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Identifying the Important HIV-1 Recombination Breakpoints

Recombinant HIV-1 genomes contribute significantly to the diversity of variants within the HIV/AIDS pandemic. It is assumed that some of these mosaic genomes may have novel properties that have led to their prevalence, particularly in the case of the circulating recombinant forms (CRFs). In regions...

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Autores principales: Archer, John, Pinney, John W., Fan, Jun, Simon-Loriere, Etienne, Arts, Eric J., Negroni, Matteo, Robertson, David L.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2522274/
https://www.ncbi.nlm.nih.gov/pubmed/18787691
http://dx.doi.org/10.1371/journal.pcbi.1000178
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author Archer, John
Pinney, John W.
Fan, Jun
Simon-Loriere, Etienne
Arts, Eric J.
Negroni, Matteo
Robertson, David L.
author_facet Archer, John
Pinney, John W.
Fan, Jun
Simon-Loriere, Etienne
Arts, Eric J.
Negroni, Matteo
Robertson, David L.
author_sort Archer, John
collection PubMed
description Recombinant HIV-1 genomes contribute significantly to the diversity of variants within the HIV/AIDS pandemic. It is assumed that some of these mosaic genomes may have novel properties that have led to their prevalence, particularly in the case of the circulating recombinant forms (CRFs). In regions of the HIV-1 genome where recombination has a tendency to convey a selective advantage to the virus, we predict that the distribution of breakpoints—the identifiable boundaries that delimit the mosaic structure—will deviate from the underlying null distribution. To test this hypothesis, we generate a probabilistic model of HIV-1 copy-choice recombination and compare the predicted breakpoint distribution to the distribution from the HIV/AIDS pandemic. Across much of the HIV-1 genome, we find that the observed frequencies of inter-subtype recombination are predicted accurately by our model. This observation strongly indicates that in these regions a probabilistic model, dependent on local sequence identity, is sufficient to explain breakpoint locations. In regions where there is a significant over- (either side of the env gene) or under- (short regions within gag, pol, and most of env) representation of breakpoints, we infer natural selection to be influencing the recombination pattern. The paucity of recombination breakpoints within most of the envelope gene indicates that recombinants generated in this region are less likely to be successful. The breakpoints at a higher frequency than predicted by our model are approximately at either side of env, indicating increased selection for these recombinants as a consequence of this region, or at least part of it, having a tendency to be recombined as an entire unit. Our findings thus provide the first clear indication of the existence of a specific portion of the genome that deviates from a probabilistic null model for recombination. This suggests that, despite the wide diversity of recombinant forms seen in the viral population, only a minority of recombination events appear to be of significance to the evolution of HIV-1.
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spelling pubmed-25222742008-09-12 Identifying the Important HIV-1 Recombination Breakpoints Archer, John Pinney, John W. Fan, Jun Simon-Loriere, Etienne Arts, Eric J. Negroni, Matteo Robertson, David L. PLoS Comput Biol Research Article Recombinant HIV-1 genomes contribute significantly to the diversity of variants within the HIV/AIDS pandemic. It is assumed that some of these mosaic genomes may have novel properties that have led to their prevalence, particularly in the case of the circulating recombinant forms (CRFs). In regions of the HIV-1 genome where recombination has a tendency to convey a selective advantage to the virus, we predict that the distribution of breakpoints—the identifiable boundaries that delimit the mosaic structure—will deviate from the underlying null distribution. To test this hypothesis, we generate a probabilistic model of HIV-1 copy-choice recombination and compare the predicted breakpoint distribution to the distribution from the HIV/AIDS pandemic. Across much of the HIV-1 genome, we find that the observed frequencies of inter-subtype recombination are predicted accurately by our model. This observation strongly indicates that in these regions a probabilistic model, dependent on local sequence identity, is sufficient to explain breakpoint locations. In regions where there is a significant over- (either side of the env gene) or under- (short regions within gag, pol, and most of env) representation of breakpoints, we infer natural selection to be influencing the recombination pattern. The paucity of recombination breakpoints within most of the envelope gene indicates that recombinants generated in this region are less likely to be successful. The breakpoints at a higher frequency than predicted by our model are approximately at either side of env, indicating increased selection for these recombinants as a consequence of this region, or at least part of it, having a tendency to be recombined as an entire unit. Our findings thus provide the first clear indication of the existence of a specific portion of the genome that deviates from a probabilistic null model for recombination. This suggests that, despite the wide diversity of recombinant forms seen in the viral population, only a minority of recombination events appear to be of significance to the evolution of HIV-1. Public Library of Science 2008-09-12 /pmc/articles/PMC2522274/ /pubmed/18787691 http://dx.doi.org/10.1371/journal.pcbi.1000178 Text en Archer et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Archer, John
Pinney, John W.
Fan, Jun
Simon-Loriere, Etienne
Arts, Eric J.
Negroni, Matteo
Robertson, David L.
Identifying the Important HIV-1 Recombination Breakpoints
title Identifying the Important HIV-1 Recombination Breakpoints
title_full Identifying the Important HIV-1 Recombination Breakpoints
title_fullStr Identifying the Important HIV-1 Recombination Breakpoints
title_full_unstemmed Identifying the Important HIV-1 Recombination Breakpoints
title_short Identifying the Important HIV-1 Recombination Breakpoints
title_sort identifying the important hiv-1 recombination breakpoints
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2522274/
https://www.ncbi.nlm.nih.gov/pubmed/18787691
http://dx.doi.org/10.1371/journal.pcbi.1000178
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