Optimizing fungal DNA extraction and purification for Oxford Nanopore untargeted shotgun metagenomic sequencing from simulated hemoculture specimens.

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-04-08 DOI:10.1128/msystems.01166-24
Nattapong Langsiri, Wieland Meyer, Laszlo Irinyi, Navaporn Worasilchai, Nuttapon Pombubpa, Thidathip Wongsurawat, Piroon Jenjaroenpun, J Jennifer Luangsa-Ard, Ariya Chindamporn
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引用次数: 0

Abstract

Long-read metagenomics provides a promising alternative approach to fungal identification, circumventing methodological biases, associated with DNA amplification, which is a prerequisite for DNA barcoding/metabarcoding based on the primary fungal DNA barcode (Internal Transcribed Spacer (ITS) region). However, DNA extraction for long-read sequencing-based fungal identification poses a significant challenge, as obtaining long and intact fungal DNA is imperative. Comparing different lysis methods showed that chemical lysis with CTAB/SDS generated DNA from pure fungal cultures with high yields (ranging from 11.20 ± 0.17 µg to 22.99 ± 2.22 µg depending on the species) while preserving integrity. Evaluating the efficacy of human DNA depletion protocols demonstrated an 88.73% reduction in human reads and a 99.53% increase in fungal reads compared to the untreated yeast-spiked human blood control. Evaluation of the developed DNA extraction protocol on simulated clinical hemocultures revealed that the obtained DNA sequences exceed 10 kb in length, enabling a highly efficient sequencing run with over 80% active pores. The quality of the DNA, as indicated by the 260/280 and 260/230 ratios obtained from NanoDrop spectrophotometer readings, exceeded 1.8 and 2.0, respectively. This demonstrated the great potential of the herein optimized protocol to extract high-quality fungal DNA from clinical specimens enabling long-read metagenomics sequencing.

Importance: A novel streamlined DNA extraction protocol was developed to efficiently isolate high molecular weight fungal DNA from hemoculture samples, which is crucial for long-read sequencing applications. By eliminating the need for labor-intensive and shear-force-inducing steps, such as liquid nitrogen grinding or bead beating, the protocol is more user-friendly and better suited for clinical laboratory settings. The automation of cleanup and extraction steps further shortens the overall turnaround time to under 6 hours. Although not specifically designed for ultra-long DNA extraction, this protocol effectively supports fungal identification through Oxford Nanopore Technology (ONT) sequencing. It yields high molecular weight DNA, resulting in longer sequence fragments that improve the number of fungal reads over human reads. Future improvements, including adaptive sampling technology, could further simplify the process by reducing the need for human DNA depletion, paving the way for more automated, bioinformatics-driven workflows.

优化真菌DNA的提取和纯化,用于模拟血液培养标本的牛津纳米孔非靶向霰弹枪宏基因组测序。
长读元基因组学为真菌鉴定提供了一种有希望的替代方法,避免了与DNA扩增相关的方法偏差,而DNA扩增是基于主要真菌DNA条形码(内部转录间隔区(ITS)区域)的DNA条形码/元条形码的先决条件。然而,DNA提取对基于长读序列的真菌鉴定提出了重大挑战,因为获得长而完整的真菌DNA是必不可少的。比较不同的裂解方法表明,CTAB/SDS化学裂解从纯真菌培养物中产生的DNA产量高(根据物种的不同,产量在11.20±0.17µg至22.99±2.22µg之间),同时保持了完整性。评估人类DNA耗尽方案的有效性表明,与未经处理的酵母加药的人类血液对照相比,人类reads减少了88.73%,真菌reads增加了99.53%。对开发的DNA提取方案在模拟临床血液培养中的评估表明,获得的DNA序列长度超过10 kb,能够在80%以上的活性孔中进行高效测序。根据NanoDrop分光光度计读数获得的260/280和260/230比值,DNA的质量分别超过1.8和2.0。这表明本文优化的方案具有巨大的潜力,可以从临床标本中提取高质量的真菌DNA,从而实现长读元基因组测序。重要性:开发了一种新的流线型DNA提取方案,以有效地从血液培养样品中分离高分子量真菌DNA,这对于长读测序应用至关重要。通过消除劳动密集型和剪切力诱导步骤的需要,例如液氮研磨或头部敲打,该方案更加用户友好,更适合临床实验室设置。清理和提取步骤的自动化进一步缩短了总体周转时间,缩短到6小时以下。虽然不是专门为超长DNA提取设计的,但该协议有效地支持通过牛津纳米孔技术(ONT)测序进行真菌鉴定。它产生高分子量的DNA,从而产生较长的序列片段,从而提高真菌读取的数量。未来的改进,包括自适应采样技术,可以通过减少对人类DNA消耗的需求来进一步简化这一过程,为更自动化、生物信息学驱动的工作流程铺平道路。
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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