Evidence map›Paper›PMID 21483787›Full record

ArticlePloS one2011

Fitness ranking of individual mutants drives patterns of epistatic interactions in HIV-1.

Javier P Martínez, Gennady Bocharov, Anna Ignatovich, Jochen Reiter, Matthias T Dittmar, Simon Wain-Hobson, Andreas Meyerhans

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. A systematic survey of an intragenic epistatic landscape.Molecular biology and evolution · 2015
    Article
  5. Inferring fitness landscapes by regression produces biased estimates of epistasis.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Viral quasispecies evolution.Microbiology and molecular biology reviews : MMBR · 2012
    Review
  13. Article
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.

Javier P MartínezDepartment of Virology, University of the Saarland, Homburg, Germany.
Gennady Bocharov
Anna Ignatovich
Jochen Reiter
Matthias T Dittmar
Simon Wain-Hobson
Andreas Meyerhans

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fitness interactions between mutations, referred to as epistasis, can strongly impact evolution. For RNA viruses and retroviruses with their high mutation rates, epistasis may be particularly important to overcome fitness losses due to the accumulation of deleterious mutations and thus could influence the frequency of mutants in a viral population. As human immunodeficiency virus type 1 (HIV-1) resistance to azidothymidine (AZT) requires selection of sequential mutations, it is a good system to study the impact of epistasis. Here we present a thorough analysis of a classical AZT-resistance pathway (the 41-215 cluster) of HIV-1 variants by fitness measurements in single round infection assays covering physiological drug concentrations ex vivo. The sign and value of epistasis varied and did not predict the epistatic effect on the mutant frequency. This complex behavior is explained by the fitness ranking of the variants that strongly depends on environmental factors, i.e., the presence and absence of drugs and the host cells used. Although some interactions compensate fitness losses, the observed small effect on the relative mutant frequencies suggests that epistasis might be inefficient as a buffering mechanism for fitness losses in vivo. While the use of epistasis-based hypotheses to make general assumptions on the evolutionary dynamics of viral populations is appealing, our data caution their interpretation without further knowledge on the characteristics of the viral mutant spectrum under different environmental conditions.

Indexed as

Epistasis, GeneticEvolution, MolecularHIV-1HumansMutagenesis, Site-DirectedMutationPolymerase Chain ReactionVirus ReplicationZidovudineZidovudine

Identifiers

PMID21483787
PMCPMC3069090

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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.