Cited by 68RNA and protein synthesis mechanismsGenomics and Phylogenetic StudiesEvolution and Genetic Dynamics

Relative Codon Adaptation Index, a Sensitive Measure of Codon Usage Bias

Open access
Lee, Soohyun, Weon, Seyeon, Lee, Sooncheol, Kang, Changwon·2010·Evolutionary Bioinformatics

Abstract

We propose a simple, sensitive measure of synonymous codon usage bias, the Relative Codon Adaptation Index (rCAI), as a way to discriminate better between highly biased and unbiased regions, compared with the widely used Codon Adaptation Index (CAI). CAI is a geometric mean of the relative usage of codons in a gene, and is calculated using the codon usage table trained with a set of highly expressed genes. In contrast, rCAI is computed by subtracting the background codon usage trained with two noncoding frames of highly expressed genes from the codon usage in the coding frame. rCAI has higher signal-to-noise ratio than CAI, considering that noncoding frames would not show codon bias. Translation efficiency and protein abundance correlates comparably or better with rCAI than CAI or other measures such as ‘effective number of codons’ and ‘SCUMBLE offsets’. Within overlapping coding regions, one of the two coding frames dominates in codon usage bias according to rCAI. Presumably, rCAI could substitute CAI in diverse applications.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.4137/ebo.s4608

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The frequencies of the peptides displayed on phages are not even in the library.

    “Usually, the frequencies of the peptides displayed on phages are not even in the library. There were some reasons for the heterogenous phage amount, such as biases in library construction, variance in the use of cryptography,45,46 the different growth rates of phages and peptide degradation by protease.47”

    From Identification of heptapeptides targeting a lethal bacterial strain in septic mice through an integrative approach (2022) · cites this paper as [46]

    The Results and Discussion section discusses codon usage in bacteriophage λ genes, not the frequencies of peptides displayed in a phage library. A search for phage-display library abundance and uneven peptide frequencies found no passage addressing the claim. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 39

