用于PET降解对苯二甲酸检测的高灵敏度遗传编码生物传感器。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Seok Jin Oh, Jung-Ung An, Jun-Hong Park, Eun-Woo Choi, Seong Keun Kim, Seung Gyun Woo, Tae Hyun Kim, Bong Hyun Sung, Seung-Goo Lee, Kil Koang Kwon* and Dae-Hee Lee*, 
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引用次数: 0

摘要

聚对苯二甲酸乙二醇酯(PET)废物的积累由于其耐久性和耐降解性对环境构成了严重的挑战。酶解PET提供了一个可持续的解决方案,但高效的高通量筛选工具PET降解酶仍然有限。在这里,我们报道了一种用于对苯二甲酸(TPA)的遗传编码生物传感器(GEB)──PET降解过程中释放的主要单体──能够快速灵敏地检测酶活性。我们在大肠杆菌中设计了一种基于tpr的生物传感器,将优化的转录系统与多种TPA摄取转运蛋白结合起来,以增强细胞内TPA的积累。这种双重策略提高了信号强度,扩大了探测范围。性能最佳的配置,集成了高亲和转运体和微调的遗传成分,实现了1 μM TPA的检测限──灵敏度比初始设计提高了1000倍。我们使用petase(包括sakaionella衍生的FAST-PETase)对系统进行了验证,并对其进行了HPLC测试。该生物传感器根据水解活性可靠地区分了PETase变体,证明了其在定向进化、宏基因组筛选和酶工程方面的实用性。这项工作建立了一个快速、可扩展、超灵敏的生物传感器平台,用于监测PET水解。经过改造的GEB为传统分析提供了一种强大、低成本的替代方案,加速了pet降解酶的发现和优化,用于塑料升级回收和循环生物经济应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A High-Sensitivity Genetically Encoded Biosensor for Terephthalic Acid Detection in PET Degradation

A High-Sensitivity Genetically Encoded Biosensor for Terephthalic Acid Detection in PET Degradation

The accumulation of polyethylene terephthalate (PET) waste poses a serious environmental challenge due to its durability and resistance to degradation. Enzymatic PET hydrolysis offers a sustainable solution, but efficient high-throughput screening tools for PET-degrading enzymes remain limited. Here, we report a genetically encoded biosensor (GEB) for terephthalic acid (TPA)─the primary monomer released during PET degradation─that enables rapid and sensitive detection of enzymatic activity. We engineered a TphR-based biosensor in Escherichia coli, combining an optimized transcriptional system with diverse TPA uptake transporters to enhance intracellular TPA accumulation. This dual strategy improved the signal intensity and broadened the detection range. The best-performing configuration, integrating a high-affinity transporter with fine-tuned genetic components, achieved a detection limit of 1  μM TPA─a 1,000-fold sensitivity improvement over the initial design. We validated the system using PETases, including Ideonella sakaiensis-derived FAST-PETase, and benchmarked it against HPLC assays. The biosensor reliably distinguished PETase variants based on hydrolytic activity, demonstrating its utility for directed evolution, metagenomic screening, and enzyme engineering. This work establishes a rapid, scalable, and ultrasensitive biosensor platform for monitoring PET hydrolysis. The engineered GEB offers a robust, low-cost alternative to conventional analytics, accelerating the discovery and optimization of PET-degrading enzymes for plastic upcycling and circular bioeconomy applications.

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来源期刊
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.
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