Comparison of short-read and long-read next-generation sequencing technologies for determining HIV-1 drug resistance
- PMID: 39387352
- DOI: 10.1002/jmv.29951
Comparison of short-read and long-read next-generation sequencing technologies for determining HIV-1 drug resistance
Abstract
Accurate HIV-1 genome sequencing is necessary to identify drug resistance mutations (DRMs) in people with HIV-1 (PWH). Next-generation-sequencing (NGS) allows the detection of minor variants and is now available in many laboratories. Our study aimed to compare two NGS approaches, a "short read" sequencing protocol using DeepChek® Whole Genome HIV-1 Assay on Illumina, and a "long read" sequencing protocol of HIV-1 pol and env single-molecule real-time sequencing (SMRT) on Pacific Biosciences (PacBio). We analyzed 16 plasma samples and 13 cellular samples from PWH. HIV-1 whole genome was amplified into five amplicons using DeepChek® Whole Genome HIV-1 Assay and sequenced on an iSeq. 100. In parallel, HIV-1 pol and env genes were separately amplified and sequenced using PacBio SMRT system with the circular consensus sequencing mode on a Sequel IIe. Concordance rates for determining DRMs with both approaches varied depending on the HIV-1 region, with higher concordance in the integrase region compared to the reverse transcriptase and protease regions. DeepChek® Whole Genome HIV-1 Assay exhibited better sensitivity in HIV-1 RNA sequencing of plasmas with lower viral loads. In cell HIV-1 DNA sequencing, the DeepChek® Whole Genome HIV-1 Assay performed better in pol and env sequencing but detected more APOBEC-induced DRMs, which can represent defective proviruses. Our findings indicate that both DeepChek® Whole Genome HIV-1 Assay and PacBio SMRT sequencing exhibit good performance for subtype determination, detection, and quantification of DRMs of the HIV-1 genome. However, some discrepancies were found in cellular samples, highlighting the challenges of interpreting HIV-1 DNA DRMs.
Keywords: HIV‐1; SMRT sequencing; drug‐resistance mutation; whole genome sequencing.
© 2024 The Author(s). Journal of Medical Virology published by Wiley Periodicals LLC.
References
REFERENCES
-
- HIV drug resistance report 2019. Accessed February 7, 2024. https://www.who.int/publications-detail-redirect/WHO-CDS-HIV-19.21
-
- Allavena C, Rodallec A, Leplat A, et al. Interest of proviral HIV‐1 DNA genotypic resistance testing in virologically suppressed patients candidate for maintenance therapy. J Virol Methods. 2018;251:106‐110. doi:10.1016/j.jviromet.2017.10.016
-
- Armenia D, Zaccarelli M, Borghi V, et al. Resistance detected in PBMCs predicts virological rebound in HIV‐1 suppressed patients switching treatment. J Clin Virol. 2018;104:61‐64. doi:10.1016/j.jcv.2018.04.001
-
- Mangeat B, Turelli P, Caron G, Friedli M, Perrin L, Trono D. Broad antiretroviral defence by human APOBEC3G through lethal editing of nascent reverse transcripts. Nature. 2003;424(6944):99‐103. doi:10.1038/nature01709
-
- Noguera‐Julian M, Cozzi‐Lepri A, Di Giallonardo F, et al. Contribution of APOBEC3G/F activity to the development of low‐abundance drug‐resistant human immunodeficiency virus type 1 variants. Clin Microbiol Infect. 2016;22(2):191‐200. doi:10.1016/j.cmi.2015.10.004
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical