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使用高分辨率基因组规模的CRISPRi筛选快速鉴定[具体研究对象]中的关键抗生素抗性基因。 (注:原文中“in”后面缺少具体内容)

Rapid identification of key antibiotic resistance genes in using high-resolution genome-scale CRISPRi screening.

作者信息

Choe Donghui, Lee Eunju, Kim Kangsan, Hwang Soonkyu, Jeong Ki Jun, Palsson Bernhard O, Cho Byung-Kwan, Cho Suhyung

机构信息

Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.

Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.

出版信息

iScience. 2025 Apr 15;28(5):112435. doi: 10.1016/j.isci.2025.112435. eCollection 2025 May 16.

Abstract

Bacteria possess a vast repertoire of genes to adapt to environmental challenges. Understanding the gene fitness landscape under antibiotic stress is crucial for elucidating bacterial resistance mechanisms and antibiotic action. To explore this, we conducted a genome-scale CRISPRi screen using a high-density sgRNA library in exposed to various antibiotics. This screen identified essential genes under antibiotic-induced stress and offered insights into the molecular mechanisms underlying bacterial responses. We uncovered previously unrecognized genes involved in antibiotic resistance, including essential membrane proteins. The screen also underscored the importance of transcriptional modulation of essential genes in antibiotic tolerance. Our findings emphasize the utility of genome-wide CRISPRi screening in mapping the genetic landscape of antibiotic resistance. This study provides a valuable resource for identifying potential targets for antibiotics or antimicrobial strategies. Moreover, it offers a framework for exploring transcriptional regulatory networks and resistance mechanisms in and other bacterial pathogens.

摘要

细菌拥有大量基因库以适应环境挑战。了解抗生素应激下的基因适应性景观对于阐明细菌耐药机制和抗生素作用至关重要。为了探究这一点,我们使用高密度sgRNA文库在暴露于各种抗生素的情况下进行了全基因组CRISPRi筛选。该筛选确定了抗生素诱导应激下的必需基因,并深入了解了细菌反应背后的分子机制。我们发现了以前未被认识的参与抗生素耐药性的基因,包括必需膜蛋白。该筛选还强调了必需基因的转录调控在抗生素耐受性中的重要性。我们的研究结果强调了全基因组CRISPRi筛选在绘制抗生素耐药性遗传景观方面的实用性。这项研究为确定抗生素或抗菌策略的潜在靶点提供了宝贵资源。此外,它为探索细菌及其他细菌病原体中的转录调控网络和耐药机制提供了一个框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/476a/12063145/55400b11541c/fx1.jpg

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