Metrological evaluation of DNA extraction method effects on the bacterial microbiome and resistome in sputum.

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2024-08-16 DOI:10.1128/msystems.00735-24
Aleksander Benčič, Nataša Toplak, Simon Koren, Alexandra Bogožalec Košir, Mojca Milavec, Viktorija Tomič, Dane Lužnik, Tanja Dreo
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引用次数: 0

Abstract

Targeted high-throughput sequencing (HTS) has revolutionized the way we look at bacterial communities. It can be used for the species-specific detection of bacteria as well as for the determination of the microbiome and resistome and can be applied to samples from almost any environment. However, the results of targeted HTS can be influenced by many factors, which poses a major challenge for its use in clinical diagnostics. In this study, we investigated the impact of the DNA extraction method on the determination of the bacterial microbiome and resistome by targeted HTS using principles from metrology and diagnostics such as repeatability and analytical sensitivity. Sputum samples spiked with Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa at three different concentrations (103-106 cells/mL) were used. DNA was extracted from each sample on 2 separate days in three replicates each using three different extraction methods based on cetrimonium bromide, magnetic beads, and silica membranes. All three spiked bacteria were detected in sputum, and the DNA extraction method had no significant effect on detection. However, the DNA extraction method had significant effects on the composition of the microbiome and the resistome. The sequencing results were repeatable in the majority of cases. The silica membrane-based DNA extraction kit provided the most repeatable results and the highest diversity of the microbiome and resistome. Targeted HTS has been shown to be a reliable tool for determining the microbiome and resistome; however, the method of DNA extraction should be carefully selected to minimize its impact on the results.

Importance: High-throughput sequencing (HTS) is one of the crucial new technologies that gives us insights into previously hidden parts of microbial communities. The DNA extraction method is an important step that can have a major impact on the results, and understanding this impact is of paramount importance for their reliable interpretation. Our results are of great value for the interpretation of sputum microbiome and resistome results obtained by targeted HTS. Our findings allow for a more rational design of future microbiome studies, which would lead to higher repeatability of results and easier comparison between different laboratories. This could also facilitate the introduction of targeted HTS in clinical microbiology for reliable identification of pathogenic bacteria and testing for antimicrobial resistance (AMR). As AMR is a major threat to public health, the improved methods for determining AMR would bring great benefits to both the healthcare system and society as a whole.

DNA 提取方法对痰中细菌微生物组和抗药性组影响的计量学评估。
靶向高通量测序(HTS)彻底改变了我们观察细菌群落的方式。它可用于细菌的物种特异性检测以及微生物组和抗药性组的测定,几乎可用于任何环境中的样本。然而,靶向 HTS 的结果会受到许多因素的影响,这对其在临床诊断中的应用提出了重大挑战。在本研究中,我们利用计量学和诊断学的原理(如可重复性和分析灵敏度)研究了 DNA 提取方法对通过靶向 HTS 测定细菌微生物组和抗药性组的影响。使用添加了三种不同浓度(103-106 个细胞/毫升)鲍曼不动杆菌、肺炎克雷伯菌和铜绿假单胞菌的痰液样本。使用基于溴化十六烷、磁珠和硅胶膜的三种不同提取方法,在两个独立的日子里从每个样品中提取 DNA,每个样品有三个重复。在痰中检测到了所有三种加标细菌,DNA 提取方法对检测没有显著影响。然而,DNA 提取方法对微生物组和抗药性组的组成有显著影响。在大多数情况下,测序结果都是可重复的。基于硅胶膜的 DNA 提取试剂盒提供的结果重复性最高,微生物组和抗药性组的多样性也最高。有研究表明,靶向高通量测序是确定微生物组和抗药性组的可靠工具;但是,应谨慎选择 DNA 提取方法,以尽量减少其对结果的影响:高通量测序(HTS)是至关重要的新技术之一,它能让我们深入了解微生物群落以前隐藏的部分。DNA 提取方法是一个重要步骤,会对结果产生重大影响。我们的研究结果对于解读通过靶向 HTS 获得的痰微生物组和抗药性组结果具有重要价值。我们的研究结果有助于更合理地设计未来的微生物组研究,从而提高结果的可重复性,并方便不同实验室之间进行比较。这也有助于在临床微生物学中引入靶向 HTS,以可靠地鉴定病原菌和检测抗菌药耐药性(AMR)。由于 AMR 是对公共卫生的一大威胁,改进 AMR 的测定方法将为医疗系统和整个社会带来巨大的利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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