HIV-1 Protease, Reverse Transcriptase, and Integrase Variation

HIV-1 protease (PR), reverse transcriptase (RT), and integrase (IN) variability presents a challenge to laboratories performing genotypic resistance testing. This challenge will grow with increased sequencing of samples enriched for proviral DNA such as dried blood spots and increased use of next-ge...

Full description

Bibliographic Details
Main Authors: Rhee, Soo-Yon, Sankaran, Kris, Varghese, Vici, Winters, Mark A., Hurt, Christopher B., Eron, Joseph J., Parkin, Neil, Holmes, Susan P., Holodniy, Mark, Shafer, Robert W.
Format: Online
Language:English
Published: American Society for Microbiology 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907232/
id pubmed-4907232
recordtype oai_dc
spelling pubmed-49072322016-07-01 HIV-1 Protease, Reverse Transcriptase, and Integrase Variation Rhee, Soo-Yon Sankaran, Kris Varghese, Vici Winters, Mark A. Hurt, Christopher B. Eron, Joseph J. Parkin, Neil Holmes, Susan P. Holodniy, Mark Shafer, Robert W. Genetic Diversity and Evolution HIV-1 protease (PR), reverse transcriptase (RT), and integrase (IN) variability presents a challenge to laboratories performing genotypic resistance testing. This challenge will grow with increased sequencing of samples enriched for proviral DNA such as dried blood spots and increased use of next-generation sequencing (NGS) to detect low-abundance HIV-1 variants. We analyzed PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to characterize variation at each amino acid position, identify mutations indicating APOBEC-mediated G-to-A editing, and identify mutations resulting from selective drug pressure. Forty-seven percent of PR, 37% of RT, and 34% of IN positions had one or more amino acid variants with a prevalence of ≥1%. Seventy percent of PR, 60% of RT, and 60% of IN positions had one or more variants with a prevalence of ≥0.1%. Overall 201 PR, 636 RT, and 346 IN variants had a prevalence of ≥0.1%. The median intersubtype prevalence ratios were 2.9-, 2.1-, and 1.9-fold for these PR, RT, and IN variants, respectively. Only 5.0% of PR, 3.7% of RT, and 2.0% of IN variants had a median intersubtype prevalence ratio of ≥10-fold. Variants at lower prevalences were more likely to differ biochemically and to be part of an electrophoretic mixture compared to high-prevalence variants. There were 209 mutations indicative of APOBEC-mediated G-to-A editing and 326 mutations nonpolymorphic treatment selected. Identification of viruses with a high number of APOBEC-associated mutations will facilitate the quality control of dried blood spot sequencing. Identifying sequences with a high proportion of rare mutations will facilitate the quality control of NGS. American Society for Microbiology 2016-06-10 /pmc/articles/PMC4907232/ /pubmed/27099321 http://dx.doi.org/10.1128/JVI.00495-16 Text en Copyright © 2016 Rhee et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) .
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Rhee, Soo-Yon
Sankaran, Kris
Varghese, Vici
Winters, Mark A.
Hurt, Christopher B.
Eron, Joseph J.
Parkin, Neil
Holmes, Susan P.
Holodniy, Mark
Shafer, Robert W.
spellingShingle Rhee, Soo-Yon
Sankaran, Kris
Varghese, Vici
Winters, Mark A.
Hurt, Christopher B.
Eron, Joseph J.
Parkin, Neil
Holmes, Susan P.
Holodniy, Mark
Shafer, Robert W.
HIV-1 Protease, Reverse Transcriptase, and Integrase Variation
author_facet Rhee, Soo-Yon
Sankaran, Kris
Varghese, Vici
Winters, Mark A.
Hurt, Christopher B.
Eron, Joseph J.
Parkin, Neil
Holmes, Susan P.
Holodniy, Mark
Shafer, Robert W.
author_sort Rhee, Soo-Yon
title HIV-1 Protease, Reverse Transcriptase, and Integrase Variation
title_short HIV-1 Protease, Reverse Transcriptase, and Integrase Variation
title_full HIV-1 Protease, Reverse Transcriptase, and Integrase Variation
title_fullStr HIV-1 Protease, Reverse Transcriptase, and Integrase Variation
title_full_unstemmed HIV-1 Protease, Reverse Transcriptase, and Integrase Variation
title_sort hiv-1 protease, reverse transcriptase, and integrase variation
description HIV-1 protease (PR), reverse transcriptase (RT), and integrase (IN) variability presents a challenge to laboratories performing genotypic resistance testing. This challenge will grow with increased sequencing of samples enriched for proviral DNA such as dried blood spots and increased use of next-generation sequencing (NGS) to detect low-abundance HIV-1 variants. We analyzed PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to characterize variation at each amino acid position, identify mutations indicating APOBEC-mediated G-to-A editing, and identify mutations resulting from selective drug pressure. Forty-seven percent of PR, 37% of RT, and 34% of IN positions had one or more amino acid variants with a prevalence of ≥1%. Seventy percent of PR, 60% of RT, and 60% of IN positions had one or more variants with a prevalence of ≥0.1%. Overall 201 PR, 636 RT, and 346 IN variants had a prevalence of ≥0.1%. The median intersubtype prevalence ratios were 2.9-, 2.1-, and 1.9-fold for these PR, RT, and IN variants, respectively. Only 5.0% of PR, 3.7% of RT, and 2.0% of IN variants had a median intersubtype prevalence ratio of ≥10-fold. Variants at lower prevalences were more likely to differ biochemically and to be part of an electrophoretic mixture compared to high-prevalence variants. There were 209 mutations indicative of APOBEC-mediated G-to-A editing and 326 mutations nonpolymorphic treatment selected. Identification of viruses with a high number of APOBEC-associated mutations will facilitate the quality control of dried blood spot sequencing. Identifying sequences with a high proportion of rare mutations will facilitate the quality control of NGS.
publisher American Society for Microbiology
publishDate 2016
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907232/
_version_ 1613594464706625536