ENC Values Research Articles

Patterns in Genome-Wide Codon Usage Bias in Representative Species of Lycophytes and Ferns.

The latest research shows that ferns and lycophytes have distinct evolutionary lineages. The codon usage patterns of lycophytes and ferns have not yet been documented. To investigate the gene expression profiles across various plant lineages with respect to codon usage, analyze the disparities and determinants of gene evolution in primitive plant species, and identify appropriate exogenous gene expression platforms, the whole-genome sequences of four distinct species were retrieved from the NCBI database. The findings indicated that Ceratopteris richardii, Adiantum capillus-veneris, and Selaginella moellendorffii exhibited an elevated A/U content in their codon base composition and a tendency to end with A/U. Additionally, S. capillus-veneris had more C/G in its codons and a tendency to end with C/G. The ENC values derived from both ENC-plot and ENC-ratio analyses deviated significantly from the standard curves, suggesting that the codon usage preferences of these four species were primarily influenced by genetic mutations and natural selection, with natural selection exerting a more prominent influence. This finding was further supported by PR2-Plot, neutrality plot analysis, and COA. A combination of RSCU and ENC values was used as a reference criterion to rank the codons and further identify the optimal codons. The study identified 24 high-frequency codons in C. richardii, A. capillus-veneris, and Diphasiastrum complanatum, with no shared optimal codons among the four species. Arabidopsis thaliana and Ginkgo biloba exhibited similar codon preferences to the three species, except for S. moellendorffii. This research offers a theoretical framework at the genomic codon level for investigating the phylogenetic relationships between lycophytes and ferns, shedding light on gene codon optimization and its implications for genetic engineering in breeding.

Bioinformatic Analysis of Codon Usage Bias of HSP20 Genes in Four Cruciferous Species.

Heat shock protein 20 (HSP20) serves as a chaperone and plays roles in numerous biological processes, but the codon usage bias (CUB) of its genes has remained unexplored. This study identified 140 HSP20 genes from four cruciferous species, Arabidopsis thaliana, Brassica napus, Brassica rapa, and Camelina sativa, that were identified from the Ensembl plants database, and we subsequently investigated their CUB. As a result, the base composition analysis revealed that the overall GC content of HSP20 genes was below 50%. The overall GC content significantly correlated with the constituents at three codon positions, implying that both mutation pressure and natural selection might contribute to the CUB. The relatively high ENc values suggested that the CUB of the HSP20 genes in four cruciferous species was relatively weak. Subsequently, ENc exhibited a negative correlation with gene expression levels. Analyses, including ENc-plot analysis, neutral analysis, and PR2 bias, revealed that natural selection mainly shaped the CUB patterns of HSP20 genes in these species. In addition, a total of 12 optimal codons (ΔRSCU > 0.08 and RSCU > 1) were identified across the four species. A neighbor-joining phylogenetic analysis based on coding sequences (CDS) showed that the 140 HSP20 genes were strictly and distinctly clustered into 12 subfamilies. Principal component analysis and cluster analysis based on relative synonymous codon usage (RSCU) values supported the fact that the CUB pattern was consistent with the genetic relationship at the gene level and (or) species levels. These results will not only enrich the HSP20 gene resource but also advance our understanding of the CUB of HSP20 genes, which may underlie the theoretical basis for exploration of their genetic and evolutionary pattern.

A detailed analysis of codon usages bias and influencing factors in the nucleocapsid gene of Nipah Virus

Several outbreaks of Nipah Virus (NiV) have recently been reported in various parts of the world including India. The 18.2-kb size single-stranded negative-sense RNA genome of NiV has six genes that encode nine proteins. Among nine, the nucleoprotein (N) protein is the most abundant viral protein. The relative availability of N protein is a determining factor for the activation of genome encapsidation, replicase activity, and regulating viral RNA synthesis. In this study, we have conducted a codon usage analysis of N protein-encoding gene (N gene) of NiV. The relative synonymous codon usage (RSCU) values, in combination with an ENC value of 51.048, represented low codon usage bias in the N gene. The effect of mutational pressure on codon usage bias was confirmed by significant correlations of GC3s, G3s, C3s, A3s, U3s, and ENC values with whole nucleotide contents (GC%, G%, C%, A%, and U%). Correlation study of GC3s, G3s, C3s, A3s, and U3s with axis values of correspondence analysis (CA) also supported the role of mutational pressure. The correlation study of Gravy values with GC3s, G3s, C3s, A3s, and U3s revealed the presence of natural selection in addition to mutational pressure on codon usage bias. Moreover, NiV codon adaptation index (CAI) value higher than their corresponding expected CAI (eCAI) values against human (CAI, 0.726; eCAI, 0.715), pig (CAI, 0.837; eCAI, 0.819), and bat (CAI, 0.762; eCAI, 0.750) also indicated natural selection play role on codon usage bias. Additionally, geographical distribution, and evolutionary processes also influenced the codon usage bias to some extent.

