Evidence map›Paper›PMID 29953449›Full record

ArticlePLoS genetics2018

Within-patient mutation frequencies reveal fitness costs of CpG dinucleotides and drastic amino acid changes in HIV.

Kristof Theys, Alison F Feder, Maoz Gelbart, Marion Hartl, Adi Stern, Pleuni S Pennings

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Hierarchical genotype networks and incipient ecological speciation in Q[Formula: see text] phage quasispecies.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  8. Article
  9. Host-virus interaction and viral evasion.Cell biology international · 2021
    Review
  10. Article
  11. Biased Mutation and Selection in RNA Viruses.Molecular biology and evolution · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Kristof TheysClinical and Epidemiological Virology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, University of Leuven, Leuven, Belgium.ORCID 0000-0003-0242-7000
Alison F FederDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-2915-089X
Maoz GelbartSchool of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0001-9268-9404
Marion HartlDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.ORCID 0000-0002-0525-1680
Adi SternSchool of Molecular Cell Biology and Biotechnology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Pleuni S PenningsDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
San Francisco State University · USTel Aviv University · ILRega Institute for Medical Research · BEStanford University · US

Funding

Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

HIV has a high mutation rate, which contributes to its ability to evolve quickly. However, we know little about the fitness costs of individual HIV mutations in vivo, their distribution and the different factors shaping the viral fitness landscape. We calculated the mean frequency of transition mutations at 870 sites of the pol gene in 160 patients, allowing us to determine the cost of these mutations. As expected, we found high costs for non-synonymous and nonsense mutations as compared to synonymous mutations. In addition, we found that non-synonymous mutations that lead to drastic amino acid changes are twice as costly as those that do not and mutations that create new CpG dinucleotides are also twice as costly as those that do not. We also found that G→A and C→T mutations are more costly than A→G mutations. We anticipate that our new in vivo frequency-based approach will provide insights into the fitness landscape and evolvability of not only HIV, but a variety of microbes.

Indexed as

Mutation RateAmino AcidsDatabases, GeneticFemaleGene Products, polGenes, polHIVHIV-1HIV InfectionsHumansMaleMutationSequence Analysis, DNASequence Analysis, ProteinSilent MutationVirus ReplicationAmino AcidsGene Products, pol

Identifiers

PMID29953449
PMCPMC6023119
OpenAlexW2810589307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.