ArticlePLoS computational biology2012
Reconstructing the dynamics of HIV evolution within hosts from serial deep sequence data.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- HIV-1 subtype C predicted co-receptor tropism in Africa: an individual sequence level meta-analysis.AIDS research and therapy · 2020Pooled it
- Evolutionary dynamics of HIV-1 recombinants: analysis of contemporary and historical viral populations in East Africa.Virology journal · 2026Article
- CXCR4 Is a Potential Target for Anti-HIV Gene Therapy.International journal of molecular sciences · 2024Review
- Spatial and temporal dynamics of West Nile virus between Africa and Europe.Nature communications · 2023Article
- PIQMEE: Bayesian Phylodynamic Method for Analysis of Large Data Sets with Duplicate Sequences.Molecular biology and evolution · 2020Article
- Existence of Replication-Competent Minor Variants with Different Coreceptor Usage in Plasma from HIV-1-Infected Individuals.Journal of virology · 2020Article
- HIV-1 Productively Infects and Integrates in Bronchial Epithelial Cells.Frontiers in cellular and infection microbiology · 2020Article
- Full-Length Envelope Analyzer (FLEA): A tool for longitudinal analysis of viral amplicons.PLoS computational biology · 2018Article
- A majority of HIV persistence during antiretroviral therapy is due to infected cell proliferation.Nature communications · 2018Article
- Phylogenetic approach to recover integration dates of latent HIV sequences within-host.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Ultradeep single-molecule real-time sequencing of HIV envelope reveals complete compartmentalization of highly macrophage-tropic R5 proviral variants in brain and CXCR4-using variants in immune and peripheral tissues.Journal of neurovirology · 2018Article
- Neutral Theory and Rapidly Evolving Viral Pathogens.Molecular biology and evolution · 2018Article
- Large and finite sample properties of a maximum-likelihood estimator for multiplicity of infection.PloS one · 2018Article
- Pace of Coreceptor Tropism Switch in HIV-1-Infected Individuals after Recent Infection.Journal of virology · 2017Article
- High-Sequence Diversity and Rapid Virus Turnover Contribute to Higher Rates of Coreceptor Switching in Treatment-Experienced Subjects with HIV-1 Viremia.AIDS research and human retroviruses · 2017Article
- Observational
- Emergence of CXCR4-tropic HIV-1 variants followed by rapid disease progression in hemophiliac slow progressors.PloS one · 2017Article
- Ancestral Reconstruction.PLoS computational biology · 2016Article
- Article
- Coalescent Inference Using Serially Sampled, High-Throughput Sequencing Data from Intrahost HIV Infection.Genetics · 2016Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
At the early stage of infection, human immunodeficiency virus (HIV)-1 predominantly uses the CCR5 coreceptor for host cell entry. The subsequent emergence of HIV variants that use the CXCR4 coreceptor in roughly half of all infections is associated with an accelerated decline of CD4+ T-cells and rate of progression to AIDS. The presence of a 'fitness valley' separating CCR5- and CXCR4-using genotypes is postulated to be a biological determinant of whether the HIV coreceptor switch occurs. Using phylogenetic methods to reconstruct the evolutionary dynamics of HIV within hosts enables us to discriminate between competing models of this process. We have developed a phylogenetic pipeline for the molecular clock analysis, ancestral reconstruction, and visualization of deep sequence data. These data were generated by next-generation sequencing of HIV RNA extracted from longitudinal serum samples (median 7 time points) from 8 untreated subjects with chronic HIV infections (Amsterdam Cohort Studies on HIV-1 infection and AIDS). We used the known dates of sampling to directly estimate rates of evolution and to map ancestral mutations to a reconstructed timeline in units of days. HIV coreceptor usage was predicted from reconstructed ancestral sequences using the geno2pheno algorithm. We determined that the first mutations contributing to CXCR4 use emerged about 16 (per subject range 4 to 30) months before the earliest predicted CXCR4-using ancestor, which preceded the first positive cell-based assay of CXCR4 usage by 10 (range 5 to 25) months. CXCR4 usage arose in multiple lineages within 5 of 8 subjects, and ancestral lineages following alternate mutational pathways before going extinct were common. We observed highly patient-specific distributions and time-scales of mutation accumulation, implying that the role of a fitness valley is contingent on the genotype of the transmitted variant.
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