Comprehensive examination on codon usage bias pattern of the Bovine Ephemeral fever virus

Bovine Ephemeral Fever Virus (BEFV) is a non-contagious virus that commonly infects cattle and water buffalo, reduces milk productivity, decreases the quality of beef, and causes an adverse economic impact on the global livestock industry. However, the evolution of BEFV is unclear, and uncertainty exists regarding its global geodynamics. Consequently, this study aims to comprehend the pattern of viral evolution and gene expression in the BEFV genes G, M, N, and P, including synonymous codons. Additionally, we performed recombination analyses, which exclusively detected recombination signals in the G- and P-genes. Subsequently, a phylogenetic tree was constructed to validate and support these findings. The codon usage bias results showed that the BEFV-selected genes were influenced by both natural and mutation pressure. Furthermore, nucleotide A is more abundant in all the selected genes. The eNC values, ranging from 42.99 to 47.10, revealed the presence of moderate codon usage bias, where gene P exhibited the highest and gene G had the lowest codon usage bias. The neutrality and PR-2 plots, specified codon usage patterns of the genes, are also being shaped by strong selectional pressure. This comprehensive analysis of BEFV genes (G, M, N, and P) sheds light on the molecular evolutionary patterns, co-adaptation, and different genes expression in diverse regions, facilitating the development of preventative programs and insights into viral pathogenesis and vaccine design. Communicated by Ramaswamy H. Sarma

Plastome evolution and phylogenomics of Trichosporeae (Gesneriaceae) with its morphological characters appraisal.

Trichosporeae is the largest and most taxonomically difficult tribe of Gesneriaceae due to its diverse morphology. Previous studies have not clarified the phylogenetic relationships within this tribe on several DNA markers, including the generic relationships within subtribes. Recently, plastid phylogenomics have been successfully employed to resolve the phylogenetic relationships at different taxonomic levels. In this study, plastid phylogenomics were used to explore the relationships within Trichosporeae. Eleven plastomes of Hemiboea were newly reported. Comparative analyses, phylogeny and morphological character evolution within Trichosporeae were conducted on 79 species representing seven subtribes. The Hemiboea plastomes range from 152,742 bp to 153,695 bp in length. Within Trichosporeae, the sampled plastomes range from 152,196 bp to 156,614 bp and GC content from 37.2% to 37.8%. A total of 121-133 genes were annotated in each species, including 80-91 protein-coding genes, 34-37 tRNA genes, and 8 rRNA genes. The contraction and expansion of IR borders were not detected, and gene rearrangements and inversions did not occur. The 13 hypervariable regions were proposed as the potential molecular markers for species identification. A total of 24,299 SNPs and 3,378 indels were inferred, and most of the SNPs were functionally missense and silent variations. There were 1968 SSRs, 2055 tandem repeats and 2802 dispersed repeats. The RSCU and ENC values indicated that the codon usage pattern was conserved in Trichosporeae. Both the phylogenetic frameworks based on the whole plastome and 80 CDSs were basically concordant. The sister relationships between Loxocarpinae and Didymocarpinae were confirmed, and Oreocharis was a sister group of Hemiboea with high support. The morphological characters showed a complex evolutionary pattern of Trichosporeae. Our findings may contribute to future research on genetic diversity, morphological evolutionary patterns, and conservation of the tribe Trichosporeae.

Ten Plastomes of Crassula (Crassulaceae) and Phylogenetic Implications.

