Evolutionary history of HIV-1 subtype B and F infections in Brazil

AIDS. 2006 Mar 21;20(5):763-8. doi: 10.1097/01.aids.0000216377.84313.52.

Abstract

Objective: To reconstruct the onset date of the HIV-1 B and F epidemics in Brazil based on virus diversification over time.

Design: We studied HIV-1 env V3 sequences (210 nt) with a known sampling year isolated from HIV-1 positive patients from Brazil between 1989 and 1997: 101 subtype B sequences and 41 subtype F sequences.

Methods: HIV-1 V3 env sequences were grouped by year of collection and the relationship between the sampling years of HIV-1 sequences and their genetic distance to the reconstructed common ancestor (intra-population divergence) or to other sequences from the same year (intra-population diversity) was examined by using linear regression analysis.

Results: Regression analysis of nucleotide distances, revealed a highly significant positive correlation between sampling years of subtype B and F V3 sequences and their intra-population divergence (P < 0.001) or diversity (P < 0.0001). In both subtype populations, the divergence and diversity increased at a rate of 0.5 and 0.9% per year, respectively. Considering these evolutionary rates, we estimate the onset of the subtype B and F HIV-1 epidemics in Brazil during early 1970s and early 1980s, respectively.

Conclusions: The consistent correlation between divergence and diversity of the V3 sequences with their sampling years indicates that the molecular clock is operational in the evolution of the HIV-1 in Brazil's epidemic, and show that subtypes B and F are evolving at a similar rate over time. The dating results suggest a discontinuous introduction of these subtypes in the Brazilian population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brazil / epidemiology
  • Evolution, Molecular*
  • Genes, env*
  • Genetic Variation
  • HIV Infections / epidemiology*
  • HIV Infections / virology
  • HIV-1 / genetics*
  • Humans
  • Linear Models
  • Molecular Epidemiology / methods
  • Phylogeny
  • Sequence Analysis, DNA
  • Time Factors