Literature DB >> 15246258

Distinct patterns of natural selection in the reverse transcriptase gene of HIV-1 in the presence and absence of antiretroviral therapy.

Elcio de S Leal1, Edward C Holmes, Paolo M de A Zanotto.   

Abstract

The emergence of human immunodeficiency virus (HIV) drug-resistant mutations during antiretroviral therapy is explained by either the preexistence of low-frequency-resistant strains before the start of therapy or by the selection of unsuppressed resistant strains during therapy. We used pairwise and maximum likelihood analyses of the ratio of nonsynonymous to synonymous substitutions per site (d(N)/d(S)) to study the extent of positive selection in the reverse transcriptase (RT) gene of HIV-1 from multiple data sets of drug-treated (117 sequences) and drug-naive patients (270 sequences). In the pairwise analysis, evidence for positive selection (d(N)/d(S) > 1) was only found in drug-treated individuals and in codons conferring drug resistance. By the maximum likelihood method, a positive selection at codons conferring drug resistance was only observed in patients receiving therapy, and although positive selection was detected in drug-naive patients, this was always at codons unrelated to drug resistance. We therefore document a striking difference in the process of allele fixation in drug resistance codons (RC) between populations of HIV-1-infected individuals naive to treatment and those receiving therapy. Furthermore, although mutations associated with drug resistance are sometimes found in drug-naive patients, we suggest that these are fixed because of linkage to sites experiencing immune escape. Finally, we show that compensatory changes are likely to be important in the development of HIV drug resistance by counter-acting the deleterious effects normally associated with drug resistance mutations.

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Year:  2004        PMID: 15246258     DOI: 10.1016/j.virol.2004.04.004

Source DB:  PubMed          Journal:  Virology        ISSN: 0042-6822            Impact factor:   3.616


  8 in total

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Authors:  Stéphane Hué; Deenan Pillay; Jonathan P Clewley; Oliver G Pybus
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Authors:  Élcio Leal; Jorge Casseb; Michael Hendry; Michael P Busch; Ricardo Sobhie Diaz
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

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Journal:  Viruses       Date:  2015-03-20       Impact factor: 5.048

7.  High-resolution molecular epidemiology and evolutionary history of HIV-1 subtypes in Albania.

Authors:  Marco Salemi; Tulio de Oliveira; Massimo Ciccozzi; Giovanni Rezza; Maureen M Goodenow
Journal:  PLoS One       Date:  2008-01-02       Impact factor: 3.240

8.  Evolutionary Analysis Provides Insight Into the Origin and Adaptation of HCV.

Authors:  Diego Forni; Rachele Cagliani; Chiara Pontremoli; Uberto Pozzoli; Jacopo Vertemara; Luca De Gioia; Mario Clerici; Manuela Sironi
Journal:  Front Microbiol       Date:  2018-05-01       Impact factor: 5.640

  8 in total

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