A Tn5 Transposase-Based System for High-Efficiency Genome-Wide Gene Activation in Escherichia coli.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-07-18 Epub Date: 2025-06-17 DOI:10.1021/acssynbio.5c00170
Yuling Song, Yifei Liu, Qingyan Li, Lei Chen, Zhe Sun, Xueli Zhang
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引用次数: 0

Abstract

Deciphering gene function to understand the genetic basis of microbial phenotypes in a high-throughput manner is crucial for bacterial engineering. However, efficient tools for generating genome-wide gene activation mutant libraries to enable gain-of-function analyses remain limited. Here, we developed a Tn5 transposase-based system for efficient genome-wide gene activation in Escherichia coli. The cargo DNA incorporated a tetracycline-inducible promoter Ptet and a kanamycin resistance gene, enabling selective growth and conditional gene activation. The system achieved near-random integration with an insertion frequency of approximately 2.83 × 107 cfu/μg DNA. Both in vitro and in vivo transposition results demonstrated the effective activation of specific and nonspecific genes. Using this system, we identified three putative transporters that, despite being unrelated to glycine export, significantly enhanced glycine resistance in E. coli. These results highlight the utility of this method for genotype-phenotype mapping and strain optimization, offering a powerful tool for synthetic biology and functional genomics.

基于Tn5转座酶的大肠杆菌高效全基因组基因激活系统
破译基因功能,以高通量的方式了解微生物表型的遗传基础对细菌工程至关重要。然而,用于生成全基因组基因激活突变文库以实现功能获得分析的有效工具仍然有限。在这里,我们开发了一个基于Tn5转座酶的系统,用于高效的大肠杆菌全基因组基因激活。货物DNA包含一个四环素诱导启动子ppet和一个卡那霉素抗性基因,能够选择性生长和条件基因激活。该系统实现了近随机整合,插入频率约为2.83 × 107 cfu/μg DNA。体外和体内转位结果均显示特异性和非特异性基因的有效激活。使用该系统,我们确定了三种可能的转运蛋白,尽管与甘氨酸输出无关,但它们显著增强了大肠杆菌对甘氨酸的抗性。这些结果突出了该方法在基因型-表型定位和菌株优化方面的实用性,为合成生物学和功能基因组学提供了强有力的工具。
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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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