革兰氏阴性菌标准化群体感应工具。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Paula Múgica-Galán, Jesús Miró-Bueno, Ángeles Hueso-Gil, Pablo Japón, Ángel Goñi-Moreno
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引用次数: 0

摘要

工程合成联合体执行分布式功能需要强大的群体感应(QS)系统来促进细胞之间的通信。然而,目前的QS工具箱缺乏标准化的实现,这对于在模式物种大肠杆菌以外的细菌中使用特别有价值。我们开发了一套包含发送者和接收者模块的三个QS系统,使用SEVA(标准欧洲载体架构)质粒收集的主干构建。这增加了多功能性,允许质粒的特征,如复制的起源或抗生素标记,很容易交换。该系统采用合成生物学底盘恶臭假单胞菌进行表征。我们首先测试了单个模块,然后将同一主机中的发送方和接收方模块组合在一起,最后评估了跨不同单元的性能,以评估联盟动态。除了QS集,我们还提供数学模型和速率参数来支持设计工作。总之,这些工具推进了健壮和可预测的多细胞功能的工程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Standardized Quorum Sensing Tools for Gram-Negative Bacteria.

Engineering synthetic consortia to perform distributed functions requires robust quorum sensing (QS) systems to facilitate communication between cells. However, the current QS toolbox lacks standardized implementations, which are particularly valuable for use in bacteria beyond the model species Escherichia coli. We developed a set of three QS systems encompassing both sender and receiver modules, constructed using backbones from the SEVA (Standard European Vector Architecture) plasmid collection. This increases versatility, allowing plasmid features like the origin of replication or antibiotic marker to be easily swapped. The systems were characterized using the synthetic biology chassis Pseudomonas putida. We first tested individual modules, then combined sender and receiver modules in the same host, and finally assessed the performance across separate cells to evaluate consortia dynamics. Alongside the QS set, we provide mathematical models and rate parameters to support the design efforts. Together, these tools advance the engineering of robust and predictable multicellular functions.

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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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