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大肠杆菌 CFT073 在尿路感染期间的适应因子:利用有序转座子文库进行鉴定。

Escherichia coli CFT073 Fitness Factors during Urinary Tract Infection: Identification Using an Ordered Transposon Library.

机构信息

Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Laboratorio de Referencia de E. coli, Department of Microbiology and Parasitology, Veterinary Faculty, University of Santiago de Compostela, Lugo, Spain.

出版信息

Appl Environ Microbiol. 2020 Jun 17;86(13). doi: 10.1128/AEM.00691-20.

Abstract

Urinary tract infections (UTI), the second most diagnosed infectious disease worldwide, are caused primarily by uropathogenic (UPEC), placing a significant financial burden on the health care system. High-throughput transposon mutagenesis combined with genome-targeted sequencing is a powerful technique to interrogate genomes for fitness genes. Genome-wide analysis of requires random libraries of at least 50,000 mutants to achieve 99.99% saturation; however, the traditional murine model of ascending UTI does not permit testing of large mutant pools due to a bottleneck during infection. To address this, an CFT073 transposon mutant ordered library of 9,216 mutants was created and insertion sites were identified. A single transposon mutant was selected for each gene to assemble a condensed library consisting of 2,913 unique nonessential mutants. Using a modified UTI model in BALB/c mice, we identified 36 genes important for colonizing the bladder, including , , and Screening of the condensed library identified and to be essential for growth in human urine. Additionally, we developed a novel quantitative PCR (qPCR) technique to identify genes with fitness defects within defined subgroups of related genes (e.g., genes encoding fimbriae, toxins, etc.) following UTI. The number of mutants within these subgroups circumvents bottleneck restriction and facilitates validation of multiple mutants to generate individual competitive indices. Collectively, this study investigates the bottleneck effects during UTI, provides two techniques for evading those effects that can be applied to other disease models, and contributes a genetic tool in prototype strain CFT073 to the field. Uropathogenic strains cause most uncomplicated urinary tract infections (UTI), one of the most common infectious diseases worldwide. Random transposon mutagenesis techniques have been utilized to identify essential bacterial genes during infection; however, this has been met with limitations when applied to the murine UTI model. Conventional high-throughput transposon mutagenesis screens are not feasible because of inoculum size restrictions due to a bottleneck during infection. Our study utilizes a condensed ordered transposon library, limiting the number of mutants while maintaining the largest possible genome coverage. Screening of this library , and in human urine , identified numerous candidate fitness factors. Additionally, we have developed a novel technique using qPCR to quantify bacterial outputs following infection with small subgroups of transposon mutants. Molecular approaches developed in this study will serve as useful tools to probe models that are restricted by anatomical, physiological, or genetic bottleneck limitations.

摘要

尿路感染(UTI)是全球第二大常见传染病,主要由尿路致病性大肠杆菌(UPEC)引起,给医疗保健系统带来了巨大的经济负担。高通量转座子诱变与基因组靶向测序相结合是一种强大的技术,可以用于研究基因组中的适应性基因。需要至少 50,000 个突变体的随机文库才能实现 99.99%的全基因组分析覆盖率;然而,由于感染过程中的瓶颈,传统的上行性尿路感染小鼠模型不允许测试大型突变体库。为了解决这个问题,我们创建了一个包含 9216 个突变体的 CFT073 转座子突变有序文库,并确定了插入位点。为了组装一个由 2913 个独特非必需突变体组成的浓缩文库,我们为每个基因选择了一个单一的转座子突变体。使用改良的 BALB/c 小鼠尿路感染模型,我们鉴定了 36 个对膀胱定植至关重要的基因,包括 、 和 。浓缩文库的筛选鉴定了 和 对于人尿中的生长是必需的。此外,我们开发了一种新的定量 PCR(qPCR)技术,用于在 UTI 后鉴定相关基因(如菌毛、毒素等)定义亚组内具有适应性缺陷的基因。这些亚组内的突变体数量避免了瓶颈限制,并促进了多个突变体的验证,以生成单个竞争指数。总的来说,这项研究调查了尿路感染过程中的瓶颈效应,提供了两种规避这些效应的技术,为原型菌株 CFT073 提供了遗传工具。尿路致病性大肠杆菌(UPEC)菌株引起大多数非复杂性尿路感染(UTI),是全球最常见的传染病之一。随机转座子诱变技术已被用于鉴定感染过程中的必需细菌基因;然而,当应用于小鼠尿路感染模型时,这受到了限制。由于感染过程中的瓶颈限制了接种物的大小,常规的高通量转座子诱变筛选是不可行的。我们的研究利用了一个浓缩的有序转座子文库,在保持最大可能的基因组覆盖度的同时限制了突变体的数量。该文库的筛选, 和在人尿中的筛选,鉴定了许多候选的适应性因子。此外,我们还开发了一种使用 qPCR 定量感染后细菌输出的新技术,用于感染小亚群转座子突变体。本研究中开发的分子方法将作为有用的工具,用于研究受解剖学、生理学或遗传瓶颈限制的 模型。

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