15秒前
无情芷珊发布了新的文献求助10
16秒前
小牛发布了新的文献求助10
16秒前
12356完成签到,获得积分10
17秒前
17秒前
从容的丹南完成签到 ,获得积分10
17秒前
jiao完成签到,获得积分10
18秒前
18秒前
19秒前
火星上的海亦完成签到,获得积分10
20秒前
20秒前
11发布了新的文献求助10
22秒前
染染完成签到,获得积分10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7707755
求助须知:如何正确求助?哪些是违规求助? 9265209
关于积分的说明 20053372
捐赠科研通 7284216
什么是DOI,文献DOI怎么找? 3296106
关于科研通互助平台的介绍 2451002
邀请新用户注册赠送积分活动 2303106