Complete genomic characterization of global pathogens respiratory syntical virus and human norovirus using probe based capture enrichment.

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和人类诺如病毒进行完整的基因组表征

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作者:Bhamidipati Sravya V, Surathu Anil, Chao Hsu, Agustinho Daniel P, Xiang Qin, Kottapalli Kavya, Santhanam Abirami, Momin Zeineen, Walker Kimberly, Menon Vipin K, Weissenberger George, Emerick Nathanael, Mahjabeen Faria, Meng Qingchang, Hu Jianhong, Sucgang Richard, Henke David, Sedlazeck Fritz J, Khan Ziad M, Metcalf Ginger A, Avadhanula Vasanthi, Piedra Pedro A, Ramani Sasirekha, Atmar Robert L, Estes Mary K, Petrosino Joseph F, Gibbs Richard A, Muzny Donna M, Javornik Sara Cregeen, Doddapaneni Harsha
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. Samples with Ct values 17.0-29.9 for RSV, and 20.2-34.8 for HuNoV, with some HuNoV below the detection limit were sequenced. The percentage of 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. Full-length genomes were obtained for all RSV positive samples and 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.

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