A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.

This paper presents a novel population genetic model and a computationally and statistically tractable framework for analyzing within-host HIV diversity based on serial samples of HIV DNA sequences. This model considers within-host HIV evolution during the chronic phase of infection and assumes that...

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Main Author: Ori Sargsyan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3917834?pdf=render
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spelling doaj-6033b8bddef14625baf24376eb068c122020-11-24T22:08:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8765510.1371/journal.pone.0087655A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.Ori SargsyanThis paper presents a novel population genetic model and a computationally and statistically tractable framework for analyzing within-host HIV diversity based on serial samples of HIV DNA sequences. This model considers within-host HIV evolution during the chronic phase of infection and assumes that the HIV population is homogeneous at the beginning, corresponding to the time of seroconversion, and evolves according to the Wright-Fisher reproduction model with recombination and variable mutation rate across nucleotide sites. In addition, the population size and generation time vary over time as piecewise constant functions of time. Under this model I approximate the genealogical and mutational processes for serial samples of DNA sequences by a continuous coalescent-recombination process and an inhomogeneous Poisson process, respectively. Based on these derivations, an efficient algorithm is described for generating polymorphisms in serial samples of DNA sequences under the model including various substitution models. Extensions of the algorithm are also described for other demographic scenarios that can be more suitable for analyzing the dynamics of genetic diversity of other pathogens in vitro and in vivo. For the case of the infinite-sites model, I derive analytical formulas for the expected number of polymorphic sites in sample of DNA sequences, and apply the developed simulation and analytical methods to explore the fit of the model to HIV genetic diversity based on serial samples of HIV DNA sequences from 9 HIV-infected individuals. The results particularly show that the estimates of the ratio of recombination rate over mutation rate can vary over time between very high and low values, which can be considered as a consequence of the impact of selection forces.http://europepmc.org/articles/PMC3917834?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ori Sargsyan
spellingShingle Ori Sargsyan
A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.
PLoS ONE
author_facet Ori Sargsyan
author_sort Ori Sargsyan
title A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.
title_short A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.
title_full A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.
title_fullStr A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.
title_full_unstemmed A framework including recombination for analyzing the dynamics of within-host HIV genetic diversity.
title_sort framework including recombination for analyzing the dynamics of within-host hiv genetic diversity.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description This paper presents a novel population genetic model and a computationally and statistically tractable framework for analyzing within-host HIV diversity based on serial samples of HIV DNA sequences. This model considers within-host HIV evolution during the chronic phase of infection and assumes that the HIV population is homogeneous at the beginning, corresponding to the time of seroconversion, and evolves according to the Wright-Fisher reproduction model with recombination and variable mutation rate across nucleotide sites. In addition, the population size and generation time vary over time as piecewise constant functions of time. Under this model I approximate the genealogical and mutational processes for serial samples of DNA sequences by a continuous coalescent-recombination process and an inhomogeneous Poisson process, respectively. Based on these derivations, an efficient algorithm is described for generating polymorphisms in serial samples of DNA sequences under the model including various substitution models. Extensions of the algorithm are also described for other demographic scenarios that can be more suitable for analyzing the dynamics of genetic diversity of other pathogens in vitro and in vivo. For the case of the infinite-sites model, I derive analytical formulas for the expected number of polymorphic sites in sample of DNA sequences, and apply the developed simulation and analytical methods to explore the fit of the model to HIV genetic diversity based on serial samples of HIV DNA sequences from 9 HIV-infected individuals. The results particularly show that the estimates of the ratio of recombination rate over mutation rate can vary over time between very high and low values, which can be considered as a consequence of the impact of selection forces.
url http://europepmc.org/articles/PMC3917834?pdf=render
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