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The substitution rate of HIV-1 subtypes: a genomic approach

HIV-1M causes most infections in the AIDS pandemic. Its genetic diversity is defined by nine pure subtypes and more than sixty recombinant forms. We have performed a comparative analysis of the evolutionary rate of five pure subtypes (A1, B, C, D, and G) and two circulating recombinant forms (CRF01_...

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Autores principales: Patiño-Galindo, Juan Ángel, González-Candelas, Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007745/
https://www.ncbi.nlm.nih.gov/pubmed/29942652
http://dx.doi.org/10.1093/ve/vex029
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author Patiño-Galindo, Juan Ángel
González-Candelas, Fernando
author_facet Patiño-Galindo, Juan Ángel
González-Candelas, Fernando
author_sort Patiño-Galindo, Juan Ángel
collection PubMed
description HIV-1M causes most infections in the AIDS pandemic. Its genetic diversity is defined by nine pure subtypes and more than sixty recombinant forms. We have performed a comparative analysis of the evolutionary rate of five pure subtypes (A1, B, C, D, and G) and two circulating recombinant forms (CRF01_AE and CRF02 AG) using data obtained from nearly complete genome coding sequences. Times to the most recent common ancestor (tMRCA) and substitution rates of these HIV genomes, and their genomic partitions, were estimated by Bayesian coalescent analyses. Genomic substitution rate estimates were compared between the HIV-1 datasets analyzed by means of randomization tests. Significant differences in the rate of evolution were found between subtypes, with subtypes C and A1 and CRF01_AE displaying the highest rates. On the other hand, CRF02_AG and subtype D were the slowest evolving types. Using a different molecular clock model for each genomic partition led to more precise tMRCA estimates than when linking the same clock along the HIV genome. Overall, the earliest tMRCA corresponded to subtype A1 (median = 1941, 95% HPD = 1943–55), whereas the most recent tMRCA corresponded to subtype G and CRF01_AE subset 3 (median = 1971, 95% HPD = 1967–75 and median = 1972, 95% HPD = 1970–75, respectively). These results suggest that both biological and epidemiological differences among HIV-1M subtypes are reflected in their evolutionary dynamics. The estimates obtained for tMRCAs and substitution rates provide information that can be used as prior distributions in future Bayesian coalescent analyses of specific HIV-1 subtypes/CRFs and genes.
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spelling pubmed-60077452018-06-25 The substitution rate of HIV-1 subtypes: a genomic approach Patiño-Galindo, Juan Ángel González-Candelas, Fernando Virus Evol Research Article HIV-1M causes most infections in the AIDS pandemic. Its genetic diversity is defined by nine pure subtypes and more than sixty recombinant forms. We have performed a comparative analysis of the evolutionary rate of five pure subtypes (A1, B, C, D, and G) and two circulating recombinant forms (CRF01_AE and CRF02 AG) using data obtained from nearly complete genome coding sequences. Times to the most recent common ancestor (tMRCA) and substitution rates of these HIV genomes, and their genomic partitions, were estimated by Bayesian coalescent analyses. Genomic substitution rate estimates were compared between the HIV-1 datasets analyzed by means of randomization tests. Significant differences in the rate of evolution were found between subtypes, with subtypes C and A1 and CRF01_AE displaying the highest rates. On the other hand, CRF02_AG and subtype D were the slowest evolving types. Using a different molecular clock model for each genomic partition led to more precise tMRCA estimates than when linking the same clock along the HIV genome. Overall, the earliest tMRCA corresponded to subtype A1 (median = 1941, 95% HPD = 1943–55), whereas the most recent tMRCA corresponded to subtype G and CRF01_AE subset 3 (median = 1971, 95% HPD = 1967–75 and median = 1972, 95% HPD = 1970–75, respectively). These results suggest that both biological and epidemiological differences among HIV-1M subtypes are reflected in their evolutionary dynamics. The estimates obtained for tMRCAs and substitution rates provide information that can be used as prior distributions in future Bayesian coalescent analyses of specific HIV-1 subtypes/CRFs and genes. Oxford University Press 2017-10-20 /pmc/articles/PMC6007745/ /pubmed/29942652 http://dx.doi.org/10.1093/ve/vex029 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Patiño-Galindo, Juan Ángel
González-Candelas, Fernando
The substitution rate of HIV-1 subtypes: a genomic approach
title The substitution rate of HIV-1 subtypes: a genomic approach
title_full The substitution rate of HIV-1 subtypes: a genomic approach
title_fullStr The substitution rate of HIV-1 subtypes: a genomic approach
title_full_unstemmed The substitution rate of HIV-1 subtypes: a genomic approach
title_short The substitution rate of HIV-1 subtypes: a genomic approach
title_sort substitution rate of hiv-1 subtypes: a genomic approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6007745/
https://www.ncbi.nlm.nih.gov/pubmed/29942652
http://dx.doi.org/10.1093/ve/vex029
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