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Reverse transcriptase and protease sequence evolution in two HIV-1-infected couples.

Sarah Palmer1, Dominique Vuitton, Matthew J Gonzales

  • 1HIV Drug Resistance Program, National Cancer Institute, National Institutes of Health, Frederick, Maryland 21702-1201, USA. spalmer@ncifcrf.gov

Journal of Acquired Immune Deficiency Syndromes (1999)
|November 20, 2002
PubMed
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Phylogenetic analysis of HIV-1 sequences can reflect transmission history. However, genetic distances may sometimes obscure direct transmission links, especially with pre-existing viral diversity.

Area of Science:

  • Virology
  • Molecular Epidemiology
  • Phylogenetics

Background:

  • Analyzing human immunodeficiency virus type 1 (HIV-1) genetic sequences is crucial for understanding transmission dynamics.
  • Reverse transcriptase (RT) and protease genes are commonly used for phylogenetic analysis due to their role in viral replication and drug resistance.

Observation:

  • Phylogenetic trees from HIV-1 RT and protease sequences generally aligned with known transmission histories in two couples.
  • Significant genetic divergence (2.9%) was observed in RT sequences within one couple even before therapy initiation.
  • A small proportion (0.9%) of unrelated individuals harbored HIV-1 strains that shared a common ancestor with the recipient but not the transmitter.

Findings:

  • While RT and protease sequences contain phylogenetic information, they may be suboptimal for precisely reconstructing HIV-1 transmission events.

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  • Pre-transmission viral evolution and heterogeneity can complicate phylogenetic interpretations.
  • Genetic distances between unrelated individuals' viral sequences can occasionally mimic those of related individuals, potentially leading to misinterpretations of transmission.
  • Implications:

    • Accurate reconstruction of HIV-1 transmission chains requires careful consideration of viral evolution and genetic distance metrics.
    • Phylogenetic analysis alone may not be sufficient to definitively establish transmission links in all cases.
    • Understanding factors like pre-transmission divergence is essential for effective HIV-1 epidemiology and control strategies.