Cargando…
The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America
The South American human immunodeficiency virus type 1 (HIV-1) epidemic is driven by several subtypes (B, C, and F1) and circulating and unique recombinant forms derived from those subtypes. Those variants are heterogeneously distributed around the continent in a country-specific manner. Despite som...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226295/ https://www.ncbi.nlm.nih.gov/pubmed/22162803 http://dx.doi.org/10.1155/2011/154945 |
_version_ | 1782217596275261440 |
---|---|
author | Bello, Gonzalo Soares, Marcelo A. Schrago, Carlos G. |
author_facet | Bello, Gonzalo Soares, Marcelo A. Schrago, Carlos G. |
author_sort | Bello, Gonzalo |
collection | PubMed |
description | The South American human immunodeficiency virus type 1 (HIV-1) epidemic is driven by several subtypes (B, C, and F1) and circulating and unique recombinant forms derived from those subtypes. Those variants are heterogeneously distributed around the continent in a country-specific manner. Despite some inconsistencies mainly derived from sampling biases and analytical constrains, most of studies carried out in the area agreed in pointing out specificities in the evolutionary dynamics of the circulating HIV-1 lineages. In this paper, we covered the theoretical basis, and the application of bioinformatics methods to reconstruct the HIV spatial-temporal dynamics, unveiling relevant information to understand the origin, geographical dissemination and the current molecular scenario of the HIV epidemic in the continent, particularly in the countries of Southern Cone. |
format | Online Article Text |
id | pubmed-3226295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32262952011-12-08 The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America Bello, Gonzalo Soares, Marcelo A. Schrago, Carlos G. AIDS Res Treat Review Article The South American human immunodeficiency virus type 1 (HIV-1) epidemic is driven by several subtypes (B, C, and F1) and circulating and unique recombinant forms derived from those subtypes. Those variants are heterogeneously distributed around the continent in a country-specific manner. Despite some inconsistencies mainly derived from sampling biases and analytical constrains, most of studies carried out in the area agreed in pointing out specificities in the evolutionary dynamics of the circulating HIV-1 lineages. In this paper, we covered the theoretical basis, and the application of bioinformatics methods to reconstruct the HIV spatial-temporal dynamics, unveiling relevant information to understand the origin, geographical dissemination and the current molecular scenario of the HIV epidemic in the continent, particularly in the countries of Southern Cone. Hindawi Publishing Corporation 2011 2011-11-15 /pmc/articles/PMC3226295/ /pubmed/22162803 http://dx.doi.org/10.1155/2011/154945 Text en Copyright © 2011 Gonzalo Bello et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Bello, Gonzalo Soares, Marcelo A. Schrago, Carlos G. The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America |
title | The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America |
title_full | The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America |
title_fullStr | The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America |
title_full_unstemmed | The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America |
title_short | The Use of Bioinformatics for Studying HIV Evolutionary and Epidemiological History in South America |
title_sort | use of bioinformatics for studying hiv evolutionary and epidemiological history in south america |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226295/ https://www.ncbi.nlm.nih.gov/pubmed/22162803 http://dx.doi.org/10.1155/2011/154945 |
work_keys_str_mv | AT bellogonzalo theuseofbioinformaticsforstudyinghivevolutionaryandepidemiologicalhistoryinsouthamerica AT soaresmarceloa theuseofbioinformaticsforstudyinghivevolutionaryandepidemiologicalhistoryinsouthamerica AT schragocarlosg theuseofbioinformaticsforstudyinghivevolutionaryandepidemiologicalhistoryinsouthamerica AT bellogonzalo useofbioinformaticsforstudyinghivevolutionaryandepidemiologicalhistoryinsouthamerica AT soaresmarceloa useofbioinformaticsforstudyinghivevolutionaryandepidemiologicalhistoryinsouthamerica AT schragocarlosg useofbioinformaticsforstudyinghivevolutionaryandepidemiologicalhistoryinsouthamerica |