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An integrated map of HIV genome-wide variation from a population perspective

BACKGROUND: The HIV pandemic is characterized by extensive genetic variability, which has challenged the development of HIV drugs and vaccines. Although HIV genomes have been classified into different types, groups, subtypes and recombinants, a comprehensive study that maps HIV genome-wide diversity...

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Autores principales: Li, Guangdi, Piampongsant, Supinya, Faria, Nuno Rodrigues, Voet, Arnout, Pineda-Peña, Andrea-Clemencia, Khouri, Ricardo, Lemey, Philippe, Vandamme, Anne-Mieke, Theys, Kristof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358901/
https://www.ncbi.nlm.nih.gov/pubmed/25808207
http://dx.doi.org/10.1186/s12977-015-0148-6
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author Li, Guangdi
Piampongsant, Supinya
Faria, Nuno Rodrigues
Voet, Arnout
Pineda-Peña, Andrea-Clemencia
Khouri, Ricardo
Lemey, Philippe
Vandamme, Anne-Mieke
Theys, Kristof
author_facet Li, Guangdi
Piampongsant, Supinya
Faria, Nuno Rodrigues
Voet, Arnout
Pineda-Peña, Andrea-Clemencia
Khouri, Ricardo
Lemey, Philippe
Vandamme, Anne-Mieke
Theys, Kristof
author_sort Li, Guangdi
collection PubMed
description BACKGROUND: The HIV pandemic is characterized by extensive genetic variability, which has challenged the development of HIV drugs and vaccines. Although HIV genomes have been classified into different types, groups, subtypes and recombinants, a comprehensive study that maps HIV genome-wide diversity at the population level is still lacking to date. This study aims to characterize HIV genomic diversity in large-scale sequence populations, and to identify driving factors that shape HIV genome diversity. RESULTS: A total of 2996 full-length genomic sequences from 1705 patients infected with 16 major HIV groups, subtypes and circulating recombinant forms (CRFs) were analyzed along with structural, immunological and peptide inhibitor information. Average nucleotide diversity of HIV genomes was almost 50% between HIV-1 and HIV-2 types, 37.5% between HIV-1 groups, 14.7% between HIV-1 subtypes, 8.2% within individual HIV-1 subtypes and less than 1% within single patients. Along the HIV genome, diversity patterns and compositions of nucleotides and amino acids were highly similar across different groups, subtypes and CRFs. Current HIV-derived peptide inhibitors were predominantly derived from conserved, solvent accessible and intrinsically ordered structures in the HIV-1 subtype B genome. We identified these conserved regions in Capsid, Nucleocapsid, Protease, Integrase, Reverse transcriptase, Vpr and the GP41 N terminus as potential drug targets. In the analysis of factors that impact HIV-1 genomic diversity, we focused on protein multimerization, immunological constraints and HIV-human protein interactions. We found that amino acid diversity in monomeric proteins was higher than in multimeric proteins, and diversified positions were preferably located within human CD4 T cell and antibody epitopes. Moreover, intrinsic disorder regions in HIV-1 proteins coincided with high levels of amino acid diversity, facilitating a large number of interactions between HIV-1 and human proteins. CONCLUSIONS: This first large-scale analysis provided a detailed mapping of HIV genomic diversity and highlighted drug-target regions conserved across different groups, subtypes and CRFs. Our findings suggest that, in addition to the impact of protein multimerization and immune selective pressure on HIV-1 diversity, HIV-human protein interactions are facilitated by high variability within intrinsically disordered structures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12977-015-0148-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-43589012015-03-14 An integrated map of HIV genome-wide variation from a population perspective Li, Guangdi Piampongsant, Supinya Faria, Nuno Rodrigues Voet, Arnout Pineda-Peña, Andrea-Clemencia Khouri, Ricardo Lemey, Philippe Vandamme, Anne-Mieke Theys, Kristof Retrovirology Research BACKGROUND: The HIV pandemic is characterized by extensive genetic variability, which has challenged the development of HIV drugs and vaccines. Although HIV genomes have been classified into different types, groups, subtypes and recombinants, a comprehensive study that maps HIV genome-wide diversity at the population level is still lacking to date. This study aims to characterize HIV genomic diversity in large-scale sequence populations, and to identify driving factors that shape HIV genome diversity. RESULTS: A total of 2996 full-length genomic sequences from 1705 patients infected with 16 major HIV groups, subtypes and circulating recombinant forms (CRFs) were analyzed along with structural, immunological and peptide inhibitor information. Average nucleotide diversity of HIV genomes was almost 50% between HIV-1 and HIV-2 types, 37.5% between HIV-1 groups, 14.7% between HIV-1 subtypes, 8.2% within individual HIV-1 subtypes and less than 1% within single patients. Along the HIV genome, diversity patterns and compositions of nucleotides and amino acids were highly similar across different groups, subtypes and CRFs. Current HIV-derived peptide inhibitors were predominantly derived from conserved, solvent accessible and intrinsically ordered structures in the HIV-1 subtype B genome. We identified these conserved regions in Capsid, Nucleocapsid, Protease, Integrase, Reverse transcriptase, Vpr and the GP41 N terminus as potential drug targets. In the analysis of factors that impact HIV-1 genomic diversity, we focused on protein multimerization, immunological constraints and HIV-human protein interactions. We found that amino acid diversity in monomeric proteins was higher than in multimeric proteins, and diversified positions were preferably located within human CD4 T cell and antibody epitopes. Moreover, intrinsic disorder regions in HIV-1 proteins coincided with high levels of amino acid diversity, facilitating a large number of interactions between HIV-1 and human proteins. CONCLUSIONS: This first large-scale analysis provided a detailed mapping of HIV genomic diversity and highlighted drug-target regions conserved across different groups, subtypes and CRFs. Our findings suggest that, in addition to the impact of protein multimerization and immune selective pressure on HIV-1 diversity, HIV-human protein interactions are facilitated by high variability within intrinsically disordered structures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12977-015-0148-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-15 /pmc/articles/PMC4358901/ /pubmed/25808207 http://dx.doi.org/10.1186/s12977-015-0148-6 Text en © Li et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Li, Guangdi
Piampongsant, Supinya
Faria, Nuno Rodrigues
Voet, Arnout
Pineda-Peña, Andrea-Clemencia
Khouri, Ricardo
Lemey, Philippe
Vandamme, Anne-Mieke
Theys, Kristof
An integrated map of HIV genome-wide variation from a population perspective
title An integrated map of HIV genome-wide variation from a population perspective
title_full An integrated map of HIV genome-wide variation from a population perspective
title_fullStr An integrated map of HIV genome-wide variation from a population perspective
title_full_unstemmed An integrated map of HIV genome-wide variation from a population perspective
title_short An integrated map of HIV genome-wide variation from a population perspective
title_sort integrated map of hiv genome-wide variation from a population perspective
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358901/
https://www.ncbi.nlm.nih.gov/pubmed/25808207
http://dx.doi.org/10.1186/s12977-015-0148-6
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