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使用16S rRNA基因纳米孔测序分析从临床样本中进行快速可靠的物种水平鉴定。

Rapid and reliable species-level identification from clinical samples using 16 S rRNA gene nanopore sequencing analysis.

作者信息

Ivens Marco J R, Kamminga Sergio, Benchamach Kawtar, Akile Chaimae, Wessels Els, Claas Eric C J, Boers Stefan A

机构信息

Center of Infectious Diseases, Medical Microbiology and Infection Control, Leiden University Medical Centre, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.

出版信息

Sci Rep. 2025 Aug 5;15(1):28606. doi: 10.1038/s41598-025-14071-3.

DOI:10.1038/s41598-025-14071-3
PMID:40764745
Abstract

The detection and identification of bacterial species in clinical samples are crucial for patient management and antibiotic treatment. When culture-based identification methods fail, 16 S rRNA gene next-generation sequencing (NGS) serves as a valuable alternative. However, its clinical utility is often limited by prolonged time to results (TtR) and limited species-level resolution. This study aimed to develop and validate a faster, more discriminative 16 S rRNA gene NGS workflow. Our current 16 S rRNA gene NGS protocol uses micelle-based PCR (micPCR) targeting the V4 region, followed by Illumina sequencing. This method ensures accurate quantification of 16 S rRNA gene copies in (low biomass) clinical samples by reducing PCR artefacts and correcting for background DNA contamination. To shorten the TtR and improve species-level determination, the micPCR protocol was adapted to amplify full-length 16s rRNA genes, followed by nanopore sequencing using the Flongle Flow Cell with automated data analysis using the Genome Detective platform. Testing with a synthetic microbial community and six clinical samples showed that the 16 S rRNA gene micPCR/nanopore sequencing protocol maintains good accuracy and sensitivity, reducing TtR to 24 h and enhancing species-level resolution. This optimized workflow improves clinical diagnostics, making it a valuable tool for guiding patient treatment decisions.

摘要

临床样本中细菌种类的检测和鉴定对于患者管理和抗生素治疗至关重要。当基于培养的鉴定方法失败时,16S rRNA基因下一代测序(NGS)是一种有价值的替代方法。然而,其临床应用通常受到结果报告时间(TtR)延长和物种水平分辨率有限的限制。本研究旨在开发和验证一种更快、更具区分性的16S rRNA基因NGS工作流程。我们目前的16S rRNA基因NGS方案使用基于胶束的PCR(micPCR)靶向V4区域,随后进行Illumina测序。该方法通过减少PCR假象并校正背景DNA污染,确保对(低生物量)临床样本中的16S rRNA基因拷贝进行准确定量。为了缩短TtR并改善物种水平的测定,对micPCR方案进行了调整,以扩增全长16s rRNA基因,随后使用Flongle流动槽进行纳米孔测序,并使用Genome Detective平台进行自动化数据分析。对合成微生物群落和六个临床样本的测试表明,16S rRNA基因micPCR/纳米孔测序方案保持了良好的准确性和灵敏度,将TtR缩短至24小时,并提高了物种水平分辨率。这种优化的工作流程改善了临床诊断,使其成为指导患者治疗决策的有价值工具。

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本文引用的文献

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BMC Microbiol. 2024 Feb 16;24(1):58. doi: 10.1186/s12866-024-03208-5.
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The clinical utility of Nanopore 16S rRNA gene sequencing for direct bacterial identification in normally sterile body fluids.纳米孔16S rRNA基因测序在正常无菌体液中直接进行细菌鉴定的临床应用。
Front Microbiol. 2024 Jan 9;14:1324494. doi: 10.3389/fmicb.2023.1324494. eCollection 2023.
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Improved Diagnostics in Bacterial Neonatal Meningitis Using a Next-Generation Sequencing Platform.
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Infect Dis Ther. 2023 Jul;12(7):1921-1933. doi: 10.1007/s40121-023-00844-8. Epub 2023 Jul 12.
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NanoRTax, a real-time pipeline for taxonomic and diversity analysis of nanopore 16S rRNA amplicon sequencing data.NanoRTax,一种用于纳米孔16S rRNA扩增子测序数据的分类学和多样性分析的实时流程。
Comput Struct Biotechnol J. 2022 Sep 23;20:5350-5354. doi: 10.1016/j.csbj.2022.09.024. eCollection 2022.
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16S-FASAS: an integrated pipeline for synthetic full-length 16S rRNA gene sequencing data analysis.16S-FASAS:一个用于综合全长 16S rRNA 基因测序数据分析的集成管道。
PeerJ. 2022 Sep 23;10:e14043. doi: 10.7717/peerj.14043. eCollection 2022.
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Ultrafast and Cost-Effective Pathogen Identification and Resistance Gene Detection in a Clinical Setting Using Nanopore Flongle Sequencing.在临床环境中使用纳米孔Flongle测序进行超快速且经济高效的病原体鉴定和耐药基因检测。
Front Microbiol. 2022 Mar 17;13:822402. doi: 10.3389/fmicb.2022.822402. eCollection 2022.
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J Clin Microbiol. 2021 May 19;59(6). doi: 10.1128/JCM.02470-20.
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