Literature DB >> 18474563

Recombination increases human immunodeficiency virus fitness, but not necessarily diversity.

N N V Vijay1, Rahul Ajmani2, Alan S Perelson2, Narendra M Dixit1.   

Abstract

Recombination can facilitate the accumulation of mutations and accelerate the emergence of resistance to current antiretroviral therapies for human immunodeficiency virus (HIV) infection. Yet, since recombination can also dissociate favourable combinations of mutations, the benefit of recombination to HIV remains in question. The confounding effects of mutation, multiple infections of cells, random genetic drift and fitness selection that underlie HIV evolution render the influence of recombination difficult to unravel. We developed computer simulations that mimic the genomic diversification of HIV within an infected individual and elucidate the influence of recombination. We find, interestingly, that when the effective population size of HIV is small, recombination increases both the diversity and the mean fitness of the viral population. When the effective population size is large, recombination increases viral fitness but decreases diversity. In effect, recombination enhances (lowers) the likelihood of the existence of multi-drug resistant strains of HIV in infected individuals prior to the onset of therapy when the effective population size is small (large). Our simulations are consistent with several recent experimental observations, including the evolution of HIV diversity and divergence in vivo. The intriguing dependencies on the effective population size appear due to the subtle interplay of drift, selection and epistasis, which we discuss in the light of modern population genetics theories. Current estimates of the effective population size of HIV have large discrepancies. Our simulations present an avenue for accurate determination of the effective population size of HIV in vivo and facilitate establishment of the benefit of recombination to HIV.

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Year:  2008        PMID: 18474563     DOI: 10.1099/vir.0.83668-0

Source DB:  PubMed          Journal:  J Gen Virol        ISSN: 0022-1317            Impact factor:   3.891


  24 in total

1.  Most HIV type 1 non-B infections in the Spanish cohort of antiretroviral treatment-naïve HIV-infected patients (CoRIS) are due to recombinant viruses.

Authors:  Gonzalo Yebra; Miguel de Mulder; Leticia Martín; Carmen Rodríguez; Pablo Labarga; Isabel Viciana; Juan Berenguer; María Remedios Alemán; Juan Antonio Pineda; Federico García; Africa Holguín
Journal:  J Clin Microbiol       Date:  2011-12-07       Impact factor: 5.948

2.  Effect of different modes of viral spread on the dynamics of multiply infected cells in human immunodeficiency virus infection.

Authors:  Dominik Wodarz; David N Levy
Journal:  J R Soc Interface       Date:  2010-07-21       Impact factor: 4.118

3.  Identifying recombination hot spots in the HIV-1 genome.

Authors:  Redmond P Smyth; Timothy E Schlub; Andrew J Grimm; Caryll Waugh; Paula Ellenberg; Abha Chopra; Simon Mallal; Deborah Cromer; Johnson Mak; Miles P Davenport
Journal:  J Virol       Date:  2013-12-26       Impact factor: 5.103

4.  Latent HIV-1 can be reactivated by cellular superinfection in a Tat-dependent manner, which can lead to the emergence of multidrug-resistant recombinant viruses.

Authors:  Daniel A Donahue; Sophie M Bastarache; Richard D Sloan; Mark A Wainberg
Journal:  J Virol       Date:  2013-06-26       Impact factor: 5.103

Review 5.  Theoretical aspects of immunity.

Authors:  Michael W Deem; Pooya Hejazi
Journal:  Annu Rev Chem Biomol Eng       Date:  2010       Impact factor: 11.059

6.  Antiretroviral tissue kinetics: in vivo imaging using positron emission tomography.

Authors:  Michele Di Mascio; Sharat Srinivasula; Abesh Bhattacharjee; Lily Cheng; Lucia Martiniova; Peter Herscovitch; Juan Lertora; Dale Kiesewetter
Journal:  Antimicrob Agents Chemother       Date:  2009-08-10       Impact factor: 5.191

7.  Estimating frequencies of minority nevirapine-resistant strains in chronically HIV-1-infected individuals naive to nevirapine by using stochastic simulations and a mathematical model.

Authors:  Saikrishna Gadhamsetty; Narendra M Dixit
Journal:  J Virol       Date:  2010-07-28       Impact factor: 5.103

8.  The role of recombination in the emergence of a complex and dynamic HIV epidemic.

Authors:  Ming Zhang; Brian Foley; Anne-Kathrin Schultz; Jennifer P Macke; Ingo Bulla; Mario Stanke; Burkhard Morgenstern; Bette Korber; Thomas Leitner
Journal:  Retrovirology       Date:  2010-03-23       Impact factor: 4.602

9.  Modeling sequence evolution in HIV-1 infection with recombination.

Authors:  Elena E Giorgi; Bette T Korber; Alan S Perelson; Tanmoy Bhattacharya
Journal:  J Theor Biol       Date:  2013-04-06       Impact factor: 2.691

10.  In vitro dynamics of HIV-1 BF intersubtype recombinants genomic regions involved in the regulation of gene expression.

Authors:  Mauricio G Carobene; Christian Rodríguez Rodrígues; Cristian A De Candia; Gabriela Turk; Horacio Salomón
Journal:  Virol J       Date:  2009-07-16       Impact factor: 4.099

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