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

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.

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.

Claims the paper makes

35 of 53 cited sources checked · 22 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Codon context can influence translational elongation rates.

    “It is suggested that codon context biases are associated with translational efficiency, since codon context influences translational elongation rates [1].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [1] Irwin B, Heck JD, Hatfield GW: Codon pair utilization biases influence translational elongation step times. J Biol Chem. 1995, 270 (39): 22801-22806. 10.1074/jbc.270.39.22801. source
  • Premisecitation

    Codon context is more strongly related to translational efficiency than single codon usage.

    “Moreover, experimental results support the observation that codon context is more strongly related to translational efficiency than single codon usage [1].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [1] Irwin B, Heck JD, Hatfield GW: Codon pair utilization biases influence translational elongation step times. J Biol Chem. 1995, 270 (39): 22801-22806. 10.1074/jbc.270.39.22801. source
  • Premisecitation

    In five gamma proteobacteria, Bacillus subtilis and two yeasts, A-site codons decoded by the same tRNA have similar patterns of P-site codon pairing preference.

    “It has been shown that in five gamma proteobacteria, Bacillus subtilis and two yeasts, the A-site codons decoded by the same tRNA have similar patterns of P-site codon pairing preference [16].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [16] Buchan JR, Aucott LS, Stansfield I: tRNA properties help shape codon pair preferences in open reading frames. Nucleic Acids Res. 2006, 34 (3): 1015-1027. 10.1093/nar/gkj488. source
  • Premisecitation

    Mononucleotide repeats, especially poly(A) and poly(U) tracts, cause transcriptional and translational frameshifting.

    “Mononucleotide repeats, especially poly(A) and poly(U) tracts, are also known to cause transcriptional and translational frameshifting [8-10].”
    Quote in the paperSubstantial claim3 of 3 sources checked
    • cites [8] Baranov PV, Hammer AW, Zhou J, Gesteland RF, Atkins JF: Transcriptional slippage in bacteria: distribution in sequenced genomes and utilization in IS element gene expression. Genome Biol. 2005, 6 (3): R25-10.1186/gb-2005-6-3-r25. source

      The Background describes transcriptional slippage at a run of nine As, producing mRNAs with different reading frames. It also describes ribosomal frameshifting in E. coli, but does not establish that poly(A) or poly(U) tracts cause that translational frameshifting. The Discussion likewise supports transcriptional slippage on A and T runs, not both mechanisms. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites [9] Wagner LA, Weiss RB, Driscoll R, Dunn DS, Gesteland RF: Transcriptional slippage occurs during elongation at runs of adenine or thymine in Escherichia coli. Nucleic Acids Res. 1990, 18 (12): 3529-3535. 10.1093/nar/18.12.3529. source

      The title (p. 3529) identifies transcriptional slippage at runs of adenine or thymine in E. coli, supporting the transcriptional part of the claim. The available passage does not address translational frameshifting or establish the claim for mononucleotide repeats generally. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
    • cites [10] Gurvich OL, Baranov PV, Zhou J, Hammer AW, Gesteland RF, Atkins JF: Sequences that direct significant levels of frameshifting are frequent in coding regions of Escherichia coli. Embo J. 2003, 22 (21): 5941-5950. 10.1093/emboj/cdg561. source

      The A_AAA_AAG section reports ribosomal frameshifting at an A-rich sequence, and the CCC_UGA section reports frameshifting during translation at UUU_U/C. These support the translational part of the claim, but the paper does not establish that mononucleotide repeats cause transcriptional frameshifting. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Findingown data

    With one exception (codon pair UUUUUU and pattern UnnnnU), all sub-patterns contained a fixed nucleotide in the last position of the P-site codon in the codon pair.

    “Still, with one exception (codon pair UUUUUU and pattern UnnnnU), all sub-patterns contained a fixed nucleotide in the last position of the P-site codon in the codon pair.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. 22
  • May combine two claims. 21
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Certain heptanucleotides that are prone to frameshifts are under-represented in the coding sequences of Saccharomyces cerevisiae and Escherichia coli.

