ArticlePLoS genetics2014
Loss and recovery of genetic diversity in adapting populations of HIV.
Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
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Who cites it
83 citing papers in PubMed.
- Trial
- What has population genomics told us about the dynamics of selection and plant adaptation?Molecular biology and evolution · 2026Review
- Haplotype and diversity signatures of ultra-soft selective sweeps in HIV-1.bioRxiv : the preprint server for biology · 2026Article
- Recurrent mutations drive rapid HIV escape from two broadly neutralizing antibodies in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A recurrent adaptive mutation in the transmembrane 2B protein of an insect picorna-like virus in a nonnative host.Journal of virology · 2026Article
- Distinct modes of evolution drive HIV escape from two broadly neutralizing antibodies.bioRxiv : the preprint server for biology · 2025Article
- Near extinction of the HBV quasispecies driven by the hard selective sweep in chronic hepatitis B.mBio · 2025Article
- Tradeoffs between proliferation and transmission in virus evolution- insights from evolutionary and functional analyses of SARS-CoV-2.Virology journal · 2025Article
- Timesweeper: accurately identifying selective sweeps using population genomic time series.Genetics · 2023Article
- Bottlenecks can constrain and channel evolutionary paths.Genetics · 2023Article
- The mechanism shaping the logistic growth of mutation proportion in epidemics at population scale.Infectious Disease Modelling · 2023Article
- Genomic dissection of the microevolution of Australian epidemicEmerging microbes & infections · 2022Article
- Forgiveness of INSTI-Containing Regimens at Drug Concentrations Simulating Variable AdherenceAntimicrobial agents and chemotherapy · 2022Article
- Assessing in vivo mutation frequencies and creating a high-resolution genome-wide map of fitness costs of Hepatitis C virus.PLoS genetics · 2022Article
- Social, Epidemiological, and Virological Characteristics from Peruvian Subjects Living with HIV-1/AIDS with Different Sexual Risk Behavior.AIDS research and human retroviruses · 2022Article
- Article
- The Origin, Epidemiology, and Phylodynamics of Human Immunodeficiency Virus Type 1 CRF47_BF.Frontiers in microbiology · 2022Article
- The evolution of the HIV-1 protease folding stability.Virus evolution · 2022Article
- Strong selection and high mutation supply characterize experimental Chlorovirus evolution.Virus evolution · 2022Article
- Bottleneck-associated changes in the genomic landscape of genetic diversity in wild lynx populations.Evolutionary applications · 2021Article
23 more citing papers are in PubMed but not listed here.
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3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of drug resistance in HIV occurs by the fixation of specific, well-known, drug-resistance mutations, but the underlying population genetic processes are not well understood. By analyzing within-patient longitudinal sequence data, we make four observations that shed a light on the underlying processes and allow us to infer the short-term effective population size of the viral population in a patient. Our first observation is that the evolution of drug resistance usually occurs by the fixation of one drug-resistance mutation at a time, as opposed to several changes simultaneously. Second, we find that these fixation events are accompanied by a reduction in genetic diversity in the region surrounding the fixed drug-resistance mutation, due to the hitchhiking effect. Third, we observe that the fixation of drug-resistance mutations involves both hard and soft selective sweeps. In a hard sweep, a resistance mutation arises in a single viral particle and drives all linked mutations with it when it spreads in the viral population, which dramatically reduces genetic diversity. On the other hand, in a soft sweep, a resistance mutation occurs multiple times on different genetic backgrounds, and the reduction of diversity is weak. Using the frequency of occurrence of hard and soft sweeps we estimate the effective population size of HIV to be 1.5 x 10(5) (95% confidence interval [0.8 x 10(5),4.8 x 10(5)]). This number is much lower than the actual number of infected cells, but much larger than previous population size estimates based on synonymous diversity. We propose several explanations for the observed discrepancies. Finally, our fourth observation is that genetic diversity at non-synonymous sites recovers to its pre-fixation value within 18 months, whereas diversity at synonymous sites remains depressed after this time period. These results improve our understanding of HIV evolution and have potential implications for treatment strategies.
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