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      The utility of integrating nanopore sequencing into routine HIV-1 drug resistance surveillance

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          Abstract

          HIV continues to be a significant global public health concern. In 2022, an estimated 29.8 million people living with HIV received antiretroviral treatment (ART). From this, an estimated 10–15% of individuals living with HIV have drug-resistant strains of the virus. Testing for resistance to antiretroviral drugs is recommended before initiating ART. However, such services are often inaccessible due to costs and the need for complex laboratory infrastructure. The assessment of HIV drug resistance (HIVDR) relies on genotyping sequencing and algorithms to interpret genotypic resistance test results. Genotypic assays involve Sanger sequencing of the reverse transcriptase ( RT), protease ( PR) and integrase ( IN) genes of circulating RNA in plasma to detect mutations that are known to confer drug resistance. While state-of-the-art sequencing technologies have swept the globe and enhanced our global pandemic response capabilities, they are still sparingly used for HIVDR surveillance. The scale-up of ART, especially in low- and middle-income countries, necessitates the establishment of cheap, expeditious and decentralized methods for HIVDR monitoring. Here, we outline how one low-capital next-generation sequencing platform, namely, nanopore sequencing, could augment efforts in expanding HIVDR surveillance efforts, especially in resource-limited settings. We discuss that because of its versatility, nanopore sequencing can accelerate HIVDR surveillance in conjunction with scaling up ART efforts and outline some of the challenges that need to be considered before its widespread and routine adaptation to detect drug resistance rapidly.

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          Most cited references139

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            Minimap2: pairwise alignment for nucleotide sequences

            Heng Li (2018)
            Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic contigs over 100 Mb in length. Existing alignment programs are unable or inefficient to process such data at scale, which presses for the development of new alignment algorithms.
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              Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation

              Long-read single-molecule sequencing has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. However, given the relatively high error rates of such technologies, efficient and accurate assembly of large repeats and closely related haplotypes remains challenging. We address these issues with Canu, a successor of Celera Assembler that is specifically designed for noisy single-molecule sequences. Canu introduces support for nanopore sequencing, halves depth-of-coverage requirements, and improves assembly continuity while simultaneously reducing runtime by an order of magnitude on large genomes versus Celera Assembler 8.2. These advances result from new overlapping and assembly algorithms, including an adaptive overlapping strategy based on tf-idf weighted MinHash and a sparse assembly graph construction that avoids collapsing diverged repeats and haplotypes. We demonstrate that Canu can reliably assemble complete microbial genomes and near-complete eukaryotic chromosomes using either Pacific Biosciences (PacBio) or Oxford Nanopore technologies and achieves a contig NG50 of >21 Mbp on both human and Drosophila melanogaster PacBio data sets. For assembly structures that cannot be linearly represented, Canu provides graph-based assembly outputs in graphical fragment assembly (GFA) format for analysis or integration with complementary phasing and scaffolding techniques. The combination of such highly resolved assembly graphs with long-range scaffolding information promises the complete and automated assembly of complex genomes.
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                Author and article information

                Contributors
                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                2025
                20 March 2025
                20 March 2025
                : 11
                : 3
                : 001375
                Affiliations
                [1 ]departmentDepartment of Infectious Disease Epidemiology , London School of Hygiene and Tropical Medicine, Keppel Street , London WC1E 7HT, UK
                [2 ]Medical Research Council/Uganda Virus Research Institute & London School of Hygiene and Tropical Medicine Uganda Unit, Plot 51-59 Nakiwogo Road, P. O. Box 49 , Entebbe, Uganda
                [3 ]St. Georges University of London, Cranmer Terrace, Tooting , London SW17 0RE, UK
                [4 ]Uganda Virus Research Institute, Plot 51-59 Nakiwogo Road, P. O. Box 49 , Entebbe, Uganda
                [5 ]departmentCentre for Mathematical Modelling of Infectious Diseases , London School of Hygiene and Tropical Medicine , London, UK
                Author notes

                D.C.T. has received free-of-charge reagents for nanopore sequencing and travel and accommodation expenses to speak at past Oxford Nanopore Technologies (ONT) conferences. ONT had no role in the preparation of the manuscript.

                Author information
                http://orcid.org/0000-0002-7620-9340
                Article
                001375
                10.1099/mgen.0.001375
                11925199
                40111248
                dc32a44c-6a8e-4527-a089-1e68e2ff565d
                Copyright © 2025 The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.

                History
                : 05 December 2024
                : 01 February 2025
                Funding
                Funded by: http://dx.doi.org/10.13039/501100000265; Medical Research Council
                Award ID: LID DTP MR/N013638/1
                Award Recipient :
                Funded by: National Institute of Health
                Award ID: R21AI162268
                Award Recipient :
                Categories
                Perspective
                Pathogens and Epidemiology

                drug resistance,hiv,nanopore sequencing,next-generation sequencing

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