    “For example, it has been shown that certain heptanucleotides that are prone to frameshifts are under-represented in the coding sequences of Saccharomyces cerevisiae [15] and Escherichia coli [10].”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [15] Shah AA, Giddings MC, Parvaz JB, Gesteland RF, Atkins JF, Ivanov IP: Computational identification of putative programmed translational frameshift sites. Bioinformatics. 2002, 18 (8): 1046-1053. 10.1093/bioinformatics/18.8.1046. source
    • cites [10] Gurvich OL, Baranov PV, Zhou J, Hammer AW, Gesteland RF, Atkins JF: Sequences that direct significant levels of frameshifting are frequent in coding regions of Escherichia coli. Embo J. 2003, 22 (21): 5941-5950. 10.1093/emboj/cdg561. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The main selective effects on codon context are found in the nucleotides following the codon in the 3' direction.

    “The main selective effects on codon context are found in the nucleotides following the codon in the 3' direction [16,18,19,22].”
    Quote in the paperNot a substantial claim3 of 4 sources checked
    • cites [16] Buchan JR, Aucott LS, Stansfield I: tRNA properties help shape codon pair preferences in open reading frames. Nucleic Acids Res. 2006, 34 (3): 1015-1027. 10.1093/nar/gkj488. source

      The Discussion reports significant interactions between a codon’s third nucleotide (cP3) and nucleotides in the following A-site codon. But it calls cP3 itself cardinal to pairing frequencies, so it does not locate the main effects solely in nucleotides following the codon. No page number is available in our copy. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
    • cites [18] Berg OG, Silva PJ: Codon bias in Escherichia coli: the influence of codon context on mutation and selection. Nucleic Acids Res. 1997, 25 (7): 1397-1404. 10.1093/nar/25.7.1397. source
    • cites [19] Fedorov A, Saxonov S, Gilbert W: Regularities of context-dependent codon bias in eukaryotic genes. Nucleic Acids Res. 2002, 30 (5): 1192-1197. 10.1093/nar/30.5.1192. source
    • cites [22] Moura G, Pinheiro M, Arrais J, Gomes AC, Carreto L, Freitas A, Oliveira JL, Santos MA: Large scale comparative codon-pair context analysis unveils general rules that fine-tune evolution of mRNA primary structure. PLoS ONE. 2007, 2 (9): e847-10.1371/journal.pone.0000847. source

      The Introduction (page unavailable) says the strongest neighboring-nucleotide influence arises from the interplay between a codon’s last nucleotide and the next codon’s first nucleotide. The Results section on genome and translation biases likewise finds that this pair discriminates codon-pair preferences. These passages support an important role for a nucleotide in the 3′ direction, but not the claim that the main effects reside in the following nucleotides alone. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Codons in combination with surrounding nucleotides can form mononucleotide repeats, which may cause transcriptional or translational slippage.

    “In addition, codons in combination with surrounding nucleotides can form mononucleotide repeats, which may cause transcriptional [8,9] or translational [10] slippage.”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites [8] Baranov PV, Hammer AW, Zhou J, Gesteland RF, Atkins JF: Transcriptional slippage in bacteria: distribution in sequenced genomes and utilization in IS element gene expression. Genome Biol. 2005, 6 (3): R25-10.1186/gb-2005-6-3-r25. source
    • cites [9] Wagner LA, Weiss RB, Driscoll R, Dunn DS, Gesteland RF: Transcriptional slippage occurs during elongation at runs of adenine or thymine in Escherichia coli. Nucleic Acids Res. 1990, 18 (12): 3529-3535. 10.1093/nar/18.12.3529. source

      The title (p. 3529) states that transcriptional slippage occurs at runs of adenine or thymine, supporting the transcriptional-slippage part of the claim. The available passage does not say that codons combine with surrounding nucleotides to form those runs. The separate citation for translational slippage is not being judged here. (LLM, conf=0.77)

      Experimental — accuracy not yet measured
    • cites [10] Gurvich OL, Baranov PV, Zhou J, Hammer AW, Gesteland RF, Atkins JF: Sequences that direct significant levels of frameshifting are frequent in coding regions of Escherichia coli. Embo J. 2003, 22 (21): 5941-5950. 10.1093/emboj/cdg561. source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Codon context can influence both mis-sense and nonsense suppression.