The genus Crassula is the second-largest genus in the family Crassulaceae, with about 200 species. As an acknowledged super-barcode, plastomes have been extensively utilized for plant evolutionary studies. Here, we first report 10 new plastomes of Crassula. We further focused on the structural characterizations, codon usage, aversion patterns, and evolutionary rates of plastomes. The IR junction patterns-IRb had 110 bp expansion to rps19-were conservative among Crassula species. Interestingly, we found the codon usage patterns of matK gene in Crassula species are unique among Crassulaceae species with elevated ENC values. Furthermore, subgenus Crassula species have specific GC-biases in the matK gene. In addition, the codon aversion motifs from matK, pafI, and rpl22 contained phylogenetic implications within Crassula. The evolutionary rates analyses indicated all plastid genes of Crassulaceae were under the purifying selection. Among plastid genes, ycf1 and ycf2 were the most rapidly evolving genes, whereas psaC was the most conserved gene. Additionally, our phylogenetic analyses strongly supported that Crassula is sister to all other Crassulaceae species. Our findings will be useful for further evolutionary studies within the Crassula and Crassulaceae.

Comparative Analysis on the Codon Usage Pattern of the Chloroplast Genomes in Malus Species.

Codon usage bias of coding sequences has been usually used for exploring the evolutionary factors that affect the variation of genes. We took 20 chloroplast genomes of Malus species into account to explore the codon usage patterns, including the composition, relationship between GC3s and effective number of codons, the parity rule two analyses, the relative synonymous codon usage, the codon adaptation index, the frequency of optimal codons, the codon bias index, etc., of their coding genes. The relationship between GC3 and the ENC values showed that when the separate genes are concerned, the distribution of their GC3 contents is relatively concentrated and the distribution of the ENC values are from 35 to 61 or so. The neutrality plot showed that the correlation coefficient between GC12 and GC3 is 0.095, revealing the mutation factor played a weak role in codon pattern formation. Correspondence analysis results revealed that the codon usage patterns in the chloroplast genomes of Malus species are similar. All these results showed that all Malus chloroplast genomes are AT rich ones, the third bases of the codons are affected by the natural selection pressure, the first two nucleotide base of the codon are affected by mutation pressure. Some genes, such as the rsp7, psbA and ycf2 are of lower codon usage divergences, while the rps12, rps16 and ndhD are of higher codon usage divergences. Codon usage bias exists in the Malus genomes could be used for exploring the evolutionary characteristics in chloroplast genomes and for further study on evolutionary phenomenon in other species.

Natural selection plays a significant role in governing the codon usage bias in the novel SARS-CoV-2 variants of concern (VOC).

The ongoing prevailing COVID-19 pandemic caused by SARS-CoV-2 is becoming one of the major global health concerns worldwide. The SARS-CoV-2 genome encodes spike (S) glycoprotein that plays a very crucial role in viral entry into the host cell via binding of its receptor binding domain (RBD) to the host angiotensin converting enzyme 2 (ACE2) receptor. The continuously evolving SARS-CoV-2 genome results in more severe and transmissible variants characterized by the emergence of novel mutations called ‘variants of concern’ (VOC). The currently designated alpha, beta, gamma, delta and omicron VOC are the focus of this study due to their high transmissibility, increased virulence, and concerns for decreased effectiveness of the available vaccines. In VOC, the spike (S) gene and other non-structural protein mutations may affect the efficacies of the approved COVID-19 vaccines. To understand the diversity of SARS-CoV-2, several studies have been performed on a limited number of sequences. However, only a few studies have focused on codon usage bias (CUBs) pattern analysis of all the VOC strains. Therefore, to evaluate the evolutionary divergence of all VOC S-genes, we performed CUBs analysis on 300,354 sequences to understand the evolutionary relationship with its adaptation in different hosts, i.e., humans, bats, and pangolins. Base composition and RSCU analysis revealed the presence of 20 preferred AU-ended and 10 under-preferred GC-ended codons. In addition, CpG was found to be depleted, which may be attributable to the adaptive response by viruses to escape from the host defense process. Moreover, the ENC values revealed a higher bias in codon usage in the VOC S-gene. Further, the neutrality plot analysis demonstrated that S-genes analyzed in this study are under 83.93% influence of natural selection, suggesting its pivotal role in shaping the CUBs. The CUBs pattern of S-genes was found to be very similar among all the VOC strains. Interestingly, we observed that VOC strains followed a trend of antagonistic codon usage with respect to the human host. The identified CUBs divergence would help to understand the virus evolution and its host adaptation, thus help design novel vaccine strategies against the emerging VOC strains. To the best of our knowledge, this is the first report for identifying the evolution of CUBs pattern in all the currently identified VOC.

