基于富集的宏基因组方法在鉴定多种呼吸道病原体中的实证评估。
Empirical assessment of the enrichment-based metagenomic methods in identifying diverse respiratory pathogens.
机构信息
Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Faculty of Science and Technology, University of Canberra, ACT, Canberra, Australia.
出版信息
Sci Rep. 2024 Oct 18;14(1):24493. doi: 10.1038/s41598-024-75120-x.
Probe-based nucleic acid enrichment represents an effective route to enhance the detection capacity of next-generation sequencing (NGS) in a set of clinically diverse and relevant microbial species. In this study, we assessed the effect of the enrichment-based sequencing on identifying respiratory infections using tiling RNA probes targeting 76 respiratory pathogens and sequenced using both Illumina and Oxford Nanopore platforms. Forty respiratory swab samples pre-tested for a panel of respiratory pathogens by qPCR were used to benchmark the sequencing data. We observed a general improvement in sensitivity after enrichment. The overall detection rate increased from 73 to 85% after probe capture detected by Illumina. Moreover, enrichment with probe sets boosted the frequency of unique pathogen reads by 34.6 and 37.8-fold for Illumina DNA and cDNA sequencing, respectively. This also resulted in significant improvements on genome coverage especially in viruses. Despite these advantages, we found that library pooling may cause reads mis-assignment, probably due to crosstalk issues arise from post-capture PCR and from pooled sequencing, thus increasing the risk of bleed-through signal. Taken together, an overall improvement in the breadth and depth of pathogen coverage is achieved using enrichment-based sequencing method. For future applications, automated library processing and pooling-free sequencing could enhance the precision and timeliness of probe enrichment-based clinical metagenomics.
基于探针的核酸富集代表了一种有效的途径,可以提高下一代测序(NGS)在一组临床多样化和相关微生物物种中的检测能力。在这项研究中,我们评估了基于富集的测序方法在使用针对 76 种呼吸道病原体的靶向 RNA 探针进行测序时对识别呼吸道感染的影响,该探针使用 Illumina 和 Oxford Nanopore 平台进行测序。使用 Illumina 检测,通过靶向 76 种呼吸道病原体的 RNA 探针进行富集后,观察到灵敏度普遍提高。经过探针捕获检测后,总体检测率从 73%提高到 85%。此外,富集探针集分别将独特病原体读数的频率提高了 34.6 倍和 37.8 倍,用于 Illumina DNA 和 cDNA 测序。这也导致基因组覆盖率显著提高,特别是在病毒方面。尽管有这些优势,但我们发现文库池化可能导致读取错误分配,可能是由于捕获后 PCR 和池化测序引起的串扰问题,从而增加了漏检信号的风险。总之,使用基于富集的测序方法可以全面提高病原体覆盖的广度和深度。对于未来的应用,自动化文库处理和无池化测序可以提高探针富集临床宏基因组学的精度和及时性。