    “Codon context can influence both mis-sense and nonsense suppression [2-7].”
    Quote in the paperNot a substantial claim2 of 6 sources checked
    • cites [2] Murgola EJ, Pagel FT, Hijazi KA: Codon context effects in missense suppression. J Mol Biol. 1984, 175 (1): 19-27. 10.1016/0022-2836(84)90442-X. source
    • cites [3] Bossi L, Ruth JR: The influence of codon context on genetic code translation. Nature. 1980, 286 (5769): 123-127. 10.1038/286123a0. source
    • cites [4] Miller JH, Albertini AM: Effects of surrounding sequence on the suppression of nonsense codons. J Mol Biol. 1983, 164 (1): 59-71. 10.1016/0022-2836(83)90087-6. source
    • cites [5] Kopelowitz J, Hampe C, Goldman R, Reches M, Engelberg-Kulka H: Influence of codon context on UGA suppression and readthrough. J Mol Biol. 1992, 225 (2): 261-269. 10.1016/0022-2836(92)90920-F. source
    • cites [6] Stormo GD, Schneider TD, Gold L: Quantitative analysis of the relationship between nucleotide sequence and functional activity. Nucleic Acids Res. 1986, 14 (16): 6661-6679. 10.1093/nar/14.16.6661. source

      The available copy contains an abstract and a selected-reference list, but no body text to assess the claim. Searches for mis-sense and nonsense suppression and for context effects on suppression by su2 found no passage in the paper’s body addressing both; the decisive full-text discussion may be missing from the indexed copy. (LLM, conf=0.73)

      Experimental — accuracy not yet measured
    • cites [7] Curran JF, Poole ES, Tate WP, Gross BL: Selection of aminoacyl-tRNAs at sense codons: the size of the tRNA variable loop determines whether the immediate 3' nucleotide to the codon has a context effect. Nucleic Acids Res. 1995, 23 (20): 4104-4108. 10.1093/nar/23.20.4104. source

      The Abstract reports that the nucleotide following a codon can affect translation by amber suppressors and describes a re-examination of amber-suppression data, supporting the nonsense-suppression part. The study measures tRNA selection at sense codons, but the supplied text does not report an effect on missense suppression; that topic appears only in a Selected References title. No page numbers are available in our copy. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
  • Classified as probably not a substantial claim.

    Premisecitation

    Effects of codon context are influenced by physical interactions between tRNA isoacceptors in the ribosomal P- and A-sites.

    “Previous studies suggest that the effects of codon context are influenced by the physical interactions between tRNA isoacceptors in the ribosomal P- and A-sites [1,16,23].”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites [1] Irwin B, Heck JD, Hatfield GW: Codon pair utilization biases influence translational elongation step times. J Biol Chem. 1995, 270 (39): 22801-22806. 10.1074/jbc.270.39.22801. source
    • cites [16] Buchan JR, Aucott LS, Stansfield I: tRNA properties help shape codon pair preferences in open reading frames. Nucleic Acids Res. 2006, 34 (3): 1015-1027. 10.1093/nar/gkj488. source
    • cites [23] Smith D, Yarus M: tRNA-tRNA interactions within cellular ribosomes. Proc Natl Acad Sci USA. 1989, 86 (12): 4397-4401. 10.1073/pnas.86.12.4397. source
  • Classified as probably not a substantial claim.

    Premisecitation

    Specific preferred or avoided nucleotide patterns differ among species.

    “It has been found that the specific preferred or avoided nucleotide patterns differ among species [16,22].”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [16] Buchan JR, Aucott LS, Stansfield I: tRNA properties help shape codon pair preferences in open reading frames. Nucleic Acids Res. 2006, 34 (3): 1015-1027. 10.1093/nar/gkj488. source
    • cites [22] Moura G, Pinheiro M, Arrais J, Gomes AC, Carreto L, Freitas A, Oliveira JL, Santos MA: Large scale comparative codon-pair context analysis unveils general rules that fine-tune evolution of mRNA primary structure. PLoS ONE. 2007, 2 (9): e847-10.1371/journal.pone.0000847. source
  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).

    Premisecitation

    Codon context is even more important than single codon usage for translational efficiency.

