Cited by 121RNA and protein synthesis mechanismsGenomics and Phylogenetic StudiesEvolution and Genetic Dynamics

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index; 35 of the 53 sources its claims cite were checked for support.

Preferred and avoided codon pairs in three domains of life

Open access
Tats, Age, Tenson, Tanel, Remm, Maido·2008·BMC Genomics

Abstract

Background: Alternative synonymous codons are not used with equal frequencies. In addition, the contexts of codons – neighboring nucleotides and neighboring codons – can have certain patterns. The codon context can influence both translational accuracy and elongation rates. However, it is not known how strong or conserved the codon context preferences in different organisms are. We analyzed 138 organisms (bacteria, archaea and eukaryotes) to find conserved patterns of codon pairs. Results: After removing the effects of single codon usage and dipeptide biases we discovered a set of neighboring codons for which avoidances or preferences were conserved in all three domains of life. Such biased codon pairs could be divided into subtypes on the basis of the nucleotide patterns that influence the bias. The most frequently avoided type of codon pair was nnUAnn. We discovered that 95.7% of avoided nnUAnn type patterns contain out-frame UAA or UAG triplets on the sense and/or antisense strand. On average, nnUAnn codon pairs are more frequently avoided in ORFeomes than in genomes. Thus we assume that translational selection plays a major role in the avoidance of these codon pairs. Among the preferred codon pairs, nnGCnn was the major type. Conclusion: Translational selection shapes codon pair usage in protein coding sequences by rules that are common to all three domains of life. The most frequently avoided codon pairs contain the patterns nnUAnn, nnGGnn, nnGnnC, nnCGCn, GUCCnn, CUCCnn, nnCnnA or UUCGnn. The most frequently preferred codon pairs contain the patterns nnGCnn, nnCAnn or nnUnCn.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Analyzing 138 organisms from bacteria, archaea, and eukaryotes, this study identifies conserved preferred and avoided neighboring codon pairs after removing single-codon and dipeptide biases. The biases are generally stronger in ORFeomes than in genomes, implicating translational selection, with nnUAnn avoidance and nnGCnn preference as major conserved patterns.

Key findings

  • Of 288 conserved biased neighboring codon pairs, 207 were avoided and 81 were preferred; for more distant pairs, only GGUnnnGGU (1–3) was conserved, over-represented in 61% of organisms, and no conserved biases were found for 1–4 or 1–5 pairs.
  • The most abundant avoided type was nnUAnn (33.8% of avoided pairs); 75.7% of nnUAnn pairs were more strongly avoided in ORFeomes than genomes, and 95.7% (67/70) contained out-frame UAA or UAG triplets on the sense and/or antisense strand. The most conserved avoided pair was UUCGCA, under-represented in 86% of organisms.
  • The most abundant preferred type was nnGCnn (21.0% of preferred pairs); all major preferred types were more strongly over-represented in ORFeomes than genomes. The most conserved preferred pair was GGGCUU, over-represented in 76% of organisms.
  • Conserved biased pairs were uniformly distributed across the three domains, though five genomes were atypical; Buchnera aphidicola and Candidatus blochmannia pensilvanicus had bias in only 2.0% and 2.3% of codon pairs versus an average 37.7%, and even in standardized samples only 1.5% and 1.7%.

Methods

  • The dataset comprised 138 organisms: 103 bacteria, 28 archaea, and 7 eukaryotes (six fungi and human); standardized genomes were built by randomly sampling 150,000 ± 1000 codon pairs.
  • Observed counts were calculated for all 61 × 64 = 3904 sense:sense and sense:stop codon pairs; expected ORFeome values were normalized to dipeptide frequencies, while genome expected values used trinucleotide frequencies, with correction for out-frame UAA/UAG triplets.
  • Biased pairs were tested with two-tailed Fisher’s exact test (p ≤ 0.01; observed/expected ≤ 0.9 or ≥ 1.1) and marked conserved if significantly biased in at least 51% of organisms; z-scores compared sub-patterns, and RSCU/RDCU correlations and trees assessed evolutionary conservation.

