Aralaguppe Shambhu G, Ambikan Anoop T, Ashokkumar Manickam, Kumar Milner M, Hanna Luke Elizabeth, Amogne Wondwossen, Sönnerborg Anders, Neogi Ujjwal
Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Huddinge, 14186 Stockholm, Sweden.
Department of HIV/AIDS, National Institute for Research in Tuberculosis, Indian Council of Medical Research, Chennai 600031, India.
Viruses. 2019 Aug 30;11(9):806. doi: 10.3390/v11090806.
The detection of drug resistance mutations (DRMs) in minor viral populations is of potential clinical importance. However, sophisticated computational infrastructure and competence for analysis of high-throughput sequencing (HTS) data lack at most diagnostic laboratories. Thus, we have proposed a new pipeline, MiDRM, to quantify DRM from the HIV-1 region. The gag-vpu region of 87 plasma samples from HIV-infected individuals from three cohorts was amplified and sequenced by Illumina HiSeq2500. The sequence reads were adapter-trimmed, followed by analysis using in-house scripts. Samples from Swedish and Ethiopian cohorts were also sequenced by Sanger sequencing. The pipeline was validated against the online tool PASeq (Polymorphism Analysis by Sequencing). Based on an error rate of <1%, a value of >1% was set as reliable to consider a minor variant. Both pipelines detected the mutations in the dominant viral populations, while discrepancies were observed in minor viral populations. In five HIV-1 subtype C samples, minor mutations were detected at the <5% level by MiDRM but not by PASeq. MiDRM is a computationally as well as labor efficient bioinformatics pipeline for the detection of DRM from HTS data. It identifies minor viral populations (<20%) of DRMs. Our method can be incorporated into large-scale surveillance of HIV-1 DRM.
在次要病毒群体中检测耐药性突变(DRM)具有潜在的临床重要性。然而,大多数诊断实验室缺乏用于分析高通量测序(HTS)数据的精密计算基础设施和能力。因此,我们提出了一种新的流程MiDRM,用于从HIV-1区域定量DRM。对来自三个队列的HIV感染个体的87份血浆样本的gag-vpu区域进行扩增,并通过Illumina HiSeq2500进行测序。对序列读数进行接头修剪,然后使用内部脚本进行分析。瑞典和埃塞俄比亚队列的样本也通过桑格测序进行测序。该流程针对在线工具PASeq(通过测序进行多态性分析)进行了验证。基于<1%的错误率,将>1%的值设定为可靠值,以考虑次要变异。两个流程都检测到了主要病毒群体中的突变,但在次要病毒群体中观察到了差异。在五个HIV-1 C亚型样本中,MiDRM检测到了<5%水平的次要突变,而PASeq未检测到。MiDRM是一种计算和人力高效的生物信息学流程,用于从HTS数据中检测DRM。它可识别DRM的次要病毒群体(<20%)。我们的方法可纳入HIV-1 DRM的大规模监测。