Evidence map›Paper›PMID 18940873›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2008

Comparison of correspondence analysis methods for synonymous codon usage in bacteria.

Haruo Suzuki, Celeste J Brown, Larry J Forney, Eva M Top

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Codon usage bias and molecular evolution ofFrontiers in genetics · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Codon Usage in theViruses · 2019
    Article
  14. Article
  15. Revisiting the Taxonomy of the GenusFrontiers in microbiology · 2018
    Article
  16. Article
  17. Codon usage in Alphabaculovirus and Betabaculovirus hosted by the same insect species is weak, selection dominated and exhibits no more similar patterns than expected.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    Article
  18. Genome-Wide Analysis of Codon Usage Bias in Epichloë festucae.International journal of molecular sciences · 2016
    Article
  19. Article
  20. Genome Data Exploration Using Correspondence Analysis.Bioinformatics and biology insights · 2016
    Review
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

4 authors.

Haruo SuzukiDepartment of Biological Sciences and Initiative for Bioinformatics and Evolutionary Studies, University of Idaho, PO Box 443051, Moscow, Idaho 83844-3051, USA. hsuzuki@uidaho.edu
Celeste J Brown
Larry J Forney
Eva M Top

Funding

UNDERGRADUATE COLLEGE OUTREACH PROGRAMP20RR016454 · NCRR · UNIVERSITY OF IDAHO · PI MITCHELL, KRISTEN ANDREA · 2001 to 2011
$35.3M
The Evolution of Protein FlexibilityP20RR016448 · NCRR · UNIVERSITY OF IDAHO · PI FORNEY, LARRY J · 2002 to 2011
$19.3M
Modeling the Spatial Dynamics of Plasmid TransferR01GM073821 · NIGMS · UNIVERSITY OF IDAHO · PI KRONE, STEPHEN M. · 2005 to 2009
$1.2M
NCRR NIH HHS P20 RR016448NCRR NIH HHS P20RR016454NCRR NIH HHS P20RR16448NIGMS NIH HHS R01 GM073821
6 · The paper itself

Abstract

Synonymous codon usage varies both between organisms and among genes within a genome, and arises due to differences in G + C content, replication strand skew, or gene expression levels. Correspondence analysis (CA) is widely used to identify major sources of variation in synonymous codon usage among genes and provides a way to identify horizontally transferred or highly expressed genes. Four methods of CA have been developed based on three kinds of input data: absolute codon frequency, relative codon frequency, and relative synonymous codon usage (RSCU) as well as within-group CA (WCA). Although different CA methods have been used in the past, no comprehensive comparative study has been performed to evaluate their effectiveness. Here, the four CA methods were evaluated by applying them to 241 bacterial genome sequences. The results indicate that WCA is more effective than the other three methods in generating axes that reflect variations in synonymous codon usage. Furthermore, WCA reveals sources that were previously unnoticed in some genomes; e.g. synonymous codon usage related to replication strand skew was detected in Rickettsia prowazekii. Though CA based on RSCU is widely used, our evaluation indicates that this method does not perform as well as WCA.

Indexed as

Genes, BacterialBacteriaBase CompositionCodonGene Expression Regulation, BacterialGenetic CodeGenetic TechniquesGene Transfer, HorizontalGenome, BacterialRickettsia prowazekiiCodon

Identifiers

PMID18940873
PMCPMC2608848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.