噬菌体使大肠杆菌中大DNA片段的一步基因组整合成为可能

IF 4.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2026-10-16 Epub Date: 2026-09-25 DOI:10.1021/acssynbio.6c00489
Shingo Nozaki, Yoshihiro Miwa
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引用次数: 0

摘要

大肠杆菌是分子生物学和生物技术领域公认的模式生物。尽管其作为实验室主力的悠久历史,大DNA片段的高效单步染色体整合仍然是一个挑战。目前已知的方法要么简单,但对插入物大小有限制,要么灵活,但需要质粒构建或多步骤程序。在这里,我们介绍了噬菌体辅助基因组工程(PhAGE),它可以在一天内将~ 20kb的DNA片段整合到大肠杆菌基因组中。噬菌体法是将重组DNA体外包装到噬菌体衣壳中,然后进行一般转导,将带有侧翼同源臂的预组装DNA引入受体细胞。这种方法可以有效地、无着陆平台地将大型结构体整合到目标位点中。我们通过多基因操纵子的快速整合证明了它的有效性。噬菌体解决了大肠杆菌基因组工程中长期存在的简单性和插入物大小之间的权衡,提供了一个强大的从组装到集成的工具包,加速了从生物合成途径工程到基因组规模设计的广泛应用中的菌株构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PhAGE Enables One-Step Genome Integration of Large DNA Fragments in Escherichia coli

Escherichia coli is a well-established model organism in molecular biology and biotechnology. Despite its long history as a laboratory workhorse, the efficient single-step chromosomal integration of large DNA fragments remains a challenge. Currently known methods are either simple but have limitations on insert size, or flexible but laborious requiring plasmid construction or multi-step procedures. Here, we present PhAGE (Phage-Assisted Genome Engineering), which enables the integration of ∼20 kb DNA fragments into the E. coli genome within a single day. PhAGE method uses in vitro packaging of recombinant DNA into bacteriophage capsids, followed by general transduction to introduce pre-assembled DNA with flanking homology arms into recipient cells. This approach allows efficient and landing pad-free integration of large constructs into the target loci. We demonstrate its usefulness through rapid integration of multi-gene operons. PhAGE resolves the long-standing trade-off between simplicity and insert size in E. coli genome engineering, providing a powerful assembly-to-integration toolkit that accelerates strain construction across a wide range of applications, from biosynthetic pathway engineering to genome-scale design.

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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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