Evidence map›Paper›PMID 24086312›Full record

ArticlePloS one2013

CpG usage in RNA viruses: data and hypotheses.

Xiaofei Cheng, Nasar Virk, Wei Chen, Shuqin Ji, Shuxian Ji, Yuqiang Sun, Xiaoyun Wu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
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

66 citing papers in PubMed, 121 citations in OpenAlex.

  1. Article
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  4. Construction of Attenuated Viruses by Changing the UpA Dinucleotide Frequency.Methods in molecular biology (Clifton, N.J.) · 2026
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  8. Innate immune regulations and various siRNA modalities.Drug delivery and translational research · 2023
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  14. Intracellular mono-ADP-ribosyltransferases at the host-virus interphase.Cellular and molecular life sciences : CMLS · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 3 countries.

Xiaofei ChengCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, Zhejiang, P.R. China.
Nasar Virk
Wei Chen
Shuqin Ji
Shuxian Ji
Yuqiang Sun
Xiaoyun Wu
Hangzhou Normal University · CNZhejiang A & F University · CNUniversity of the Sciences · USZhejiang University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CpG repression in RNA viruses has been known for decades, but a reasonable explanation has not yet been proposed to explain this phenomenon. In this study, we calculated the CpG odds ratio of all RNA viruses that have available genome sequences and analyzed the correlation with their genome polarity, base composition, synonymous codon usage, phylogenetic relationship, and host. The results indicated that the viral base composition, synonymous codon usage and host selection were the dominant factors that determined the CpG bias in RNA viruses. CpG usage variation between the different viral groups was caused by different combinations of these pressures, which also differed from each other in strength. The consistent under-representation of CpG usage in -ssRNA viruses is determined predominantly by base composition, which may be a consequence of the U/A preferred mutation bias of -ssRNA viruses, whereas the CpG usage of +ssRNA viruses is affected greatly by their hosts. As a result, most +ssRNA viruses mimic their hosts' CpG usage. Unbiased CpG usage in dsRNA viruses is most likely a result of their dsRNA genome, which allows the viruses to escape from the host-driven CpG elimination pressure. CpG was under-represented in all reverse-transcribing viruses (RT viruses), suggesting that DNA methylation is an important factor affecting the CpG usage of retroviruses. However, vertebrate-infecting RT viruses may also suffer host' CpG elimination pressure that also acts on +ssRNA viruses, which results in further under-representation of CpG in the vertebrate-infecting RT viruses.

Indexed as

CpG IslandsBase CompositionCodonHost-Pathogen InteractionsHumansRNA VirusesCodon

Identifiers

PMID24086312
PMCPMC3781069
OpenAlexW2024182976

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.