Limitations

  • The authors state that the eukaryotic sample is not representative because it is small and contains only one mammal.
  • The authors state that no multiple correction methods were used at this point in the significance testing.
  • Evident from the text: the conserved-bias criterion requires bias in more than 50% of organisms, so lineage-specific or rare biases are not captured; the authors note that some organisms use different sets of biased codon pairs or have very few biased pairs.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1186/1471-2164-9-463

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 The most avoided and the most preferred codon pairs are uniformly distributed in all three domains of life. The map is clustered on the basis of the conservation of avoidance and preference of different codon pairs. The avoided codon pairs are marked in yellow (obs/exp < 0). The preferred codon pairs are marked in blue (obs/exp > 0). Codon pairs without bias are black (obs/exp = 0). No additional criteria were applied to the figure. Codon pairs are ranked downwards according to the decreasing conservation of avoided codon pairs in the organisms studied. B – bacteria, A – archaea, E – eukaryotes.
Figure 1 The most avoided and the most preferred codon pairs are uniformly distributed in all three domains of life. The map is clustered on the basis of the conservation of avoidance and preference of different codon pairs. The avoided codon pairs are marked in yellow (obs/exp < 0). The preferred codon pairs are marked in blue (obs/exp > 0). Codon pairs without bias are black (obs/exp = 0). No additional criteria were applied to the figure. Codon pairs are ranked downwards according to the decreasing conservation of avoided codon pairs in the organisms studied. B – bacteria, A – archaea, E – eukaryotes.CC BY · PubMed Central
Figure 2 The distribution of the top ten significantly under-represented and the top ten significantly over-represented codon pairs in the organisms studied. The colored cells mark significant bias of the pattern in the corresponding organisms (observed/expected ≤ 0.90 (yellow) or observed/expected ≥ 1.10 (blue), p-value ≤ 0.01). Names of organisms with fewer than five biased codon pairs out of 20 are colored red. The percentages of biased codon pairs in full genomes and in standardized genomes and genome sizes are also shown. Yellow shaded cells – less than 10% of biased codon pairs in full genomes; less than 5% of biased codon pairs in standardized genomes; genomes smaller than 2 Mb. st. genome – standardized genome.
Figure 2 The distribution of the top ten significantly under-represented and the top ten significantly over-represented codon pairs in the organisms studied. The colored cells mark significant bias of the pattern in the corresponding organisms (observed/expected ≤ 0.90 (yellow) or observed/expected ≥ 1.10 (blue), p-value ≤ 0.01). Names of organisms with fewer than five biased codon pairs out of 20 are colored red. The percentages of biased codon pairs in full genomes and in standardized genomes and genome sizes are also shown. Yellow shaded cells – less than 10% of biased codon pairs in full genomes; less than 5% of biased codon pairs in standardized genomes; genomes smaller than 2 Mb. st. genome – standardized genome.CC BY · PubMed Central
Figure 3 The distribution of the top ten significantly under-represented and the top ten significantly over-represented codon pairs in the organisms studied (continuation of Figure 2). The colored cells mark significant bias of the pattern in the corresponding organisms (observed/expected ≤ 0.90 (yellow) or observed/expected ≥ 1.10 (blue), p-value ≤ 0.01). Names of organisms having fewer than five biased codon pairs out of 20 are colored green. The percentages of biased codon pairs in full genomes and in standardized genomes and genome sizes are also shown. Yellow shaded cells – less than 10% of biased codon pairs in full genomes; less than 5% of biased codon pairs in standardized genomes; genomes smaller than 2 Mb. st. genome – standardized genome.
Figure 3 The distribution of the top ten significantly under-represented and the top ten significantly over-represented codon pairs in the organisms studied (continuation of Figure 2). The colored cells mark significant bias of the pattern in the corresponding organisms (observed/expected ≤ 0.90 (yellow) or observed/expected ≥ 1.10 (blue), p-value ≤ 0.01). Names of organisms having fewer than five biased codon pairs out of 20 are colored green. The percentages of biased codon pairs in full genomes and in standardized genomes and genome sizes are also shown. Yellow shaded cells – less than 10% of biased codon pairs in full genomes; less than 5% of biased codon pairs in standardized genomes; genomes smaller than 2 Mb. st. genome – standardized genome.CC BY · PubMed Central
Figure 4 The effect of genome size on the fraction of biased codon pairs. A – the percentage of biased codon pairs in full bacterial genomes. B – the percentage of biased codon pairs in standardized bacterial genomes. Green diamonds – Aeropyrum pernix, Methanopyrus kandleri and Nanoarchaeum equitans. Red diamonds – Buchnera aphidicola and Candidatus blochmannia pensilvanicus.
Figure 4 The effect of genome size on the fraction of biased codon pairs. A – the percentage of biased codon pairs in full bacterial genomes. B – the percentage of biased codon pairs in standardized bacterial genomes. Green diamonds – Aeropyrum pernix, Methanopyrus kandleri and Nanoarchaeum equitans. Red diamonds – Buchnera aphidicola and Candidatus blochmannia pensilvanicus.CC BY · PubMed Central
Figure 5 Correlation of codon usage and codon context usage in bacteria. RSCU – relative synonymous codon usage; 1–2 – neighboring codon pairs; 1–3 – codons separated by one intervening codon; 1–4 – codons separated by two intervening codons; 1–10 – codons separated by eight intervening codons. Evolutionary distances between bacteria were retrieved as a 16SRNA distance matrix from the Ribosomal Database Project [28]. ρ2 – Spearman's correlation coefficient.
Figure 5 Correlation of codon usage and codon context usage in bacteria. RSCU – relative synonymous codon usage; 1–2 – neighboring codon pairs; 1–3 – codons separated by one intervening codon; 1–4 – codons separated by two intervening codons; 1–10 – codons separated by eight intervening codons. Evolutionary distances between bacteria were retrieved as a 16SRNA distance matrix from the Ribosomal Database Project [28]. ρ2 – Spearman's correlation coefficient.CC BY · PubMed Central
Figure 6 The evolutionary conservation of RSCU (A) and RDCU (B) in the genomes studied. The branch lengths characterize the correlation of RSCU or RDCU usage between two organisms – the higher the correlation, the shorter the branch. In general, the branch lengths of the RSCU tree are shorter than those of the RDCU tree, showing stronger similarity of codon usage than codon pair usage between different organisms. Bacilli, gamma-proteobacteria and alpha-proteobacteria form very similar clusters on both trees. Eukaryotes, which are spread around the RSCU tree, are all clustered together in the RDCU tree. For the full names of organisms see [additional file 6].
Figure 6 The evolutionary conservation of RSCU (A) and RDCU (B) in the genomes studied. The branch lengths characterize the correlation of RSCU or RDCU usage between two organisms – the higher the correlation, the shorter the branch. In general, the branch lengths of the RSCU tree are shorter than those of the RDCU tree, showing stronger similarity of codon usage than codon pair usage between different organisms. Bacilli, gamma-proteobacteria and alpha-proteobacteria form very similar clusters on both trees. Eukaryotes, which are spread around the RSCU tree, are all clustered together in the RDCU tree. For the full names of organisms see [additional file 6].CC BY · PubMed Central

