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利用单分子实时测序技术对性传播丙型肝炎病毒(HCV)集群中从急性感染到慢性感染的HCV包膜多样性进行表征。

Characterization of Hepatitis C Virus (HCV) Envelope Diversification from Acute to Chronic Infection within a Sexually Transmitted HCV Cluster by Using Single-Molecule, Real-Time Sequencing.

作者信息

Ho Cynthia K Y, Raghwani Jayna, Koekkoek Sylvie, Liang Richard H, Van der Meer Jan T M, Van Der Valk Marc, De Jong Menno, Pybus Oliver G, Schinkel Janke, Molenkamp Richard

机构信息

Department of Medical Microbiology, Academic Medical Center, Amsterdam, the Netherlands.

Department of Zoology, University of Oxford, Oxford, United Kingdom.

出版信息

J Virol. 2017 Feb 28;91(6). doi: 10.1128/JVI.02262-16. Print 2017 Mar 15.

Abstract

In contrast to other available next-generation sequencing platforms, PacBio single-molecule, real-time (SMRT) sequencing has the advantage of generating long reads albeit with a relatively higher error rate in unprocessed data. Using this platform, we longitudinally sampled and sequenced the hepatitis C virus (HCV) envelope genome region (1,680 nucleotides [nt]) from individuals belonging to a cluster of sexually transmitted cases. All five subjects were coinfected with HIV-1 and a closely related strain of HCV genotype 4d. In total, 50 samples were analyzed by using SMRT sequencing. By using 7 passes of circular consensus sequencing, the error rate was reduced to 0.37%, and the median number of sequences was 612 per sample. A further reduction of insertions was achieved by alignment against a sample-specific reference sequence. However, recombination during PCR amplification could not be excluded. Phylogenetic analysis supported close relationships among HCV sequences from the four male subjects and subsequent transmission from one subject to his female partner. Transmission was characterized by a strong genetic bottleneck. Viral genetic diversity was low during acute infection and increased upon progression to chronicity but subsequently fluctuated during chronic infection, caused by the alternate detection of distinct coexisting lineages. SMRT sequencing combines long reads with sufficient depth for many phylogenetic analyses and can therefore provide insights into within-host HCV evolutionary dynamics without the need for haplotype reconstruction using statistical algorithms. Next-generation sequencing has revolutionized the study of genetically variable RNA virus populations, but for phylogenetic and evolutionary analyses, longer sequences than those generated by most available platforms, while minimizing the intrinsic error rate, are desired. Here, we demonstrate for the first time that PacBio SMRT sequencing technology can be used to generate full-length HCV envelope sequences at the single-molecule level, providing a data set with large sequencing depth for the characterization of intrahost viral dynamics. The selection of consensus reads derived from at least 7 full circular consensus sequencing rounds significantly reduced the intrinsic high error rate of this method. We used this method to genetically characterize a unique transmission cluster of sexually transmitted HCV infections, providing insight into the distinct evolutionary pathways in each patient over time and identifying the transmission-associated genetic bottleneck as well as fluctuations in viral genetic diversity over time, accompanied by dynamic shifts in viral subpopulations.

摘要

与其他现有的新一代测序平台相比,PacBio单分子实时(SMRT)测序具有生成长读长的优势,尽管未处理数据中的错误率相对较高。利用该平台,我们对一组性传播病例个体的丙型肝炎病毒(HCV)包膜基因组区域(1680个核苷酸[nt])进行了纵向采样和测序。所有五名受试者均同时感染了HIV-1和一种密切相关的HCV 4d基因型毒株。总共使用SMRT测序分析了50个样本。通过进行7轮环状一致序列测序,错误率降至0.37%,每个样本的序列中位数为612个。通过与样本特异性参考序列比对,进一步减少了插入。然而,不能排除PCR扩增过程中的重组。系统发育分析支持了四名男性受试者的HCV序列之间的密切关系以及随后从一名受试者向其女性伴侣的传播。传播的特征是存在强烈的遗传瓶颈。病毒遗传多样性在急性感染期间较低,在进展为慢性感染时增加,但随后在慢性感染期间波动,这是由交替检测到不同的共存谱系引起的。SMRT测序将长读长与足够的深度相结合,适用于许多系统发育分析,因此无需使用统计算法进行单倍型重建就能深入了解宿主内HCV的进化动态。新一代测序彻底改变了对基因可变RNA病毒群体的研究,但对于系统发育和进化分析而言,需要比大多数现有平台生成的序列更长,同时将固有错误率降至最低。在这里,我们首次证明PacBio SMRT测序技术可用于在单分子水平生成全长HCV包膜序列,为表征宿主内病毒动态提供具有大测序深度的数据集。从至少7轮完整的环状一致序列测序中选择一致读段显著降低了该方法固有的高错误率。我们使用这种方法对性传播HCV感染的一个独特传播簇进行基因特征分析,深入了解了每位患者随时间的不同进化途径,确定了与传播相关的遗传瓶颈以及病毒遗传多样性随时间的波动,同时伴随着病毒亚群的动态变化。

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