Complete Genomic Characterization of Global Pathogens, Respiratory Syncytial Virus (RSV), and Human Norovirus (HuNoV) Using Probe-based Capture Enrichment.

Harshavardhan Doddapaneni, Sravya V Bhamidipati, Anil Surathu, Hsu Chao, Daniel Paiva Agustinho, Qin Xiang, Kavya Kottapalli, Abirami Santhanam, Zeineen Momin, Kimberly Walker, Vipin K Menon, George M Weissenberger, Nathanael Emerick, Faria Mahjabeen, Qingchang Meng, Jianhong Hu, Richard Sucgang, David Morgan Henke, Fritz Sedlazeck, Ziad Khan, Ginger A Metcalf, Vasanthi Avadhanula, Pedro A Piedra, Sasirekha Ramani, Robert Legare Atmar, Mary K. Estes, Joseph F Petrosino, Richard Gibbs, Donna Muzny, Sara Joan Javornik Cregeen
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Abstract

Respiratory syncytial virus (RSV) is the leading cause of lower respiratory tract infections in children worldwide, while human noroviruses (HuNoV) are a leading cause of epidemic and sporadic acute gastroenteritis. Generating full-length genome sequences for these viruses is crucial for understanding viral diversity and tracking emerging variants. However, obtaining high-quality sequencing data is often challenging due to viral strain variability, quality, and low titers. Here, we present a set of comprehensive oligonucleotide probe sets designed from 1,570 RSV and 1,376 HuNoV isolate sequences in GenBank. Using these probe sets and a capture enrichment sequencing workflow, 85 RSV positive nasal swab samples and 55 (49 stool and six human intestinal enteroids) HuNoV positive samples encompassing major subtypes and genotypes were characterized. The Ct values of these samples ranged from 17.0-29.9 for RSV, and from 20.2-34.8 for HuNoV, with some HuNoV having below the detection limit. The mean percentage of post-processing reads mapped to viral genomes was 85.1% for RSV and 40.8% for HuNoV post-capture, compared to 0.08% and 1.15% in pre-capture libraries, respectively. Full-length genomes were>99% complete in all RSV positive samples and >96% complete in 47/55 HuNoV positive samples—a significant improvement over genome recovery from pre-capture libraries. RSV transcriptome (subgenomic mRNAs) sequences were also characterized from this data. Probe-based capture enrichment offers a comprehensive approach for RSV and HuNoV genome sequencing and monitoring emerging variants.
利用基于探针的捕获富集技术对全球病原体、呼吸道合胞病毒 (RSV) 和人类诺罗病毒 (HuNoV) 进行完整的基因组特征描述。
呼吸道合胞病毒(RSV)是全球儿童下呼吸道感染的主要病因,而人类诺如病毒(HuNoV)则是流行性和偶发性急性肠胃炎的主要病因。生成这些病毒的全长基因组序列对于了解病毒多样性和追踪新出现的变种至关重要。然而,由于病毒株的变异性、质量和低滴度,获得高质量的测序数据往往具有挑战性。在这里,我们展示了一套从 GenBank 中 1,570 个 RSV 和 1,376 个 HuNoV 分离序列中设计的综合寡核苷酸探针集。利用这些探针集和捕获富集测序工作流程,对 85 份 RSV 阳性鼻拭子样本和 55 份(49 份粪便和 6 份人体肠道样本)HuNoV 阳性样本进行了鉴定,其中包括主要的亚型和基因型。这些样本中 RSV 的 Ct 值为 17.0-29.9,HuNoV 的 Ct 值为 20.2-34.8,其中一些 HuNoV 低于检测限。捕获后处理读数映射到病毒基因组的平均百分比,RSV 为 85.1%,HuNoV 为 40.8%,而捕获前文库分别为 0.08% 和 1.15%。在所有 RSV 阳性样本中,全长基因组的完整率为 99%,在 47/55 个 HuNoV 阳性样本中,全长基因组的完整率为 96%--这比捕获前文库的基因组恢复率有了显著提高。RSV 转录组(亚基因组 mRNAs)序列的特征也来自这些数据。基于探针的捕获富集为 RSV 和 HuNoV 基因组测序和监测新出现的变体提供了一种全面的方法。
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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