Codon usage patterns and evolution of HSP60 in birds

Heat shock protein 60 (HSP60) is highly conserved from prokaryotic to eukaryotic organisms, acting as molecular chaperone and other vital biological functions. In spite of increasing knowledge of HSP60, its evolutionary mechanism on functional adaption is still far from completely understood. Moreover, analysis of codon usage bias (CUB) is a powerful tool to understand evolutionary association studies. However, so far, as we know, no scientific work on CUB of HSP60 in birds has been reported. In this study, we provide a comprehensive analysis on the codon usage and molecular evolution of HSP60 across birds. The results indicated that HSP60 had a weak codon usage bias with high ENC values (range from 52.66 to 61), low RSCU, and A/T-ending codons were mostly preferred. Meanwhile, it was considered that mutation, natural selection, and genetic drift combined to shape codon usage patterns with different strength proportions among various birds for HSP60. Then, the LRT tests suggested that different lineages of birds might be under similar selective pressures. Besides, the two positive selection sites (151 and 131) were detected and might undergo radical changes. These findings would contribute to understand function diversity and molecular evolution of HSP60 in birds.

Allele frequency analysis of GALC gene causing Krabbe disease in human and its codon usage

Krabbe disease is one of the rarest autosomal recessive disorders in human, caused by mutation in the GALC (β-galactosylceramidase) gene, resulting in several mental and physical health issues. Due to its rarity and phenotypic heterogeneity, diagnosis rate of this disease is very low. This study generated information on the recessive allele frequency dynamics of GALC gene across 15 global populations, with the highest frequency detected in Druze (Israel) population and the lowest frequency in Turkey and the United States. The recessive allele would take more time period (about 24,975 years) to be completely removed from the population having the lowest frequency and vice versa. The codon usage patterns of four isoforms of GALC gene revealed that a few synonymous codons were used more frequently than others in the isoforms. The codon AGA (arginine) was found to be overrepresented in GALC gene, except for galactocerebrosidase isoform a precursor. Further, GALC gene showed low codon usage bias (CUB) as evident from high ENC values (55.7–58.2), with A/T ending codons more preferred to G/C ending codons. CUB analysis elucidated the dual role of mutational pressure (major role) and natural selection (minor role) in GALC gene evolution.

Analysis of Synonymous Codon Usage Bias in Flaviviridae Virus.

Background Flaviviridae viruses are single-stranded, positive-sense RNA viruses, which threat human constantly mediated by mosquitoes, ticks, and sandflies. Considering the recent increase in the prevalence of the family virus and its risk potential, we investigated the codon usage pattern to understand its evolutionary processes and provide some useful data to develop the medications for most of Flaviviridae viruses. Results The overall extent of codon usage bias in 65 Flaviviridae viruses is low with the average value of GC contents being 50.5% and the highest value being 55.9%; the lowest value is 40.2%. ENC values of Flaviviridae virus genes vary from 48.75 to 57.83 with a mean value of 55.56. U- and A-ended codons are preferred in the Flaviviridae virus. Correlation analysis shows that the positive correlation between ENC value and GC content at the third nucleotide positions was significant in this family virus. The result of analysis of ENC, neutrality plot analysis, and correlation analysis revealed that codon usage bias of all the viruses was affected mainly by natural selection. Meanwhile, according to correspondence analysis (CoA) based on RSCU and phylogenetic analysis, the Flaviviridae viruses mainly are made up of two groups, Group I (Yellow fever virus, Apoi virus, Tembusu virus, Dengue virus 1, and others) and Group II (West Nile virus lineage 2, Japanese encephalitis virus, Usutu virus, Kedougou virus, and others). Conclusions All in, the bias of codon usage pattern is affected not only by compositional constraints but also by natural selection. Phylogenetic analysis also illustrates that codon usage bias of virus can serve as an effective means of evolutionary classification in Flaviviridae virus.

