Codon Pair Bias Is a Direct Consequence of Dinucleotide Bias
Open accessAbstract
Codon pair bias is a remarkably stable characteristic of a species. Although functionally uncharacterized, robust virus attenuation was achieved by recoding of viral proteins using underrepresented codon pairs. Because viruses replicate exclusively inside living cells, we posited that their codon pair preferences reflect those of their host(s). Analysis of many human viruses showed, however, that the encoding of viruses is influenced only marginally by host codon pair preferences. Furthermore, examination of codon pair preferences of vertebrate, insect, and arthropod-borne viruses revealed that the latter do not utilize codon pairs overrepresented in arthropods more frequently than other viruses. We found, however, that codon pair bias is a direct consequence of dinucleotide bias. We conclude that codon pair bias does not play a major role in the encoding of viral proteins and that virus attenuation by codon pair deoptimization has the same molecular underpinnings as attenuation based on an increase in CpG/TpA dinucleotides.
AI snapshot
Written from the paper’s full text.
TL;DR
Codon pair bias in viruses is largely a byproduct of dinucleotide bias, especially CpG and TpA suppression, rather than selection for host-preferred codon pairs. The authors conclude that attenuation by codon pair deoptimization/SAVE likely reflects increased CpG/TpA dinucleotides rather than impaired use of specific codon pairs.
Key findings
- Human viruses are only marginally influenced by host codon pair preferences: 50%–60% of codon pairs in viral genes have positive CPSs versus 65% in human genes, and many viral ORFeomes have negative CPB scores; only Influenza C virus and BK polyomavirus matched the human ORFeome CPB of 0.075.
- CpG dinucleotide relative abundance negatively correlates with CPB in both DNA and RNA viruses (R² ≥ 0.75), and 94% of codon pairs with TpA at position P3-A1 and 98% with CpG at P3-A1 are underrepresented in the human ORFeome.
- Arboviruses do not preferentially use codon pairs overrepresented in their arthropod hosts: among 159 viruses from Reoviridae (53), Flaviviridae (62), Togaviridae (30), and Bunyaviridae (14), CPB scores calculated with arthropod CPSs were not significantly higher in arthropod-borne or arthropod-specific viruses than in non-vectored sister viruses.
- Recoding in prior SAVE studies increased CpG dinucleotides dramatically (140%–360% in DENV-2 and 480%–630% in HRSV) and TpA only moderately (30%–60%), while TpG and CpA decreased 20%–60%, supporting dinucleotide increase as the likely attenuation basis.
Methods
- Protein coding sequences were retrieved from NCBI CCDS, NCBI Genome, and VectorBase via Biomart. Analyses included 92 human viruses (41 DNA, 51 RNA) across all Baltimore classes, plus 159 viruses from Reoviridae, Flaviviridae, Togaviridae, and Bunyaviridae; species CPSs were calculated for five vertebrates (human, pig, mouse, chicken, zebrafish) and four arthropods (Aedes aegypti, Anopheles gambiae, Culex quinquefasciatus, Ixodes scapularis).
- Codon pair scores (CPSs) were calculated for all 3,721 codon pairs as the natural logarithm of observed over expected occurrences, following Coleman et al. (2008); CPB was the mean CPS per ORF or ORFeome. Synonymous codons were randomly reshuffled to generate 30 randomized ORFs per ORF, and DCPB was defined as CPB(WT) − CPB(random).
- Dinucleotide relative abundance was assessed by odds ratio rXY = fXY/fXfY, with rXY < 0.78 considered low and > 1.25 high relative abundance. The contribution of adjacent and nonadjacent nucleotide pairs to CPSs was analyzed by sorting codon pairs by CPS and examining dinucleotide distributions.
Limitations
- The paper states that the exact molecular mechanisms responsible for attenuation by SAVE or by increased CpG/TpA dinucleotides remain unknown, and that experimental confirmation of the authors’ predictions is beyond the scope of the work.
- The paper states that genetic stability, safety, and efficacy of codon pair-deoptimized viruses must be studied exhaustively, including in outbred populations, before vaccine use.
- Evident from the text: the study is computational and correlational, relying on annotated ORFeomes and existing databases, and it does not itself perform viral fitness or attenuation experiments; some interpretations depend on prior SAVE and echovirus studies.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
26 of 37 cited sources checked · 17 supported · 1 flagged · accuracy not yet measured
- Premisecitation
DENV-2 and RVFV are biased for codon pairs that are overrepresented in the vertebrate host but not in the respective mosquito vector.
“Similar to our results, the data presented for DENV-2 and RVFV show that these viruses are biased for codon pairs that are overrepresented in the vertebrate host but not in the respective mosquito vector (Shen et al., 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Shen et al., 2015 source
The passage labeled Significance says RVFV favors codon pairs with high scores in both sheep and mosquitoes, and DENV favors pairs with high scores in both humans and mosquitoes (Fig. S1 A–B; Fig. 1 A–C). The Discussion likewise describes arboviruses as having a balanced codon-pair bias between hosts, contrary to the claim that the pairs are overrepresented in vertebrates but not mosquito vectors. (LLM, conf=0.91)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Findingcitation
Closely related species have similar codon pair bias.
“A comparison of CPSs derived from different organisms (Figure 1; Figure S1) confirmed that closely related species have a similar codon pair bias (CPB) (Moura et al., 2007;Shen et al., 2015).”
Quote in the paperNot a substantial claim2 of 2 sources checked - Premisecitation
During adaptation viruses often change their genome structure according to the genome features of their new hosts.
“During adaptation viruses often change their genome structure according to the genome features of their new hosts (Greenbaum et al., 2009).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Greenbaum et al., 2009 source
- Premisecitation
When SAVE is done using vertebrate CPSs, it inadvertently increases the number of CpG and, to a lesser degree, TpA dinucleotides in recoded sequences.
“when done using vertebrate CPSs, inadvertently increases the number of CpG and, to lesser degree, also TpA dinucleotides in recoded sequences”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Atkinson et al., 2014 source
The Discussion (Relationship between virus replication and CpG and UpA frequencies; page unavailable) reports that earlier codon de-optimization increased CpG and UpA frequencies. It does not establish that SAVE using vertebrate codon-pair scores causes those increases, or that the increase in UpA (TpA in DNA notation) is smaller than the increase in CpG. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
The bias in analyzed arboviruses for overrepresented codon pairs of the corresponding vertebrates was identified only in a small set of codon pairs that are used with higher frequency.
“The bias in analyzed arboviruses for overrepresented codon pairs of the corresponding vertebrates was identified only in a small set of codon pairs that are used with higher frequency.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Shen et al., 2015 source
- Premisecitation
Suppression of CpG dinucleotides in these and many other small viruses occurs at all three possible codon locations, not only at the codon pair boundary.
“Suppression of CpG dinucleotides in these and many other small viruses occurs at all three possible codon locations, not only at the codon pair boundary.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Lobo et al., 2009 source
The Codon Usage Similarity section (page unavailable) reports under-representation of CpG-containing codons in vertebrate-infecting viruses, supporting suppression within codons, not just at codon boundaries. The Dinucleotide Composition Analysis section reports broader viral CpG depletion, but the paper does not establish suppression separately at all three codon locations across the many small viruses claimed; it also notes viral groups with little CpG bias. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Codon pairs that contain CpG and TpA dinucleotides at codon position P3-A1 are among the most underrepresented codon pairs.
“codon pairs that contain CpG and TpA dinucleotides at codon position P3-A1 are among the most underrepresented codon pairs”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Atkinson et al., 2014 source
The Introduction (page unavailable) reports that CpG and UpA dinucleotides are underrepresented in RNA-virus genomes, including poliovirus coding regions. The Methods (page unavailable) describe calculating codon-pair bias, but the passages do not establish that pairs with CpG or TpA specifically at the P3–A1 boundary are among the most underrepresented codon pairs. (LLM, conf=0.78)
Experimental — accuracy not yet measured
- Premisecitation
TpA shows greater suppression in DNA that is destined for expression from mRNA in the cytosol.
“In addition, TpA shows greater suppression in DNA that is destined for expression from mRNA in the cytosol (Beutler et al., 1989).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Beutler et al., 1989 source
- Findingown data
There is no correlation between genome size and CPB in RNA viruses.
“We did not detect any correlation between genome size and CPB in the case of RNA viruses.”
Quote in the paperNot a substantial claim - Findingown data
There are no significant differences in CPB scores between arboviruses and non-vectored viruses within individual virus families.
“we did not detect significant differences in CPB scores between arboviruses and non-vectored viruses within individual virus families.”
Quote in the paperSubstantial claim - Findingown data
Arboviruses do not utilize codon pairs overrepresented in arthropods more frequently than other viruses.
“examination of codon pair preferences of vertebrate, insect, and arthropod-borne viruses revealed that the latter do not utilize codon pairs overrepresented in arthropods more frequently than other viruses.”
- Also stated in: § Arboviruses Do Not Mimic the Codon Pair Preferences of Their Arthropod Hosts · plain
“we did not detect significant differences in CPB scores between arboviruses and non-vectored viruses within individual virus families.”
Quote in the paperSubstantial claim - Also stated in: § Arboviruses Do Not Mimic the Codon Pair Preferences of Their Arthropod Hosts · plain
- Findingown data
CPB scores of mosquito-specific flaviviruses calculated using different mosquito CPSs do not differ from CPB scores of arboviruses that replicate in both hosts or viruses maintained in mammals without a vector.
“the CPB scores of the mosquito-specific flaviviruses (insect-specific and insect-specificlike groups) calculated using different mosquito CPSs do not differ from the CPB scores of arboviruses that replicate in both hosts or viruses that are maintained in mammals without a vector (Figure 6).”
Quote in the paperSubstantial claim - Findingown data
CpG and TpA dinucleotides deviate the most from the mathematical prediction in coding sequences of human viruses.
“The analysis of relative abundances of dinucleotides in coding sequences of human viruses revealed that CpG and TpA dinucleotides deviate the most from the mathematical prediction (Figure 2F)”
Quote in the paperSubstantial claim - Findingcitation
The relative abundance of CpG dinucleotides is much lower in vertebrate-only than in insect-specific flaviviruses.
“The relative abundance of CpG dinucleotides is much lower in vertebrate-only than in insect-specific flaviviruses”
Quote in the paperSubstantial claim - Findingown data
The G+C content of RNA viruses negatively and clearly correlates with CPB (R2 = 0.46).
