Evidence map›Paper›PMID 17881030›Full record

ArticleVirology2007

Cytosine deamination and selection of CpG suppressed clones are the two major independent biological forces that shape codon usage bias in coronaviruses.

Patrick C Y Woo, Beatrice H L Wong, Yi Huang, Susanna K P Lau, Kwok-Yung Yuen

Abstract readComparative Study
In one paragraph

Article in Virology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
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

55 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Correlated substitutions reveal SARS-like coronaviruses recombine frequently with a diverse set of structured gene pools.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  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

5 authors.

Patrick C Y WooState Key Laboratory of Emerging Infectious Diseases, Hong Kong; Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong; Department of Microbiology, The University of Hong Kong, Hong Kong.
Beatrice H L Wong
Yi Huang
Susanna K P Lau
Kwok-Yung Yuen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the complete genome sequences of 19 coronavirus genomes, we analyzed the codon usage bias, dinucleotide relative abundance and cytosine deamination in coronavirus genomes. Of the eight codons that contain CpG, six were markedly suppressed. The mean NNU/NNC ratio of the six amino acids using either NNC or NNU as codon is 3.262, suggesting cytosine deamination. Among the 16 dinucleotides, CpG was most markedly suppressed (mean relative abundance 0.509). No correlation was observed between CpG abundance and mean NNU/NNC ratio. Among the 19 coronaviruses, CoV-HKU1 showed the most extreme codon usage bias and extremely high NNU/NNC ratio of 8.835. Cytosine deamination and selection of CpG suppressed clones by the immune system are the two major independent biochemical and biological selective forces that shape codon usage bias in coronavirus genomes. The underlying mechanism for the extreme codon usage bias, cytosine deamination and G+C content in CoV-HKU1 warrants further studies.

Indexed as

AnimalsBase SequenceCodonCoronaviridaeCpG IslandsCytosineGenome, ViralHumansRNA, ViralSpecies SpecificityCodonCytosineRNA, Viral

Identifiers

PMID17881030
PMCPMC7103290

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.