生物
基因组
病毒学
基因组
纳米孔测序
深度测序
猪繁殖与呼吸综合征病毒
DNA测序
计算生物学
病毒
遗传学
基因
作者
Lu Chen,Xue Gao,Wenzhi Xue,Shishan Yuan,Mingqiu Liu,Zhi Sun
标识
DOI:10.1016/j.jviromet.2022.114545
摘要
Metagenomic next-generation sequencing (mNGS) is a rapid deep-sequencing diagnostic tool for the unbiased identification of pathogens. In this study, we established a nanopore-sequencing-based mNGS protocol to detect two major viral pathogens of swine, Porcine reproductive and respiratory syndrome virus (PRRSV) and Porcine epidemic diarrhea virus (PEDV). Samples were spiked with the serially diluted viruses as standard references to define the specific protocols. The utility of the method was evaluated with key parameters. The limits of detection for PRRSV and PEDV were 2.3 × 102 and 9.0 × 104 copies per reaction, respectively, and good correlations between PCR quantification cycle value and the mapped read count (log value) were observed. Only the nanopore reads could be assembled de novo into nearly full-length of the PRRSV genome, with 99.9% pairwise identity, and 90.0% genome coverage for PEDV. The established protocol was validated in PRRSV-positive clinical samples. The results for PRRSV-positive tissue and serum samples tested with mNGS protocol were 100% concordant with quantitative PCR results. The protocol also recognized infections of single or multiple viruses in a single sample. In conclusion, we have established a nanopore-sequencing-based mNGS protocol that efficiently identifies and characterizes viral pathogen(s) in a variety of clinical sample types.
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