Evidence map›Paper›PMID 27572964›Full record

ArticleNature microbiology2016

Highly heterogeneous mutation rates in the hepatitis C virus genome.

Ron Geller, Úrsula Estada, Joan B Peris, Iván Andreu, Juan-Vicente Bou, Raquel Garijo, José M Cuevas, Rosario Sabariegos, Antonio Mas, Rafael Sanjuán

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.9field-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

34 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
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  9. Viral proteases as therapeutic targets.Molecular aspects of medicine · 2022
    Review
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  13. Article
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  15. Article
  16. Article
  17. Review
  18. Review
  19. The Role of the RNA-RNA Interactome in the Hepatitis C Virus Life Cycle.International journal of molecular sciences · 2020
    Review
  20. 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

10 authors at 2 institutions in 1 country.

Ron GellerInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.ORCID 0000-0002-7612-4611
Úrsula EstadaUnitat de Genómica, Servei Central de Suport a la Investigació Experimental, Universitat de València, 46100 Burjassot, València, Spain.
Joan B PerisInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.
Iván AndreuInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.
Juan-Vicente BouInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.
Raquel GarijoInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.
José M CuevasInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.
Rosario SabariegosRegional Center for Biomedical Research, Universidad de Castilla-La Mancha, 02006 Albacete, Spain.
Antonio MasRegional Center for Biomedical Research, Universidad de Castilla-La Mancha, 02006 Albacete, Spain.
Rafael SanjuánInstituto Cavanilles de Biodiversidad y Biología Evolutiva and Institute for Integrative Systems Biology (I2SysBio), Universitat de València, 46980 Paterna, València, Spain.
Universitat de València · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous mutations are the ultimate source of genetic variation and have a prominent role in evolution. RNA viruses such as hepatitis C virus (HCV) have extremely high mutation rates, but these rates have been inferred from a minute fraction of genome sites, limiting our view of how RNA viruses create diversity. Here, by applying high-fidelity ultradeep sequencing to a modified replicon system, we scored >15,000 spontaneous mutations, encompassing more than 90% of the HCV genome. This revealed >1,000-fold differences in mutability across genome sites, with extreme variations even between adjacent nucleotides. We identify base composition, the presence of high- and low-mutation clusters and transition/transversion biases as the main factors driving this heterogeneity. Furthermore, we find that mutability correlates with the ability of HCV to diversify in patients. These data provide a site-wise baseline for interrogating natural selection, genetic load and evolvability in HCV, as well as for evaluating drug resistance and immune evasion risks.

Indexed as

Genome, ViralMutation RateGenetic VariationGenotypeHepacivirusHepatitis CHigh-Throughput Nucleotide SequencingHumansNucleotidesRepliconRNA, ViralVirus ReplicationNucleotidesRNA, Viral

Identifiers

PMID27572964
OpenAlexW2342001119

What OpenQuestion holds

Textmetadata
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.