Berg Michael G, Yamaguchi Julie, Alessandri-Gradt Elodie, Tell Robert W, Plantier Jean-Christophe, Brennan Catherine A
Infectious Diseases Research, Abbott Diagnostics, Abbott Park, Illinois, USA
Infectious Diseases Research, Abbott Diagnostics, Abbott Park, Illinois, USA.
J Clin Microbiol. 2016 Apr;54(4):868-82. doi: 10.1128/JCM.02479-15. Epub 2015 Dec 23.
Molecular surveillance is essential to monitor HIV diversity and track emerging strains. We have developed a universal library preparation method (HIV-SMART [i.e.,switchingmechanismat 5' end ofRNAtranscript]) for next-generation sequencing that harnesses the specificity of HIV-directed priming to enable full genome characterization of all HIV-1 groups (M, N, O, and P) and HIV-2. Broad application of the HIV-SMART approach was demonstrated using a panel of diverse cell-cultured virus isolates. HIV-1 non-subtype B-infected clinical specimens from Cameroon were then used to optimize the protocol to sequence directly from plasma. When multiplexing 8 or more libraries per MiSeq run, full genome coverage at a median ∼2,000× depth was routinely obtained for either sample type. The method reproducibly generated the same consensus sequence, consistently identified viral sequence heterogeneity present in specimens, and at viral loads of ≤4.5 log copies/ml yielded sufficient coverage to permit strain classification. HIV-SMART provides an unparalleled opportunity to identify diverse HIV strains in patient specimens and to determine phylogenetic classification based on the entire viral genome. Easily adapted to sequence any RNA virus, this technology illustrates the utility of next-generation sequencing (NGS) for viral characterization and surveillance.
分子监测对于监测HIV的多样性和追踪新出现的毒株至关重要。我们开发了一种用于下一代测序的通用文库制备方法(HIV-SMART [即RNA转录本5'端的切换机制]),该方法利用HIV定向引物的特异性,能够对所有HIV-1组(M、N、O和P)以及HIV-2进行全基因组表征。使用一组不同的细胞培养病毒分离株证明了HIV-SMART方法的广泛应用。随后,利用来自喀麦隆的HIV-1非B亚型感染的临床标本对该方案进行优化,以直接从血浆中进行测序。当每个MiSeq运行多路复用8个或更多文库时,对于任何一种样本类型,通常都能在中位数约为2000倍深度下获得全基因组覆盖。该方法可重复产生相同的一致序列,始终能识别标本中存在的病毒序列异质性,并且在病毒载量≤4.5 log拷贝/ml时,能产生足够的覆盖度以进行毒株分类。HIV-SMART为识别患者标本中的多种HIV毒株以及基于整个病毒基因组确定系统发育分类提供了无与伦比的机会。该技术易于适应对任何RNA病毒进行测序,说明了下一代测序(NGS)在病毒表征和监测方面的实用性。