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Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing

Approximately 36.7 million people were living with the human immunodeficiency virus (HIV) at the end of 2016 according to UNAIDS, representing a global prevalence rate of 0.8%. In Brazil, an HIV prevalence of 0.24% has been estimated, which represents approximately 830,000 individuals living with th...

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Autores principales: Alves, Brunna M., Siqueira, Juliana D., Prellwitz, Isabel M., Botelho, Ornella M., Da Hora, Vanusa P., Sanabani, Sabri, Recordon-Pinson, Patrícia, Fleury, Hervé, Soares, Esmeralda A., Soares, Marcelo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465556/
https://www.ncbi.nlm.nih.gov/pubmed/31024510
http://dx.doi.org/10.3389/fmicb.2019.00749
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author Alves, Brunna M.
Siqueira, Juliana D.
Prellwitz, Isabel M.
Botelho, Ornella M.
Da Hora, Vanusa P.
Sanabani, Sabri
Recordon-Pinson, Patrícia
Fleury, Hervé
Soares, Esmeralda A.
Soares, Marcelo A.
author_facet Alves, Brunna M.
Siqueira, Juliana D.
Prellwitz, Isabel M.
Botelho, Ornella M.
Da Hora, Vanusa P.
Sanabani, Sabri
Recordon-Pinson, Patrícia
Fleury, Hervé
Soares, Esmeralda A.
Soares, Marcelo A.
author_sort Alves, Brunna M.
collection PubMed
description Approximately 36.7 million people were living with the human immunodeficiency virus (HIV) at the end of 2016 according to UNAIDS, representing a global prevalence rate of 0.8%. In Brazil, an HIV prevalence of 0.24% has been estimated, which represents approximately 830,000 individuals living with the virus. As a touristic and commercial hub in Latin America, Brazil harbors an elevated HIV genetic variability, further contributed by the selective pressure exerted by the host immune system and by antiretroviral treatment. Through the progress of the next-generation sequencing (NGS) techniques, it has been possible to expand the study of HIV genetic diversity, evolutionary, and epidemic processes, allowing the generation of HIV complete or near full-length genomes (NFLG) and improving the characterization of intra- and interhost diversity of viral populations. Greater sensitivity in the detection of viral recombinant forms represents one of the major improvements associated with this development. It is possible to identify unique or circulating recombinant forms using the near full-length viral genomes with increasing accuracy. It also permits the characterization of multiple viral infections within individual hosts. Previous Brazilian studies using NGS to analyze HIV diversity were able to identify several distinct unique and circulating recombinant forms and evidenced dual infections. These data unveiled unprecedented high rates of viral recombination and highlighted that novel recombinants are continually arising in the Brazilian epidemic. In the pooled analysis depicted in this report, HIV subtypes have been determined from HIV-positive patients in five states of Brazil with some of the highest HIV prevalence, three in the Southeast (Rio de Janeiro, São Paulo, and Minas Gerais), one in the Northeast (Pernambuco) and one in the South (Rio Grande do Sul). Combined data analysis showed a significant prevalence of recombinant forms (29%; 101/350), and a similar 26% when only NFLGs were considered. Moreover, the analysis was able to evidence the occurrence of multiple infections in some individuals. Our data highlight the great HIV genetic diversity found in Brazil and unveils a more accurate scenario of the HIV evolutionary dynamics in the region.
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spelling pubmed-64655562019-04-25 Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing Alves, Brunna M. Siqueira, Juliana D. Prellwitz, Isabel M. Botelho, Ornella M. Da Hora, Vanusa P. Sanabani, Sabri Recordon-Pinson, Patrícia Fleury, Hervé Soares, Esmeralda A. Soares, Marcelo A. Front Microbiol Microbiology Approximately 36.7 million people were living with the human immunodeficiency virus (HIV) at the end of 2016 according to UNAIDS, representing a global prevalence rate of 0.8%. In Brazil, an HIV prevalence of 0.24% has been estimated, which represents approximately 830,000 individuals living with the virus. As a touristic and commercial hub in Latin America, Brazil harbors an elevated HIV genetic variability, further contributed by the selective pressure exerted by the host immune system and by antiretroviral treatment. Through the progress of the next-generation sequencing (NGS) techniques, it has been possible to expand the study of HIV genetic diversity, evolutionary, and epidemic processes, allowing the generation of HIV complete or near full-length genomes (NFLG) and improving the characterization of intra- and interhost diversity of viral populations. Greater sensitivity in the detection of viral recombinant forms represents one of the major improvements associated with this development. It is possible to identify unique or circulating recombinant forms using the near full-length viral genomes with increasing accuracy. It also permits the characterization of multiple viral infections within individual hosts. Previous Brazilian studies using NGS to analyze HIV diversity were able to identify several distinct unique and circulating recombinant forms and evidenced dual infections. These data unveiled unprecedented high rates of viral recombination and highlighted that novel recombinants are continually arising in the Brazilian epidemic. In the pooled analysis depicted in this report, HIV subtypes have been determined from HIV-positive patients in five states of Brazil with some of the highest HIV prevalence, three in the Southeast (Rio de Janeiro, São Paulo, and Minas Gerais), one in the Northeast (Pernambuco) and one in the South (Rio Grande do Sul). Combined data analysis showed a significant prevalence of recombinant forms (29%; 101/350), and a similar 26% when only NFLGs were considered. Moreover, the analysis was able to evidence the occurrence of multiple infections in some individuals. Our data highlight the great HIV genetic diversity found in Brazil and unveils a more accurate scenario of the HIV evolutionary dynamics in the region. Frontiers Media S.A. 2019-04-09 /pmc/articles/PMC6465556/ /pubmed/31024510 http://dx.doi.org/10.3389/fmicb.2019.00749 Text en Copyright © 2019 Alves, Siqueira, Prellwitz, Botelho, Da Hora, Sanabani, Recordon-Pinson, Fleury, Soares and Soares. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Alves, Brunna M.
Siqueira, Juliana D.
Prellwitz, Isabel M.
Botelho, Ornella M.
Da Hora, Vanusa P.
Sanabani, Sabri
Recordon-Pinson, Patrícia
Fleury, Hervé
Soares, Esmeralda A.
Soares, Marcelo A.
Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing
title Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing
title_full Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing
title_fullStr Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing
title_full_unstemmed Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing
title_short Estimating HIV-1 Genetic Diversity in Brazil Through Next-Generation Sequencing
title_sort estimating hiv-1 genetic diversity in brazil through next-generation sequencing
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465556/
https://www.ncbi.nlm.nih.gov/pubmed/31024510
http://dx.doi.org/10.3389/fmicb.2019.00749
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