    “It has been proposed that codon context is even more important than single codon usage for translational efficiency [1].”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [1] Irwin B, Heck JD, Hatfield GW: Codon pair utilization biases influence translational elongation step times. J Biol Chem. 1995, 270 (39): 22801-22806. 10.1074/jbc.270.39.22801. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Species-specific combinations of three consecutive codons are highly biased among fungal species, even reaching complete vanishing of certain combinations.

    “It was shown recently that the species specific combinations of three consecutive codons are highly biased among fungal species and even reaching to the complete vanishing of certain combinations [27].”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [27] Moura GR, Lousado JP, Pinheiro M, Carreto L, Silva RM, Oliveira JL, Santos MA: Codon-triplet context unveils unique features of the Candida albicans protein coding genome. BMC Genomics. 2007, 8: 444-10.1186/1471-2164-8-444. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    E-site occupation is essential for preventing frameshift.

    “In addition, it has been confirmed that E-site occupation is essential for preventing frameshift [24-26].”
    Quote in the paperNot a substantial claim2 of 3 sources checked
    • cites [24] Marquez V, Wilson DN, Tate WP, Triana-Alonso F, Nierhaus KH: Maintaining the ribosomal reading frame: the influence of the E site during translational regulation of release factor 2. Cell. 2004, 118 (1): 45-55. 10.1016/j.cell.2004.06.012. source
    • cites [25] Trimble MJ, Minnicus A, Williams KP: tRNA slippage at the tmRNA resume codon. Rna. 2004, 10 (5): 805-812. 10.1261/rna.7010904. source

      In “Correlation of P-site slippage with unusual E-site filling” (page not provided), the paper proposes that E-site tRNA may help prevent P-site slippage. It presents this as a possibility that could explain frameshifting at the tmRNA resume codon, not as confirmation that E-site occupation is essential for preventing frameshifts. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites [26] Geigenmuller U, Nierhaus KH: Significance of the third tRNA binding site, the E site, on E. coli ribosomes for the accuracy of translation: an occupied E site prevents the binding of non-cognate aminoacyl-tRNA to the A site. Embo J. 1990, 9 (13): 4527-4533. source

      The section on cognate E-site occupation reports that it prevents non-cognate aminoacyl-tRNA from interfering with A-site decoding. Neither that section nor passages retrieved for frameshifting and reading-frame maintenance address whether E-site occupation is essential to prevent frameshifts. (LLM, conf=0.74)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The only universal context selection rule found to cover all three domains of life was the avoidance of most codon pairs of the nnUAnn type, which was suggested to result from rejection of TA dinucleotides in DNA sequences.

    “Previously, the only universal context selection rule found to cover all three domains of life was the avoidance of most codon pairs of the nnUAnn type, which was suggested to result from rejection of TA dinucleotides in DNA sequences [22].”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [22] Moura G, Pinheiro M, Arrais J, Gomes AC, Carreto L, Freitas A, Oliveira JL, Santos MA: Large scale comparative codon-pair context analysis unveils general rules that fine-tune evolution of mRNA primary structure. PLoS ONE. 2007, 2 (9): e847-10.1371/journal.pone.0000847. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Codon pair preferences can be shaped by decrease of frameshifting errors through avoidance of mononucleotide repeats.

    “One is the possible decrease of frameshifting errors through avoidance of mononucleotide repeats [8-10].”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites [8] Baranov PV, Hammer AW, Zhou J, Gesteland RF, Atkins JF: Transcriptional slippage in bacteria: distribution in sequenced genomes and utilization in IS element gene expression. Genome Biol. 2005, 6 (3): R25-10.1186/gb-2005-6-3-r25. source

      The Results section reports that A/T runs are avoided in some prokaryotic coding regions, and the Discussion links their underrepresentation to slippage and possible frameshift errors. The paper does not establish that this avoidance shapes codon-pair preferences specifically; it also says it cannot distinguish transcriptional from replication-level slippage. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
    • cites [9] Wagner LA, Weiss RB, Driscoll R, Dunn DS, Gesteland RF: Transcriptional slippage occurs during elongation at runs of adenine or thymine in Escherichia coli. Nucleic Acids Res. 1990, 18 (12): 3529-3535. 10.1093/nar/18.12.3529. source

