Division of Gastroenterology and Hepatology, Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO, 63104, USA.
Wuhan Pulmonary Hospital, Wuhan, 430030, Hubei, China.
Arch Virol. 2020 Jan;165(1):127-135. doi: 10.1007/s00705-019-04466-9. Epub 2019 Nov 18.
In clinical virome research, whole-genome/transcriptome amplification is required when starting material is limited. An improved method, named "template-dependent multiple displacement amplification" (tdMDA), has recently been developed in our lab (Wang et al. in BioTechniques 63:21-25. https://doi.org/10.2144/000114566, 2017). In combination with Illumina sequencing and bioinformatics pipelines, its application in virome sequencing was explored using a serum sample from a patient with chronic hepatitis C virus (HCV) infection. In comparison to an amplification-free procedure, virome sequencing via tdMDA showed a 9.47-fold enrichment for HCV-mapped reads and, accordingly, an increase in HCV genome coverage from 28.5% to 70.1%. Eight serum samples from acute patients liver failure (ALF) with or without known etiology were then used for virome sequencing with an average depth at 94,913x. Both similarity-based (mapping, NCBI BLASTn, BLASTp, and profile hidden Markov model analysis) and similarity-independent methods (machine-learning algorithms) identified viruses from multiple families, including Herpesviridae, Picornaviridae, Myoviridae, and Anelloviridae. However, their commensal nature and cross-detection ruled out an etiological interpretation. Together with a lack of detection of novel viruses in a comprehensive analysis at a resolution of single reads, these data indicate that viral agents might be rare in ALF cases with indeterminate etiology.
在临床病毒组学研究中,当起始材料有限时,需要进行全基因组/转录组扩增。最近,我们实验室开发了一种改进的方法,称为“模板依赖性多重置换扩增”(tdMDA)(Wang 等人,BioTechniques 63:21-25. https://doi.org/10.2144/000114566,2017)。结合 Illumina 测序和生物信息学管道,我们使用慢性丙型肝炎病毒(HCV)感染患者的血清样本探索了其在病毒组测序中的应用。与无扩增程序相比,通过 tdMDA 进行的病毒组测序对 HCV 映射读取进行了 9.47 倍的富集,相应地,HCV 基因组覆盖率从 28.5%增加到 70.1%。然后,使用平均深度为 94,913x 的 8 份来自急性肝衰竭(ALF)患者的急性患者(有或没有已知病因)的血清样本进行病毒组测序。基于相似性的方法(映射、NCBI BLASTn、BLASTp 和轮廓隐马尔可夫模型分析)和非基于相似性的方法(机器学习算法)均可鉴定来自多种科的病毒,包括疱疹病毒科、小核糖核酸病毒科、肌病毒科和圆环病毒科。然而,它们的共生性质和交叉检测排除了病因学解释。与在单读分辨率的全面分析中未检测到新型病毒一起,这些数据表明,在病因不明的 ALF 病例中,病毒剂可能很少见。