Evidence map›Paper›PMID 26693708›Full record

ArticlePLoS computational biology2015

Recombination Enhances HIV-1 Envelope Diversity by Facilitating the Survival of Latent Genomic Fragments in the Plasma Virus Population.

Taina T Immonen, Jessica M Conway, Ethan O Romero-Severson, Alan S Perelson, Thomas Leitner

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Evolution during primary HIV infection does not require adaptive immune selection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. The Puzzle of HIV Neutral and Selective Evolution.Molecular biology and evolution · 2018
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Mathematical Models of HIV Latency.Current topics in microbiology and immunology
    Review
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

5 authors at 2 institutions in 1 country.

Taina T ImmonenTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Jessica M ConwayDepartment of Mathematics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Ethan O Romero-SeversonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Alan S PerelsonTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Thomas LeitnerTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Los Alamos National Laboratory · USPennsylvania State University · US

Funding

Reconstructing HIV Epidemics from HIV PhylogeneticsR01AI087520 · NIAID · TRIAD NATIONAL SECURITY, LLC · PI Thomas K. Leitner · 2010 to 2026
$11.2M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Quantifying The Effect Of HIV LatencyR21AI106437 · NIAID · LOS ALAMOS NAT SECTY-LOS ALAMOS NAT LAB · PI LEITNER, THOMAS K. · 2013 to 2014
$446k
NIAID NIH HHS AI106437NIAID NIH HHS R01 AI028433NIAID NIH HHS R01-AI028433NIAID NIH HHS R01 AI087520NIAID NIH HHS R21 AI106437NIH HHS R01 OD011095NIH HHS R01-OD011095
6 · The paper itself

Abstract

HIV-1 is subject to immune pressure exerted by the host, giving variants that escape the immune response an advantage. Virus released from activated latent cells competes against variants that have continually evolved and adapted to host immune pressure. Nevertheless, there is increasing evidence that virus displaying a signal of latency survives in patient plasma despite having reduced fitness due to long-term immune memory. We investigated the survival of virus with latent envelope genomic fragments by simulating within-host HIV-1 sequence evolution and the cycling of viral lineages in and out of the latent reservoir. Our model incorporates a detailed mutation process including nucleotide substitution, recombination, latent reservoir dynamics, diversifying selection pressure driven by the immune response, and purifying selection pressure asserted by deleterious mutations. We evaluated the ability of our model to capture sequence evolution in vivo by comparing our simulated sequences to HIV-1 envelope sequence data from 16 HIV-infected untreated patients. Empirical sequence divergence and diversity measures were qualitatively and quantitatively similar to those of our simulated HIV-1 populations, suggesting that our model invokes realistic trends of HIV-1 genetic evolution. Moreover, reconstructed phylogenies of simulated and patient HIV-1 populations showed similar topological structures. Our simulation results suggest that recombination is a key mechanism facilitating the persistence of virus with latent envelope genomic fragments in the productively infected cell population. Recombination increased the survival probability of latent virus forms approximately 13-fold. Prevalence of virus with latent fragments in productively infected cells was observed in only 2% of simulations when we ignored recombination, while the proportion increased to 27% of simulations when we allowed recombination. We also found that the selection pressures exerted by different fitness landscapes influenced the shape of phylogenies, diversity trends, and survival of virus with latent genomic fragments. Our model predicts that the persistence of latent genomic fragments from multiple different ancestral origins increases sequence diversity in plasma for reasonable fitness landscapes.

Indexed as

Cell SurvivalEvolution, MolecularGenetic FitnessGenetic VariationGenome, ViralHIV-1HumansPlasmaRecombination, GeneticViral Envelope ProteinsVirus LatencyViral Envelope Proteins

Identifiers

PMID26693708
PMCPMC4687844
OpenAlexW2199500517

What OpenQuestion holds

Textmetadata
LicenceCC0
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.