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Updated: Aug 9, 2026

Molecular Evolution of the Tre Recombinase
Published on: May 29, 2008
Evolution of human immunodeficiency virus under selection and weak recombination
1School of Medicine, Tufts University, Boston, Massachusetts 02111, USA. irouzine@tufts.edu
This study models drug resistance in antiretroviral therapy by analyzing beneficial allele accumulation. Partial depletion of HIV populations can suppress the emergence of drug-resistant strains.
Area of Science:
- Population Genetics
- Virology
- Mathematical Biology
Background:
- Antiretroviral therapy (ART) aims to suppress HIV replication.
- Emergence of drug resistance is a major challenge in HIV treatment.
- Understanding the genetic mechanisms of resistance is crucial for effective therapy.
Purpose of the Study:
- To predict the emergence of drug resistance in patients undergoing antiretroviral therapy.
- To model the accumulation of preexisting beneficial alleles in a haploid population.
- To analyze the impact of selection, recombination, and population size on viral evolution.
Main Methods:
- Developed a generalized analytic method for evolution at multiple linked loci.
- Modeled selection (s) and recombination (r) in a haploid population of N genomes.
- Used Monte Carlo simulations and analytical verification.
Main Results:
- Genome distribution over deleterious alleles moves as a "solitary wave."
- Derived an effective selection coefficient accounting for linkage, recombination, and drift.
- Identified a critical population size (N(c) ≈ 1/r) below which evolution effectively stops.
Conclusions:
- Partial depletion of HIV by combination ART can suppress drug resistance emergence.
- The model provides insights into viral evolution dynamics under therapeutic pressure.
- Findings support strategies aimed at reducing viral load to prevent resistance.
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