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Updated: Jul 8, 2026

Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
Published on: September 26, 2011
HIV type 1 genetic variability in central Brazil
Nazle M C Véras1, Verônica S Véras, Eduardo D Ramalho
1Pós-Graduação em Biologia Molecular, Instituto de Biologia, Universidade de Brasília ICC Sul, 70919-900 Brasília, DF, Brazil. nazle_veras@hotmail.com
Genetic variability of Human Immunodeficiency Virus type 1 (HIV-1) in Central Brazil reveals a high prevalence of subtype B. This finding aids in understanding HIV-1 diversity and developing potential vaccine candidates.
Area of Science:
- Virology
- Genetics
- Epidemiology
Background:
- Understanding the genetic diversity of Human Immunodeficiency Virus type 1 (HIV-1) is crucial for effective treatment and vaccine development.
- Previous studies have indicated significant HIV-1 subtype diversity across Brazil.
Purpose of the Study:
- To analyze the genetic variability of HIV-1 pol and env genes in Central Brazil.
- To determine the prevalence of different HIV-1 subtypes and identify recombinant forms.
- To investigate the antigenic diversity of the gp120 V3 loop.
Main Methods:
- Nested PCR amplification and sequencing of HIV-1 protease, reverse transcriptase, and C2C3/env genes.
- Subtyping using the REGA program and phylogenetic analyses.
- Recombinant form analysis using SimPlot software.
- Amino acid sequence analysis of the gp120 V3 loop.
Main Results:
- A high prevalence of HIV-1 subtype B (95.1%) was observed in Central Brazil, with a small proportion of mosaic B/F viruses (4.9%).
- The most common gp120 V3 loop motif was GPGR (43.3%), prevalent in subtypes B and F, followed by GPGK (10%).
- Phylogenetic analysis indicated that Central Brazil subtype B strains cluster polyphyletically, showing similarity to strains from other regions.
Conclusions:
- Subtype B is the predominant HIV-1 strain in Central Brazil, with genetic similarities to strains found globally.
- The identified genetic diversity, particularly in the V3 loop, provides valuable data for HIV-1 research and vaccine strategies in the region.
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