Literature DB >> 20953943

Complex positive selection pressures drive the evolution of HIV-1 with different co-receptor tropisms.

ChiYu Zhang1, Na Ding, KePing Chen, RongGe Yang.   

Abstract

HIV-1 co-receptor tropism is central for understanding the transmission and pathogenesis of HIV-1 infection. We performed a genome-wide comparison between the adaptive evolution of R5 and X4 variants from HIV-1 subtypes B and C. The results showed that R5 and X4 variants experienced differential evolutionary patterns and different HIV-1 genes encountered various positive selection pressures, suggesting that complex selection pressures are driving HIV-1 evolution. Compared with other hypervariable regions of Gp120, significantly more positively selected sites were detected in the V3 region of subtype B X4 variants, V2 region of subtype B R5 variants, and V1 and V4 regions of subtype C X4 variants, indicating an association of positive selection with co-receptor recognition/binding. Intriguingly, a significantly higher proportion (33.3% and 55.6%, P<0.05) of positively selected sites were identified in the C3 region than other conserved regions of Gp120 in all the analyzed HIV-1 variants, indicating that the C3 region might be more important to HIV-1 adaptation than previously thought. Approximately half of the positively selected sites identified in the env gene were identical between R5 and X4 variants. There were three common positively selected sites (96, 113 and 281) identified in Gp41 of all X4 and R5 variants from subtypes B and C. These sites might not only suggest a functional importance in viral survival and adaptation, but also imply a potential cross-immunogenicity between HIV-1 R5 and X4 variants, which has important implications for AIDS vaccine development.

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Year:  2010        PMID: 20953943      PMCID: PMC7089306          DOI: 10.1007/s11427-010-4066-5

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  47 in total

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Authors:  A Björndal; H Deng; M Jansson; J R Fiore; C Colognesi; A Karlsson; J Albert; G Scarlatti; D R Littman; E M Fenyö
Journal:  J Virol       Date:  1997-10       Impact factor: 5.103

2.  Improved prediction of coreceptor usage and phenotype of HIV-1 based on combined features of V3 loop sequence using random forest.

Authors:  Shungao Xu; Xinxiang Huang; Huaxi Xu; Chiyu Zhang
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Authors:  R J Smyth; Y Yi; A Singh; R G Collman
Journal:  J Virol       Date:  1998-05       Impact factor: 5.103

Review 4.  Chemokine receptors as HIV-1 coreceptors: roles in viral entry, tropism, and disease.

Authors:  E A Berger; P M Murphy; J M Farber
Journal:  Annu Rev Immunol       Date:  1999       Impact factor: 28.527

5.  Crystal structure of HIV-1 reverse transcriptase in complex with a polypurine tract RNA:DNA.

Authors:  S G Sarafianos; K Das; C Tantillo; A D Clark; J Ding; J M Whitcomb; P L Boyer; S H Hughes; E Arnold
Journal:  EMBO J       Date:  2001-03-15       Impact factor: 11.598

6.  Immune-mediated positive selection drives human immunodeficiency virus type 1 molecular variation and predicts disease duration.

Authors:  Howard A Ross; Allen G Rodrigo
Journal:  J Virol       Date:  2002-11       Impact factor: 5.103

7.  Selective pressures of human immunodeficiency virus type 1 (HIV-1) during pediatric infection.

Authors:  Elcio Leal; Mario Janini; Ricardo S Diaz
Journal:  Infect Genet Evol       Date:  2007-07-22       Impact factor: 3.342

Review 8.  The CCR5 and CXCR4 coreceptors--central to understanding the transmission and pathogenesis of human immunodeficiency virus type 1 infection.

Authors:  John P Moore; Scott G Kitchen; Pavel Pugach; Jerome A Zack
Journal:  AIDS Res Hum Retroviruses       Date:  2004-01       Impact factor: 2.205

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

Authors:  Scott Williamson
Journal:  Mol Biol Evol       Date:  2003-05-30       Impact factor: 16.240

10.  Change in coreceptor use correlates with disease progression in HIV-1--infected individuals.

Authors:  R I Connor; K E Sheridan; D Ceradini; S Choe; N R Landau
Journal:  J Exp Med       Date:  1997-02-17       Impact factor: 14.307

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  1 in total

1.  Translational medicine in China I: perspectives from Chinese physicians and scientists.

Authors:  Chengyu Jiang
Journal:  Sci China Life Sci       Date:  2012-01-07       Impact factor: 6.038

  1 in total

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