评估用于诊断和监测病毒的元基因组学和靶向方法

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY Genome Medicine Pub Date : 2024-09-09 DOI:10.1186/s13073-024-01380-x
Sarah Buddle, Leysa Forrest, Naomi Akinsuyi, Luz Marina Martin Bernal, Tony Brooks, Cristina Venturini, Charles Miller, Julianne R. Brown, Nathaniel Storey, Laura Atkinson, Timothy Best, Sunando Roy, Sian Goldsworthy, Sergi Castellano, Peter Simmonds, Heli Harvala, Tanya Golubchik, Rachel Williams, Judith Breuer, Sofia Morfopoulou, Oscar Enrique Torres Montaguth
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引用次数: 0

摘要

元基因组学是一种检测未知和新型病原体的强大方法。基于Illumina短线程测序的工作流程正在诊断实验室中逐渐形成。然而,测序深度要求高、周转时间长、灵敏度有限等问题阻碍了其更广泛的应用。我们研究了使用牛津纳米孔技术公司(ONT)的非靶向测序方案(可提供实时数据采集和分析)或靶向面板方法(可对已知病原体进行选择性测序并提高灵敏度)是否能克服这些局限性。我们评估了使用Illumina和ONT的现成非靶向元基因组工作流检测病毒的情况,以及使用Twist Bioscience综合病毒研究面板(CVRP)的基于Illumina的富集方法,该面板针对3153种病毒。我们测试的样本包括以人类 DNA/RNA 为背景的六种病毒模拟群落稀释系列,其设计类似于微生物丰度低、宿主含量高的临床样本。我们设计的方案旨在保留宿主转录组,因为这有助于确认是否存在传染性病原体。我们进一步比较了常用分类器的性能。使用Twist CVRP捕获比非靶向测序的灵敏度至少提高了10-100倍,因此适合检测低病毒载量(每毫升60个基因组拷贝(gc/ml)),但在诊断环境中可能需要其他方法来检测非靶向生物。虽然非靶向 ONT 在病毒载量较高(60,000 gc/ml)时具有良好的灵敏度,但在病毒载量较低(600-6000 gc/ml)时,要达到与非靶向 Illumina 方案相当的灵敏度,需要更长时间和更昂贵的测序运行。非靶向 ONT 比非靶向 Illumina 测序具有更好的特异性。不过,应用稳健阈值可使分类分类器之间的结果标准化。宿主基因表达分析以非靶向 Illumina 测序为最佳,但 CVRP 和 ONT 均可实现。元基因组学有可能成为诊断的标准方法,也是发现新兴病原体的有力工具。非靶向的Illumina和ONT元基因组学以及用Twist CVRP进行的捕获在灵敏度、特异性、周转时间和成本方面有不同的优势,最佳方法将取决于临床环境。
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Evaluating metagenomics and targeted approaches for diagnosis and surveillance of viruses
Metagenomics is a powerful approach for the detection of unknown and novel pathogens. Workflows based on Illumina short-read sequencing are becoming established in diagnostic laboratories. However, high sequencing depth requirements, long turnaround times, and limited sensitivity hinder broader adoption. We investigated whether we could overcome these limitations using protocols based on untargeted sequencing with Oxford Nanopore Technologies (ONT), which offers real-time data acquisition and analysis, or a targeted panel approach, which allows the selective sequencing of known pathogens and could improve sensitivity. We evaluated detection of viruses with readily available untargeted metagenomic workflows using Illumina and ONT, and an Illumina-based enrichment approach using the Twist Bioscience Comprehensive Viral Research Panel (CVRP), which targets 3153 viruses. We tested samples consisting of a dilution series of a six-virus mock community in a human DNA/RNA background, designed to resemble clinical specimens with low microbial abundance and high host content. Protocols were designed to retain the host transcriptome, since this could help confirm the absence of infectious agents. We further compared the performance of commonly used taxonomic classifiers. Capture with the Twist CVRP increased sensitivity by at least 10–100-fold over untargeted sequencing, making it suitable for the detection of low viral loads (60 genome copies per ml (gc/ml)), but additional methods may be needed in a diagnostic setting to detect untargeted organisms. While untargeted ONT had good sensitivity at high viral loads (60,000 gc/ml), at lower viral loads (600–6000 gc/ml), longer and more costly sequencing runs would be required to achieve sensitivities comparable to the untargeted Illumina protocol. Untargeted ONT provided better specificity than untargeted Illumina sequencing. However, the application of robust thresholds standardized results between taxonomic classifiers. Host gene expression analysis is optimal with untargeted Illumina sequencing but possible with both the CVRP and ONT. Metagenomics has the potential to become standard-of-care in diagnostics and is a powerful tool for the discovery of emerging pathogens. Untargeted Illumina and ONT metagenomics and capture with the Twist CVRP have different advantages with respect to sensitivity, specificity, turnaround time and cost, and the optimal method will depend on the clinical context.
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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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