      The available passage (title, p. 3529) says that transcriptional slippage occurs at runs of adenine or thymine in E. coli, supporting the connection between nucleotide repeats and slippage. It does not say that avoiding those repeats decreases frameshifting errors or shapes codon-pair preferences; searches for those terms returned no further passages. (LLM, conf=0.72)

      Experimental — accuracy not yet measured
    • cites [10] Gurvich OL, Baranov PV, Zhou J, Hammer AW, Gesteland RF, Atkins JF: Sequences that direct significant levels of frameshifting are frequent in coding regions of Escherichia coli. Embo J. 2003, 22 (21): 5941-5950. 10.1093/emboj/cdg561. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Codon context might be influenced by certain structural constraints imposed by two tRNAs occupying the ribosomal P- and A-sites.

    “In addition, it has been suggested that codon context might be influenced by certain structural constraints imposed by two tRNAs occupying the ribosomal P- and A-sites [1,16,23].”
    Quote in the paperNot a substantial claim2 of 3 sources checked
    • cites [1] Irwin B, Heck JD, Hatfield GW: Codon pair utilization biases influence translational elongation step times. J Biol Chem. 1995, 270 (39): 22801-22806. 10.1074/jbc.270.39.22801. source
    • cites [16] Buchan JR, Aucott LS, Stansfield I: tRNA properties help shape codon pair preferences in open reading frames. Nucleic Acids Res. 2006, 34 (3): 1015-1027. 10.1093/nar/gkj488. source
    • cites [23] Smith D, Yarus M: tRNA-tRNA interactions within cellular ribosomes. Proc Natl Acad Sci USA. 1989, 86 (12): 4397-4401. 10.1073/pnas.86.12.4397. source
  • Classified as probably not a substantial claim.

    Premisecitation

    The E-site tRNA can influence decoding in the A-site.

    “It has been shown that the E-site tRNA can influence decoding in the A-site [24-26].”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites [24] Marquez V, Wilson DN, Tate WP, Triana-Alonso F, Nierhaus KH: Maintaining the ribosomal reading frame: the influence of the E site during translational regulation of release factor 2. Cell. 2004, 118 (1): 45-55. 10.1016/j.cell.2004.06.012. source
    • cites [25] Trimble MJ, Minnicus A, Williams KP: tRNA slippage at the tmRNA resume codon. Rna. 2004, 10 (5): 805-812. 10.1261/rna.7010904. source

      In “Correlation of P-site slippage with unusual E-site filling” (page unavailable), the paper proposes that E-site tRNA may stabilize codon–anticodon pairing in the P site. It does not show that E-site tRNA influences decoding in the A site; its A-site discussion concerns how slow decoding may allow P-site slippage. (LLM, conf=0.79)

      Experimental — accuracy not yet measured
    • cites [26] Geigenmuller U, Nierhaus KH: Significance of the third tRNA binding site, the E site, on E. coli ribosomes for the accuracy of translation: an occupied E site prevents the binding of non-cognate aminoacyl-tRNA to the A site. Embo J. 1990, 9 (13): 4527-4533. source
  • Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing).

    Premisecitation

    Codon context is even more important than codon usage for translational efficiency.

    “It has been proposed that codon context is even more important than codon usage for translational efficiency [1].”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [1] Irwin B, Heck JD, Hatfield GW: Codon pair utilization biases influence translational elongation step times. J Biol Chem. 1995, 270 (39): 22801-22806. 10.1074/jbc.270.39.22801. source
  • Classified as probably not a substantial claim.

    Premisecitation

    The usage of three neighbouring codons is species specific among fungi.

    “It was shown that the usage of three neighbouring codons is species specific among fungi [27].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [27] Moura GR, Lousado JP, Pinheiro M, Carreto L, Silva RM, Oliveira JL, Santos MA: Codon-triplet context unveils unique features of the Candida albicans protein coding genome. BMC Genomics. 2007, 8: 444-10.1186/1471-2164-8-444. source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    In fungi, combinations of three consecutive codons are biased and some combinations are even vanished from the ORFeomes.

