Literature DB >> 15744057

Evolution of human immunodeficiency virus under selection and weak recombination.

I M Rouzine1, J M Coffin.   

Abstract

To predict emergence of drug resistance in patients undergoing antiretroviral therapy, we study accumulation of preexisting beneficial alleles in a haploid population of N genomes. The factors included in the model are selection with the coefficient s and recombination with the small rate per genome r (r << s sqrt of k, where k is the average number of less-fit loci per genome). Mutation events are neglected. To describe evolution at a large number of linked loci, we generalize the analytic method we developed recently for an asexual population. We show that the distribution of genomes over the deleterious allele number moves in time as a "solitary wave" that is quasi-deterministic in the middle (on the average) but has stochastic edges. We arrive at a single-locus expression for the average accumulation rate, in which the effects of linkage, recombination, and random drift are all accounted for by the effective selection coefficient s lnNr/lnNs(2)k/r. At large N, the effective selection coefficient approaches the single-locus value s. Below the critical size N(c) approximately 1/r, a population eventually becomes a clone, recombination cannot produce new sequences, and virus evolution stops. Taking into account finite mutation rate predicts a small, finite rate of evolution at N < N(c). We verify the accuracy of the results analytically and by Monte Carlo simulation. On the basis of our findings, we predict that partial depletion of the HIV population by combined anti-retroviral therapy can suppress emergence of drug-resistant strains.

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Year:  2005        PMID: 15744057      PMCID: PMC1449738          DOI: 10.1534/genetics.104.029926

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  14 in total

1.  Linkage disequilibrium test implies a large effective population number for HIV in vivo.

Authors:  I M Rouzine; J M Coffin
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

Review 2.  Transition between stochastic evolution and deterministic evolution in the presence of selection: general theory and application to virology.

Authors:  I M Rouzine; A Rodrigo; J M Coffin
Journal:  Microbiol Mol Biol Rev       Date:  2001-03       Impact factor: 11.056

3.  The solitary wave of asexual evolution.

Authors:  Igor M Rouzine; John Wakeley; John M Coffin
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-13       Impact factor: 11.205

4.  Recombination: Multiply infected spleen cells in HIV patients.

Authors:  Andreas Jung; Reinhard Maier; Jean-Pierre Vartanian; Gennady Bocharov; Volker Jung; Ulrike Fischer; Eckart Meese; Simon Wain-Hobson; Andreas Meyerhans
Journal:  Nature       Date:  2002-07-11       Impact factor: 49.962

Review 5.  Why sex and recombination?

Authors:  N H Barton; B Charlesworth
Journal:  Science       Date:  1998-09-25       Impact factor: 47.728

6.  The evolutionary advantage of recombination.

Authors:  J Felsenstein
Journal:  Genetics       Date:  1974-10       Impact factor: 4.562

7.  The effect of linkage on limits to artificial selection.

Authors:  W G Hill; A Robertson
Journal:  Genet Res       Date:  1966-12       Impact factor: 1.588

8.  Search for the mechanism of genetic variation in the pro gene of human immunodeficiency virus.

Authors:  I M Rouzine; J M Coffin
Journal:  J Virol       Date:  1999-10       Impact factor: 5.103

9.  Evolution of lamivudine resistance in human immunodeficiency virus type 1-infected individuals: the relative roles of drift and selection.

Authors:  S D Frost; M Nijhuis; R Schuurman; C A Boucher; A J Brown
Journal:  J Virol       Date:  2000-07       Impact factor: 5.103

10.  A general model for the evolution of recombination.

Authors:  N H Barton
Journal:  Genet Res       Date:  1995-04       Impact factor: 1.588

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  39 in total

1.  Distribution of fixed beneficial mutations and the rate of adaptation in asexual populations.

Authors:  Benjamin H Good; Igor M Rouzine; Daniel J Balick; Oskar Hallatschek; Michael M Desai
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

2.  Analysis of selection pressure and mutational pattern of HIV type 1 reverse transcriptase region among treated and nontreated patients.

Authors:  Uma Shanmugasundaram; Suniti Solomon; Vidya Madhavan; Murugavel G Kailapuri; Kumarasamy Nagalingeswaran; Sunil Suhas Solomon; Kenneth H Mayer; Balakrishnan Pachamuthu
Journal:  AIDS Res Hum Retroviruses       Date:  2010-09-19       Impact factor: 2.205

3.  Highly fit ancestors of a partly sexual haploid population.

Authors:  I M Rouzine; J M Coffin
Journal:  Theor Popul Biol       Date:  2006-09-28       Impact factor: 1.570

4.  Recombination favors the evolution of drug resistance in HIV-1 during antiretroviral therapy.

Authors:  Antonio Carvajal-Rodríguez; Keith A Crandall; David Posada
Journal:  Infect Genet Evol       Date:  2007-02-12       Impact factor: 3.342

5.  Frequent polymorphism at drug resistance sites in HIV-1 protease and reverse transcriptase.

Authors:  Mary Kearney; Sarah Palmer; Frank Maldarelli; Wei Shao; Michael A Polis; JoAnn Mican; Diane Rock-Kress; Joseph B Margolick; John M Coffin; John W Mellors
Journal:  AIDS       Date:  2008-02-19       Impact factor: 4.177

6.  Competition between recombination and epistasis can cause a transition from allele to genotype selection.

Authors:  Richard A Neher; Boris I Shraiman
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-06       Impact factor: 11.205

7.  Rate of adaptation in large sexual populations.

Authors:  R A Neher; B I Shraiman; D S Fisher
Journal:  Genetics       Date:  2009-11-30       Impact factor: 4.562

8.  Majority of CD4+ T cells from peripheral blood of HIV-1-infected individuals contain only one HIV DNA molecule.

Authors:  Lina Josefsson; Martin S King; Barbro Makitalo; Johan Brännström; Wei Shao; Frank Maldarelli; Mary F Kearney; Wei-Shau Hu; Jianbo Chen; Hans Gaines; John W Mellors; Jan Albert; John M Coffin; Sarah E Palmer
Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-20       Impact factor: 11.205

9.  Genetic draft and quasi-neutrality in large facultatively sexual populations.

Authors:  R A Neher; B I Shraiman
Journal:  Genetics       Date:  2011-05-30       Impact factor: 4.562

10.  Rapid adaptive amplification of preexisting variation in an RNA virus.

Authors:  Ranendra N Dutta; Igor M Rouzine; Sarah D Smith; Claus O Wilke; Isabel S Novella
Journal:  J Virol       Date:  2008-02-20       Impact factor: 5.103

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