Evidence map›Paper›PMID 26652000›Full record

ArticleeLife2015

Population genomics of intrapatient HIV-1 evolution.

Fabio Zanini, Johanna Brodin, Lina Thebo, Christa Lanz, Göran Bratt, Jan Albert, Richard A Neher

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

149 citing papers in PubMed.

  1. Trial
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  6. 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 · 2026
    Article
  7. Article
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  11. Article
  12. Article
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  14. Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Inferring fitness seascapes from evolutionary histories.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. A binary trait model reveals the fitness effects of HIV-1 escape from T cell responses.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Fabio ZaniniEvolutionary Dynamics and Biophysics, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Johanna BrodinDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.
Lina TheboDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.
Christa LanzEvolutionary Dynamics and Biophysics, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Göran BrattDepartment of Clinical Science and Education, Stockholm South General Hospital, Stockholm, Sweden.
Jan AlbertDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.
Richard A NeherEvolutionary Dynamics and Biophysics, Max Planck Institute for Developmental Biology, Tübingen, Germany.ORCID http://orcid.org/0000-0003-2525-1407

Funding

European Research Council 260686
6 · The paper itself

Abstract

Many microbial populations rapidly adapt to changing environments with multiple variants competing for survival. To quantify such complex evolutionary dynamics in vivo, time resolved and genome wide data including rare variants are essential. We performed whole-genome deep sequencing of HIV-1 populations in 9 untreated patients, with 6-12 longitudinal samples per patient spanning 5-8 years of infection. The data can be accessed and explored via an interactive web application. We show that patterns of minor diversity are reproducible between patients and mirror global HIV-1 diversity, suggesting a universal landscape of fitness costs that control diversity. Reversions towards the ancestral HIV-1 sequence are observed throughout infection and account for almost one third of all sequence changes. Reversion rates depend strongly on conservation. Frequent recombination limits linkage disequilibrium to about 100 bp in most of the genome, but strong hitch-hiking due to short range linkage limits diversity.

Indexed as

Genetic VariationMetagenomicsGenetic LinkageGenome, ViralHigh-Throughput Nucleotide SequencingHIV-1HIV InfectionsHumansLongitudinal StudiesMutationRecombination, GeneticSequence Analysis, DNAdeep sequencingevolutionevolutionary biologyfitness landscapesgenomicsHIV-1infectious diseasemicrobiologyreversionviruses

Identifiers

PMID26652000
PMCPMC4718817

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.