    “In addition, it was shown in fungi that the combinations of three consecutive codons are biased and some combinations are even vanished from the ORFeomes [27].”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [27] Moura GR, Lousado JP, Pinheiro M, Carreto L, Silva RM, Oliveira JL, Santos MA: Codon-triplet context unveils unique features of the Candida albicans protein coding genome. BMC Genomics. 2007, 8: 444-10.1186/1471-2164-8-444. source
  • May combine two claims.

    Findingown data

    The most conserved preferred codon pair, GGGCUU, was over-represented in 76% of the organisms studied and belonged to Type 1P.

    “The most conserved preferred codon pair, GGGCUU, was over-represented in 76% of the organisms studied and also belonged to Type 1P.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Even in the standardized sample, most other genomes showed bias in 5-15% codon pairs, whereas B. aphidicola and C. blochmannia had only 1.5% and 1.7% biased codons respectively.

    “Even in the standardized sample, most other genomes showed bias in 5–15% codon pairs, whereas B. aphidicola and C. blochmannia had only 1.5% and 1.7% biased codons respectively.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    All three type 1A codon pairs that did not contain out-frame UAA or UAG began with GGUA and did not show strong avoidance on the ORFeome level.

    “All three began with GGUA and did not show strong avoidance on the ORFeome level.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    On average, nnUAnn codon pairs are more frequently avoided in ORFeomes than in genomes; 75.7% of avoided nnUAnn pairs were more strongly avoided in the ORFeome.

    “On average, nnUAnn codon pairs are more frequently avoided in ORFeomes than in genomes.”
    • Also stated in: § Under-represented codon pairs can be divided into 9 major types · plain
      “Among the avoided nnUAnn codon pairs, 75.7% were more strongly avoided on average in the ORFeome than in the genome (Table 2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Eukaryotes showed different patterns, being spread around the codon usage tree, but clustered together in the codon context tree.

    “In contrast, eukaryotes showed different patterns, being spread around the codon usage tree (Figure 6A), but clustered together in the codon context tree (Figure 6B).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Although phylogenetically very close species tend to have similar codon pair usage, no major phylogenetic group-specific distribution was observed.

    “Although phylogenetically very close species tend to have similar codon pair usage, no major phylogenetic group-specific distribution was observed.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    UUUUUU was clearly avoided in ORFeomes but was significantly preferred at the genome level.

    “UUUUUU was clearly avoided in ORFeomes but was significantly preferred at the genome level (Table 2).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    The second most abundant type of conserved avoided codon pair was nnGnnC (type 2A), which was more strongly avoided in ORFeomes than in genomes.

    “The second most abundant type of conserved avoided codon pair was nnGnnC (type 2A), which was more strongly avoided in ORFeomes than in genomes.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    For codons 1-3, only one codon pair with significant bias - GGUnnnGGU - was over-represented in 61% of the organisms studied.

    “However, for codons 1–3 we found only one codon pair with significant bias – GGUnnnGGU – which was over-represented in 61% of the organisms studied.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Only one conserved 1-3 interaction was observed, over-representation of the pattern GGUnnnGGU.

    “We observed only one conserved 1–3 interaction, over-representation of the pattern GGUnnnGGU”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The repeated nucleotide in those eight mononucleotide repeats was G (GGGGGG, GGGGGU, GGGGGC and GGGGCC), C (ACCCCG, ACCCCA and GCCCCG) or U (UUUUUU).

    “The repeated nucleotide was G (GGGGGG, GGGGGU, GGGGGC and GGGGCC), C (ACCCCG, ACCCCA and GCCCCG) or U (UUUUUU) [Additional file 4].”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Frameshifting errors are rare in most sequences, occurring with a frequency less than once every 10,000 codons.

    “Nevertheless, frameshifting errors are rare events in most sequences, occurring with a frequency less than once every 10,000 codons [14].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [14] Kurland CG: Translational accuracy and the fitness of bacteria. Annu Rev Genet. 1992, 26: 29-50. source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Frameshift errors on 'hungry' codons in specific nucleotide contexts increase under starvation conditions.