“the G+C content (GC content) of RNA viruses negatively and clearly correlated with CPB (R 2 = 0.46).”
Quote in the paperSubstantial claim - Findingown data
CpG dinucleotides show the highest level of suppression in most small DNA and all RNA viruses.
“with CpG dinucleotides showing the highest level of suppression in most of the small DNA and all RNA viruses.”
Quote in the paperSubstantial claim - Findingreasoning
The similarity in codon pair bias was higher in viruses that have small genomes.
“The similarity in codon pair bias was higher in viruses that have small genomes.”
Quote in the paperNot a substantial claim - Findingown data
There is a significant correlation between the mean CPS of each dinucleotide group and the relative abundance of dinucleotides observed at the codon pair boundary.
“This experiment showed a significant correlation between the two factors.”
Quote in the paperSubstantial claim - Findingown data
With the exception of Togaviridae, there are no obvious differences in CPB among different RNA virus families.
“With the only clear exception represented by the viruses of the family Togaviridae, there are no obvious differences in CPB among different RNA virus families.”
Quote in the paperNot a substantial claim - Findingown data
Randomized ORFeomes of orthopoxviruses had higher CPB scores than the wild-type ORFeomes.
“Unexpectedly, randomized ORFeomes of orthopoxviruses had an even higher CPB scores than the wild-type OR-Feomes”
Quote in the paperSubstantial claim - Findingown data
There is a clear negative correlation between genome size and overall CPB of DNA viruses.
“However, there was a clear negative correlation between genome size and overall CPB of DNA viruses (Figure 3).”
Quote in the paperNot a substantial claim - Findingreasoning
Arthropod-borne flaviviruses and bunyaviruses show a bias toward codon pairs that are overrepresented in vertebrates.
“We discovered that arthropod-borne flaviviruses and bunyaviruses show a bias toward codon pairs that are overrepresented in vertebrates”
Quote in the paperSubstantial claim - Findingown data
Genes of human viruses contain codon pairs that have much lower CPSs than human genes.
“genes of human viruses contain codon pairs that have much lower CPSs than that of the human.”
Quote in the paperSubstantial claim - Findingown data
The relative abundance of CpG dinucleotides shows a strong negative correlation with CPB in both DNA and RNA viruses (R2 ≥ 0.75).
“the relative abundance of CpG dinucleotides shows a strong negative correlation with the CPB in both DNA and RNA viruses (R 2 $0.75; Figure 3).”
Quote in the paperSubstantial claim - Findingown data
Random reshuffling of synonymous codons in viruses that do not display suppression of CpG dinucleotides does not change the overall CPB score despite complete permutation of coding sequences.
“random reshuffling of synonymous codons in viruses that do not display suppression of CpG dinucleotides does not change the overall CPB score despite the complete permutation of coding sequences.”
Quote in the paperSubstantial claim - Findingown data
Overall CPB scores in viruses of the families Poxviridae, Herpesviridae, and Reoviridae that have normal abundances of CpG were not affected by randomization.
“According to our expectations, the overall CPB scores in viruses of the families Poxviridae, Herpesviridae, and Reoviridae that have normal abundances of CpG were not affected by randomization (Figure 2E; Table S1).”
Quote in the paperSubstantial claim - Findingown data
CPB scores were reduced slightly in viruses that show moderate suppression of CpG dinucleotides.
“CPB scores were reduced slightly in viruses that show moderate suppression of CpG dinucleotides.”
Quote in the paperNot a substantial claim - Findingown data
Identical codon pairs have similar CPSs although the CPSs were calculated using highly dissimilar nucleotide sequences.
“This suggested that identical codon pairs have similar CPSs, although the CPSs had been calculated using highly dissimilar nucleotide sequences.”
Quote in the paperSubstantial claim - Findingown data
Codon pairs used by viruses have much lower CPSs than those used by the hosts.
“codon pairs used by viruses have much lower CPSs than those that are used by the hosts.”
Quote in the paperSubstantial claim - Findingown data
None of the analyzed arboviruses show a bias toward codon pairs that are overrepresented in their respective mosquito vectors.
“We discovered that none of the analyzed arboviruses show a bias toward codon pairs that are overrepresented in their respective mosquito vectors.”
Quote in the paperSubstantial claim - Findingown data
There is a high degree of correlation between CPS and dinucleotide bias in reading frame 3.
“Again, we observed a high degree of correlation between CPS and dinucleotide bias in reading frame 3 (Figure 5)”
Quote in the paperSubstantial claim - Findingown data
Codon pair preference is a stable property of a species.
“noticed that codon pair preference is a stable property of a species because randomly selected subsets of the ORFeome, for example ORFeomes of two different chromosomes, produced almost identical CPSs.”
Quote in the paperNot a substantial claim - Findingown data
ORFeomes of many human viruses have negative CPB scores.
“ORFeomes of many human viruses have negative CPB scores (Figure 2)”
Quote in the paperSubstantial claim - Findingown data
There is no evidence for a correlation between genome structure and codon pair preferences in DNA viruses.
“Similarly to RNA viruses, we did not find any evidence for a correlation between the structure of the genome and codon pair preferences in coding sequences.”
Quote in the paperNot a substantial claim - Findingown data
There is no relationship between CPB and genome structure in RNA viruses.
“We did not observe any distinct differences in CPB between virus groups (e.g., single-stranded RNA [ssRNA] and doublestranded RNA [dsRNA] viruses), which suggests that there is no relationship between CPB and genome structure either.”
Quote in the paperSubstantial claim - Findingown data
Flaviviruses that infect arthropods did not contain more codon pairs overrepresented in their respective arthropod host than vertebrate-specific viruses.
“flaviviruses that infect arthropods did not contain more codon pairs that are overrepresented in their respective arthropod host than vertebrate-specific viruses.”
Quote in the paperSubstantial claim - Findingown data
Viruses with the highest suppression of CpG also had the highest DCPB between wild-type and randomized sequences.
“In contrast, viruses with the highest suppression of CpG also had the highest DCPB between wild-type and randomized sequences.”
Quote in the paperSubstantial claim - Findingown data
The encoding of human viruses is influenced only marginally by host codon pair preferences.
“Analysis of many human viruses showed, however, that the encoding of viruses is influenced only marginally by host codon pair preferences.”
- Also stated in: § Codon Pair Preferences in Human Viruses · plain
“We discovered that encoding in most of the human viruses is only marginally influenced by host codon pair preference (Figure 2E).”
- Also stated in: § DISCUSSION · plain
“codon pair preferences in viruses that infect (primarily) humans only correlate very weakly with those of their hosts.”
Quote in the paperSubstantial claim - Also stated in: § Codon Pair Preferences in Human Viruses · plain
- Findingown data
The mosquito-specific flaviviruses Culex flavivirus and Aedes flavivirus and other insect-specific flaviviruses have ORFeomes that are not biased toward codon pairs with high CPSs in their respective mosquito host.
“analysis of the mosquito-specific flaviviruses Culex flavivirus (CxFV) and Aedes flavivirus (AFV) and other insect-specific flaviviruses (data not shown) showed that their ORFeomes are not biased toward codon pairs that have high CPSs in their respective mosquito host (Figure 7).”
Quote in the paperSubstantial claim - Findingown data
Togaviruses do not preferentially use codon pairs that have higher CPSs in their respective vertebrate hosts.
“In contrast, the togaviruses do not preferentially use codon pairs that have higher CPSs in their respective vertebrate hosts.”
Quote in the paperSubstantial claim - Findingown data
There is no evidence that codon pairs in arboviruses are biased toward codon pairs preferred in both hosts.
“we did not find evidence that would suggest that codon pairs in arboviruses are biased toward codon pairs preferred in both hosts.”
Quote in the paperSubstantial claim - Findingown data
CPB scores of tick-borne flaviviruses calculated using the CPSs of Ixodes scapularis are not significantly higher than CPB scores of other viruses of the same family when using tick CPSs.
“the CPB scores of tick-borne flaviviruses, calculated using the CPSs of Ixodes scapularis, are not significantly higher than CPB scores of other viruses of the same family when using the tick CPSs (Figure 6).”
Quote in the paperSubstantial claim - Findingown data
CPB scores calculated using arthropod CPSs were not significantly higher in arthropod-borne or arthropod-specific viruses than in sister vertebrate viruses that do not replicate in arthropods.
“The CPB scores calculated using arthropod CPSs were not significantly higher in the arthropodborne or arthropod-specific viruses than in the sister vertebrate viruses that do not replicate in arthropods (Figure 6).”
Quote in the paperSubstantial claim - Findingown data
ORFs of RNA and DNA viruses have significantly lower CPB scores than their human counterparts.
“ORFs of RNA and DNA viruses have a significantly lower CPB scores (mean of all CPSs in an ORF) than their human counterparts (Figures 2A-2C).”
Quote in the paperSubstantial claim - Findingown data
The relative abundance of CpG, TpG, and CpA dinucleotides generally conforms with random expectations in large DNA viruses (herpesviruses and poxviruses).
“The relative abundance of CpG, TpG, and CpA dinucleotides generally conforms with random expectations in large DNA viruses (herpesviruses and poxviruses).”
Quote in the paperNot a substantial claim - Findingown data
TpA dinucleotides are underrepresented in most herpesviruses and small viruses.
“TpA dinucleotides are underrepresented in most herpesviruses and small viruses.”
Quote in the paperNot a substantial claim - Findingown data
On average, only about 50%-60% of codon pairs used by human viruses are overrepresented in the human ORFeome.
“On average, only about 50%-60% of codon pairs used by human viruses are overrepresented in the human ORFeome (Figure 2).”
Quote in the paperSubstantial claim - Findingown data
98% of codon pairs that contain CpG dinucleotides at position P3-A1 are underrepresented in the human ORFeome.
“A staggering 94% and 98% of codon pairs that contain TpA and CpG dinculeotides at position P3-A1 are underrepresented in the human ORFeome (Table S3).”
Quote in the paperSubstantial claim - Findingown data
The encoding of viral genes mimics the dinucleotide bias of their hosts to a large extent.
“We observed, however, that the encoding of viral genes mimics the dinucleotide bias of their hosts to a large extent.”
Quote in the paperSubstantial claim - Findingown data
78% of codon pairs with GpT at the codon pair boundary have negative CPSs.
“Similarly, the GpT dinucleotide has the third-lowest relative abundance (0.79; Figure S2), and 78% of codon pairs with such a dinucleotide at the codon pair boundary have negative CPSs.”
Quote in the paperSubstantial claim - Findingown data
89% of codon pairs with TpG at the codon pair boundary have positive CPSs.
“Conversely, 89% and 85% of codon pairs with TpG and CpA dinucleotides at the codon pair boundary have positive CPSs.”
Quote in the paperSubstantial claim - Findingown data
94% of codon pairs that contain TpA dinucleotides at position P3-A1 are underrepresented in the human ORFeome.
“A staggering 94% and 98% of codon pairs that contain TpA and CpG dinculeotides at position P3-A1 are underrepresented in the human ORFeome (Table S3).”
Quote in the paperSubstantial claim - Findingown data
Codon pair preferences are affected mainly by the combination of certain dinucleotides that span the codon pair junction.
“Codon pair preferences are affected mainly by the combination of certain dinucleotides that span the codon pair junction.”
Quote in the paperSubstantial claim - Findingown data
85% of codon pairs with CpA at the codon pair boundary have positive CPSs.
“Conversely, 89% and 85% of codon pairs with TpG and CpA dinucleotides at the codon pair boundary have positive CPSs.”
Quote in the paperSubstantial claim - Findingown data
Recoding changed the frequencies of TpA, CpG, TpG, and CpA dinucleotides.
“As expected, recoding changed the frequencies of TpA, CpG, TpG, and CpA dinucleotides (Figure S7).”
Quote in the paperSubstantial claim - Findingown data
The GpT dinucleotide has the third-lowest relative abundance (0.79).
“Similarly, the GpT dinucleotide has the third-lowest relative abundance (0.79; Figure S2), and 78% of codon pairs with such a dinucleotide at the codon pair boundary have negative CPSs.”
Quote in the paperNot a substantial claim - Findingown data
Almost all analyzed arboviruses show stronger suppression of CpG dinucleotides at codon position P1-P2 and P2-P3 than at position P3-A1.
“almost all analyzed arboviruses show stronger suppression of CpG dinucleotides at codon position P1-P2 and P2-P3 than at position P3-A1 (data not shown), suggesting that elimination of CpG dinucleotides from codon positions P1-P2 and P2-P3 is at least as important for the virus as elimination of these dinucleotides from position P3-A1”
Quote in the paperSubstantial claim - Findingnone given
The most prominent reduction of dinucleotide frequencies involved TpG and CpA dinucleotides (20%-60% decrease).
“The most prominent reduction of dinucleotide frequencies involved TpG and CpA dinucleotides (20%-60% decrease).”
Quote in the paperSubstantial claim - Interpretationreasoning
Virus attenuation by codon pair deoptimization has the same molecular underpinnings as attenuation based on an increase in CpG/TpA dinucleotides.
“and that virus attenuation by codon pair deoptimization has the same molecular underpinnings as attenuation based on an increase in CpG/ TpA dinucleotides.”
Quote in the paperSubstantial claim - Interpretationown data
Underrepresented codon pairs are not underrepresented because they are unfit for encoding proteins but are simply suppressed by forces that drive dinucleotide bias.
“underrepresented codon pairs are not underrepresented because they are unfit for encoding proteins but are simply suppressed by forces that drive dinucleotide bias.”
Quote in the paperSubstantial claim - Interpretationown data
The higher similarity in codon pair bias in small-genome viruses is caused by suppression of CpG dinucleotides rather than by actual selection of codon pairs that have high CPSs in the host.
“This, however, is caused by suppression of CpG dinucleotides in the viral genomes rather than by the actual selection of codon pairs that have high CPSs in the host and would, therefore, hypothetically be preferred for encoding proteins.”
Quote in the paperSubstantial claim - Interpretationown data
Overall base composition influences CPB exclusively in RNA viruses.
“This was not the case for DNA viruses (R 2 = 0.10), suggesting that overall base composition influences CPB exclusively in RNA viruses.”
Quote in the paperSubstantial claim - Interpretationown data
Codon pair bias is a direct consequence of dinucleotide bias.
“We found, however, that codon pair bias is a direct consequence of dinucleotide bias.”
- Also stated in: § Dinucleotide Bias Is the Main Force Responsible for Shaping Codon Pair Bias · boosted
“Collectively, the above results clearly show that codon pair bias is a direct consequence of dinucleotide bias and that underrepresented codon pairs are not underrepresented because they are unfit for encoding proteins but are simply suppressed by forces that drive dinucleotide bias.”
Quote in the paperSubstantial claim - Also stated in: § Dinucleotide Bias Is the Main Force Responsible for Shaping Codon Pair Bias · boosted
- Interpretationown data
Dinucleotides at position P3-A1 have a decisive role in directing codon pair bias in analyzed organisms.
“Therefore, as expected, dinucleotides at position P3-A1 have a decisive role in directing the codon pair bias in analyzed organisms.”
Quote in the paperSubstantial claim - Interpretationown data
There is no evidence that codon pairs in the analyzed viruses are subject to selection for codon pairs that are preferred in their respective arthropod hosts.
“In general, we did not find evidence to suggest that codon pairs in the analyzed viruses are subject to selection for codon pairs that are preferred in their respective arthropod hosts.”
Quote in the paperSubstantial claim - Interpretationown data
The relative abundance of CpG dinucleotides plays a crucial role in determining the similarity in codon pair preferences between human viruses and their host.
“Therefore, the relative abundance of CpG dinucleotides plays a crucial role in determining the similarity in codon pair preferences between human viruses and their host.”
Quote in the paperSubstantial claim - Interpretationreasoning
Codon pair bias does not play a major role in the encoding of viral proteins.
“We conclude that codon pair bias does not play a major role in the encoding of viral proteins”
Quote in the paperSubstantial claim - Premisecitation
TpA dinucleotides are often found in regions that require binding of proteins for bending and unwinding of the DNA double helix (e.g., TATA boxes or replication origins).
“TpA is the least energetically stable dinucleotide (Breslauer et al., 1986) and TpA dinucleotides are often found in regions that require binding of proteins for bending and unwinding of the DNA double helix (e.g., TATA boxes or replication origins) (Karlin and Ladunga, 1994).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Karlin and Ladunga, 1994 source
- Interpretationown data
The data presented here indicate that the basis for attenuation by SAVE is the increase of CpG dinucleotides in coding sequences of viruses.
“The data presented here indicate that the basis for attenuation by SAVE is the increase of CpG dinucleotides in coding sequences of viruses.”
Quote in the paperSubstantial claim - Interpretationown data
Suppression of CpG (and TpA) dinucleotides in the genomes of vertebrates also causes codon pairs with CpG and TpA at the codon pair boundary to become underrepresented.
“Therefore, suppression of CpG (and TpA) dinucleotides in the genomes of vertebrates also causes codon pairs with CpG and TpA at the codon pair boundary to become underrepresented.”
Quote in the paperSubstantial claim - Interpretationown data
The similarity in codon pair preferences between human viruses and their host can be explained largely by CpG and, to a lesser extent, TpA suppression.
“Furthermore, the similarity in codon pair preferences between human viruses and their host can be explained largely by CpG and, to a lesser extent, TpA suppression.”
Quote in the paperSubstantial claim - Premisecitation
Compared with other dinucleotides, the relative abundance of TpA and CpG deviates the most from the normal or expected distribution in a variety of organisms.
“Compared with other dinucleotides, the relative abundance of TpA and CpG deviates the most from the normal or expected distribution in a variety of organisms.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cardon et al., 1994 source
- Interpretationown data
Elimination of CpG dinucleotides from codon positions P1-P2 and P2-P3 is at least as important for the virus as elimination of these dinucleotides from position P3-A1.
“almost all analyzed arboviruses show stronger suppression of CpG dinucleotides at codon position P1-P2 and P2-P3 than at position P3-A1 (data not shown), suggesting that elimination of CpG dinucleotides from codon positions P1-P2 and P2-P3 is at least as important for the virus as elimination of these dinucleotides from position P3-A1”
Quote in the paperSubstantial claim - Interpretationreasoning
The most interesting adaptation is the suppression of CpG (and TpA) dinucleotides in the genomes of viruses that infect vertebrates.
“The most interesting adaptation is the suppression of CpG (and TpA) dinucleotides in the genomes of viruses that infect vertebrates.”
Quote in the paperSubstantial claim - Premisecitation
TpA dinucleotides are underrepresented in the genomes of almost all species.
“Although TpA dinucleotides are underrepresented in the genomes of almost all species, CpG dinucleotides are underrepresented only in the nuclear DNA of plants and vertebrates as well as in the mitochondrial genomes of all metazoan species, be they invertebrates or vertebrates (Cardon et al., 1994).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cardon et al., 1994 source
- Premisecitation
TpA is the least energetically stable dinucleotide.
“TpA is the least energetically stable dinucleotide (Breslauer et al., 1986) and TpA dinucleotides are often found in regions that require binding of proteins for bending and unwinding of the DNA double helix (e.g., TATA boxes or replication origins) (Karlin and Ladunga, 1994).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Breslauer et al., 1986 source
- Interpretationnone given
The bias for overrepresented codon pairs of the corresponding vertebrates is observed only in arboviruses (such as DENV and RVFV) that display suppression of CpG dinucleotides.
“Again, the bias is observed only in arboviruses (such as DENV and RVFV) that display suppression of CpG dinucleotides.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 13
- May combine two claims. 29
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCodon pair preference has been found in every species studied and can be radically dissimilar between phylogenetically distant species.
“Codon pair preference has been found in every species studied and can be radically dissimilar between phylogenetically distant species (Moura et al., 2005;Mueller et al., 2010).”
Quote in the paperNot a substantial claim2 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationDinucleotide bias appears to be linked with codon pair bias.
“Dinucleotide bias also appears to be linked with codon pair bias (Moura et al., 2007;Shen et al., 2015), but this relationship has not been thoroughly explored.”
Quote in the paperSubstantial claim2 of 2 sources checkedMay combine two claims.
InterpretationcitationThe two groups of viruses are exposed to different selection pressures and the pressure is imposed by the respective hosts.
“suggesting that the two groups of viruses are exposed to different selection pressures and that the pressure is imposed by the respective hosts (Lobo et al., 2009).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Lobo et al., 2009 source
May combine two claims.
PremisecitationA study of echovirus mutants demonstrated that the increase of CpG and TpA frequencies impaired virus fitness but that alteration of CPB without changing the CpG and TpA frequency did not.
“A study that analyzed a library of echovirus mutants -in which either CpG and TpA frequency or the overall CPB was kept constant while the other feature was altered -demonstrated that the increase of CpG and TpA frequencies impaired virus fitness but that alternation of CPB without changing the CpG and TpA frequency did not (Tulloch et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Tulloch et al., 2014 source
Probably not a substantial claim: may not pass S1 (asserted).
PremisecitationThe trade-off hypothesis predicts that constraining evolution in one host species diminishes fitness in the other.
“The trade-off hypothesis predicts that constraining evolution in one host species diminishes fitness in the other (Vasilakis et al., 2009).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Vasilakis et al., 2009 source
The Introduction says the trade-off hypothesis predicts that a fitness increase in one host usually diminishes fitness in the other. The Discussion likewise predicts that adaptation to one host or cell line reduces fitness in others. The claim substitutes ‘constraining evolution in one host species’ for adaptation or a fitness increase in that host, which is not the prediction the paper states. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationViruses that are exclusively hosted by mammals are evolutionarily related to either tick- or mosquito-borne viruses.
“The viruses that are exclusively hosted by mammals (rodents and bats) are evolutionarily related to either tick-or mosquito-borne viruses (Moureau et al., 2015).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Moureau et al., 2015 source
The Results (NKVs; A timed evolutionary perspective) place bat-associated no-known-vector viruses within a mosquito-borne clade and describe a rodent-associated lineage that gave rise to both no-known-vector and arthropod-borne lineages. The Introduction describes these viruses as primarily associated with rodents or bats, but does not establish that they are exclusively hosted by mammals. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMammals share essentially the same codon pair bias, which can be different among phylogenetically distant species.
“Mammals share essentially the same codon pair bias, which can be different among phylogenetically distant species (Mueller et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Mueller et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSAVE increases the number of codon pairs that are underrepresented in coding sequences of the target host.
“Previous studies have shown that SAVE not only increases the number of codon pairs that are underrepresented in coding sequences of the target host”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Atkinson et al., 2014 source
The Discussion (page unavailable) reports that earlier mutants increased bias toward unfavourable codon pairs, supporting the core point about increasing disfavoured pairs. It does not identify those pairs as underrepresented in the target host’s coding sequences or name the approach SAVE. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInsect-specific-like flaviviruses likely evolved from mosquito-borne viruses.
“insect-specific-like flaviviruses, which likely evolved from mosquito-borne viruses (Blitvich and Firth, 2015;Moureau et al., 2015).”
Quote in the paperNot a substantial claim2 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMany extant RNA vertebrate and plant viruses evolved from insect viruses.
“It is becoming clear that many extant RNA vertebrate and plant viruses evolved from insect viruses (Li et al., 2015;Marklewitz et al., 2015).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Li et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Marklewitz et al., 2015 source
The Discussion says arbo-bunyaviruses likely evolved from arthropod-specific ancestors, and the Significance passage says this includes vertebrate-infecting bunyaviruses. The paper notes that bunyaviruses include plant pathogens, but it does not establish that many plant viruses evolved from insect viruses. Its findings also concern a particular RNA virus family, rather than RNA vertebrate and plant viruses broadly. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationRestriction of TpA use might reduce the improper binding of regulatory factors.
“Therefore, restriction of TpA use might reduce the improper binding of regulatory factors (Karlin and Burge, 1995;Karlin and Ladunga, 1994).”
Quote in the paperNot a substantial claim1 of 2 sources checkedMay combine two claims.
InterpretationcitationThe suppression of TpA in DNA destined for expression from mRNA in the cytosol may be accounted for by the fact that TpA dinucleotide is present in two canonical stop codons (TAA and TAG) and that UpA dinucleotides in RNA are preferential targets for ribonucleases.
“This suppression may be accounted for by the fact that TpA dinucleotide is present in two canonical stop codons (TAA and TAG) and that UpA dinculeotides in RNA are preferential targets for ribonucleases (Beutler et al., 1989).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Beutler et al., 1989 source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable, 1 not checked. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationThe results of the echovirus study, although questioned, are in line with our observations, which also suggest that the basis of attenuation by SAVE is the increase of CpG dinucleotides in coding sequences.
“Therefore, the results of this study, although questioned (Shen et al., 2015), are in line with our observations, which also suggest that the basis of attenuation by SAVE is the increase of CpG dinucleotides in coding sequences.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Shen et al., 2015 source
May combine two claims.
InterpretationreasoningViruses that were engineered by SAVE might not be weakened per se but are attenuated because they induce stronger immune responses.
“This means that viruses that were engineered by SAVE might not be weakened per se but that they are attenuated because they induce stronger immune responses (Tulloch et al., 2014).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Tulloch et al., 2014 source
May combine two claims.
Findingown dataSome analyzed arboviruses show a bias for codon pairs that are overrepresented in vertebrate hosts, but these viruses also display a marked suppression of CpG dinucleotides.
“Although some of the analyzed arboviruses show a bias for codon pairs that are overrepresented in the vertebrate hosts, these viruses also display a marked suppression of CpG dinucleotides.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMost human viruses predominantly use codon pairs with positive CPSs, but the percentage of such codon pairs in viral genes is lower (50%-60%) than in human genes (65%).
“Most of the human viruses predominantly use codon pairs that have positive CPSs and are potentially preferred in the human, but the percentage of codon pairs with positive CPSs in viral genes is lower (50%-60%) than in human genes (65%) (Figure 2D).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe CPB scores of many human viruses are less than 0, and only Influenza C virus and BK polyomavirus match the human ORFeome CPB of 0.075.
“the CPB scores of many viruses were less than 0, and only in two cases (Influenza C virus and BK polyomavirus) did they match the CPB of the human ORFeome (0.075).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMosquitoes do not display underrepresentation of CpG and overrepresentation of TpG and CpA dinucleotides in their genomes.
“Mosquitoes, unlike vertebrates, do not display underrepresentation of CpG and overrepresentation of TpG and CpA dinucleotides in their genomes (Figure S2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataChikungunya virus and O'nyong'nyong virus display moderate suppression of CpG dinucleotides (relative abundance 0.81 and 0.76), contain few codon pairs overrepresented in the vertebrate host (52%), and have low CPB scores (-0.05 and -0.04).
“protein coding sequences of viruses such as Chikungunya virus or O'nyong'nyong virus, which display only moderate suppression of CpG dinucleotides in their genomes (relative abundance 0.81 and 0.76, respectively), contain only very few codon pairs that are overrepresented in the vertebrate host (52%), which results in very low CPB scores (À0.05 and À0.04, respectively) (Figure 2).”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningThe only association between viral host and CPB is within the insect-specific and insect-specific-like groups of flaviviruses, which have lower CPB scores relative to human than most other flaviviruses.
“The only association between the viral host and CPB can be observed within the insect-specific and the insect-specific-like groups of flaviviruses, which appear to have lower CPB scores relative to the human than most other flaviviruses (Figure 6).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDNA viruses with the smallest genomes (≤5 kb) have the highest CPB scores (0-0.08), papillomaviruses and intermediate-sized adenoviruses have lower CPB scores (-0.03-0.03), and herpesviruses and poxviruses have the lowest CPB scores (-0.07-0.03).
“Viruses with the smallest genomes ($5 kb, polyomaviruses and parvoviruses) had clearly the highest CPB scores (0-0.08),papillomaviruses ($7.5 kb) and intermediate-sized adenoviruses ($35 kb) had lower CPB scores (À0.03-0.03),and herpesviruses and poxviruses (genomes >150 kb) had the lowest CPB scores (À0.07-0.03).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataInsect-specific flaviviruses on average use more CpG dinucleotides than insect-specific-like viruses, and these more than the dual-host flaviviruses from which they evolved.
“insect-specific flaviviruses, on average, use more CpG dinucleotides than insect-specific-like viruses, and these more than the dual-host flaviviruses from which they evolved (Figure S5).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationCpA and TpG dinucleotides are overrepresented in small DNA viruses and in the majority of RNA viruses.
“Unexpectedly, CpA and TpG dinucleotides are not only overrepresented in small DNA viruses, which might be explained by the cytosine methylation-deamination-mutation hypothesis (Bird, 1980), but also in the majority of RNA viruses.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bird, 1980 source
May combine two claims.
Findingown dataIn general, human ORFs have higher CPB scores than those of the viruses, and ORFs of RNA viruses have higher CPB scores than those of the DNA viruses.
“In general, human ORFs have higher CPB scores than those of the viruses, and ORFs of RNA viruses have higher CPB scores than those of the DNA viruses.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe majority of human ORFs have a positive CPB value (the CPB average of the entire human ORFeome = 0.075).
“The majority of human ORFs have a positive CPB value (the CPB average of the entire human ORFeome = 0.075).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe average CPB scores of RNA and DNA viruses were correlated with the genome size, ORFeome size, C+G content, and relative abundance of CpG dinucleotides in the viral ORFeome.
“The average CPB scores of RNA (A) and DNA (B) viruses were correlated with the genome size, ORFeome size, C+G content, and relative abundance of CpG dinucleotides in the viral ORFeome.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationArboviruses comprise a large and polyphyletic group of viruses that are transmitted between vertebrate hosts by hematophagous arthropod vectors.
“Arboviruses comprise a large and polyphyletic group of viruses that are transmitted between vertebrate hosts by hematophagous arthropod vectors (Hanley and Weaver, 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hanley and Weaver, 2008 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCpG and TpA dinucleotides are significantly suppressed in the genomes of most RNA and small DNA vertebrate viruses.
“For unknown reasons, CpG and TpA dinucleotides are also significantly suppressed in the genomes of most RNA and small DNA vertebrate viruses (Karlin et al., 1994).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Karlin et al., 1994
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThe slight underrepresentation of codon pairs that have high human CPSs in insect-specific flaviviruses is not a result of selection for codon pairs preferred in mosquitoes but a consequence of nonexistent selection against CpG dinucleotides in viral sequences.
“Therefore, the slight underrepresentation of codon pairs that have high human CPSs in the insect-specific flaviviruses is not a result of selection for codon pairs that are preferred in the mosquitoes but, rather, a consequence of nonexistent selection against CpG dinucleotides in viral sequences.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe similarity in codon pair preferences of arboviruses can simply be explained by suppression of CpG dinucleotides, which concomitantly increases the number of codon pairs that are overrepresented in vertebrates.
“Therefore, as in the human viruses, the similarity in codon pair preferences of arboviruses can simply be explained by suppression of CpG dinucleotides, which concomitantly increases the number of codon pairs that are overrepresented in vertebrates.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Study design and conductnone givenDinucleotides XY with rXY < 0.78 (> 1.25) are considered of low (high) relative abundance because each rXY occurs with the probability of less than 0.001 for sufficiently long ($20 kb) random sequences.
“As a conservative criterion, we considered dinucleotides XY with rXY < 0.78 (> 1.25) of low (high) relative abundance because each rXY occurs with the probability of less than 0.001 for sufficiently long ($20 kb) random sequences.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningAvoidance of TpA reduces the risk of nonsense mutations and increases the stability of RNA.
“Avoidance of TpA reduces the risk of nonsense mutations and increases the stability of RNA.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCpG dinucleotides are underrepresented only in the nuclear DNA of plants and vertebrates as well as in the mitochondrial genomes of all metazoan species, be they invertebrates or vertebrates.
“Although TpA dinucleotides are underrepresented in the genomes of almost all species, CpG dinucleotides are underrepresented only in the nuclear DNA of plants and vertebrates as well as in the mitochondrial genomes of all metazoan species, be they invertebrates or vertebrates (Cardon et al., 1994).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cardon et al., 1994 source
May combine two claims.
InterpretationreasoningAttenuation by SAVE is not caused by impaired gene decoding or protein production but, rather, by a different mechanism.
“The logical implication of this conclusion is that that attenuation by SAVE is not caused by impaired gene decoding or protein production but, rather, by a different mechanism.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAttenuation of vertebrate viruses by SAVE is not caused by increasing non-preferred codon pairs but, rather, by increasing underrepresented dinucleotides.
“This analysis seems to lend further support to our interpretation that attenuation of vertebrate viruses by SAVE is not caused by increasing non-preferred codon pairs but, rather, by increasing underrepresented dinucleotides.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S1 (asserted).
Interpretationown dataCodon pairs that contain CpG or TpA dinucleotides at the codon pair boundary might not be underrepresented in protein coding sequences because they are less fit for encoding proteins but, simply, because CpG and TpA dinucleotides show the highest level of suppression (relative abundance 0.48 and 0.56, respectively).
“Based on our findings, we put forward the hypothesis that codon pairs that contain CpG or TpA dinucleotides at the codon pair boundary might not be underrepresented in protein coding sequences because they are less fit for encoding proteins but, simply, because CpG and TpA dinucleotides show the highest level of suppression (relative abundance 0.48 and 0.56, respectively).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataRandom reshuffling removed codon pair preferences but preserved codon bias; i.e., all ORFs contained exactly the same codons.
“Random reshuffling removed codon pair preferences but preserved codon bias; i.e., all ORFs contained exactly the same codons.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAll four RNA families contain species that do not require an arthropod for transmission, implicating that the arthropod-borne lifestyle evolved several times independently in different groups of viruses.
“all four RNA families contain species that do not require an arthropod for transmission, implicating that the arthropod-borne lifestyle evolved several times independently in different groups of viruses (Hanley and Weaver, 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hanley and Weaver, 2008 source
The paper relies on this without support.
Viruses replicate exclusively inside living cells and depend on the protein synthesis and chaperone machineries of the host.
“Because viruses replicate exclusively inside of living cells and depend on the protein synthesis and chaperone machineries of the host, we speculated that the primary structure of viral genes might be shaped by the same forces that are responsible for the codon pair preferences in genes of their hosts and posited that viral preferences reflect those of their host(s).”
The paper relies on this without support.
Random reshuffling normalizes the relative abundance of dinucleotides at the codon pair boundary.
“Conversely, we expected that viruses with considerable sup-pression of CpG dinucleotides will also have a high DCPB (difference between the CPB of the wild-type and reshuffled ORFeome) because reshuffling normalizes the relative abundance of dinucleotides at the codon pair boundary, and the level of normalization depends on the length and codon bias of the ORF.”
The paper relies on this without support.
The level of normalization of dinucleotide abundance at the codon pair boundary depends on the length and codon bias of the ORF.
“Conversely, we expected that viruses with considerable sup-pression of CpG dinucleotides will also have a high DCPB (difference between the CPB of the wild-type and reshuffled ORFeome) because reshuffling normalizes the relative abundance of dinucleotides at the codon pair boundary, and the level of normalization depends on the length and codon bias of the ORF.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Codon pair preferences and dinucleotide frequencies are tightly linked.
“As codon pair preferences and dinucleotide frequencies are tightly linked, disentangling the effects of two phenomena is exquisitely difficult (Kunec and Osterrieder, 2016;Tulloch et al., 2014).”
From Mechanism of Virus Attenuation by Codon Pair Deoptimization (2020) · cites this paper as Kunec and Osterrieder, 2016
CPD of vertebrate viruses also increases the frequency of TpA/UpA dinucleotides in recoded sequences, albeit to a lesser degree than CpG.
“In addition to CpG dinucleotides, CPD of vertebrate viruses also increases the frequency of TpA/UpA dinucleotides in recoded sequences, albeit to a lesser degree (Kunec and Osterrieder, 2016).”
From Mechanism of Virus Attenuation by Codon Pair Deoptimization (2020) · cites this paper as Kunec and Osterrieder, 2016
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Flaviviridae subgroup counts exceed the stated family total
MinorThe stated Flaviviridae subgroups contain 55 and eight viruses, totaling 63, but the paper reports 62 Flaviviridae viruses in its total of 159.
Reported 62 · recomputed 63
“From the Flaviviridae, we analyzed 55 viruses from the genus Flavivirus and eight mammalian viruses of the genera Pestivirus, Hepacivirus, and Pegivirus.”
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InfluentialVirus-host coevolution: common patterns of nucleotide motif usage in Flaviviridae and their hosts
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BackgroundInfluentialComparisons of eukaryotic genomic sequences.
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BackgroundMarklewitz, M., Zirkel, F., Kurth, A., Drosten, C., & Junglen, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502036112 · Cited by 167 · cited 2× · see citing works
“It is becoming clear thatmany extant RNA vertebrate and plant viruses evolved from insect viruses (Li et al., 2015; Marklewitz et al., 2015).”
BackgroundAttenuation of human respiratory syncytial virus by genome-scale codon-pair deoptimization
Nouën, C. L., Brock, L. G., Luongo, C., McCarty, T. C., Yang, L., Mehedi, M., Wimmer, E., Mueller, S., Collins, P. L., Buchholz, U. J., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1411290111 · Cited by 123 · see citing works
Moura, G., Pinheiro, M., Arrais, J., Gomes, A. C., Carreto, L., Freitas, A., Oliveira, J. L., & Santos, M. A. S. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000847 · Cited by 107 · cited 3× · see citing works
“Dinucleotide bias also appears to be linked with codon pair bias (Moura et al., 2007; Shen et al., 2015), but this relationship has not been thoroughly explored.”
BackgroundYang, C., Skiena, S., Futcher, B., Mueller, S., & Wimmer, E. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307473110 · Cited by 103 · cited 6× · see citing works
“…engineering (SAVE), eliminates many of the drawbacks of traditional vaccine development and has resulted in the generation of superior experimental live virus vaccines (Coleman et al., 2008; Le Nouë n et al., 2014; Mueller et al., 2010; Shen et al., 2015; Wang et al., 2015; Yang et al., 2013).”
BackgroundInfluentialLarge-scale recoding of an arbovirus genome to rebalance its insect versus mammalian preference
Shen, S. H., Stauft, C. B., Gorbatsevych, O., Song, Y., Ward, C. B., Yurovsky, A., Mueller, S., Futcher, B., & Wimmer, E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502864112 · Cited by 99 · cited 21× · see citing works
“Definitions of virus name abbreviations are provided in Table S2. the number of TpA dinucleotides in recoded genes increased only moderately (30%–60% increase over the wild-type), the number of CpG dinucleotides increased dramatically (140%– 360% increase in the case of DENV-2 and 480%–630% in HRSV).”
BackgroundMethodResultInfluentialComparative context analysis of codon pairs on an ORFeome scale
Moura, G., Pinheiro, M., Silva, R., Miranda, I., Afreixo, V., Dias, G., Freitas, A., Oliveira, J. L., & Santos, M. A. (2005) · Genome Biology · doi:10.1186/gb-2005-6-3-r28 · Cited by 90 · cited 2× · see citing works
“Its existence has been known for many years, but its biological significance and the forces that shape this bias are only poorly understood (Moura et al., 2005).”
BackgroundGreenbaum, B. D., Rabadan, R., & Levine, A. J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005969 · Cited by 76 · cited 3× · see citing works
“The alternative theory suggests that the cause of attenuation is to be found in the increased number of CpG (and TpA) dinucleotides, which are recognized by an as yet uncharacterized self-non-self recognition system that stimulates enhanced innate immune responses to such recoded viruses (Atkinson et al., 2014; Greenb…”
BackgroundWang, B., Chen, Y., Tekes, G., Mueller, S., Paul, A. V., Whelan, S. P. J., & Wimmer, E. (2015) · mBio · doi:10.1128/mbio.00237-15 · Cited by 59 · cited 3× · see citing works
“Attenuation by codon pair deoptimization has emerged recently as a strategy for rapid and highly efficacious attenuation of various small RNA viruses (Coleman et al., 2008; Le Nouë n et al., 2014; Mueller et al., 2010; Shen et al., 2015; Wang et al., 2015; Yang et al., 2013).”
BackgroundHanley, K. A., & Weaver, S. C. (2008) · Origin and Evolution of Viruses · doi:10.1016/b978-0-12-374153-0.00016-3 · Cited by 28 · see citing works
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CG dinucleotide suppression enables antiviral defence targeting non-self RNA
Takata, M. A., Gonçalves-Carneiro, D., Zang, T. M., Soll, S. J., York, A., Blanco-Melo, D., & Bieniasz, P. D. (2017) · Nature · doi:10.1038/nature24039 · Cited by 398 · see citing works
Synonymous but Not Silent: The Codon Usage Code for Gene Expression and Protein Folding
Liu, Y., Yang, Q., & Zhao, F. (2021) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-071320-112701 · Cited by 242 · see citing works
“Although codon pair biases in different organisms are influenced by mutational biases (65, 66), evidence suggests that functional selection at the level of translation plays an important role (64).”
BackgroundTranslational Control in Virus-Infected CellsPreprint
Stern‐Ginossar, N., Thompson, S. R., Mathews, M. B., & Mohr, I. (2018) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a033001 · Cited by 201 · see citing works
“However, in addition to codonpair bias and translation efficiency, other viral genome features, such as suppression of CpG and UpA dinucleotide frequencies, and variations in the propensity to mutate, which generate differential access to protein sequence space can contribute to the reduced replication phenotypes (Lau…”
BackgroundPredicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes
Babayan, S. A., Orton, R. J., & Streicker, D. G. (2018) · Science · doi:10.1126/science.aap9072 · Cited by 192 · see citing works
Alexaki, A., Kames, J. M., Holcomb, D. D., Athey, J. C., Santana-Quintero, L. V., Lam, P. V., Hamasaki‐Katagiri, N., Osipova, E., Simonyan, V. V., Bar, H., et al. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.04.021 · Cited by 180 · see citing works
The Yin and Yang of codon usage
Komar, A. A. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw207 · Cited by 175 · see citing works
Analysis of Nipah Virus Codon Usage and Adaptation to Hosts
Khandia, R., Singhal, S., Kumar, U., Ansari, A. I., Tiwari, R., Dhama, K., Das, J., Munjal, A. K., & Singh, R. K. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00886 · Cited by 163 · see citing works
“78 indicate a underrepresentation (Kunec and Osterrieder, 2016).”
Dinucleotide Composition in Animal RNA Viruses Is Shaped More by Virus Family than by Host Species
Giallonardo, F. D., Schlub, T. E., Shī, M., & Holmes, E. C. (2017) · Journal of Virology · doi:10.1128/jvi.02381-16 · Cited by 119 · see citing works
Codon-based indices for modeling gene expression and transcript evolution
Elitzur, S. B., & Tuller, T. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.04.042 · Cited by 108 · see citing works
“From the CPS, a gene score of codon pair bias can be calculated by the average of the CPSs of all codon pairs in the gene [61].”
MethodFunctional RNA during Zika virus infection
Göertz, G. P., Abbo, S. R., Fros, J. J., & Pijlman, G. P. (2017) · Virus Research · doi:10.1016/j.virusres.2017.08.015 · Cited by 95 · see citing works
Odon, V., Fros, J. J., Goonawardane, N., Dietrich, I., Ibrahim, A., Alshaikhahmed, K., Nguyen, D. V., & Peter Simmonds, K. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz581 · Cited by 93 · see citing works
Mechanism of Virus Attenuation by Codon Pair Deoptimization
Groenke, N., Trimpert, J., Merz, S., Conradie, A. M., Wyler, E., Zhang, H., Hazapis, O.-G., Rausch, S., Landthaler, M., Osterrieder, N., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107586 · Cited by 85 · see citing works
“It was discovered, however, that CPD of vertebrate viruses not only affects codon pair bias, but also dramatically increases the number of CpG and, to a lesser degree, TpA (UpA) dinucleotides in recoded sequences (Kunec and Osterrieder, 2016; Tulloch et al., 2014).”
BackgroundInfluentialSelf-citationFicarelli, M., Antzin-Anduetza, I., Hugh-White, R., Firth, A. E., Sertkaya, H., Wilson, H., Neil, S. J. D., Schulz, R., & Swanson, C. M. (2019) · Journal of Virology · doi:10.1128/jvi.01337-19 · Cited by 85 · see citing works
“There is selection against CpG dinucleotides in many vertebrate RNA viruses, and introducing them into viral genomes may allow novel vaccines to be developed (1- 5, 9, 10) .”
BackgroundZika Virus Attenuation by Codon Pair Deoptimization Induces Sterilizing Immunity in Mouse Models
Li, P., Ke, X., Wang, T., Tan, Z., Luo, D., Miao, Y., Sun, J., Zhang, Y., Liu, Y., Hu, Q., et al. (2018) · Journal of Virology · doi:10.1128/jvi.00701-18 · Cited by 74 · see citing works
“Codon pair bias has been suggested to be a direct consequence of CpG/UpA dinucleotide bias (55), and the increased frequency of CpG/UpA dinucleotides may be a key genetic contributor to virus attenuation by codon pair deoptimization (56), although this has been disputed (28, 57).”
BackgroundSequence analysis of SARS-CoV-2 genome reveals features important for vaccine design
Kames, J. M., Holcomb, D. D., Kimchi, O., DiCuccio, M. N., Hamasaki‐Katagiri, N., Wang, T. T., Komar, A. A., Alexaki, A., & Kimchi‐Sarfaty, C. (2020) · Scientific Reports · doi:10.1038/s41598-020-72533-2 · Cited by 73 · see citing works
“Codon pair usage also appears to affect translation efficiency [6] , although the mechanism is not entirely clear, and it has been argued that dinucleotide usage may be the driving force in determining viral sequence fitness, while codon pair bias may be a secondary effect of altered dinucleotide frequency [7] .”
Targeted Restriction of Viral Gene Expression and Replication by the ZAP Antiviral System
Ficarelli, M., Neil, S. J. D., & Swanson, C. M. (2021) · Annual Review of Virology · doi:10.1146/annurev-virology-091919-104213 · Cited by 71 · see citing works
Trimpert, J., Dietert, K., Firsching, T. C., Ebert, N., Thao, T. T. N., Vladimirova, D., Kaufer, S., Labroussaa, F., Abdelgawad, A., Conradie, A. M., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109493 · Cited by 64 · see citing works
“2 Cell Reports 36, 109493, August 3, 2021 genome of SARS-CoV-2 with codon pairs that are the most underrepresented in human genes (Kunec and Osterrieder, 2016).”
BackgroundMethodInfluentialSelf-citationBase Composition and Host Adaptation of the SARS-CoV-2: Insight From the Codon Usage Perspective
Roy, A., Guo, F., Singh, B., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.548275 · Cited by 62 · see citing works
“Codon pair scores were calculated as the natural logarithm of relative synonymous codon pair usage (Kunec and Osterrieder, 2016).”
BackgroundMethodInfluentialFros, J. J., Dietrich, I., Alshaikhahmed, K., Passchier, T. C., Evans, D. J., & Peter Simmonds, K. (2017) · eLife · doi:10.7554/elife.29112 · Cited by 58 · see citing works
“We and others have proposed on bioinformatic and experimental grounds that attenuation associated with unfavoured codon pairs originates from unintentional increase in CpG and UpA dinucleotides (Tulloch et al., 2014; Kunec and Osterrieder, 2016).”
BackgroundResultThe Ongoing Quest to Crack the Genetic Code for Protein Production
Nieuwkoop, T., Finger‐Bou, M., John van der, O. O. S. T., & Claassens, N. J. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.09.014 · Cited by 55 · see citing works
Attenuation of a very virulent Marek's disease herpesvirus (MDV) by codon pair bias deoptimization
Eschke, K., Trimpert, J., Osterrieder, N., & Kunec, D. (2018) · PLoS Pathogens · doi:10.1371/journal.ppat.1006857 · Cited by 53 · see citing works
Self-citationGenetic stability of genome-scale deoptimized RNA virus vaccine candidates under selective pressure
Nouën, C. L., McCarty, T. C., Brown, M., Smith, M. L., Lleras, R. A., Dolan, M. A., Mehedi, M., Yang, L., Luongo, C., Liang, B., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619242114 · Cited by 49 · see citing works
“In addition, recent studies suggested that codon pair bias may be a direct consequence of dinucleotide bias (10), suggesting that the increase in the frequency of CpG and UpA dinucleotides that frequently occurs with CPD may cause attenuation by inducing stronger innate immune responses (11).”
BackgroundTransmission bottlenecks and RNAi collectively influence tick-borne flavivirus evolution
Grubaugh, N. D., Rückert, C., Armstrong, P. M., Bransfield, A. B., Anderson, J. F., Ebel, G. D., & Brackney, D. E. (2016) · Virus Evolution · doi:10.1093/ve/vew033 · Cited by 45 · see citing works
“Mice display a strong underrepresentation of CpG dinucleotide usage compared with Ix. scapularis, while UpA is about equally under-represented in both hosts (Simmen 2008; Kunec and Osterrieder 2016).”
BackgroundMethodInfluentialBrierley, L., & Fowler, A. (2021) · PLoS Pathogens · doi:10.1371/journal.ppat.1009149 · Cited by 44 · see citing works
“, at positions 1–2, 2–3 or 3–1) as dinucleotides spanning adjacent codons may be subject to more extreme biases [45,46].”
BackgroundIncreasing the CpG dinucleotide abundance in the HIV-1 genomic RNA inhibits viral replication
Antzin-Anduetza, I., Mahiet, C., Granger, L. A., Odendall, C., & Swanson, C. M. (2017) · Retrovirology · doi:10.1186/s12977-017-0374-1 · Cited by 39 · see citing works
“However, codon pair bias in RNA viruses has recently been shown to be due CpG and UpA dinucleotide suppression and codon pair deoptimization increases CpG abundance [74, 85].”
BackgroundIntra-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
“A consequence of dinucleotide bias is that certain codon pairs are under-represented (Tulloch, et al. 2014; Kunec and Osterrieder 2016) (so, for example, codon pairs of the conformation NNC-GNN are among the most rarely seen codon pairs in vertebrates (Tats, et al. 2008)).”
BackgroundTrus, I., Udenze, D., Berube, N., Wheler, C. L., Martel, M.-J., Gerdts, V., & Karniychuk, U. U. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2019.03077 · Cited by 40 · see citing works
“In addition to the intriguing questions about virus-host interactions, the rational increase of CpG dinucleotide numbers may become a cutting-edge approach and alternative to traditional live attenuated vaccines (LAVs) (4, 7, 17).”
BackgroundMethodInfluentialDas, J. K., & Roy, S. (2021) · Genomics · doi:10.1016/j.ygeno.2021.05.008 · Cited by 39 · see citing works
“Several bias index96 ing parameters have used such as nucleotide composi97 tion and dinucleotide odd ratio [30], synonymous codon 98 usage pattern [31], effective number of codon usage 99”
Fages‐Lartaud, M., Hundvin, K., & Hohmann‐Marriott, M. F. (2022) · The Plant Journal · doi:10.1111/tpj.15970 · Cited by 39 · see citing works
“Dinucleotide bias at the junction of two adjacent codons is responsible for codon pair bias in eukaryotes, but it is not evident in bacteria (Kunec & Osterrieder, 2016; Moura et al., 2007).”
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
“cerevisiae [47] and that viral codon pair usage bias is dictated primarily by avoiding certain dinucleotides [48].”
BackgroundHost Taxon Predictor - A Tool for Predicting Taxon of the Host of a Newly Discovered Virus
Gałan, W., Bąk, M., & Jakubowska, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-39847-2 · Cited by 35 · see citing works
Attenuation of Human Respiratory Viruses by Synonymous Genome Recoding
Nouën, C. L., Collins, P. L., & Buchholz, U. J. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01250 · Cited by 36 · see citing works
“In (B) , the CPD process (37) may yield CpG dinucleotides at codon boundaries that were shown to be significantly suppressed in wt viruses (36).”
BackgroundEffects of Arbovirus Multi-Host Life Cycles on Dinucleotide and Codon Usage Patterns
Sexton, N. R., & Ebel, G. D. (2019) · Viruses · doi:10.3390/v11070643 · Cited by 35 · 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
Munjal, A. K., Khandia, R., Shende, K., & Das, J. (2020) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2020.104399 · Cited by 30 · see citing works
Kumar, U., Khandia, R., Singhal, S., Puranik, N., Tripathi, M., Pateriya, A. K., Khan, R., Emran, T. B., Dhama, K., Munjal, A. K., et al. (2021) · Cancers · doi:10.3390/cancers13112739 · Cited by 30 · see citing works
Codon Usage Analysis of Pro-Apoptotic Bim Gene Isoforms
Khandia, R., Khan, A. A., Alexiou, A. T., Povetkin, S. N., & Verevkina, M. N. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215691 · Cited by 29 · see citing works
“The odds ratio value of more than 0.78 is called under-representation, and more than 1.23 is called over-representation [30].”
InfluentialComprehensive Analysis of Codon Usage on Porcine Astrovirus
Wu, H., Bao, Z., Mou, C., Chen, Z., & Zhao, J. (2020) · Viruses · doi:10.3390/v12090991 · Cited by 28 · see citing works
Maldonado, L. L., Bertelli, A. M., & Kamenetzky, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-83595-1 · Cited by 26 · see citing works
Khandia, R., Alqahtani, T., & Alqahtani, A. (2021) · Biomedicines · doi:10.3390/biomedicines9081001 · Cited by 26 · see citing works
Nambou, K., & Anakpa, M. (2020) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2020.104471 · Cited by 26 · see citing works
“The ratio of dinucleotide pairs is useful for gaging the preferential use of various dinucleotide pairs in an organism (Kunec and Osterrieder, 2016; Sexton and Ebel, 2019).”
Fan, K., Li, Y., Chen, Z., & Fan, L. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05934-z · Cited by 25 · see citing works
“…adaptation to the tRNA levels and their supply tAI (tRNA Adaptation Index) [29] gtAI (Genetic tRNA Adaptation Index) [30] P2 index [31] Indices based on complex patterns of codon usage GC content [32] ENcp (Effective Number of Codon Pairs) [33] CPS (Codon Pair Score) [34, 35] Codon volatility [36]”
Si, F., Jiang, L., Yu, R., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.738082 · Cited by 23 · see citing works
“The avoidance of the CpG dinucleotide is also commonly observed in many other RNA viruses (Kunec and Osterrieder, 2016; Wang et al., 2016; Roy et al., 2021), and is regarded as another selective pressure contributing in CUB (Gómez et al., 2011; Kumar et al., 2016).”
BackgroundInfluentialRelative synonymous codon usage and codon pair analysis of depression associated genes
Khandia, R., Gurjar, P., Kamal, M. A., & Greig, N. H. (2024) · Scientific Reports · doi:10.1038/s41598-024-51909-8 · Cited by 24 · see citing works
“Contrary to the results of Kunec and Osterrieder 72 and to ours, Franzo et al. 68 found an overrepresentation of GpT dinucleotide.”
BackgroundResultAnalysis of synonymous codon usage in Zika virus
Hussain, S., & Rasool, S. T. (2017) · Acta Tropica · doi:10.1016/j.actatropica.2017.06.006 · Cited by 22 · see citing works
Evolutionary and codon usage preference insights into spike glycoprotein of SARS-CoV-2
Malik, Y. S., Ansari, M. I., Kattoor, J. J., Kaushik, R., Sircar, S., Anbazhagan, S., Tiwari, R., Dhama, K., Ghosh, S., Tomar, S., et al. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa383 · Cited by 22 · see citing works
“The slope of the regression line represents the evolutionary speed of mutation pressure (slope = 0 suggests no effect of mutational pressure) and natural selection (slope = 1 indicates complete neutrality) while the regression coefficient against GC3 represents mutation-selection equilibrium coefficient [58, 64, 83].”
BackgroundAlqahtani, T., Khandia, R., Puranik, N., Alqahtani, A., Almikhlafi, M. A., & Al‐Gahtany, M. (2021) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2004092 · Cited by 20 · see citing works
Evolution 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
“Dinucleotide biases were considered the proposed explanation of nucleotide and codon preferences [48-51].”
BackgroundDengue virus preferentially uses human and mosquito non-optimal codons
Castellano, L. A., McNamara, R. J., Pallarés, H. M., Gamarnik, A. V., Alvarez, D. E., & Bazzini, A. (2024) · Molecular Systems Biology · doi:10.1038/s44320-024-00052-7 · Cited by 20 · see citing works
“…virus attenuation by codon pair deoptimization is driven by increases in CpG/UpA dinucleotide frequencies at the codon pair boundary, making the recoded viruses susceptible to recognition by the host innate immune response (Atkinson et al, 2014; Kunec and Osterrieder, 2016; Tulloch et al, 2014).”
InfluentialHost Adaptive Evolution of Avian-Origin H3N2 Canine Influenza Virus
Guo, F., Roy, A., Wang, R., Yang, J., Zhang, Z., Luo, W., Shen, X., Chen, R., Irwin, D. M., & Shen, Y. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.655228 · Cited by 19 · see citing works
“Dinucleotides with relative abundance > 1.25 were considered to be overrepresented, whereas dinucleotides with relative abundance 0.78 were inferred as underrepresented (Kunec and Osterrieder, 2016).”
BackgroundInfluentialAttenuation of a dengue virus replicon by codon deoptimization of nonstructural genes
Manokaran, G., Sujatmoko, McPherson, K., & Simmons, C. P. (2019) · Vaccine · doi:10.1016/j.vaccine.2019.03.062 · Cited by 19 · 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
“Generally, a few codon pairs are used more than others, and codon pair bias is present in organisms (Kunec and Osterrieder, 2016).”
BackgroundNovel approaches for the rapid development of rationally designed arbovirus vaccines
van Bree, J. W. M., Visser, I., Duyvestyn, J. M., Aguilar-Bretones, M., Marshall, E. M., van Hemert, M. J., Pijlman, G. P., van Nierop, G. P., Kikkert, M., Rockx, B., et al. (2023) · One Health · doi:10.1016/j.onehlt.2023.100565 · Cited by 17 · see citing works
A novel framework for evaluating the performance of codon usage bias metrics
Liu, S. S., Hockenberry, A. J., Jewett, M. C., et al. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2017.0667 · 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
“Because codon-pair bias and dinucleotide frequency are inevitably connected, whether one is generating the other is still in question (37,38,43,44).”
BackgroundΦX174 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
Franzo, G., Tucciarone, C. M., Legnardi, M., & Cecchinato, M. (2021) · BMC Genomics · doi:10.1186/s12864-021-07559-5 · Cited by 17 · see citing works
“A limited role of codon bias in gene expression regulation thus cannot be excluded [54].”
BackgroundGoz, E., Zafrir, Z., & Tuller, T. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty351 · Cited by 16 · see citing works
“These studies revealed numerous examples of viral codon usage either matching or significantly deviating from the codons usage for corresponding organisms from different taxonomic domains (Bahir et al., 2009; Barrai et al., 2008; Carbone, 2008; Cheng et al., 2012; Coleman et al., 2008; Gu et al., 2004; Kunec and Oster…”
BackgroundGupta, S., Paul, K., & Roy, A. (2020) · Genomics · doi:10.1016/j.ygeno.2020.10.013 · Cited by 17 · see citing works
Altering Compositional Properties of Viral Genomes to Design Live-Attenuated Vaccines
Pereira-Gómez, M., Carrau, L., Fajardo, Á., Moreno, P., & Moratorio, G. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.676582 · Cited by 16 · see citing works
“This is because, although in the process of shuffling codons the bias among them is maintained, new CpGs emerge as most underrepresented codon pairs contain this dinucleotide at their boundary (Atkinson et al., 2014; Kunec and Osterrieder, 2016).”
BackgroundNullSeq: A Tool for Generating Random Coding Sequences with Desired Amino Acid and GC Contents
Liu, S. S., Hockenberry, A. J., Lancichinetti, A., Jewett, M. C., & Amaral, L. A. N. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005184 · Cited by 15 · see citing works
Vaz, P. K., Armat, M., Hartley, C. A., et al. (2023) · Journal of General Virology · doi:10.1099/jgv.0.001836 · Cited by 15 · see citing works
Attenuation of Marek's disease virus by codon pair deoptimization of a core gene
Conrad, S. J., Silva, R. F., Hearn, C. J., et al. (2018) · Virology · doi:10.1016/j.virol.2018.01.020 · Cited by 15 · see citing works
Roy, A., Banerjee, R., & Basak, S. (2017) · Frontiers in Microbiology · doi:10.3389/fmicb.2017.01083 · Cited by 14 · see citing works
“Viruses mimic the codon usage profile of their respective hosts and rely largely on the chaperon apparatus of their hosts for proficient replication and enhanced robustness (Kunec and Osterrieder, 2016).”
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
Synonymous Codon Pair Recoding of the HIV-1 env Gene Affects Virus Replication Capacity
Jordan-Paiz, A., Franco, S., & Martı́nez, M. Á. (2021) · Cells · doi:10.3390/cells10071636 · Cited by 13 · see citing works
Khandia, R., Sharma, A., Alqahtani, T., Alqahtani, A., Asiri, Y. I., Alqahtani, S., Alharbi, A. M., & Kamal, M. A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.887929 · Cited by 14 · see citing works
Deep decoding of codon usage strategies and host adaption preferences of soybean mosaic virus
Jiang, L., Zhang, Q., Xiao, S., & Si, F. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.09.179 · Cited by 14 · see citing works
Base composition, adaptation, and evolution of goose astroviruses: codon-based investigation
Guo, F., Yang, J., El‐Aty, A. M. A., Wang, R., & Ju, X. (2023) · Poultry Science · doi:10.1016/j.psj.2023.103029 · Cited by 14 · see citing works
“Underexpression of CpG and UpA motifs has been widely observed in vertebrate genomes, and avoiding these signatures in the genome is an established feature of RNA viruses (Karlin et al., 1994; Kunec and Osterrieder, 2016; Roy et al., 2021; Zhang et al., 2019).”
BackgroundMethodInfluentialAnalysis of Codon Usage and Nucleotide Bias in Middle East Respiratory Syndrome Coronavirus Genes
Hussain, S., Shinu, P., Islam, M. M., Chohan, M. S., & Rasool, S. T. (2020) · Evolutionary Bioinformatics · doi:10.1177/1176934320918861 · Cited by 14 · see citing works
Levy, M. E., Chen, J. W., Kaiser, J. A., Park, H.-S., Liu, X., Yang, L., Santos, C. P., Buchholz, U. J., & Nouën, C. L. (2024) · PLoS Pathogens · doi:10.1371/journal.ppat.1012198 · Cited by 15 · see citing works
Nouën, C. L., Luongo, C., Yang, L., Mueller, S., Wimmer, E., DiNapoli, J. M., Collins, P. L., & Buchholz, U. J. (2019) · Journal of Virology · doi:10.1128/jvi.01296-19 · Cited by 14 · see citing works
“It has also been suggested that CPB would be a direct consequence of dinucleotide bias (3).”
BackgroundReservoir hosts prediction for COVID-19 by hybrid transfer learning model
Yang, Y., Guo, J., Wang, P., Wang, Y., Yu, M., Wang, X., Yang, P., & Sun, L. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103736 · Cited by 13 · see citing works
“According the [52], dinucleotide bias on viral fitness are reported to be strongest at the bridge between neighbouring codons, an extra calculation is made for “bridge” and “non-bridge” codon positions.”
Roy, A., & Staden, J. V. (2019) · Journal of Cellular Biochemistry · doi:10.1002/jcb.29263 · Cited by 13 · see citing works
“78 were considered as underrepresented ones.(41)”
Codon usage behavior distinguishes pathogenic Clostridium species from the non-pathogenic species
Sharma, A., Gupta, S., & Paul, K. (2023) · Gene · doi:10.1016/j.gene.2023.147394 · Cited by 13 · see citing works
Pasin, F. (2021) · Biotechnology Journal · doi:10.1002/biot.202000354 · Cited by 12 · see citing works
Engineering tRNA abundances for synthetic cellular systems
Maheshwari, A. J., Calles, J., Waterton, S. K., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40199-9 · Cited by 11 · see citing works
“We thus limited our experiments to a single reporter gene and were not here able to test if CD-CAD can account for sequence speci fi c factors known to impact elongation rates (e.g., codon pair and dinucleotide biases 38 ).”
An investigation of codon usage pattern analysis in pancreatitis associated genes
Li, Y., Khandia, R., Papadakis, M., Alexiou, A. T., Simonov, A. N., & Khan, A. A. (2022) · BMC Genomic Data · doi:10.1186/s12863-022-01089-z · Cited by 11 · see citing works
“23 indicated dinucleotide underrepresentation and overrepresentation, respectively [40].”
BackgroundGurjar, P., Karuvantevida, N. S., Rzhepakovsky, I. V., Khan, A. A., & Khandia, R. (2023) · Vaccines · doi:10.3390/vaccines11020487 · Cited by 11 · see citing works
“It is a direct cause of dinucleotide bias [18].”
BackgroundCompositional biases and evolution of the largest plant RNA virus order Patatavirales
Qin, L., Ding, S., & He, Z. J. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.124403 · Cited by 11 · see citing works
Insights into Synonymous Codon Usage Bias in Hepatitis C Virus and Its Adaptation to Hosts
Khandia, R., Khan, A. A., Karuvantevida, N. S., Gurjar, P., Rzhepakovsky, I. V., & Legáz, I. (2023) · Pathogens · doi:10.3390/pathogens12020325 · Cited by 11 · see citing works
“Few codon pairs are favored [77,78] while few are avoided [79] than expected in a protein-coding region.”
BackgroundCodon pair bias deoptimization of the major oncogene meq of a very virulent Marek’s disease virus
Khedkar, P. H., Osterrieder, N., & Kunec, D. (2018) · Journal of General Virology · doi:10.1099/jgv.0.001136 · Cited by 11 · see citing works
Self-citationAttenuation of Viruses by Large-Scale Recoding of their Genomes: the Selection Is Always Biased
Osterrieder, N., & Kunec, D. (2018) · Current Clinical Microbiology Reports · doi:10.1007/s40588-018-0080-3 · Cited by 10 · see citing works
“It remains enigmatic why CpG and TpA (UpA) dinucleotides occur at lower frequency also in the genomes of most RNA and small DNA viruses that infect vertebrates [45, 63] .”
BackgroundInfluentialSelf-citationDaron, J., & Bravo, I. G. (2021) · Viruses · doi:10.3390/v13091800 · Cited by 9 · see citing works
“Surprisingly, we did not observe any statistically significant depletion of the UpA dinucleotide in CoV genomes (Figure 3A), while underrepresentation of UpA is a common trend among human RNA virus [57,74].”
BackgroundInfluentialComprehensive Codon Usage Analysis Across Diverse Plant Lineages
Majeed, A., Sharma, V., Rehman, W. U., Kaur, A., Das, S., Joseph, J., Singh, A., & Bhardwaj, P. (2025) · Biochemical Genetics · doi:10.1007/s10528-025-11053-y · Cited by 8 · see citing works
“Similar results were also obtained by Kunec and Osterrieder, (2016) among the different species of vertebrates and arthropods.”
InfluentialEvolution and diversity of nucleotide and dinucleotide composition in poxviruses
Molteni, C., Forni, D., Cagliani, R., Bravo, I. G., & Sironi, M. (2023) · Journal of General Virology · doi:10.1099/jgv.0.001897 · Cited by 8 · see citing works
Udenze, D., Trus, I., Berube, N., & Karniychuk, U. U. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.943481 · Cited by 8 · see citing works
Jia, F., Li, L., Liu, H., et al. (2021) · Molecular Brain · doi:10.1186/s13041-021-00821-7 · Cited by 8 · see citing works
“Codon pair bias (CPB) is a common phenomenon in various species for adjacent codon pairs, which appears with different frequencies in different species [16].”
BackgroundWang, L., Zhao, H., Wang, Z., Ding, S., Qin, L., Jiang, R., Deng, X., He, Z. J., & Li, L. (2023) · Genes · doi:10.3390/genes14091712 · Cited by 7 · see citing works
“The natural logarithm of the ratio of the observed over anticipated occurrences of a specific codon pair is known as the codon pair score (CPS) [31].”
BackgroundInfluentialPaget‐Bailly, P., Helpiquet, A., Decourcelle, M., Bories, R., & Bravo, I. G. (2025) · Protein Science · doi:10.1002/pro.70036 · Cited by 7 · see citing works
Generation of CpG-Recoded Zika Virus Vaccine Candidates
Trus, I., Udenze, D., & Karniychuk, U. U. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1884-4_14 · Cited by 7 · see citing works
Wang, Y., Chi, C., Zhang, J., Zhang, K., Deng, D., Zheng, W., Chen, N., Meurens, F., & Zhu, J. (2024) · Microbial Genomics · doi:10.1099/mgen.0.001186 · Cited by 7 · see citing works
“Dinucleotides displaying a relative abundance >1.25 were identified as overrepresented, while those with a relative abundance <0.78 were characterized as underrepresented [23].”
BackgroundInfluentialComparative genome wise analysis of codon usage of Staphylococcus Genus
Arora, P., Mukhopadhyay, C. S., & Kaur, S. (2024) · Current Genetics · doi:10.1007/s00294-024-01297-3 · Cited by 8 · see citing works
“The Relative Synonymous Codon Pair Usage (RSCPU), frequently employed to assess the ratio of observed to expected frequencies of specific codon pairs, was utilized in this study (Kunec and Osterrieder 2016; Zhang et al. 2022).”
Padhiar, N. H., Ghazanchyan, T., Fumagalli, S. E., et al. (2025) · Virus Evolution · doi:10.1093/ve/veae115 · Cited by 7 · see citing works
“Bias in dinucleotide usage has been reported with low (but temporally consistent) numbers of CpG dinucleotides (Kumar et al. 2022) and may be correlated with codon pair bias (Kunec and Osterrieder 2016).”
Wu, W., Ge, X., Zhang, Y., Han, J., Guo, X., Zhou, L., & Yang, H. (2021) · Viruses · doi:10.3390/v13061044 · Cited by 7 · see citing works
Zhang, Z., Guo, F., Roy, A., Yang, J., Luo, W., Shen, X., Irwin, D. M., Chen, R., & Shen, Y. (2021) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2021.105067 · Cited by 7 · see citing works
Dicodon-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
Decoding 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
Evolution shapes and conserves genomic signatures in viruses
Holmudden, M., Gustafsson, J., Bertrand, Y., Schliep, A., & Norberg, P. (2024) · Communications Biology · doi:10.1038/s42003-024-07098-1 · Cited by 8 · see citing works
A Codon-Pair Bias Associated With Network Interactions in Influenza A, B, and C Genomes
Plant, E. P., & Ye, Z. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.699141 · Cited by 6 · see citing works
“Low Frontiers in Genetics | www.frontiersin.org 4 July 2021 | Volume 12 | Article 699141 CG dinucleotide content has been reported in a wide range of viral genomes (Kunec and Osterrieder, 2016).”
BackgroundInfluential
- Authors
- Kunec, D., & Osterrieder, N.
- Affiliations
- Freie Universität Berlin (DE)
- Corresponding author
- Osterrieder, Nikolaus
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 14
- Issue
- 1
- Pages
- 55-67
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2282841281
- Semantic Scholar
- 47bbe0e84c5595364614e5adf03581cdb002ff90
- Cited by
- 159
- References
- 32
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 15 · 2023: 16 · 2022: 11 · 2021: 38 · 2020: 15 · 2019: 14 · 2018: 12 · 2017: 8 · 2016: 4
- FWCI
- 3.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Refubium (Universitätsbibliothek der Freien Universität Berlin) (submittedVersion, cc-by-nc-nd)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
- Keywords
- codon pair bias, viral attenuation, arboviruses
- MeSH terms
- Animals, Arboviruses, Codon, Humans, Insecta, Models, Genetic, Species Specificity
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