  1. [1]Ikemura T Codon usage and tRNA content in unicellular and multicellular organisms Mol Biol Evol 1985 2 13 34 3916708
  2. [2]Sueoka N On the genetic basis of variation and heterogeneity of DNA base composition Proc Natl Acad Sci U S A 1962 48 582 92 13918161 PMC220819
  3. [3]Lobry JR Asymmetric substitution patterns in the two DNA strands of bacteria Mol Biol Evol 1996 13 660 5 8676740
  4. [4]McLean MJ Wolfe KH Devine KM Base composition skews, replication orientation, and gene orientation in 12 prokaryote genomes J Mol Evol 1998 47 691 6 9847411
  5. [5]Xia X Maximizing transcription efficiency causes codon usage bias Genetics 1996 144 1309 20 8913770 PMC1207621
  6. [6]Lao PJ Forsdyke DR Thermophilic bacteria strictly obey Szybalski’s transcription direction rule and politely purine-load RNAs with both adenine and guanine Genome Res 2000 10 228 36 10673280 PMC310832
  7. [7]D’Onofrio G Jabbari K Musto H Bernardi G The correlation of protein hydropathy with the base composition of coding sequences Gene 1999 238 3 14 10570978
  8. [8]Sharp PM Bailes E Grocock RJ Peden JF Sockett RE Variation in the strength of selected codon usage bias among bacteria Nucleic Acids Res 2005 33 1141 53 15728743 PMC549432
  9. [9]Ermolaeva MD Synonymous codon usage in bacteria Curr Issues Mol Biol 2001 3 91 7 11719972
  10. [10]Lloyd AT Sharp PM Evolution of codon usage patterns: the extent and nature of divergence between Candida albicans and Saccharomyces cerevisiae Nucleic Acids Res 1992 20 5289 95 1437548 PMC334333
  11. [11]Kotlar D Lavner Y The action of selection on codon bias in the human genome is related to frequency, complexity, and chronology of amino acids BMC Genomics 2006 7 67 16584540 PMC1456966
  12. [12]Powell JR Moriyama EN Evolution of codon usage bias in Drosophila Proc Natl Acad Sci U S A 1997 94 7784 90 9223264 PMC33704
  13. [13]Duret L Mouchiroud D Expression pattern and, surprisingly, gene length shape codon usage in Caenorhabditis, Drosophila, and Arabidopsis Proc Natl Acad Sci U S A 1999 96 4482 7 10200288 PMC16358
  14. [14]Novembre JA Accounting for background nucleotide composition when measuring codon usage bias Mol Biol Evol 2002 19 1390 4 12140252
  15. [15]Kleber-Janke T Becker WM Use of modified BL21(DE3) Escherichia coli cells for high-level expression of recombinant peanut allergens affected by poor codon usage Protein Expr Purif 2000 19 419 24 10910733
  16. [16]Kane JF Effects of rare codon clusters on high-level expression of heterologous proteins in Escherichia coli Curr Opin Biotechnol 1995 6 494 500 7579660
  17. [17]Ikemura T Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes: a proposal for a synonymous codon choice that is optimal for the E. coli translational system J Mol Biol 1981 151 389 409 6175758
  18. [19]Wright F The ‘effective number of codons’ used in a gene Gene 1990 87 23 9 2110097
  19. [20]Fuglsang A On the methodological weakness of ‘the effective number of codons’: a reply to Marashi and Najafabadi Biochem Biophys Res Commun 2005 327 1 3 15629420
  20. [21]Wall DP Herbeck JT Evolutionary patterns of codon usage in the chloroplast gene rbcL J Mol Evol 2003 56 673 88; discussion 89 90 12911031
  21. [22]Fuglsang A The ‘effective number of codons’ revisited Biochem Biophys Res Commun 2004 317 957 64 15081433
  22. [23]Suzuki H Brown CJ Forney LJ Top EM Comparison of correspondence analysis methods for synonymous codon usage in bacteria DNA Res 2008 15 357 65 18940873 PMC2608848
  23. [24]Goetz RM Fuglsang A Correlation of codon bias measures with mRNA levels: analysis of transcriptome data from Escherichia coli Biochem Biophys Res Commun 2005 327 4 7 15629421
  24. [25]Kloster M Tang C SCUMBLE: a method for systematic and accurate detection of codon usage bias by maximum likelihood estimation Nucleic Acids Res 2008 36 3819 27 18495752 PMC2441815
  25. [26]Post LE Nomura M DNA sequences from the str operon of Escherichia coli J Biol Chem 1980 255 4660 6 6989816
  26. [27]Gouy M Gautier C Codon usage in bacteria: correlation with gene expressivity Nucleic Acids Res 1982 10 7055 74 6760125 PMC326988
  27. [28]Futcher B Latter GI Monardo P McLaughlin CS Garrels JI A sampling of the yeast proteome Mol Cell Biol 1999 19 7357 68 10523624 PMC84729
  28. [29]Gygi SP Rochon Y Franza BR Aebersold R Correlation between protein and mRNA abundance in yeast Mol Cell Biol 1999 19 1720 30 10022859 PMC83965
  29. [31]Dressaire C Gitton C Loubiere P Monnet V Queinnec I Cocaign-Bousquet M Transcriptome and proteome exploration to model translation efficiency and protein stability in Lactococcus lactis PLoS Comput Biol 2009 5 e1000606 20019804 PMC2787624
  30. [32]Ruiz LM Armengol G Habeych E Orduz S A theoretical analysis of codon adaptation index of the Boophilus microplus bm86 gene directed to the optimization of a DNA vaccine J Theor Biol 2006 239 445 9 16171828
  31. [33]Qin H Wu WB Comeron JM Kreitman M Li WH Intragenic spatial patterns of codon usage bias in prokaryotic and eukaryotic genomes Genetics 2004 168 2245 60 15611189 PMC1448744
  32. [34]Ramazzotti M Brilli M Fani R Manao G Degl’innocenti D The CAI Analyser Package: inferring gene expressivity from raw genomic data In Silico Biol 2007 7 507 26 18391240
  33. [35]Puigbo P Bravo IG Garcia-Vallve S CAIcal: a combined set of tools to assess codon usage adaptation Biol Direct 2008 3 38 18796141 PMC2553769
  34. [36]Cock PJ Whitworth DE Evolution of gene overlaps: relative reading frame bias in prokaryotic two-component system genes J Mol Evol 2007 64 457 62 17479344
  35. [37]Sorensen MA Kurland CG Pedersen S Codon usage determines translation rate in Escherichia coli J Mol Biol 1989 207 365 77 2474074
  36. [38]Kunisawa T Kanaya S Kutter E Comparison of synonymous codon distribution patterns of bacteriophage and host genomes DNA Res 1998 5 319 26 10048480
  37. [39]Lucks JB Nelson DR Kudla GR Plotkin JB Genome landscapes and bacteriophage codon usage PLoS Comput Biol 2008 4 e1000001 18463708 PMC2266997
  38. [40]Huang Y Koonin EV Lipman DJ Przytycka TM Selection for minimization of translational frameshifting errors as a factor in the evolution of codon usage Nucleic Acids Res 2009 37 6799 810 19745054 PMC2777431
  39. [41]Perriere G Thioulouse J Use and misuse of correspondence analysis in codon usage studies Nucleic Acids Res 2002 30 4548 55 12384602 PMC137129

Cited by

Sorted by citations

Authors
Lee, S., Weon, S., Lee, S., & Kang, C.
Affiliations
Korea Advanced Institute of Science and Technology (KR)
Corresponding author
Kang, Changwon
Venue
Evolutionary Bioinformatics
Published
2010-01
Volume
6
Pages
47-55
ISSN
1176-9343 (ISSN-L)
OpenAlex
W2082607332
Cited by
68
References
2
Citations by year
2026: 2 · 2025: 6 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 10 · 2020: 6 · 2019: 6 · 2018: 2 · 2017: 6 · 2016: 1 · 2015: 1 · 2014: 4 · 2013: 2 · 2012: 3
FWCI
0.65
Type
journal article
Language
en
Open access
Locations
  • Evolutionary Bioinformatics (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
Keywords
codon usage bias, codon adaptation index, synonymous codons, translation efficiency, protein abundance, effective number of codons, signal-to-noise ratio

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review