Preferred and avoided codon pairs in three domains of life
Open accessAbstract
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.
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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.
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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
- Findingnone given
All different preferred sub-patterns that caused codon pair preferences contained a fixed last nucleotide of the P-site codon in the pair.
“As in the conserved avoided codon pairs, all the different preferred sub-patterns that caused codon pair preferences contained a fixed last nucleotide of the P-site codon in the pair.”
Quote in the paperSubstantial claim - Findingown data
Some phylogenetic classes were similarly clustered in both trees, e.g. bacilli, gamma-proteobacteria and alpha-proteobacteria.
“Some were similarly clustered in both trees, e.g. bacilli, gamma-proteobacteria and alpha-proteobacteria.”
Quote in the paperSubstantial claim - Findingown data
The third type, type 3A, contained the pattern nnCGCn.
“The third type, type 3A contained the pattern nnCGCn.”
Quote in the paperNot a substantial claim - Findingnone given
UUCGCA contains several clearly avoided sub-patterns (UUCGnn, nnCGCn, nnCnnA).
“It is interesting to note that this codon pair contains several clearly avoided sub-patterns (UUCGnn, nnCGCn, nnCnnA).”
Quote in the paperNot a substantial claim - Findingown data
All major preferred types were more strongly over-represented in ORFeomes than in genomes.
“All the major types were more strongly over-represented in ORFeomes than in genomes, again indicating that the common preference of codon pairs that we detected is mainly influenced by translational mechanisms.”
Quote in the paperSubstantial claim - Findingown data
Four major preferred types can be described: nnGCnn, nnCAnn, nnUUnn and nnUnCn.
“Four major preferred types can be described: nnGCnn, nnCAnn, nnUUnn and nnUnCn (Table 4).”
Quote in the paperSubstantial claim - Findingown data
Genome size has a statistical effect on the number of biased codon pairs detected.
“The results show that genome size indeed has a statistical effect on the number of biased codon pairs detected.”
Quote in the paperSubstantial claim - Findingown data
Codon usage gives stronger similarity between different organisms than codon pair usage.
“Comparing the RSCU and RDCU trees, we observed that the branch lengths were shorter in the RSCU tree (Figure 6A) than in the RDCU (codons 1–2) tree (Figure 6B), showing that codon usage gives stronger similarity between different organisms than codon pair usage.”
- Also stated in: § Discussion · plain
“However, the comparison of RSCU and RDCU correlations showed that overall codon pair usage is less conserved than single codon usage (Figure 5).”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Some combinations of neighboring codons are similarly avoided or preferred in many different organisms - bacteria, archaea and eukaryotes.
“We found that some combinations of neighboring codons are similarly avoided or preferred in many different organisms – bacteria, archaea and eukaryotes.”
Quote in the paperSubstantial claim - Findingown data
95.7% of avoided nnUAnn type patterns contain out-frame UAA or UAG triplets on the sense and/or antisense strand.
“We discovered that 95.7% of avoided nnUAnn type patterns contain out-frame UAA or UAG triplets on the sense and/or antisense strand.”
- Also stated in: § Under-represented codon pairs can be divided into 9 major types · plain
“Including the antisense strand, almost all (67/70, 95.7%) of the nnUAnn type patterns contained UAA or UAG in -1 frame, although nnUAnn could code for other hexamers containing UAU and UAC in 25% of cases.”
Quote in the paperSubstantial claim - Also stated in: § Under-represented codon pairs can be divided into 9 major types · plain
- Findingown data
Genome size was not the reason why B. aphidicola and C. blochmannia have low numbers of biased codon pairs.
“However, the same figure also demonstrates that genome size was not the reason why B. aphidicola and C. blochmannia have low numbers of biased codon pairs.”
Quote in the paperSubstantial claim - Findingnone given
The genomes of B. aphidicola and C. blochmannia were among the smallest in the study.
“The genomes of B. aphidicola and C. blochmannia were also among the smallest in our study.”
Quote in the paperSubstantial claim - Findingown data
The avoided codon pairs can be divided into 9 major groups.
“The avoided codon pairs could be divided into 9 major groups (Table 2, [additional file 4]).”
Quote in the paperNot a substantial claim - Findingown data
The universal effect of nnUAnn avoidance is clearly visible in the human genome, where 77.1% of nnUAnn type pairs were more strongly avoided in the human ORFeome than in the genome.
“This universal effect is clearly visible in the human genome, where the nnUAnn type codon pairs were also less frequent than expected (77.1% of nnUAnn type pairs were more strongly avoided in the human ORFeome than in the genome).”
Quote in the paperSubstantial claim - Findingnone given
The most frequently preferred codon pairs contain the patterns nnGCnn, nnCAnn or nnUnCn.
“The most frequently preferred codon pairs contain the patterns nnGCnn, nnCAnn or nnUnCn.”
Quote in the paperSubstantial claim - Findingown data
The fraction of biased codon pairs leveled off after genome reduction.
“The fraction of biased codon pairs leveled off after genome reduction (Figure 4B).”
Quote in the paperSubstantial claim - Findingnone given
The most frequently avoided codon pairs contain the patterns nnUAnn, nnGGnn, nnGnnC, nnCGCn, GUCCnn, CUCCnn, nnCnnA or UUCGnn.
“The most frequently avoided codon pairs contain the patterns nnUAnn, nnGGnn, nnGnnC, nnCGCn, GUCCnn, CUCCnn, nnCnnA or UUCGnn.”
Quote in the paperSubstantial claim - Findingown data
The most frequently avoided type of codon pair is nnUAnn.
“The most frequently avoided type of codon pair was nnUAnn.”
- Also stated in: § Under-represented codon pairs can be divided into 9 major types · plain
“The most abundant types of under-represented pairs were nnUAnn (Type 1A).”
Quote in the paperSubstantial claim - Also stated in: § Under-represented codon pairs can be divided into 9 major types · plain
- Findingown data
Conserved biased codon pairs can be divided into subtypes on the basis of nucleotide patterns that influence the bias.
“Such biased codon pairs could be divided into subtypes on the basis of the nucleotide patterns that influence the bias.”
Quote in the paperSubstantial claim - Findingown data
The most avoided and the most preferred codon pairs are uniformly distributed across all three domains of life.
“It can be seen that the most avoided and the most preferred codon pairs are uniformly distributed across all three domains of life.”
Quote in the paperSubstantial claim - Findingown data
The conserved avoidances and preferences of codon pairs observed are not the result of dipeptide biases.
“The conserved avoidances and preferences of codon pairs observed are not the result of dipeptide biases since the effect of dipeptides was removed.”
Quote in the paperSubstantial claim - Findingown data
UUCGCA was similarly under-represented on both the ORFeome and genome levels.
“The observed/expected ratios of this pair in the ORFeome and genome indicated that UUCGCA was similarly under-represented on both the ORFeome and genome levels (Table 1).”
Quote in the paperNot a substantial claim - Findingown data
The most conserved avoided codon pair was UUCGCA (type 6A, UUCGnn), which was under-represented in 86% of the organisms studied.
“The most conserved avoided codon pair was UUCGCA (type 6A, UUCGnn), which was under-represented in 86% of the organisms studied.”
Quote in the paperSubstantial claim - Findingown data
The correlation of RSCU values was generally higher than the correlation of RDCU values.
“We observed that the correlation of RSCU values was generally higher than the correlation of RDCU values (Figure 5).”
Quote in the paperSubstantial claim - Findingown data
Five organisms showed significant bias in fewer than five of the top 20 codon pairs.
“Interestingly, five organisms showed significant bias in fewer than five of the top 20 codon pairs (Figures 2 and 3).”
Quote in the paperSubstantial claim - Findingown data
83% (58/70) of nnUAnn type patterns contained out-frame UAA and UAG triplets on the antisense strand.
“Interestingly, 83% (58/70) of the nnUAnn type patterns contained out-frame UAA and UAG triplets on the antisense strand.”
Quote in the paperSubstantial claim - Findingown data
207 codon pairs were avoided in the ORFs of more than half the organisms studied.
“We identified 207 codon pairs that were avoided in the ORFs of more than half the organisms studied (Table 1, [additional file 1]).”
Quote in the paperSubstantial claim - Findingnone given
Much of the dataset could be divided into subtypes on the basis of nucleotide patterns influencing the bias of codon pairs.
“Much of the dataset could be divided into subtypes on the basis of nucleotide patterns influencing the bias of codon pairs.”
Quote in the paperSubstantial claim - Findingown data
Buchnera aphidicola and Candidatus blochmannia pensilvanicus had bias in only 2.0% and 2.3% of codon pairs, respectively, compared to the average 37.7%.
“However, Buchnera aphidicola and Candidatus blochmannia pensilvanicus had bias in only 2.0% and 2.3% of codon pairs, respectively, as compared to the average 37.7% (Figure 2).”
Quote in the paperSubstantial claim - Findingown data
After removing the effects of single codon usage and dipeptide biases, a set of neighboring codon pairs has avoidances or preferences conserved in all three domains of life.
“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.”
- Also stated in: § Background · plain
“We show that certain codon context biases are conserved in the protein coding sequences of different species.”
Quote in the paperSubstantial claim - Also stated in: § Background · plain
- Findingown data
Extending the distance between two codons (1-3, 1-4, 1-10) decreased the RDCU correlation.
“Extending the distance between two codons (1–3, 1–4, 1–10) decreased the RDCU correlation.”
Quote in the paperSubstantial claim - Findingown data
Among preferred codon pairs, nnGCnn is the major type.
“Among the preferred codon pairs, nnGCnn was the major type.”
- Also stated in: § Over-represented codon pairs can be divided into 4 types · plain
“The most abundant type of conserved over-represented codon pair was nnGCnn (Type 1P).”
Quote in the paperNot a substantial claim - Also stated in: § Over-represented codon pairs can be divided into 4 types · plain
- Findingown data
Different patterns ranging from dinucleotides to hexanucleotides could explain conserved biased codon pair usage.
“However, our results showed that different patterns ranging from dinucleotides to hexanucleotides could explain conserved biased codon pair usage.”
Quote in the paperSubstantial claim - Findingnone given
Among different avoided sub-patterns causing conserved avoidance of codon pairs, the last nucleotide of the P-site codon in a pair was always fixed, with the exception of the pattern UnnnnU for codon pair UUUUUU.
“Interestingly, among the different avoided sub-patterns causing the conserved avoidance of codon pairs, the last nucleotide of the P-site codon in a pair was always fixed (the only exception was the pattern UnnnnU for codon pair UUUUUU).”
Quote in the paperNot a substantial claim - Findingown data
288 neighboring codon pairs were preferred or avoided in most of the organisms studied.
“On the basis of that criterion, we found 288 neighboring codon pairs (1–2 codon pairs) that were preferred or avoided in most of the organisms studied [Additional files 1, 2].”
Quote in the paperSubstantial claim - Findingown data
81 codon pairs were over-represented in more than half the organisms studied.
“We found 81 codon pairs that were over-represented in more than half the organisms studied (Table 3, [additional file 2]).”
Quote in the paperSubstantial claim - Findingown data
The most considerably biased conserved codon pairs are biased irrespective of phylogenetic class.
“Codon pair usage analysis showed that the most considerably biased conserved codon pairs are biased irrespective of phylogenetic class (Figures 1, 2, 3).”
Quote in the paperSubstantial claim - Findingown data
Larger genomes appeared to contain larger fractions of biased codon pairs than smaller genomes.
“Indeed, larger genomes appeared to contain larger fractions of biased codon pairs than smaller genomes (Figure 4A).”
Quote in the paperNot a substantial claim - Findingown data
The highest correlation of RSCU occurred in the phylogenetically closest bacteria.
“As expected, the highest correlation of RSCU occurred in the phylogenetically closest bacteria.”
Quote in the paperNot a substantial claim - Findingown data
Avoidance of mononucleotide repeats such as GGGGGn, GGGGnn, nCCCCn and UUUUUU was conserved in most organisms (Type 8A).
“Avoidance of mononucleotide repeats such as GGGGGn, GGGGnn, nCCCCn and UUUUUU was also conserved in most organisms (Type 8A).”
Quote in the paperNot a substantial claim - Findingown data
Many nnUAnn type patterns contained codon pairs with stop codons in -1 frame on the sense strand (67%, 47/70).
“Many of the nnUAnn type patterns contained codon pairs with stop codons in -1 frame on the sense strand (67%, 47/70).”
Quote in the paperSubstantial claim - Findingown data
The greatest similarity in RDCU among the species analyzed occurred when the calculation was based on 1-2 codon pairs.
“The greatest similarity in RDCU among the species analyzed occurred when the calculation was based on 1–2 codon pairs.”
Quote in the paperSubstantial claim - Findingown data
Only three type 1A codon pairs did not contain out-frame UAA or UAG.
“Only three of the type 1A codon pairs did not contain out-frame UAA or UAG.”
Quote in the paperSubstantial claim - Findingown data
Only a few clearly-separated phylogenetic classes occurred in both trees.
“However, only a few clearly-separated phylogenetic classes occurred in both trees.”
Quote in the paperSubstantial claim - Findingown data
Aeropyrum pernix, Methanopyrus kandleri and Nanoarchaeum equitans had a considerable number of biased codon pairs.
“Aeropyrum pernix, Methanopyrus kandleri and Nanoarchaeum equitans had a considerable number of biased codon pairs (Figure 3), indicating that these organisms use a different set of biased codon pairs from the conserved set.”
Quote in the paperSubstantial claim - Findingown data
No conserved biases were found for more distant codon pairs (1-4, 1-5).
“No conserved biases were found for more distant codon pairs.”
Quote in the paperSubstantial claim - Findingown data
The most prevalent type of conserved preferred codon pair was nnGCnn.
“The most prevalent type of conserved preferred codon pair was nnGCnn [Additional file 5].”
Quote in the paperNot a substantial claim - Findingnone given
A conserved biased set of codon pairs was found in a dataset covering a large number of organisms from the three domains of life.
“A conserved biased set of codon pairs was found in a dataset covering a large number of organisms from the three domains of life.”
Quote in the paperSubstantial claim - Findingown data
Some genomes use sets of most avoided and most preferred codon pairs different from the conserved sets identified in this study.
“We also observed that some genomes use sets of most avoided and most preferred codon pairs different from the conserved sets identified in this study.”
Quote in the paperNot a substantial claim - Findingreasoning
All those codon pairs were more strongly avoided in ORFeomes than in genomes.
“All those codon pairs were more strongly avoided in ORFeomes than in genomes.”
Quote in the paperSubstantial claim - Findingown data
The top 10 avoided and preferred codon pairs were not specific to any larger phylogenetic group.
“The top 10 avoided and preferred codon pairs were not specific to any larger phylogenetic group”
Quote in the paperSubstantial claim - Findingown data
In some organisms with small genomes, only a few of those 20 codon pairs were significantly biased.
“However, in some organisms with small genomes, only a few of those 20 codon pairs were significantly biased.”
Quote in the paperNot a substantial claim - Findingreasoning
Many of the avoided nnUAnn patterns contained out-frame stop codons, UAA or UAG, on the sense strand.
“Many of the avoided nnUAnn patterns contained out-frame stop codons, UAA or UAG, on the sense strand.”
Quote in the paperSubstantial claim - Findingown data
Among 9 groups of under-represented codon pairs found in our study the largest group was influenced by the avoidance of UA dinucleotides.
“Among 9 groups of under-represented codon pairs found in our study the largest group was also influenced by the avoidance of UA dinucleotides.”
Quote in the paperSubstantial claim - Findingown data
There were eight mononucleotide repeats among the avoided codon pairs.
“There were eight mononucleotide repeats among the avoided codon pairs.”
Quote in the paperNot a substantial claim - Findingnone given
Most of the pairs had stronger bias on the ORFeome level than on the whole genome level.
“Most of the pairs had stronger bias on the ORFeome level than on the whole genome level”
Quote in the paperSubstantial claim - Findingown data
On the codon pair tree (RDCU tree), species are more distant from each other (codon pair usage is less similar).
“However, on the codon pair tree (RDCU tree), species are more distant from each other (codon pair usage is less similar).”
Quote in the paperSubstantial claim - Findingown data
Larger phylogenetic groups are positioned together on the RDCU tree.
“In contrast, larger phylogenetic groups are positioned together on the RDCU tree.”
Quote in the paperSubstantial claim - Findingown data
In 75.7% of cases the avoidance effect for nnUAnn codon pairs was stronger in ORFeomes than in genomes.
“The results showed that in 75.7% of cases the avoidance effect for nnUAnn codon pairs was stronger in ORFeomes than in genomes”
Quote in the paperSubstantial claim - Findingown data
Several conserved preferred codon pairs were found.
“We also found several conserved preferred codon pairs.”
Quote in the paperSubstantial claim - Findingown data
In the RSCU tree certain phylogenetic classes, for example bacilli, alpha- and gamma-proteobacteria, have extremely similar codon usage preferences within the classes.
“Tree analysis showed that in the RSCU tree certain phylogenetic classes, for example bacilli, alpha- and gamma-proteobacteria, have extremely similar codon usage preferences within the classes (Figure 6A).”
Quote in the paperNot a substantial claim - Findingnone given
Most nnUAnn codon pairs also contained out-frame UAA and UAG triplets on the antisense strand.
“Interestingly, most nnUAnn codon pairs also contained out-frame UAA and UAG triplets on the antisense strand.”
Quote in the paperNot a substantial claim - Findingown data
The similarity of codon pair usage in eukaryotes is higher than the similarity of single codon usage.
“For example, the similarity of codon pair usage in eukaryotes is higher than the similarity of single codon usage (eukaryotes are placed together on the RDCU tree but not on the RSCU tree).”
Quote in the paperSubstantial claim - Findingown data
The number of conserved preferred codon pairs was smaller than the number of avoided codon pairs.
“The number of conserved preferred codon pairs was smaller than the number of avoided codon pairs [Additional files 1, 2].”
Quote in the paperSubstantial claim - Findingown data
The branch lengths in the codon pair usage tree are shorter than in the single codon usage tree.
“This was also confirmed by the shorter branch lengths in the codon pair usage tree than in the single codon usage tree (Figure 6).”
Quote in the paperSubstantial claim - Interpretationreasoning
Sequences that are prone to frameshifting are successfully avoided in coding sequences.
“This means that sequences that are prone to frameshifting are successfully avoided in coding sequences.”
Quote in the paperSubstantial claim - Interpretationown data
Conserved patterns result mainly from translational effects not from DNA-related mechanisms.
“Conserved patterns result mainly from translational effects not from DNA-related mechanisms since the biases are stronger in ORFeomes than in genomes.”
Quote in the paperSubstantial claim - Interpretationown data
Aeropyrum pernix, Methanopyrus kandleri and Nanoarchaeum equitans use a different set of biased codon pairs from the conserved set.
“Aeropyrum pernix, Methanopyrus kandleri and Nanoarchaeum equitans had a considerable number of biased codon pairs (Figure 3), indicating that these organisms use a different set of biased codon pairs from the conserved set.”
Quote in the paperSubstantial claim - Interpretationown data
Avoidance of nnUAnn codon pairs is partly related to out-frame stop codons.
“Thus, we assume that avoidance of nnUAnn codon pairs is partly related to out-frame stop codons.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Expected codon pair values were normalized to dipeptide frequencies to ensure that observed codon pair effects were not caused by avoidances or preferences of dipeptides.
“To ensure that the effects observed at the codon pair level were not caused by avoidances or preferences of dipeptides, the expected codon pairs values were normalized to the dipeptide frequencies (see Methods).”
Quote in the paperSubstantial claim - Interpretationown data
In addition to similar codon usage, these organisms use similar codon contexts.
“This indicates that in addition to similar codon usage, these organisms use similar codon contexts.”
Quote in the paperSubstantial claim - Interpretationown data
Translational selection plays a major role in the avoidance of nnUAnn codon pairs.
“Thus we assume that translational selection plays a major role in the avoidance of these codon pairs.”
- Also stated in: § Under-represented codon pairs can be divided into 9 major types · hedged
“This suggests that selection for nnUAnn avoidance occurs mainly at the translational level.”
Quote in the paperSubstantial claim - Also stated in: § Under-represented codon pairs can be divided into 9 major types · hedged
- Interpretationown data
Translational selection shapes codon pair usage in protein coding sequences by rules that are common to all three domains of life.
“Translational selection shapes codon pair usage in protein coding sequences by rules that are common to all three domains of life.”
Quote in the paperSubstantial claim - Study design and conductown data
The magnitude of effects of pentamers, tetramers, trimers and dimers cannot be compared directly with that of codon pairs because the number and variation in magnitude of effect differ markedly among sub-patterns of different lengths.
“Unfortunately, the magnitude of the effects (observed/expected ratio) of pentamers, tetramers, trimers and dimers cannot be compared directly with that of codon pairs because the number, and therefore the variation in magnitude of effect, differs markedly among sub-patterns of different lengths [Additional file 3].”
Quote in the paperSubstantial claim - Interpretationown data
The common preference of codon pairs detected is mainly influenced by translational mechanisms.
“All the major types were more strongly over-represented in ORFeomes than in genomes, again indicating that the common preference of codon pairs that we detected is mainly influenced by translational mechanisms.”
Quote in the paperSubstantial claim - Interpretationown data
Avoidance of the UA dinucleotide between two codons also has a role in nnUAnn avoidance, because out-frame UGA stop-codons were not observed in any conserved biased dicodon pairs.
“On the other hand, avoidance of the UA dinucleotide between two codons also has a role here, because out-frame UGA stop-codons were not observed in any of the conserved biased dicodon pairs.”
Quote in the paperSubstantial claim - Interpretationreasoning
Those three type 1A codon pairs may not be related to the same kind of avoidances as all other type 1A codon pairs.
“Those three pairs may not be related to the same kind of avoidances as all other type 1A codon pairs [Additional file 4].”
Quote in the paperNot a substantial claim - Interpretationown data
B. aphidicola and C. blochmannia seem effectively to lack biased codon pairs.
“Therefore, these two genomes seem effectively to lack biased codon pairs.”
Quote in the paperSubstantial claim - Interpretationown data
Certain codon contexts are strongly conserved over all domains of life.
“Our findings suggest that certain codon contexts are strongly conserved over all domains of life.”
Quote in the paperSubstantial claim - Interpretationown data
Between different eukaryotes (mostly fungi) the similarity in codon context is greater than the similarity in codon usage.
“This suggests that between different eukaryotes (which in our dataset were mostly represented by fungi) the similarity in codon context is greater than the similarity in codon usage.”
Quote in the paperSubstantial claim - Interpretationreasoning
Most conserved codon context biases are probably influenced by translational rather than DNA-related mechanisms.
“Most of them are probably influenced by translational rather than DNA-related mechanisms.”
Quote in the paperSubstantial claim - Interpretationreasoning
The under- and over-represented codon pairs are indeed uniformly distributed.
“This indicates that the under- and over-represented codon pairs are indeed uniformly distributed.”
Quote in the paperSubstantial claim - Interpretationown data
Codon pair usage bias can be distributed in many different ways.
“We conclude that codon pair usage bias can be distributed in many different ways.”
Quote in the paperSubstantial claim - Interpretationown data
Interactions between the ribosomal E- and A-sites do not influence the codon context as much as interactions between the P- and A-sites.
“indicating that interactions between the ribosomal E- and A-sites do not influence the codon context as much as interactions between the P- and A-sites.”
Quote in the paperSubstantial claim - Interpretationown data
The stronger avoidance of nnUAnn codon pairs in ORFeomes than in genomes suggests the influence of translational mechanisms.
“suggesting the influence of translational mechanisms (Table 2).”
Quote in the paperSubstantial claim - Interpretationreasoning
Bias might also be observed in codon pair usage where codons are separated by three nucleotides (the 1-3 pair).
“Therefore, bias might also be observed in codon pair usage where codons are separated by three nucleotides (the 1–3 pair).”
Quote in the paperSubstantial claim - Premisecitation
tRNA concentration is a major selective force on codon usage patterns.
“suggesting that this is a major selective force on codon usage patterns [31-33].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [31] Dong H, Nilsson L, Kurland CG: Co-variation of tRNA abundance and codon usage in Escherichia coli at different growth rates. J Mol Biol. 1996, 260 (5): 649-663. 10.1006/jmbi.1996.0428. source
- cites [32] Ikemura T: Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes. J Mol Biol. 1981, 146 (1): 1-21. 10.1016/0022-2836(81)90363-6. source
- cites [33] Elf J, Nilsson D, Tenson T, Ehrenberg M: Selective charging of tRNA isoacceptors explains patterns of codon usage. Science. 2003, 300 (5626): 1718-1722. 10.1126/science.1083811. source
- Interpretationreasoning
The observation that only the stop codons UAA and UAG were avoided suggests that this kind of misreading might be caused by termination factor 1.
“The observation that only the stop codons UAA and UAG were avoided suggests that this kind of misreading might be caused by termination factor 1, the protein responsible for decoding them.”
Quote in the paperSubstantial claim - Interpretationreasoning
Out-frame stop codons influence the avoidance of nnUAnn codon pairs.
“This indicates that out-frame stop codons influence the avoidance of nnUAnn codon pairs.”
Quote in the paperSubstantial claim - Interpretationown data
Translation has a greater influence on codon pair biases than molecular mechanisms that shape the genomic DNA in general.
“suggesting that translation has a greater influence on codon pair biases than molecular mechanisms that shape the genomic DNA in general.”
Quote in the paperSubstantial claim - Interpretationcitation
Such contexts should be selected against in protein coding sequences.
“Therefore, such contexts should be selected against in protein coding sequences.”
Quote in the paperSubstantial claim - Interpretationcitation
This bias could also be species specific among bacteria and eukaryotes.
“Our results correlate with that and suggest that this bias could also be species specific among bacteria and eukaryotes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Usage of those top 10 avoided and preferred codon pairs is universally conserved.
“suggesting that usage of those codon pairs is universally conserved (Figures 2 and 3).”
Quote in the paperSubstantial claim - Interpretationown data
nnUAnn type avoidances are related to translational mechanisms.
“However, our results suggest that nnUAnn type avoidances are related to translational mechanisms because they are stronger in ORFeomes than in genomes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Those codon pairs were avoided to reduce the frequency of frameshifting events in polynucleotide sequences.
“This suggests that they were avoided to reduce the frequency of frameshifting events in polynucleotide sequences.”
Quote in the paperSubstantial claim - Premisecitation
Codon frequencies correlate with tRNA concentrations.
“Codon frequencies correlate with tRNA concentrations, suggesting that this is a major selective force on codon usage patterns [31-33].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [31] Dong H, Nilsson L, Kurland CG: Co-variation of tRNA abundance and codon usage in Escherichia coli at different growth rates. J Mol Biol. 1996, 260 (5): 649-663. 10.1006/jmbi.1996.0428. source
- cites [32] Ikemura T: Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes. J Mol Biol. 1981, 146 (1): 1-21. 10.1016/0022-2836(81)90363-6. source
- cites [33] Elf J, Nilsson D, Tenson T, Ehrenberg M: Selective charging of tRNA isoacceptors explains patterns of codon usage. Science. 2003, 300 (5626): 1718-1722. 10.1126/science.1083811. source
- Interpretationown data
Certain codon contexts are markedly conserved over all domains of life.
“Our findings suggest that certain codon contexts are markedly conserved over all domains of life.”
Quote in the paperSubstantial claim - Interpretationown data
Codon preference and codon pair preference are shaped by different molecular mechanisms.
“The large differences between the RSCU and RDCU tree topologies and branch lengths imply that codon preference and codon pair preference are shaped by different molecular mechanisms.”
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).
PremisecitationCertain 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).
PremisecitationThe 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.
PremisecitationCodons 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.
PremisecitationCodon 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.
PremisecitationEffects 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.
PremisecitationSpecific 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).
PremisecitationCodon 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).
PremisecitationSpecies-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).
PremisecitationE-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.
PremisecitationThe 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).
PremisecitationCodon 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).
PremisecitationCodon 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.
PremisecitationThe 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).
PremisecitationCodon 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.
PremisecitationThe 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.
PremisecitationIn 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 dataThe 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 claimMay combine two claims.
Findingown dataEven 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 claimMay combine two claims.
Findingown dataAll 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 claimMay combine two claims.
Findingown dataOn 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- Also stated in: § Under-represented codon pairs can be divided into 9 major types · plain
May combine two claims.
Findingown dataEukaryotes 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 claimMay combine two claims.
Findingown dataAlthough 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 claimMay combine two claims.
Findingown dataUUUUUU 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 claimMay combine two claims.
Findingnone givenThe 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 claimMay combine two claims.
Findingown dataFor 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 claimMay combine two claims.
Findingown dataOnly 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 claimMay combine two claims.
Findingown dataThe 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 claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFrameshifting 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).
PremisecitationFrameshift 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 conductreasoningThe 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 claimClassified as probably not a substantial claim.
PremisecitationThe 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 conductreasoningComparison 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 claimMay combine two claims.
Study design and conductown dataThe 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 claimMay combine two claims.
Study design and conductreasoningZ-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 claimMay combine two claims.
Interpretationown dataAlthough 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 claimClassified as probably not a substantial claim.
Study design and conductnone givenWe used no multiple correction methods at this point.
“We used no multiple correction methods at this point.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe 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 claimMay combine two claims.
InterpretationreasoningAvoidance 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 claimMay combine two claims.
Interpretationown dataSelection 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
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.”
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
MinorThe 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.
“This led to a score for each codon pair and sub-pattern that described the divergence of the observed/expected ratio from the mean in units of standard deviation. This score is traditionally called the z-score.”
“zi=log2(observed/expected)i,nσ[log2(observed/expected)n],”
Discussion reverses which usage tree has shorter branches
MinorThe 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.
“This was also confirmed by the shorter branch lengths in the codon pair usage tree than in the single codon usage tree (Figure 6).”
“Comparing the RSCU and RDCU trees, we observed that the branch lengths were shorter in the RSCU tree (Figure 6A) than in the RDCU (codons 1–2) tree (Figure 6B), showing that codon usage gives stronger similarity between different organisms than codon pair usage.”
Table 4 labels preferred pairs as avoided pairs
MinorThe 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.
“| preferred pattern | preferred pattern | % among avoided pairs | the effect is stronger in ORFeome (%) | the effect is stronger in whole genome (%) |”
“Note: The percentage of codon pairs of the corresponding pattern among all conserved preferred codon pairs is shown.”
Figure 1 uses zero as the no-bias observed/expected ratio
MinorFigure 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.
“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).”
“In each separate ORFeome, only under-represented codon pairs with observed/expected ratios ≤ 0.9 and over-represented codon pairs with observed/expected ratios ≥ 1.1 were subjected to the two-tailed Fisher's exact test.”
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Flagged first, then by citations
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Codon Bias as a Means to Fine-Tune Gene Expression
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“Some codon pairs are universally avoided or preferred; for example, nnUAnn codon pairs are usually underrepresented, whereas nnGCnn codon pairs are most preferred (Tats et al., 2008).”
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Synonymous Codons: Choose Wisely for Expression
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“Some synonymous codon pairs are used more or less frequently than expected, a phenomenon termed codon pair bias (Yarus and Folley 1985) that may influence translation efficiency (Tats et al. 2008).”
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“…consistent underand over-representations of codon pairs (CPs) in all organisms (Yarus and Folley, 1985; Gutman and Hatfield, 1989; Boycheva et al., 2003; Moura et al., 2005; Tats et al., 2008) that have been proposed to influence gene expression through alterations in translation efficiency.”
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“In addition, traditional approaches neglect evidence that adjacent codons co-evolve [29-31].”
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“…or codon pairs that are naturally under-represented in vertebrate and viral genomes have been similarly proposed to reduce translation efficiency (Tats et al., 2008; Gutman and Hatfield, 1989; Yarus and Folley, 1985; Boycheva et al., 2003; Moura et al., 2005; Yang et al., 2013; Nogales et al.,…”
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“However, apart from individual codon usage (ICU) bias, nonrandom utilization of adjacent codon pairs in organisms has also been reported in several studies [15,16].”
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“This genetic phenomenon varies among different taxa [39], with codon pair usage in mammals differing from that in bacteria or insects.”
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RNA Structural Determinants of Optimal Codons Revealed by MAGE-Seq
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“The beneficial effects of frameshifted stop codons are likely limited to sequences near the start codon, as recent work shows that frameshifted stop codons are generally depleted across coding regions (Tats et al., 2008).”
InfluentialKames, J. M., Alexaki, A., Holcomb, D. D., Santana-Quintero, L. V., Athey, J. C., Hamasaki‐Katagiri, N., Katneni, U., Golikov, A., Ibla, J. C., Bar, H., et al. (2020) · Journal of Molecular Biology · doi:10.1016/j.jmb.2020.01.011 · Cited by 63 · see citing works
mRNA-Based Therapeutics in Cancer Treatment
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Codon usage patterns in Chinese bayberry (Myrica rubra) based on RNA-Seq data
Feng, C., Xu, C., Wang, Y., Liu, W., Yin, X.-R., Li, X., Chen, M., & Chen, K. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-732 · Cited by 51 · see citing works
“[39,40] and could play an important role in transgene design of exogenous genes, especially for Ser, Arg, Leu, Phe and Gly codons.”
BackgroundTse, H., Cai, J. J., Tsoi, H., Lam, E. P., & Yuen, K. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-491 · Cited by 43 · see citing works
“Other studies on dicodon bias [17] and overlapping genes [18] have touched upon the topic of OSCs indirectly (that is, the results are not directly relevant to the investigation of relative abundance of OSC, as shown later in the discussion section).”
BackgroundResultColeman, J. R., Papamichail, D., Yano, M., et al. (2011) · The Journal of Infectious Diseases · doi:10.1093/infdis/jir010 · Cited by 43 · see citing works
“representations are distinct [5].”
Intra-genome variability in the dinucleotide composition of SARS-CoV-2
Digard, P., Lee, H. M., Sharp, C., Grey, F. E., & Gaunt, E. R. (2020) · Virus Evolution · doi:10.1093/ve/veaa057 · Cited by 41 · see citing works
“2014; Kunec and Osterrieder 2016) (so, e.g. codon pairs of the conformation NNCGNN are among the most rarely seen codon pairs in vertebrates; Tats et al. 2008)).”
BackgroundSpecies-Specific Codon Context Rules Unveil Non-Neutrality Effects of Synonymous Mutations
Moura, G., Pinheiro, M. M., Freitas, A. V., Oliveira, J. L., Frommlet, J. C., Carreto, L. C., Soares, A. R., Bezerra, A. R., & Santos, M. A. S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026817 · Cited by 39 · see citing works
“Codon-context biases have been studied in Eubacteria, Archaea and Eukaryota [5,6] and both general and kingdom-specific trends which can be attributed to translational efficiency and accuracy have been discovered [7–11].”
BackgroundCodon usage and codon context bias in Xanthophyllomyces dendrorhous
Baeza, M., Alcaı́no, J., Barahona, S., Sepúlveda, D., & Cifuentes, V. (2015) · BMC Genomics · doi:10.1186/s12864-015-1493-5 · Cited by 39 · see citing works
“Preferred and avoided codon pairs have been observed in the three domains of life, and it has been reported that 3′ codons primarily show selective effects on the codon context [35].”
BackgroundFages‐Lartaud, M., Hundvin, K., & Hohmann‐Marriott, M. F. (2022) · The Plant Journal · doi:10.1111/tpj.15970 · Cited by 39 · see citing works
“Across all three kingdoms of life, the existence of a species-specific codon pair bias was evidenced (Buchan et al., 2006; Moura et al., 2007, 2011; Tats et al., 2008).”
In silico methods for predicting functional synonymous variants
Lin, B. C., Katneni, U., Jankowska, K. I., Meyer, D., & Kimchi‐Sarfaty, C. (2023) · Genome biology · doi:10.1186/s13059-023-02966-1 · Cited by 40 · see citing works
Differential bicodon usage in lowly and highly abundant proteins
Diambra, L. A. (2017) · PeerJ · doi:10.7717/peerj.3081 · Cited by 38 · see citing works
“as NNUANN are universally underrepresented, whereas others such as NNGCNN are mostly preferred 60 (Tats et al., 2008).”
BackgroundHaughton, D., & Balado, F. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-121 · Cited by 38 · see citing works
Widespread non-modular overlapping codes in the coding regions*
Bergman, S., & Tuller, T. (2020) · Physical Biology · doi:10.1088/1478-3975/ab7083 · Cited by 37 · see citing works
“The first, looking for conserved appearances of codon pairs (or conserved avoidance thereof) in organisms from the three kingdoms of life, found the UAA and UAG stop codons were underrepresented in out-of-frame contexts [145].”
BackgroundWang, H., Xu, Y., & Feng, W.-H. (2021) · Vaccines · doi:10.3390/vaccines9050480 · Cited by 36 · see citing works
Selection shapes the patterns of codon usage in three closely related species of genus Misgurnus
Yi, S., Li, Y., & Wang, W. (2017) · Genomics · doi:10.1016/j.ygeno.2017.09.004 · Cited by 34 · see citing works
Compositional biases in RNA viruses: Causes, consequences and applications
Gaunt, E. R., & Digard, P. (2021) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1679 · Cited by 34 · see citing works
“” The phenomenon was first described in 1985 in Escherichia coli (Yarus & Folley, 1985) and has since been summarized for three domains of life (bacteria, archaea, and eukaryotes) (Tats et al., 2008) (Table 1).”
BackgroundStrategies for enhancing gene expression in Escherichia coli
Kondo, T., & Yumura, S. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10430-4 · Cited by 30 · see citing works
“…sequences), NNUANN pattern codon pairs, and consecutive poly-A codons (i.e., the AAA for the Lys reside) within the coding sequence induce ribosomal pausing or sliding, thereby compromising translational efficiency (Tats et al. 2008; Li et al. 2012; Koutmou et al. 2015; Mohammad et al. 2016).”
BackgroundSchwark, D. G., Schmitt, M. A., & Fisk, J. D. (2018) · Genes · doi:10.3390/genes9110546 · Cited by 31 · see citing works
“Furthermore, the context of codons in naturally selected genes could be the result of evolutionary pressure to either increase or decrease codon reading efficiencies, resulting in confusion based upon examination of sequence alone [30,31,36,37].”
BackgroundEffect of mRNA/tRNA mutations on translation speed: Implications for human diseases
Davyt, M., Bharti, N., & Ignatova, Z. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.105089 · Cited by 31 · see citing works
“context (29, 30), the secondary structure of mRNAs (18), tRNA abundance and aminoacylation levels (31, 32), difficultto-translate mRNA sequences (e.”
BackgroundHuang, Y., Lin, T. C., Lu, L., Cai, F., Lin, J., Jiang, Y., & Lin, Y. (2021) · Microbial Cell Factories · doi:10.1186/s12934-021-01696-y · Cited by 29 · see citing works
“Studies unveiled that codon-pair context is biased across species in the three domains of life [5, 6, 21–27].”
BackgroundSitaraman, V., Hearing, P., Ward, C., Gnatenko, D., Wimmer, E., Mueller, S., Skiena, S., & Bahou, W. (2011) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1102883108 · Cited by 20 · see citing works
“Similar to codon bias, synonymous codons can be paired in multiple ways to encode two contiguous amino acids, with evidence for strong CPB as evidenced by disproportionate over- and under-representation of codon pairs (28).”
BackgroundDuan, X., Yi, S., Guo, X., & Wang, W. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms160611996 · Cited by 24 · see citing works
“4%) (Figure 2G) and simple codon repeats (GCGGCG, CCGCCG) (Supplementary file 2), which were a little different from the studies in bacteria, archaea and other eukaryotes [7,18].”
BackgroundA Single Synonymous Variant (c.354G>A [p.P118P]) in ADAMTS13 Confers Enhanced Specific Activity
Hunt, R., Hettiarachchi, G. K., Katneni, U., Hernandez, N. E., Holcomb, D. D., Kames, J. M., Alnifaidy, R., Lin, B., Hamasaki‐Katagiri, N., Wesley, A., et al. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20225734 · Cited by 24 · see citing works
“Additionally, codon pair bias referring to non-random occurrence of adjacent codons within open reading frames was also shown to affect translation, thereby affecting expression levels [24].”
Zur, H., & Tuller, T. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu797 · Cited by 24 · see citing works
Avoidance of Long Mononucleotide Repeats in Codon Pair Usage
Gu, T., Tan, S., Gou, X., Araki, H., & Tian, D. (2010) · Genetics · doi:10.1534/genetics.110.121137 · Cited by 21 · see citing works
“Reflecting the context-dependent codon bias, a strong codon pair bias is detected in both prokaryotic and eukaryotic genomes (GUTMAN and HATFIELD 1989; BUCHAN et al. 2006; TATS et al. 2008).”
BackgroundResultEvolution and host adaptability of plant RNA viruses: Research insights on compositional biases
He, Z., Qin, L., Xu, X., & Ding, S. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.05.021 · Cited by 20 · see citing works
“In 1985, codon pair bias was first described in Escherichia coli [46] and then in bacteria, archaea, and eukaryotes [47].”
BackgroundInfluentialWang, X., Dong, Q., Chen, G., Zhang, J., Liu, Y., & Cai, Y. (2022) · BMC Genomics · doi:10.1186/s12864-022-08435-6 · Cited by 19 · see citing works
“Surprisingly, of the 4096 codon pairs, less than 41% (up to 1660) are overrepresented, while the remaining 59 + % (> 2400) codon pairs are underrepresented or even unused, suggesting that the synonymous codon pairs had undergone a strong selection pressure [39].”
BackgroundTen Plastomes of Crassula (Crassulaceae) and Phylogenetic Implications
Ding, H., Han, S., Ye, Y., et al. (2022) · Biology · doi:10.3390/biology11121779 · Cited by 18 · see citing works
Khandia, R., Pandey, M. K., Zaki, M. E. A., Al‐Hussain, S. A., Baklanov, I. S., & Gurjar, P. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1200523 · Cited by 18 · see citing works
“After the ATG codon, a highly positive context was present for the AAG (lysine) codon in all transcripts, except for APP, reflecting a prominent 3′ context effect (Tats et al., 2008).”
BackgroundPek, H. B., Klement, M., Ang, K. S., Chung, B. K.-S., Ow, D. S., & Lee, D. (2015) · Enzyme and Microbial Technology · doi:10.1016/j.enzmictec.2015.04.008 · Cited by 18 · see citing works
Synonymous genome recoding: a tool to explore microbial biology and new therapeutic strategies
Martı́nez, M. Á., Jordan-Paiz, A., Franco, S., & Nevot, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz831 · Cited by 18 · see citing works
“Codon-pair usage bias was first described in bacteria (35), and then in all studied organisms (30).”
BackgroundComputational Methods for Gene Finding in Prokaryotes
Angelova, M., Kalajdziski, S., & Kocarev, L. (2010) · Cited by 17 · see citing works
Korkmazhan, E., Teimouri, H., Peterman, N., & Levine, E. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1700941114 · Cited by 18 · see citing works
“Synonymous mutations in these codons have no effect on the translated proteins, yet it is now well established that these mutations are neither random nor neutral (39, 40).”
ΦX174 Attenuation by Whole-Genome Codon Deoptimization
Leuven, J. T. V., Ederer, M. M., Burleigh, K., Scott, L., Hughes, R. A., Codrea, V., Ellington, A. D., Wichman, H. A., & Miller, C. R. (2020) · Genome Biology and Evolution · doi:10.1093/gbe/evaa214 · Cited by 15 · see citing works
“2017), codon pairs (Gutman and Hatfield 1989; Irwin et al. 1995; Tats et al. 2008; Gamble et al. 2016), endonuclease recognition sites (Karlin et al.”
BackgroundKomar, A. A. (2019) · Molecular Biology · doi:10.1134/s0026898419060090 · Cited by 17 · see citing works
Genome-wide analysis of codon usage pattern in herpesviruses and its relation to evolution
Deb, B., Uddin, A., & Chakraborty, S. (2020) · Virus Research · doi:10.1016/j.virusres.2020.198248 · Cited by 16 · see citing works
Synonymous Codon Usage—a Guide for Co-Translational Protein Folding in the Cell
Komar, A. A. (2019) · Molecular Biology · doi:10.1134/s0026893319060098 · Cited by 15 · see citing works
Stops making sense: translational trade-offs and stop codon reassignment
Johnson, L. J., Cotton, J. A., Lichtenstein, C. P., Elgar, G. S., Nichols, R. A., Polly, P. D., & Comber, S. C. L. (2011) · BMC Evolutionary Biology · doi:10.1186/1471-2148-11-227 · Cited by 14 · see citing works
“However, recent analyses show that codon pairs creating out-of-frame stop codons seem to be generally disfavoured in most sequenced genomes, and particularly in eukaryotes [24].”
BackgroundComprehensive profiling of codon usage signatures and codon context variations in the genus Ustilago
Roy, A., & Staden, J. V. (2019) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-019-2693-y · Cited by 14 · see citing works
Bacterial phylogenetic tree construction based on genomic translation stop signals
Xu, L., Kuo, J., Liu, J.-K., & Wong, T.-Y. (2012) · Microbial Informatics and Experimentation · doi:10.1186/2042-5783-2-6 · Cited by 13 · see citing works
“Among these features are various patterns of SNP [3], INDEL, [4], synonymous codons bias [5], codonpairs bias [6], and dipeptides bias [7].”
BackgroundAnalysis of codon usage of Horseshoe Bat Hepatitis B virus and its host
Deb, B., Uddin, A., & Chakraborty, S. (2021) · Virology · doi:10.1016/j.virol.2021.05.008 · Cited by 14 · see citing works
Wang, X., Dong, Q., Chen, G., Zhang, J., Liu, Y., & Cai, Y. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/067736 · Cited by 13 · see citing works
Understanding the codon usage patterns of mitochondrial CO genes among Amphibians
Barbhuiya, P. A., Uddin, A., & Chakraborty, S. (2021) · Gene · doi:10.1016/j.gene.2021.145462 · Cited by 12 · see citing works
Ghoneim, D. H., Zhang, X., Brule, C. E., Mathews, D. H., & Grayhack, E. J. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1262 · Cited by 12 · see citing works
“We note that highly conserved outliers are not enriched for either the universally avoided or preferred codon pairs (Supplementary Figure S3A) (61), but highly conserved outliers are enriched for low occurring codon pairs.”
BackgroundThe shiftability of protein coding genes: the genetic code was optimized for frameshift toleratingPreprint
Wang, X., Wang, X., Chen, G., Zhang, J., Liu, Y., & Yang, C. (2015) · doi:10.7287/peerj.preprints.806v1 · Cited by 12 · see citing works
“It has been widely reported that the usage of codon pairs are highly biased in various species, including virus, bacteria, human and animals [25, 27-32].”
Gurjar, P., Karuvantevida, N. S., Rzhepakovsky, I. V., Khan, A. A., & Khandia, R. (2023) · Vaccines · doi:10.3390/vaccines11020487 · Cited by 11 · see citing works
“Translational selection shapes codon context [90], and nonsense and missense suppression, elongation rate, the precision of tRNA selection and polypeptide chain termination all appeared to be affected by codon context [91].”
BackgroundRagionieri, L., Vitorino, R. M. P., Frommlet, J. C., Oliveira, J. L., Gaspar, P., de Pouplana, L. R., Santos, M. A. S., & Moura, G. R. (2014) · FEBS Journal · doi:10.1111/febs.13181 · Cited by 10 · see citing works
Ahmed, N., Friedrich, U. A., Sormanni, P., Ciryam, P., Altman, N., Bukau, B., Krämer, G., & O’Brien, E. P. (2020) · Journal of Molecular Biology · doi:10.1016/j.jmb.2020.10.030 · Cited by 11 · see citing works
Rodríguez, Ó. A., Singh, B. K., Severson, D. W., & Behura, S. K. (2012) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2012.06.005 · Cited by 11 · see citing works
“Codon context is an important feature of codon selection as the neighboring codons correspond to the A-site (aminoacylation site) and P-sites (peptide synthesis site) of the ribosome during translation (Buckingham, 1994; Irwin et al., 1995; Moura et al., 2007; Tats et al., 2008).”
BackgroundThe Use of the Rare TTA Codon in Streptomyces Genes: Significance of the Codon Context?
Silov, S., Zaburannyi, N., Anisimova, M. O., & Ostash, B. O. (2020) · Indian Journal of Microbiology · doi:10.1007/s12088-020-00902-6 · Cited by 10 · see citing works
CodHonEditor: Spreadsheets for Codon Optimization and Editing of Protein Coding Sequences
Takai, K. (2016) · Nucleosides Nucleotides & Nucleic Acids · doi:10.1080/15257770.2015.1127962 · Cited by 10 · see citing works
“[21] In order to facilitate manual editing of specific codon pairs, a method for searching a text with specifying the reading frame is needed, which is not implemented at present.”
MethodLaskar, R., Jilani, M. G., Nasrin, T., & Ali, S. (2022) · International Journal of Infection · doi:10.5812/iji-122019 · Cited by 10 · see citing works
“Furthermore, their association with transcriptional slippage, codon bias and various diseases in other genomes makes it interesting for viruses as well (35-37).”
BackgroundKhandia, R., Pandey, M. K., Khan, A. A., Rzhepakovsky, I. V., Gurjar, P., & Karobari, M. I. (2022) · Vaccines · doi:10.3390/vaccines10111874 · Cited by 9 · see citing works
“Consistently there are underand overrepresentations of codon pairs in all the organisms that appear to influence the translation machinery [68].”
BackgroundThe CpG Landscape of Protein Coding DNA in Vertebrates
Wilcox, J. J. S., Ord, J., Kappei, D., & Gossmann, T. I. (2025) · Evolutionary Applications · doi:10.1111/eva.70101 · Cited by 8 · see citing works
“There are biases in codon pair preferences and avoidance across bacteria, archaea, and other eukaryotes (Tats et al. 2008), including CpG-containing dicodons that are underpresented (nnCGCn and UUCGnn).”
Sanguinetti, M., Iriarte, A., Amillis, S., Marı́n, M., Musto, H., & Ramón, A. (2019) · Royal Society Open Science · doi:10.1098/rsos.190773 · Cited by 6 · see citing works
“In fact, codon pairs containing the pattern nnGGnn are avoided [69].”
BackgroundDesign of typical genes for heterologous gene expression
Simm, D., Popova, B., Braus, G. H., Waack, S., & Kollmar, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-13089-1 · Cited by 7 · see citing works
Pal, A., Banerjee, R., Mondal, U., Mukhopadhyay, S., & Bothra, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118245 · Cited by 7 · see citing works
“Comparative analyses have confirmed that different organisms display certain preference towards specific codon pairs in their genomes [10–12].”
BackgroundDicodon-based measures for modeling gene expression
Alonso, A. M., & Diambra, L. A. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad380 · Cited by 6 · see citing works
“For example, a comparative analysis of the codon pair usage confirms that certain dicodons are avoided since others are preferred in the ORFeome of the analyzed genomes (Tats et al. 2008).”
BackgroundDecoding Multidrug Resistance: Genetic Architecture and Codon Usage Patterns in ESKAPE Pathogens
Dahal, U., Bansal, A., & Chitara, D. (2024) · Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine · doi:10.2174/0118756921344687241015063919 · Cited by 6 · see citing works
Genome-Wide Motif Statistics are Shaped by DNA Binding Proteins over Evolutionary Time Scales
Qian, L., & Kussell, E. L. (2016) · Physical Review X · doi:10.1103/physrevx.6.041009 · Cited by 6 · see citing works
Tello, M., Saavedra, J. M., & Spencer, E. (2013) · Virology Journal · doi:10.1186/1743-422x-10-180 · Cited by 5 · see citing works
“As well as the bias in codon usage, there is a bias in codon-pair usage, which is characteristic for each organism and independent of the frequency of codon usage [20].”
BackgroundTailoring the Immune Response via Customization of Pathogen Gene Expression
Runco, L. M., Stauft, C. B., & Coleman, J. R. (2014) · Journal of Pathogens · doi:10.1155/2014/651568 · Cited by 5 · see citing works
Hegelmeyer, N. K., Parkin, L. A., Previti, M. L., Andrade, J., Utama, R., Sejour, R., Gardin, J., Muller, S., Ketchum, S., Yurovsky, A., et al. (2023) · mBio · doi:10.1128/mbio.00841-23 · Cited by 4 · see citing works
Visualizing Codon Usage Within and Across Genomes: Concepts and Tools
Ostash, B. O., & Anisimova, M. O. (2020) · Algorithms for intelligent systems · doi:10.1007/978-981-15-2445-5_13 · Cited by 3 · see citing works
Compositional Features and Codon Usage Pattern of Genes Associated with Parkinson’s Disease
Uddin, A. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04091-x · Cited by 2 · see citing works
“Certain codon pairs or sequences are preferred for efficient translation [19].”
GPU-accelerated non-dominated sorting genetic algorithm III for maximizing protein production
Kim, D., & Kim, J. (2024) · Electronic Research Archive · doi:10.3934/era.2024116 · Cited by 2 · see citing works
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“It is noteworthy that arginine (24-28), guanine and cytosine (29-32) and mononucleotide repeats (33,34) of heterologous genes were demonstrated to be associated with the output of target proteins in E. coli expression systems.”
Virulent but not temperate bacteriophages display hallmarks of rapid translation initiationPreprint
Hockenberry, A. J., Weaver, D. C., & Wilke, C. O. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.21.440840 · Cited by 1 · see citing works
Approximative method for computing cross sections
Rayski, J. (1974) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 1 · see citing works
Codon Pair Bias and Viral Vaccine Design
Ryan, M. D. (2012) · Advances in Genetic Engineering & Biotechnology · doi:10.4172/2324-9021.1000101
“Many organisms, including viruses, tend to have biases toward certain synonymous codons (the “codon bias”) and codon pairs (the “codon pair bias”) in their genes [7-9].”
BackgroundФедорова, Е. А., Kiseleva, I., Auewarakul, P., et al. (2014) · Molecular Genetics Microbiology and Virology · doi:10.3103/s089141681404003x
Advances in Genetic Engineering & Biotechnology
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Changes in Codon-Pair Bias of Human Immunodeficiency Virus Type 1 Affect Virus Replication
Martı́nez, M. Á. (2015) · Trends in mathematics · doi:10.1007/978-3-319-22129-8_23
Description of the rare codons based on codon usage patterns
Roman, M. N. L. (2012) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-a-007580654
Takai, K. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.11.015
- 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)
- PMC
- PMC2585594
- OpenAlex
- W2151373788
- Semantic Scholar
- 0fa0390d313e7d1a3b7898755535b627b8fd30f4
- 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
- gold
- doi.org
- 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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