Aralaguppe Shambhu G, Siddik Abu Bakar, Manickam Ashokkumar, Ambikan Anoop T, Kumar Milner M, Fernandes Sunjay Jude, Amogne Wondwossen, Bangaruswamy Dhinoth K, Hanna Luke Elizabeth, Sonnerborg Anders, Neogi Ujjwal
Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
HIV/AIDS Division, Department of Clinical Research, National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chennai, India.
J Virol Methods. 2016 Oct;236:98-104. doi: 10.1016/j.jviromet.2016.07.010. Epub 2016 Jul 19.
Analysing the HIV-1 near full-length genome (HIV-NFLG) facilitates new understanding into the diversity of virus population dynamics at individual or population level. In this study we developed a simple but high-throughput next generation sequencing (NGS) protocol for HIV-NFLG using clinical specimens and validated the method against an external quality control (EQC) panel. Clinical specimens (n=105) were obtained from three cohorts from two highly conserved HIV-1C epidemics (India and Ethiopia) and one diverse epidemic (Sweden). Additionally an EQC panel (n=10) was used to validate the protocol. HIV-NFLG was performed amplifying the HIV-genome (Gag-to-nef) in two fragments. NGS was performed using the Illumina HiSeq2500 after multiplexing 24 samples, followed by de novo assembly in Iterative Virus Assembler or VICUNA. Subtyping was carried out using several bioinformatics tools. Amplification of HIV-NFLG has 90% (95/105) success-rate in clinical specimens. NGS was successful in all clinical specimens (n=45) and EQA samples (n=10) attempted. The mean error for mutations for the EQC panel viruses were <1%. Subtyping identified two as A1C recombinant. Our results demonstrate the feasibility of a simple NGS-based HIV-NFLG that can potentially be used in the molecular surveillance for effective identification of subtypes and transmission clusters for operational public health intervention.
分析HIV-1近全长基因组(HIV-NFLG)有助于在个体或群体水平上对病毒群体动态的多样性有新的认识。在本研究中,我们使用临床标本开发了一种简单但高通量的下一代测序(NGS)方案用于HIV-NFLG,并针对外部质量控制(EQC)面板验证了该方法。临床标本(n = 105)来自两个高度保守的HIV-1C流行地区(印度和埃塞俄比亚)的三个队列以及一个多样化流行地区(瑞典)的一个队列。此外,使用一个EQC面板(n = 10)来验证该方案。通过将HIV基因组(从Gag到nef)扩增为两个片段来进行HIV-NFLG检测。在对24个样本进行多重化处理后,使用Illumina HiSeq2500进行NGS,随后在Iterative Virus Assembler或VICUNA中进行从头组装。使用几种生物信息学工具进行亚型分型。HIV-NFLG在临床标本中的扩增成功率为90%(95/105)。对所有尝试的临床标本(n = 45)和EQA样本(n = 10)进行NGS均成功。EQC面板病毒突变的平均误差<1%。亚型分型鉴定出两株为A1C重组型。我们的结果证明了一种基于简单NGS的HIV-NFLG的可行性,该方法有可能用于分子监测,以有效识别亚型和传播簇,用于公共卫生干预行动。