Luk Ka-Cheung, Berg Michael G, Naccache Samia N, Kabre Beniwende, Federman Scot, Mbanya Dora, Kaptué Lazare, Chiu Charles Y, Brennan Catherine A, Hackett John
Abbott Diagnostics, Infectious Disease Research, Abbott Park, Illinois, United States of America.
Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, United States of America.
PLoS One. 2015 Nov 23;10(11):e0141723. doi: 10.1371/journal.pone.0141723. eCollection 2015.
Given the dynamic changes in HIV-1 complexity and diversity, next-generation sequencing (NGS) has the potential to revolutionize strategies for effective HIV global surveillance. In this study, we explore the utility of metagenomic NGS to characterize divergent strains of HIV-1 and to simultaneously screen for other co-infecting viruses. Thirty-five HIV-1-infected Cameroonian blood donor specimens with viral loads of >4.4 log10 copies/ml were selected to include a diverse representation of group M strains. Random-primed NGS libraries, prepared from plasma specimens, resulted in greater than 90% genome coverage for 88% of specimens. Correct subtype designations based on NGS were concordant with sub-region PCR data in 31 of 35 (89%) cases. Complete genomes were assembled for 25 strains, including circulating recombinant forms with relatively limited data available (7 CRF11_cpx, 2 CRF13_cpx, 1 CRF18_cpx, and 1 CRF37_cpx), as well as 9 unique recombinant forms. HPgV (formerly designated GBV-C) co-infection was detected in 9 of 35 (25%) specimens, of which eight specimens yielded complete genomes. The recovered HPgV genomes formed a diverse cluster with genotype 1 sequences previously reported from Ghana, Uganda, and Japan. The extensive genome coverage obtained by NGS improved accuracy and confidence in phylogenetic classification of the HIV-1 strains present in the study population relative to conventional sub-region PCR. In addition, these data demonstrate the potential for metagenomic analysis to be used for routine characterization of HIV-1 and identification of other viral co-infections.
鉴于HIV-1的复杂性和多样性不断动态变化,新一代测序(NGS)有潜力彻底改变有效的HIV全球监测策略。在本研究中,我们探索宏基因组NGS在鉴定HIV-1不同毒株以及同时筛查其他合并感染病毒方面的效用。选择了35份病毒载量>4.4 log10拷贝/ml的感染HIV-1的喀麦隆献血者标本,以纳入M组毒株的多样化代表。从血浆标本制备的随机引物NGS文库,使88%的标本基因组覆盖率超过90%。基于NGS的正确亚型指定与35例中的31例(89%)的亚区域PCR数据一致。为25株病毒组装了完整基因组,包括循环重组型,其现有数据相对有限(7株CRF11_cpx、2株CRF13_cpx、1株CRF18_cpx和1株CRF37_cpx),以及9种独特的重组型。在35份标本中的9份(25%)检测到HPgV(以前称为GBV-C)合并感染,其中8份标本产生了完整基因组。回收的HPgV基因组与先前从加纳、乌干达和日本报道的1型基因型序列形成了一个多样化的聚类。与传统的亚区域PCR相比,NGS获得的广泛基因组覆盖率提高了对研究人群中存在的HIV-1毒株进行系统发育分类的准确性和可信度。此外,这些数据证明了宏基因组分析用于HIV-1常规鉴定和其他病毒合并感染鉴定的潜力。