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Direct whole-genome sequencing of HIV-1 for clinical drug-resistance analysis and public health surveillance.
Coldbeck-Shackley, Rosa C; Adamson, Penelope J; Whybrow, Daryn; Selway, Caitlin A; Papanicolas, Lito E; Turra, Mark; Leong, Lex E X.
Affiliation
  • Coldbeck-Shackley RC; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia. Electronic address: rosa.coldbeck-shackley@sa.gov.au.
  • Adamson PJ; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia.
  • Whybrow D; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia.
  • Selway CA; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia.
  • Papanicolas LE; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia.
  • Turra M; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia.
  • Leong LEX; Microbiology and Infectious Diseases, SA Pathology, Adelaide 5000 Australia; UniSA Clinical and Health Sciences, University of South Australia, Adelaide 5000 Australia.
J Clin Virol ; 174: 105709, 2024 10.
Article in En | MEDLINE | ID: mdl-38924832
ABSTRACT

BACKGROUND:

Human Immunodeficiency virus type 1 (HIV-1) remains a significant global health threat partly due to its ability to develop resistance to anti-retroviral therapies. HIV-1 genotype and drug resistance analysis of the polymerase (pol) sequence is a mainstay of its clinical and public health management. However, as new treatments and resistances evolve, analysis methods must change accordingly. In this study, we outline the development and implementation of a direct whole-genome sequencing approach (dWGS) using probe-capture target-enrichment for HIV-1 genotype and drug resistance analysis.

METHODS:

We implemented dWGS and performed parallel pol Sanger sequencing for clinical samples, followed by comparative genotype and drug-resistance analysis. These HIV-1 WGS sequences were also utilised for a novel partitioned phylogenetic analysis.

RESULTS:

Optimised nucleic acid extraction and DNAse I treatment significantly increased HIV-1 whole-genome coverage and depth, and improved recovery of high-quality genomes from low viral load clinical samples, enabling routine sequencing of viral loads as low as 1000 copies/mL. Overall, dWGS was robust, accurate and more sensitive for detecting low-frequency variants at drug-resistance sites compared to Sanger sequencing. Analysis of multiple sequence regions improved phylogenetic reconstruction for recombinant HIV-1 sequences compared to analysis of pol sequence alone.

CONCLUSIONS:

These findings demonstrate dWGS enhances HIV-1 drug-resistance analysis by quantitative variant detection and improves reconstruction of HIV-1 phylogenies compared to traditional pol sequencing. This work supports that HIV-1 dWGS is a viable option to replace Sanger sequencing for clinical and public health applications.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / HIV Infections / HIV-1 / Genome, Viral / Drug Resistance, Viral / Whole Genome Sequencing / Genotype Limits: Humans Language: En Journal: J Clin Virol Journal subject: VIROLOGIA Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phylogeny / HIV Infections / HIV-1 / Genome, Viral / Drug Resistance, Viral / Whole Genome Sequencing / Genotype Limits: Humans Language: En Journal: J Clin Virol Journal subject: VIROLOGIA Year: 2024 Document type: Article Country of publication: