Literature DB >> 19279325

Amino acid covariation in a functionally important human immunodeficiency virus type 1 protein region is associated with population subdivision.

Jack da Silva1.   

Abstract

The frequently reported amino acid covariation of the highly polymorphic human immunodeficiency virus type 1 (HIV-1) exterior envelope glycoprotein V3 region has been assumed to reflect fitness epistasis between residues. However, nonrandom association of amino acids, or linkage disequilibrium, has many possible causes, including population subdivision. If the amino acids at a set of sequence sites differ in frequencies between subpopulations, then analysis of the whole population may reveal linkage disequilibrium even if it does not exist in any subpopulation. HIV-1 has a complex population structure, and the effects of this structure on linkage disequilibrium were investigated by estimating within- and among-subpopulation components of variance in linkage disequilibrium. The amino acid covariation previously reported is explained by differences in amino acid frequencies among virus subpopulations in different patients and by nonsystematic disequilibrium among patients. Disequilibrium within patients appears to be entirely due to differences in amino acid frequencies among sampling time points and among chemokine coreceptor usage phenotypes of virus particles, but not source tissues. Positive selection explains differences in allele frequencies among time points and phenotypes, indicating that these differences are adaptive rather than due to genetic drift. However, the absence of a correlation between linkage disequilibrium and phenotype suggests that fitness epistasis is an unlikely cause of disequilibrium. Indeed, when population structure is removed by analyzing sequences from a single time point and phenotype, no disequilibrium is detectable within patients. These results caution against interpreting amino acid covariation and coevolution as evidence for fitness epistasis.

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Year:  2009        PMID: 19279325      PMCID: PMC2674822          DOI: 10.1534/genetics.108.099853

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


  61 in total

1.  Minimal requirements for the human immunodeficiency virus type 1 V3 domain to support the syncytium-inducing phenotype: analysis by single amino acid substitution.

Authors:  J J De Jong; A De Ronde; W Keulen; M Tersmette; J Goudsmit
Journal:  J Virol       Date:  1992-11       Impact factor: 5.103

2.  Covariation of amino acid positions in HIV-1 protease.

Authors:  Noah G Hoffman; Celia A Schiffer; Ronald Swanstrom
Journal:  Virology       Date:  2003-09-30       Impact factor: 3.616

3.  Gene flow and selection in a two-locus system.

Authors:  M Slatkin
Journal:  Genetics       Date:  1975-12       Impact factor: 4.562

4.  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

5.  The sampling distribution of linkage disequilibrium under an infinite allele model without selection.

Authors:  R R Hudson
Journal:  Genetics       Date:  1985-03       Impact factor: 4.562

6.  Phenotype-associated sequence variation in the third variable domain of the human immunodeficiency virus type 1 gp120 molecule.

Authors:  R A Fouchier; M Groenink; N A Kootstra; M Tersmette; H G Huisman; F Miedema; H Schuitemaker
Journal:  J Virol       Date:  1992-05       Impact factor: 5.103

7.  The crown and stem of the V3 loop play distinct roles in human immunodeficiency virus type 1 envelope glycoprotein interactions with the CCR5 coreceptor.

Authors:  Emmanuel G Cormier; Tatjana Dragic
Journal:  J Virol       Date:  2002-09       Impact factor: 5.103

8.  Selection for specific sequences in the external envelope protein of human immunodeficiency virus type 1 upon primary infection.

Authors:  L Q Zhang; P MacKenzie; A Cleland; E C Holmes; A J Brown; P Simmonds
Journal:  J Virol       Date:  1993-06       Impact factor: 5.103

Review 9.  Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.

Authors:  Montgomery Slatkin
Journal:  Nat Rev Genet       Date:  2008-06       Impact factor: 53.242

10.  Analysis of correlated mutations in HIV-1 protease using spectral clustering.

Authors:  Ying Liu; Eran Eyal; Ivet Bahar
Journal:  Bioinformatics       Date:  2008-03-28       Impact factor: 6.937

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  2 in total

1.  Positive selection identifies an in vivo role for FimH during urinary tract infection in addition to mannose binding.

Authors:  Swaine L Chen; Chia S Hung; Jerome S Pinkner; Jennifer N Walker; Corinne K Cusumano; Zhaoli Li; Julie Bouckaert; Jeffrey I Gordon; Scott J Hultgren
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-16       Impact factor: 11.205

2.  Strong Selection Significantly Increases Epistatic Interactions in the Long-Term Evolution of a Protein.

Authors:  Aditi Gupta; Christoph Adami
Journal:  PLoS Genet       Date:  2016-03-30       Impact factor: 5.917

  2 in total

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