Literature DB >> 12777505

Adaptation in the env gene of HIV-1 and evolutionary theories of disease progression.

Scott Williamson1.   

Abstract

The exact mechanisms by which HIV overwhelms the immune system remain poorly understood. Among the several explanations of HIV disease progression, most include adaptation of the viral genome to the host environment as a causal factor. Therefore, quantifying the rate and pattern of adaptive evolution within infected patients is critical to understanding the development of AIDS. Using sequence data from infected individuals sampled at multiple time points, I estimate the within-host adaptation rate of the HIV-1 env gene for viral populations from 50 different patients. I find that, averaging across patients, one adaptive substitution occurs every 3.3 months. Also, one adaptive mutation is driven to a high frequency (>50% but <100%) every 2.5 months. Taken together, such adaptive events occur once every 25 viral generations, which is the fastest adaptation rate ever recorded for a single protein-coding gene. Within the entire env gene, I estimate that a majority ( approximately 55%) of both nonsynonymous substitutions and high-frequency polymorphisms are adaptive. Further, in the C2-V5 region of env, I find that patients with longer asymptomatic periods have virus populations with higher adaptation rates, corroborating the notion that a broad, strong immune response against epitopes in the env gene product leads to longer asymptomatic periods. I conclude by discussing the distribution of nonsynonymous changes over the env gene.

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Year:  2003        PMID: 12777505     DOI: 10.1093/molbev/msg144

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  64 in total

1.  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

2.  Impact of CCR5delta32 host genetic background and disease progression on HIV-1 intrahost evolutionary processes: efficient hypothesis testing through hierarchical phylogenetic models.

Authors:  Diana Edo-Matas; Philippe Lemey; Jennifer A Tom; Cèlia Serna-Bolea; Agnes E van den Blink; Angélique B van 't Wout; Hanneke Schuitemaker; Marc A Suchard
Journal:  Mol Biol Evol       Date:  2010-12-06       Impact factor: 16.240

3.  Viral sequence analysis from HIV-infected mothers and infants: molecular evolution, diversity, and risk factors for mother-to-child transmission.

Authors:  Philip L Bulterys; Sudeb C Dalai; David A Katzenstein
Journal:  Clin Perinatol       Date:  2010-12       Impact factor: 3.430

4.  A composite-likelihood approach for detecting directional selection from DNA sequence data.

Authors:  Lan Zhu; Carlos D Bustamante
Journal:  Genetics       Date:  2005-05-06       Impact factor: 4.562

5.  MinPD: distance-based phylogenetic analysis and recombination detection of serially-sampled HIV quasispecies.

Authors:  Patricia Buendia; Giri Narasimhan
Journal:  Proc IEEE Comput Syst Bioinform Conf       Date:  2004

6.  The other side of the nearly neutral theory, evidence of slightly advantageous back-mutations.

Authors:  Jane Charlesworth; Adam Eyre-Walker
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-16       Impact factor: 11.205

7.  The dynamics of HIV-1 adaptation in early infection.

Authors:  Jack da Silva
Journal:  Genetics       Date:  2011-12-29       Impact factor: 4.562

8.  The evolutionary dynamics of influenza A virus adaptation to mammalian hosts.

Authors:  S Bhatt; T T Lam; S J Lycett; A J Leigh Brown; T A Bowden; E C Holmes; Y Guan; J L N Wood; I H Brown; P Kellam; O G Pybus
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

9.  Estimating selection pressures on HIV-1 using phylogenetic likelihood models.

Authors:  S L Kosakovsky Pond; A F Y Poon; S Zárate; D M Smith; S J Little; S K Pillai; R J Ellis; J K Wong; A J Leigh Brown; D D Richman; S D W Frost
Journal:  Stat Med       Date:  2008-10-15       Impact factor: 2.373

10.  A comparative study of HIV-1 clade C env evolution in a Zambian infant with an infected rhesus macaque during disease progression.

Authors:  For Yue Tso; Federico G Hoffmann; Damien C Tully; Philippe Lemey; Robert A Rasmussen; Hong Zhang; Ruth M Ruprecht; Charles Wood
Journal:  AIDS       Date:  2009-09-10       Impact factor: 4.177

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