five

Gdx-Clo 7X Combinatorial Library Screening in Quaternary Ammonium Compounds

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1104635
下载链接
链接失效反馈
官方服务:
资源简介:
The goal of our study was to create a comprehensive library of Gdx-Clo 7X mutants to explore the adaptive mechanisms of E. coli in the presence of toxic quaternary ammonium compounds (QACs), such as cetrimonium (CTA+) and tetrapropyl ammonium (TPA+). The library contained every possible permutation of seven mutations within the Gdx-Clo transporter gene, each variant engineered to confer potential resistance against the cytotoxic effects of QACs. The significance of this work lies in the increasing prevalence of antibiotic and disinfectant resistance in both environmental and pathogenic bacteria. By understanding how transporter mutations contribute to survival in hostile environments, we can inform the development of novel therapeutic strategies. This library serves as a vital resource for identifying transporter activity under selective pressure, offering insights into bacterial evolution and resistance mechanisms. The methodology involved cloning the mutant genes into a pBAD24 vector, a widely used expression system that offers tight regulation of gene expression in response to arabinose. This system enabled us to control the expression of the Gdx-Clo 7X variants in an E. coli strain containing an emrE deletion. The transformed bacteria were cultured on agar plates with and without QACs, facilitating the identification of variants with degrees of enhanced transporter activity. This synthetic metagenomic library can determine the necessary number of mutations required for Gdx-Clo WT to develop a novel function and achieve minimal resistance levels against QACs based on the seven original mutations. This research could lay the groundwork for innovative approaches to combat bacterial resistance, by revealing how specific mutations enable bacteria to withstand chemical stresses.
创建时间:
2024-04-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作