{"title":"Engineered Gram-Positive Based Quorum Sensing for Metabolic Control in Escherichia coli","authors":"Michael J. Ream, and , Kristala L. J. Prather*, ","doi":"10.1021/acssynbio.5c00433","DOIUrl":null,"url":null,"abstract":"<p >Quorum sensing (QS) is a cell-to-cell communication system that allows microbial communities to collaborate and function as a collective. QS functions as a population-dependent regulator by producing signals that scale with cell concentration, allowing surrounding cells to recognize the signal and activate the associated genes at a certain population density. Though many regulatory systems have been characterized, much of the engineering focus has been on a small subset of the expansive QS circuits that exist within nature. To expand the available QS circuits for use in <i>Escherichia coli</i>, two Gram-positive systems were identified as useful candidates: the Agr system, from the therapeutically relevant <i>Staphylococcus aureus</i>, and the Com system, from the model Gram-positive organism <i>Bacillus subtilis</i>. These QS systems were implemented and improved for functionality by modifying the expression strength of circuit components. Each system displayed tight control of their cognate promoters with the Com system reaching a final dynamic range of 2.27 ± 0.05, while the Agr system was improved to a dynamic range of 4.05 ± 0.43. The Agr system was then applied to downregulate endogenous genes <i>tyrA</i>, <i>pheA</i>, <i>trpE</i>, <i>ppc</i>, and <i>pabB</i> via CRISPRi. This regulation strategy allowed for the production of salicylic acid in <i>E. coli</i> MG1655 by diverting metabolic flux toward the target pathway, demonstrating the utility of Agr as a tightly regulated control system in <i>E. coli</i>.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":"14 9","pages":"3734–3743"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acssynbio.5c00433","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}
引用次数: 0
Abstract
Quorum sensing (QS) is a cell-to-cell communication system that allows microbial communities to collaborate and function as a collective. QS functions as a population-dependent regulator by producing signals that scale with cell concentration, allowing surrounding cells to recognize the signal and activate the associated genes at a certain population density. Though many regulatory systems have been characterized, much of the engineering focus has been on a small subset of the expansive QS circuits that exist within nature. To expand the available QS circuits for use in Escherichia coli, two Gram-positive systems were identified as useful candidates: the Agr system, from the therapeutically relevant Staphylococcus aureus, and the Com system, from the model Gram-positive organism Bacillus subtilis. These QS systems were implemented and improved for functionality by modifying the expression strength of circuit components. Each system displayed tight control of their cognate promoters with the Com system reaching a final dynamic range of 2.27 ± 0.05, while the Agr system was improved to a dynamic range of 4.05 ± 0.43. The Agr system was then applied to downregulate endogenous genes tyrA, pheA, trpE, ppc, and pabB via CRISPRi. This regulation strategy allowed for the production of salicylic acid in E. coli MG1655 by diverting metabolic flux toward the target pathway, demonstrating the utility of Agr as a tightly regulated control system in E. coli.
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.