工程贝氏不动杆菌ADP1-ISx细胞是敏感的DNA生物传感器的抗生素抗性基因和真菌病原体的蝙蝠。

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-07-18 Epub Date: 2025-06-27 DOI:10.1021/acssynbio.5c00360
Jeffrey Chuong, Keaton W Brown, Isaac Gifford, Dennis M Mishler, Jeffrey E Barrick
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引用次数: 0

摘要

自然胜任的细菌可以被改造成检测环境DNA的平台。这种能力可用于监测病原体、入侵物种和抗性基因的传播,以及其他应用。在这里,我们创建了贝氏不动杆菌ADP1-ISx生物传感器,通过自然转化检测特定的目标DNA序列。我们用DNA传感器测试了菌株,这些传感器包括突变的抗生素抗性基因(TEM-1 bla或nptII)或反选择基因,其两侧是真菌Pseudogymnoascus destructans的序列,这种真菌会导致蝙蝠的白鼻综合征。在摄取同源DNA后,重组恢复了抗生素抗性基因的功能或去除了反选择基因,从而使能够感知目标DNA的细胞得以选择。抗生素耐药基因和P. destructans生物传感器分别可以检测到少至3,000或5,000,000分子的DNA靶标,并且它们的灵敏度不受过量脱靶DNA的影响。这些结果证明了baylyi是如何被重新编程成一个监测环境DNA的模块化平台的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Engineered Acinetobacter baylyi ADP1-ISx Cells Are Sensitive DNA Biosensors for Antibiotic Resistance Genes and a Fungal Pathogen of Bats.

Naturally competent bacteria can be engineered into platforms for detecting environmental DNA. This capability could be used to monitor the spread of pathogens, invasive species, and resistance genes, among other applications. Here, we create Acinetobacter baylyi ADP1-ISx biosensors that detect specific target DNA sequences through natural transformation. We tested strains with DNA sensors that consisted of either a mutated antibiotic resistance gene (TEM-1 bla or nptII) or a counterselectable gene flanked by sequences from the fungus Pseudogymnoascus destructans, which causes white-nose syndrome in bats. Upon uptake of homologous DNA, recombination restored antibiotic resistance gene function or removed the counterselectable gene, enabling selection of cells that sensed the target DNA. The antibiotic resistance gene and P. destructans biosensors could detect as few as 3,000 or 5,000,000 molecules of their DNA targets, respectively, and their sensitivity was not affected by excess off-target DNA. These results demonstrate how A. baylyi can be reprogrammed into a modular platform for monitoring environmental DNA.

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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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