Verification

Claims the paper makes

64 Own result · 33 Own interpretation · 13 No basis given · 11 Supported · 7 Partly supported · 7 Own method · 5 No full text of the sources · 2 Supported so far · accuracy not yet measured

Show all 103 claims

  • Probably not a substantial claim. 22
  • It may state two separate claims as one. 21
39 of 39
  • The paper relies on this without support.

    It is not known how strong or conserved the codon context preferences in different organisms are.

    “However, it is not known how strong or conserved the codon context preferences in different organisms are.”
  • The paper relies on this without support.

    The structure and function of the ribosomal decoding centre are highly conserved in evolution.

    “Since the structure and function of the ribosomal decoding centre are highly conserved in evolution, we could expect that avoidance of and preference for certain sequence contexts would also be conserved in the protein coding sequences of different organisms.”
  • The paper relies on this without support.

    If the main selective force for codon pair usage were related to translational effects at the ribosome and not to biases in mechanisms operating at DNA level, the codon pair bias would be stronger in ORFeomes than in genomes.

    “If the main selective force for codon pair usage were related to translational effects at the ribosome and not to biases in mechanisms operating at DNA level, the codon pair bias would be stronger in ORFeomes than in genomes.”
  • The paper relies on this without support.

    The low number of significantly biased codon pairs in small genomes is not caused by statistical limitations.

    “This is not caused by statistical limitations on finding biased codon pairs in smaller genomes, but rather by the absence of codon-pair bias in those organisms.”
4 of 4

Self-check

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

Each contradiction between two passages listed here was confirmed by an independent check.

4 of 4

Citations

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Metadata

Authors
Tats, A., Tenson, T., & Remm, M.
Affiliations
  • University of Tartu (EE)
  • Estonian Biocentre (EE)
Corresponding author
Remm, Maido
Venue
BMC Genomics
Published
2008-10-08
Volume
9
Issue
1
Pages
463-463
ISSN
1471-2164 (ISSN-L)
OpenAlex
W2151373788
Cited by
112
References
40
Citations by year
2026: 1 · 2025: 2 · 2024: 5 · 2023: 8 · 2022: 8 · 2021: 10 · 2020: 9 · 2019: 7 · 2018: 3 · 2017: 14 · 2016: 7 · 2015: 8 · 2014: 8 · 2013: 4 · 2012: 8
FWCI
1.12
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • BMC Genomics (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • Wellcome Trust (070210)
  • European Regional Development Fund
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 context, synonymous codons, translational selection, codon preference, three domains of life, bacteria, archaea, eukaryotes, stop codon, ORFeome, protein-coding sequences
MeSH terms
Animals, Archaea, Bacteria, Codon, Fungi, Genetic Code, Humans, Models, Genetic, Phylogeny, Selection, Genetic, Genome, Human, Open Reading Frames, Genome, Bacterial, Genome, Fungal, Evolution, Molecular, Genome, Archaeal

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