Design and Optimization of a Two-Component TorRST-Based Biosensor for Detection and Degradation of Trimethylamine N-Oxide.

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2025-01-09 DOI:10.1021/acssynbio.4c00778

Jian Zhang, Jianping Xu, Jinyan Yin, Xiaotong Wang, Qingsheng Qi, Qian Wang

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引用次数: 0

Abstract

In mammals, Trimethylamine N-oxide (TMAO) is involved in various physiological processes, and is considered a biomarker for multiple diseases. As a natural molecule found in marine organisms, TMAO is also an important indicator of seafood freshness. In this study, a TMAO biosensor was developed in Escherichia coli harnessing TorRST two-component system. By using a cascade amplification circuit based on HrpRS-P_hrpL, the biosensor's dynamic range was increased from 4.1- to 10.3-fold. By optimizing the affinity between the regulatory protein TorR and DNA binding sites in promoters, the concentration for 50% of maximal effect (EC₅₀) value was reduced from 1008 to 141 μM. The biosensor was successfully used for aquatic sample detection. By introducing an exogenous TMAO degradation pathway into E. coli Nissle 1917, a probiotic chassis capable of TMAO detection, transportation, and degradation was constructed, providing an effective tool for rapid detection of TMAO and prevention of multiple diseases.

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来源期刊

ACS Synthetic Biology 生物-

CiteScore

8.00

自引率

10.60%

发文量

380

审稿时长

6-12 weeks

期刊介绍： The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.