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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Veröffentlicht in:PLoS computational biology 2008-09, Vol.4 (9), p.e1000178-e1000178
Hauptverfasser: Archer, John, Pinney, John W, Fan, Jun, Simon-Loriere, Etienne, Arts, Eric J, Negroni, Matteo, Robertson, David L
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container_issue 9
container_start_page e1000178
container_title PLoS computational biology
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creator Archer, John
Pinney, John W
Fan, Jun
Simon-Loriere, Etienne
Arts, Eric J
Negroni, Matteo
Robertson, David L
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.
doi_str_mv 10.1371/journal.pcbi.1000178
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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. 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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. 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subjects Acquired immune deficiency syndrome
AIDS
Biochemistry, Molecular Biology
Cellular Biology
Computational Biology
Computational Biology/Genomics
Evolution, Molecular
Genes, env
Genetic Variation
Genome, Viral
Genomes
HIV Infections
HIV Infections - virology
HIV-1
HIV-1 - genetics
Human immunodeficiency virus 1
Humans
Hypotheses
Life Sciences
Models, Genetic
Models, Statistical
Pandemics
Phylogenetics
Recombination, Genetic
RNA, Viral
RNA, Viral - genetics
Studies
Virology
Virology/Immunodeficiency Viruses
Virology/Virus Evolution and Symbiosis
Viruses
title Identifying the important HIV-1 recombination breakpoints
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