Evidence map›Paper›PMID 19424423›Full record

ArticlePLoS pathogens2009

HIV evolution in early infection: selection pressures, patterns of insertion and deletion, and the impact of APOBEC.

Natasha Wood, Tanmoy Bhattacharya, Brandon F Keele, Elena Giorgi, Michael Liu, Brian Gaschen, Marcus Daniels, Guido Ferrari, Barton F Haynes, Andrew McMichael and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

123 citing papers in PubMed, 180 citations in OpenAlex.

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63 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

14 authors at 8 institutions in 4 countries.

Natasha WoodInstitute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, Cape Town, South Africa.
Tanmoy Bhattacharya
Brandon F Keele
Elena Giorgi
Michael Liu
Brian Gaschen
Marcus Daniels
Guido Ferrari
Barton F Haynes
Andrew McMichael
George M Shaw
Beatrice H Hahn
Bette Korber
Cathal Seoighe
Los Alamos National Laboratory · USUniversity of Alabama at Birmingham · USDuke University · USSanta Fe Institute · USCentre for High Performance Computing · ZAJohn Radcliffe Hospital · GBUniversity of Cape Town · ZAUniversity of Oxford · GB

Funding

Viral Sequencing CoreU19AI067854 · NIAID · DUKE UNIVERSITY · PI LETVIN, NORMAN L · 2006 to 2011
$290.5M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Viral and Host Determinants of HIV-1 TransmissionU01AI067854 · NIAID · DUKE UNIVERSITY · PI HAYNES, BARTON F · 2005 to 2005
$14.9M
Medical Research Council MC_U137884177NIAID NIH HHS AI27767NIAID NIH HHS AI67854NIAID NIH HHS P30 AI027767NIAID NIH HHS U01 AI067854NIAID NIH HHS U19 AI067854
6 · The paper itself

Abstract

The pattern of viral diversification in newly infected individuals provides information about the host environment and immune responses typically experienced by the newly transmitted virus. For example, sites that tend to evolve rapidly across multiple early-infection patients could be involved in enabling escape from common early immune responses, could represent adaptation for rapid growth in a newly infected host, or could represent reversion from less fit forms of the virus that were selected for immune escape in previous hosts. Here we investigated the diversification of HIV-1 env coding sequences in 81 very early B subtype infections previously shown to have resulted from transmission or expansion of single viruses (n = 78) or two closely related viruses (n = 3). In these cases, the sequence of the infecting virus can be estimated accurately, enabling inference of both the direction of substitutions as well as distinction between insertion and deletion events. By integrating information across multiple acutely infected hosts, we find evidence of adaptive evolution of HIV-1 env and identify a subset of codon sites that diversified more rapidly than can be explained by a model of neutral evolution. Of 24 such rapidly diversifying sites, 14 were either i) clustered and embedded in CTL epitopes that were verified experimentally or predicted based on the individual's HLA or ii) in a nucleotide context indicative of APOBEC-mediated G-to-A substitutions, despite having excluded heavily hypermutated sequences prior to the analysis. In several cases, a rapidly evolving site was embedded both in an APOBEC motif and in a CTL epitope, suggesting that APOBEC may facilitate early immune escape. Ten rapidly diversifying sites could not be explained by CTL escape or APOBEC hypermutation, including the most frequently mutated site, in the fusion peptide of gp41. We also examined the distribution, extent, and sequence context of insertions and deletions, and we provide evidence that the length variation seen in hypervariable loop regions of the envelope glycoprotein is a consequence of selection and not of mutational hotspots. Our results provide a detailed view of the process of diversification of HIV-1 following transmission, highlighting the role of CTL escape and hypermutation in shaping viral evolution during the establishment of new infections.

Indexed as

Evolution, MolecularBase SequenceCross-Sectional StudiesCytidine Deaminaseenv Gene Products, Human Immunodeficiency VirusEpitopes, T-LymphocyteGenes, ViralHIV-1HIV InfectionsHumansINDEL MutationModels, GeneticMolecular Sequence DataPhylogenyT-Lymphocytes, CytotoxicCytidine Deaminaseenv Gene Products, Human Immunodeficiency VirusEpitopes, T-Lymphocyte

Identifiers

PMID19424423
PMCPMC2671846
OpenAlexW1995598331

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.