{"title":"大肠杆菌中琥珀酸响应生物传感器系统的表征与工程设计。","authors":"Yusong Zou, Yuanxin Qian, Connor Parish, Logan Huddle and Yajun Yan*, ","doi":"10.1021/acssynbio.5c00290","DOIUrl":null,"url":null,"abstract":"<p >Metabolic engineering enables the sustainable production of valuable compounds, but challenges such as metabolic imbalances and limited regulatory tools hinder optimal yields and efficiencies. Transcription factor (TF)-based biosensors have emerged as robust solutions, allowing dynamic sensing and regulation of intracellular metabolites. However, their limited diversity often restricts their broader applications in metabolic engineering. To overcome this limitation, it is essential to develop biosensors that are responsive to central metabolic intermediates, enabling more versatile pathway control. In this study, we characterized a succinate-responsive biosensor system regulated by the IclR family TF, PcaR, and elucidated the dual-function mechanism observed in this PcaR biosensor system. Initially, we fine-tuned the expression of PcaR, fully recovering the corresponding promoter strength. Then, we discovered a dual-function mechanism of PcaR through homologue pairing, further elucidated by employing site-directed mutagenesis and promoter engineering. Meanwhile, we established a succinate-responsive biosensor library guided by PcaR–succinate complex analysis with varied dynamic ranges, identifying the superior P1-AII variant with nearly a 33-fold improvement in dynamic range. Finally, we constructed a bifunctional regulatory circuit controlled by succinate and a single regulator, demonstrating its potential for dynamic metabolic regulation. Given the primary role of succinate in central metabolism, the engineered PcaR biosensor system provides a promising tool for real-time metabolic monitoring and optimization of microbial production.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":"14 9","pages":"3510–3519"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/pdf/10.1021/acssynbio.5c00290","citationCount":"0","resultStr":"{\"title\":\"Characterizing and Engineering a Succinate-Responsive Biosensor System in Escherichia coli\",\"authors\":\"Yusong Zou, Yuanxin Qian, Connor Parish, Logan Huddle and Yajun Yan*, \",\"doi\":\"10.1021/acssynbio.5c00290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Metabolic engineering enables the sustainable production of valuable compounds, but challenges such as metabolic imbalances and limited regulatory tools hinder optimal yields and efficiencies. Transcription factor (TF)-based biosensors have emerged as robust solutions, allowing dynamic sensing and regulation of intracellular metabolites. However, their limited diversity often restricts their broader applications in metabolic engineering. To overcome this limitation, it is essential to develop biosensors that are responsive to central metabolic intermediates, enabling more versatile pathway control. In this study, we characterized a succinate-responsive biosensor system regulated by the IclR family TF, PcaR, and elucidated the dual-function mechanism observed in this PcaR biosensor system. Initially, we fine-tuned the expression of PcaR, fully recovering the corresponding promoter strength. Then, we discovered a dual-function mechanism of PcaR through homologue pairing, further elucidated by employing site-directed mutagenesis and promoter engineering. Meanwhile, we established a succinate-responsive biosensor library guided by PcaR–succinate complex analysis with varied dynamic ranges, identifying the superior P1-AII variant with nearly a 33-fold improvement in dynamic range. Finally, we constructed a bifunctional regulatory circuit controlled by succinate and a single regulator, demonstrating its potential for dynamic metabolic regulation. Given the primary role of succinate in central metabolism, the engineered PcaR biosensor system provides a promising tool for real-time metabolic monitoring and optimization of microbial production.</p>\",\"PeriodicalId\":26,\"journal\":{\"name\":\"ACS Synthetic Biology\",\"volume\":\"14 9\",\"pages\":\"3510–3519\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/pdf/10.1021/acssynbio.5c00290\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Synthetic Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acssynbio.5c00290\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acssynbio.5c00290","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Characterizing and Engineering a Succinate-Responsive Biosensor System in Escherichia coli
Metabolic engineering enables the sustainable production of valuable compounds, but challenges such as metabolic imbalances and limited regulatory tools hinder optimal yields and efficiencies. Transcription factor (TF)-based biosensors have emerged as robust solutions, allowing dynamic sensing and regulation of intracellular metabolites. However, their limited diversity often restricts their broader applications in metabolic engineering. To overcome this limitation, it is essential to develop biosensors that are responsive to central metabolic intermediates, enabling more versatile pathway control. In this study, we characterized a succinate-responsive biosensor system regulated by the IclR family TF, PcaR, and elucidated the dual-function mechanism observed in this PcaR biosensor system. Initially, we fine-tuned the expression of PcaR, fully recovering the corresponding promoter strength. Then, we discovered a dual-function mechanism of PcaR through homologue pairing, further elucidated by employing site-directed mutagenesis and promoter engineering. Meanwhile, we established a succinate-responsive biosensor library guided by PcaR–succinate complex analysis with varied dynamic ranges, identifying the superior P1-AII variant with nearly a 33-fold improvement in dynamic range. Finally, we constructed a bifunctional regulatory circuit controlled by succinate and a single regulator, demonstrating its potential for dynamic metabolic regulation. Given the primary role of succinate in central metabolism, the engineered PcaR biosensor system provides a promising tool for real-time metabolic monitoring and optimization of microbial production.
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.