Camille Vellas, Amira Doudou, Sofiane Mohamed, Stéphanie Raymond, Nicolas Jeanne, Justine Latour, Sofia Demmou, Noémie Ranger, Dimitri Gonzalez, Pierre Delobel, Jacques Izopet
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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 <i>pol</i> and <i>env</i> 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 <i>pol</i> and <i>env</i> 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.</p>","PeriodicalId":16354,"journal":{"name":"Journal of Medical Virology","volume":"96 10","pages":""},"PeriodicalIF":6.8000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmv.29951","citationCount":"0","resultStr":"{\"title\":\"Comparison of short-read and long-read next-generation sequencing technologies for determining HIV-1 drug resistance\",\"authors\":\"Camille Vellas, Amira Doudou, Sofiane Mohamed, Stéphanie Raymond, Nicolas Jeanne, Justine Latour, Sofia Demmou, Noémie Ranger, Dimitri Gonzalez, Pierre Delobel, Jacques Izopet\",\"doi\":\"10.1002/jmv.29951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 <i>pol</i> and <i>env</i> 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 <i>pol</i> and <i>env</i> 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 <i>pol</i> and <i>env</i> 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. 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Comparison of short-read and long-read next-generation sequencing technologies for determining HIV-1 drug resistance
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.
期刊介绍:
The Journal of Medical Virology focuses on publishing original scientific papers on both basic and applied research related to viruses that affect humans. The journal publishes reports covering a wide range of topics, including the characterization, diagnosis, epidemiology, immunology, and pathogenesis of human virus infections. It also includes studies on virus morphology, genetics, replication, and interactions with host cells.
The intended readership of the journal includes virologists, microbiologists, immunologists, infectious disease specialists, diagnostic laboratory technologists, epidemiologists, hematologists, and cell biologists.
The Journal of Medical Virology is indexed and abstracted in various databases, including Abstracts in Anthropology (Sage), CABI, AgBiotech News & Information, National Agricultural Library, Biological Abstracts, Embase, Global Health, Web of Science, Veterinary Bulletin, and others.