    “Frameshift errors on 'hungry' codons in specific nucleotide contexts also increase under starvation conditions [11].”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [11] Lindsley D, Gallant J: On the directional specificity of ribosome frameshifting at a "hungry" codon. Proc Natl Acad Sci USA. 1993, 90 (12): 5469-5473. 10.1073/pnas.90.12.5469. source
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    The reduced frequency of occurrence of trimers in genomic regions where they overlap ORFs was taken into account when determining the ratio of observed to expected co-occurrences of trimers in genomes.

    “This reduced frequency of occurrence was taken into account when the ratio of observed to expected co-occurrences of trimers in genomes was determined.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    The ribosome does not contact the bases of the codon in the P-site.

    “As the ribosome does not contact the bases of the codon in the P-site [29]”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [29] Korostelev A, Trakhanov S, Laurberg M, Noller HF: Crystal structure of a 70S ribosome-tRNA complex reveals functional interactions and rearrangements. Cell. 2006, 126 (6): 1065-1077. 10.1016/j.cell.2006.08.032. source
  • May combine two claims.

    Study design and conductreasoning

    Comparison of codon pair effects in +1 and +2 reading frames is biased and incorrect because single codon or amino acid preferences cannot be effectively removed, so the study compared effects in the ORFeome and genome instead.

    “Thus, we consider the comparison of effects in +1 and +2 reading frames biased and incorrect, so we compare the effects in the ORFeome and genome instead.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductown data

    The sample used for eukaryotes is not representative since it is small and contains only one mammal.

    “Still, it has to be noted that the sample we used for eukaryotes is not representative since it is small and contains only one mammal.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductreasoning

    Z-scores make sub-patterns of different lengths more comparable to each other and can be used to identify the sub-pattern level on which the effect is strongest.

    “Z-scores make sub-patterns of different lengths more comparable to each other and can be used to identify the sub-pattern level on which the effect is strongest.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Although most organisms have a similar set of universally conserved biased codon pairs, some organisms use slightly different sets (e.g. N. equitans) and some have a very small number of biased codon pairs (e.g. B. aphidicola, C. blochmannia).

    “Although most organisms have a similar set of universally conserved biased codon pairs, some organisms use slightly different sets (e.g. N. equitans) and some have a very small number of biased codon pairs (e.g. B. aphidicola, C. blochmannia).”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    We used no multiple correction methods at this point.

    “We used no multiple correction methods at this point.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The reason for avoiding the codon pairs containing out-frame stops could be to minimize premature translational termination through recognition of those stops by a translation termination factor.

    “The reason for avoiding the codon pairs containing out-frame stops could be to minimize premature translational termination through recognition of those stops by a translation termination factor.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Avoidance of UA dinucleotides is also important for ORFs and effective translation.

    “However, although TA dinucleotides could be avoided at the genome level, this would not exclude the possibility that avoidance of UA dinucleotides is also important for ORFs and effective translation.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Selection for more effective and more accurate translation acts primarily through avoidance of the most disadvantageous codon pairs and not through over-representation of the most suitable contexts.

    “This suggests that the selection for more effective and more accurate translation acts primarily through avoidance of the most disadvantageous codon pairs and not through over-representation of the most suitable contexts.”
    Quote in the paperSubstantial claim
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.

  • Stated z-score does not measure divergence from the mean

    Minor

    The description says the score measures divergence from the mean in standard-deviation units, but the displayed formula divides the log ratio by the standard deviation without subtracting the mean.

  • Discussion reverses which usage tree has shorter branches

    Minor

    The Discussion says the codon-pair tree has shorter branches, whereas the Results and Figure 6 caption say the single-codon (RSCU) tree has shorter branches.

  • Table 4 labels preferred pairs as avoided pairs

    Minor

    The column heading says its percentages are among avoided pairs, but the table describes preferred patterns and its note says the denominator is all conserved preferred codon pairs.

  • Figure 1 uses zero as the no-bias observed/expected ratio

    Minor

    Figure 1 assigns ratios below zero to avoided pairs and zero to unbiased pairs. Elsewhere, the paper uses ratios below 0.9 for avoidance and above 1.1 for preference; an observed/expected count ratio also cannot be negative.

4 of 4

Cites

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Cited by

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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

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.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-12.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-12.

Cited sources are checked by gpt-6-sol.

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.

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