Illumina和Oxford纳米孔技术系统对肺炎链球菌基因组特征的比较。

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
Fatima Dakroub, Fata Akl, Alissar Zaghlout, Jose Rita Gerges, Nancy Hourani, Celina F Boutros, George F Araj, Ghassan M Matar, Antoine Abou Fayad, Ghassan S Dbaibo
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引用次数: 0

摘要

全基因组测序(WGS)是一种非常宝贵的工具,可以实现高分辨率基因分型来精确识别细菌菌株。这对肺炎链球菌等高致病性细菌尤其重要,肺炎链球菌是世界范围内死亡率和发病率的主要原因。Illumina测序在肺炎链球菌方面已经得到了高度的建立,而Oxford Nanopore Technologies (ONT)的数据有限。因此,需要评估仅限ont的数据。我们的目的是比较Illumina和ONT系统的肺炎链球菌测序。此外,我们的目的是探索来自ONT的R10.4.1流式细胞的新化学是否改善了长读测序的数据输出。从侵袭性肺炎球菌病(IPD)住院患者中分离出肺炎链球菌,并进行多重PCR分型。采用药敏试验测定耐药谱。使用ONT Mk1c、R9.4.1流式细胞和Kit10化学(ONT_V10)和Illumina Miseq系统对27株分离株进行测序。比较Illumina和ONT数据,并评估混合装配。另外,对12株分离株的R10.4.1流式细胞和Kit14化学(ONT_V14)进行ONT测序。使用ONT测序成功实现肺炎链球菌鉴定、血清分型、AMR和GPSC预测。ONT_V14化学显著提高了长读测序的MLST和pbp预测。总体而言,杂交组合产生了具有高N50参数的圆形和连续基因组。此外,长读段组装后进行短读段抛光是一种快速可靠的混合组装方法,用于ONT测序深度bbb100 ×。ONT测序深度肺炎链球菌。它代表了对Illumina和牛津纳米孔技术(ONT)系统进行细菌测序的深入研究。它揭示了每个平台在测序的各个方面的性能,包括原始和组装统计、荚膜分型、pbp分型、GPSC、AMR和MLST预测。该研究提供了肺炎链球菌基因组学的全面概述,并为临床和研究实验室在选择测序平台和分析管道时提供了重要的考虑因素,为寻求采用细菌测序提供了指南。我们报告了在临床环境中实施WGS的有力案例,基于其与传统分子和表型方法的高度一致性。此外,所研究管道的灵活性和可移植性促进了它们在临床应用中的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Illumina and Oxford Nanopore Technology systems for the genomic characterization of Streptococcus pneumoniae.

Whole-genome sequencing (WGS) is an invaluable tool that enables high-resolution genotyping to precisely identify bacterial strains. It is particularly significant for highly pathogenic bacteria such as Streptococcus pneumoniae, a worldwide leading cause of mortality and morbidity. Illumina sequencing is highly established for S. pneumoniae, while Oxford Nanopore Technologies (ONT) data are limited. Hence, evaluating ONT-only data is needed. We aimed to compare the Illumina and ONT systems for S. pneumoniae sequencing. Moreover, we aimed to explore whether the newer chemistry from ONT with R10.4.1 flow cells improves the data outputs from long-read sequencing. S. pneumoniae bacteria were isolated from hospitalized patients with invasive pneumococcal disease (IPD) and serotyped by multiplex PCR. Resistance profiles were determined with anti-microbial susceptibility testing. A total of 27 isolates were sequenced using ONT Mk1c with R9.4.1 flow cells and Kit10 chemistry (ONT_V10) and the Illumina Miseq system. Illumina and ONT data were compared, and hybrid assembly was assessed. ONT sequencing was additionally performed with R10.4.1 flow cells and Kit14 chemistry (ONT_V14) in 12 isolates. S. pneumoniae identification, serotyping, AMR, and GPSC prediction were successfully achieved using ONT sequencing. The ONT_V14 chemistry significantly improved both MLST and pbp prediction in long-read sequencing. Overall, the hybrid assembly produced circular and contiguous genomes with high N50 parameters. Moreover, long-read assembly followed by short-read polishing is a fast and reliable approach for hybrid assembly at ONT sequencing depth >100×. For ONT sequencing depth <50×, tools that perform short-read-first assembly, such as Unicycler are recommended.IMPORTANCEThis study provides a detailed evaluation of whole-genome sequencing technologies and bioinformatics pipelines for the characterization of Streptococcus pneumoniae. It represents an in-depth investigation of Illumina and Oxford Nanopore technologies (ONT) systems for bacterial sequencing. It sheds light on the performance of each platform in various aspects of sequencing, including raw and assembly statistics, capsular typing, pbp typing, GPSC, AMR, and MLST prediction. This study offers a comprehensive overview of S. pneumoniae genomics and a guide for clinical and research laboratories seeking to adopt bacterial sequencing by providing important considerations when choosing sequencing platforms and analysis pipelines. We report a strong case for the implementation of WGS in the clinical setting, based on its high concordance with conventional molecular and phenotypic methods. Furthermore, the flexibility and portability of the investigated pipelines facilitate their use in clinical applications.

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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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