Literature DB >> 18381707

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

S L Kosakovsky Pond1, 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.   

Abstract

Human immunodeficiency virus (HIV-1) can rapidly evolve due to selection pressures exerted by HIV-specific immune responses, antiviral agents, and to allow the virus to establish infection in different compartments in the body. Statistical models applied to HIV-1 sequence data can help to elucidate the nature of these selection pressures through comparisons of non-synonymous (or amino acid changing) and synonymous (or amino acid preserving) substitution rates. These models also need to take into account the non-independence of sequences due to their shared evolutionary history. We review how we have developed these methods and have applied them to characterize the evolution of HIV-1 in vivo. To illustrate our methods, we present an analysis of compartment-specific evolution of HIV-1 env in blood and cerebrospinal fluid and of site-to-site variation in the gag gene of subtype C HIV-1.

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Year:  2008        PMID: 18381707      PMCID: PMC2634745          DOI: 10.1002/sim.3192

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  45 in total

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Authors:  John P Huelsenbeck; Sonia Jain; Simon W D Frost; Sergei L Kosakovsky Pond
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-10       Impact factor: 11.205

3.  Likelihood models for detecting positively selected amino acid sites and applications to the HIV-1 envelope gene.

Authors:  R Nielsen; Z Yang
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

4.  A regression modeling approach for describing patterns of HIV genetic variation.

Authors:  N Mayer-Hamblett; S Self
Journal:  Biometrics       Date:  2001-06       Impact factor: 2.571

5.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

6.  Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differ over sites.

Authors:  Z Yang
Journal:  Mol Biol Evol       Date:  1993-11       Impact factor: 16.240

7.  A likelihood approach for comparing synonymous and nonsynonymous nucleotide substitution rates, with application to the chloroplast genome.

Authors:  S V Muse; B S Gaut
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

8.  A codon-based model of nucleotide substitution for protein-coding DNA sequences.

Authors:  N Goldman; Z Yang
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

9.  Adaptive protein evolution in Drosophila.

Authors:  Nick G C Smith; Adam Eyre-Walker
Journal:  Nature       Date:  2002-02-28       Impact factor: 49.962

10.  Lower in vivo mutation rate of human immunodeficiency virus type 1 than that predicted from the fidelity of purified reverse transcriptase.

Authors:  L M Mansky; H M Temin
Journal:  J Virol       Date:  1995-08       Impact factor: 5.103

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  12 in total

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Authors:  Bette T Korber; Norman L Letvin; Barton F Haynes
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2.  Coalescent simulation of intracodon recombination.

Authors:  Miguel Arenas; David Posada
Journal:  Genetics       Date:  2009-11-23       Impact factor: 4.562

3.  Evidence for adaptive evolution at the divergence between lymphoid and brain HIV-1 nef genes.

Authors:  Kevin C Olivieri; Kristin A Agopian; Joya Mukerji; Dana Gabuzda
Journal:  AIDS Res Hum Retroviruses       Date:  2010-04       Impact factor: 2.205

4.  Bioinformatic analysis of neurotropic HIV envelope sequences identifies polymorphisms in the gp120 bridging sheet that increase macrophage-tropism through enhanced interactions with CCR5.

Authors:  Megan E Mefford; Kevin Kunstman; Steven M Wolinsky; Dana Gabuzda
Journal:  Virology       Date:  2015-03-20       Impact factor: 3.616

5.  Protein evolution along phylogenetic histories under structurally constrained substitution models.

Authors:  Miguel Arenas; Helena G Dos Santos; David Posada; Ugo Bastolla
Journal:  Bioinformatics       Date:  2013-09-12       Impact factor: 6.937

6.  A machine learning approach for identifying amino acid signatures in the HIV env gene predictive of dementia.

Authors:  Alexander G Holman; Dana Gabuzda
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

Review 7.  The evolution of HIV: inferences using phylogenetics.

Authors:  Eduardo Castro-Nallar; Marcos Pérez-Losada; Gregory F Burton; Keith A Crandall
Journal:  Mol Phylogenet Evol       Date:  2011-11-27       Impact factor: 4.286

Review 8.  Viral determinants of HIV-1 macrophage tropism.

Authors:  Christopher J A Duncan; Quentin J Sattentau
Journal:  Viruses       Date:  2011-11-15       Impact factor: 5.048

9.  Assigning and visualizing germline genes in antibody repertoires.

Authors:  Simon D W Frost; Ben Murrell; A S Md Mukarram Hossain; Gregg J Silverman; Sergei L Kosakovsky Pond
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-05       Impact factor: 6.237

10.  HIV evolution in early infection: selection pressures, patterns of insertion and deletion, and the impact of APOBEC.

Authors:  Natasha Wood; Tanmoy Bhattacharya; Brandon F Keele; Elena Giorgi; Michael Liu; Brian Gaschen; Marcus Daniels; Guido Ferrari; Barton F Haynes; Andrew McMichael; George M Shaw; Beatrice H Hahn; Bette Korber; Cathal Seoighe
Journal:  PLoS Pathog       Date:  2009-05-08       Impact factor: 6.823

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