Evidence map›Paper›PMID 18958611›Full record

ArticleVirus genes2009

Analysis of synonymous codon usage in classical swine fever virus.

Pan Tao, Li Dai, Mengcheng Luo, Fangqiang Tang, Po Tien, Zishu Pan

Open access · bronzeAbstract read
In one paragraph

Article in Virus genes, 2009. 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
6.3field-weighted citation impact, top 4% 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, 129 citations in OpenAlex.

  1. Article
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  4. Codon Usage Bias Analysis in the Chloroplast Genome ofCurrent issues in molecular biology · 2025
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  11. Codon Bias of theInternational journal of molecular sciences · 2024
    Article
  12. Article
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  15. Article
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  17. Analysis of Codon Usage Bias in Xyloglucan Endotransglycosylase (XET) Genes.International journal of molecular sciences · 2023
    Article
  18. Codon usage bias and genetic diversity in chloroplast genomes ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2023
    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

6 authors at 1 institution in 1 country.

Pan TaoState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, Hubei, 430072, China.
Li Dai
Mengcheng Luo
Fangqiang Tang
Po Tien
Zishu Pan
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the complete genome sequences of 35 classical swine fever viruses (CSFV) representing all three genotypes and all three kinds of virulence, we analyzed synonymous codon usage and the relative dinucleotide abundance in CSFV. The general correlation between base composition and codon usage bias suggests that mutational pressure rather than natural selection is the main factor that determines the codon usage bias in CSFV. Furthermore, we observed that the relative abundance of dinucleotides in CSFV is independent of the overall base composition but is still the result of differential mutational pressure, which also shapes codon usage. In addition, other factors, such as the subgenotypes and aromaticity, also influence the codon usage variation among the genomes of CSFV. This study represents the most comprehensive analysis to date of CSFV codon usage patterns and provides a basic understanding of the mechanisms for codon usage bias.

Indexed as

CodonGenome, ViralAnimalsClassical Swine Fever VirusCluster AnalysisDNA, ViralMutationSelection, GeneticSequence Analysis, DNASwineCodonDNA, Viral

Identifiers

PMID18958611
PMCPMC7089228
OpenAlexW2065997890

What OpenQuestion holds

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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.