Analysis of codon usage in the mitochondrion genome of Spirodela polyrhiza

In this study, investigation into the characteristics of codon bias and factors in shaping the codon usage pattern of the mitochondrial genome of Spirodela polyrhiza L. Schleid (strain 7498) was performed. S. polyrhiza had a very high GC content of 45.7% in the mitochondrial genome. Compared with other monocots whose mitochondrial genomes have been sequenced, the GC contents of mitochondrial genome of monocots seem to have a decreasing trend as the molecular evolution, and then finally trend to stable at about 44%. The mitochondrion of S. polyrhiz had extremely narrow GC3s distributions from 0.212 to 0.433, if taking no account of SpMatR (0.559) which was the only protein-coding genes with G/C-biased codon usages. The neutrality plot (GC12 vs. GC3s) indicated that there was no correlation between GC12 and GC3s, suggesting there was little directional mutation pressure on the mitochondrial genome of S. polyrhiza. The ENC-plot (ENC vs. GC3s) showed that there were only a small number of genes lying on the expected curve, but a majority of the points with low ENC values lied well below the expected curve. According to the frequency distributions of the ENC ratio, the dataset displayed a single peak, and the most of genes located into a narrow region of ENC ratios between 0–0.1. Context-dependent mutation was analyzed by Chi square test for contingency tables at the four fold degenerate (FFD) sites, suggesting that the frequencies of N3-position bases were definitely not independent of the N2-position bases. Correspondence analysis (COA) of relative synonymous codon usage (RSCU) yielded a first axis which accounted for only13.23% of the total variation. These results suggested that although other factors might play a role in the mitochondrion evolution of S. polyrhiza, mutation press still was the major factor in shaping the codon usage. Meantime, six codons including UUA(Leu), CAU(His), CGU(Arg), AUU(Ile), GCU(Ala) and GAA(Glu) were determined as the “optimal codons” (p < 0.01). Among them, the codon UUA(Leu), its usage was significantly more often in highly biased genes than in lowly.

Species specificity and host affinity rather than tissue tropism controls codon usage pattern in respiratory mycoplasmosis

Respiratory Mycoplasmosis (rMyc) is a devastating respiratory disease causing serious pneumonia in camels, cattle and human causing fatalities and high economic loss. Codon usage pattern is an important measure of host-parasite relationship, parasites adaptation and evolution. In this work, two important species of rMyc affecting human (Mycoplasma pneumoniae) and camels (Mycoplasma mycoides) were analysed for finding their codon usage bias, factors affecting their genomes composition and their relation to their host including adaptation and disease pathogenesis. In spite of their reduced genome size, rMyc showed comprehensive and host-independent codon usage machinery with wide variability and incompatibility with their host pattern. Although, rMyc are common infectious agents of respiratory tract, they showed completely diverse codon usage, adaptation and pathogenesis profiles. M. mycoides showed strict highly biased A/T selection in their genomic composition, preferred codons and at the 3rd position of codons as well as highly divergent codon usage pattern compared with its host. M. pneumoniae showed more attempts in adaptation to mammalian host environment by showing codon usage pattern almost similar to their host. High GC content in genome, low number of overbiased and underbiased codons, high ENc values and balanced use of GC and AT in preferred codons N3s were among the factors of adaptation to its habitat. There was immune selection among rMyc. M. mycoides is more immune resistant by showing lower CpG dinucleotide frequency compared with M. pneumoniae. The higher and faster gene expression in M. mycoides, and to a lesser extent M. pneumoniae, devoted from low ENc values accounts for high pathogenicity and acute disease. Common evolutionary origin and variable codon usage indices account for variable attempts among Mycoplasma species to adapt their habitat regardless their tissue tropism or host specificity.

A cross-talk on compositional dynamics and codon usage patterns of mitochondrial CYB gene in Echinodermata

Codon usage bias (CUB) refers to a phenomenon in which some synonymous codons are used in mature mRNA at a higher frequency than other members codifying the same amino acid. CUB is mainly determined by mutation pressure and natural selection. We used bioinformatic tools to analyze the protein coding sequences of mitochondrial CYB gene in different classes of Echinodermata to understand the patterns of codon usage. The ENC values of CYB gene in five different classes of Echinodermata were 41.64, 30.33, 43.63, 41.11, and 41.33, which suggested that the CUB of this gene was low. The relative synonymous codon usage (RSCU) values showed that the patterns of over-represented and under-represented codons were different among different classes. Correspondence analysis indicated that the plots of CYB gene were different across classes, suggesting that the pattern of codon usage was also different among five classes under study. Highly significant correlation (p < .01) between overall nucleotide composition and its 3rd codon position indicated that both mutational pressure and natural selection had an influence on the codon usage bias of CYB gene. Furthermore, PR-2 bias plot analysis showed that both mutation pressure and natural selection might have affected the pattern of codon usage in CYB gene of Echinodermata.

Codon usage variation of Zika virus: The potential roles of NS2B and NS4A in its global pandemic

A comprehensive demonstration of Zika virus (ZIKV) molecular evolution is essential for understanding its adaptation and expansion in its recent pandemics. Despite several studies on mutations and codon usage in ZIKVs, the variations in codon usage patterns across individual genes and their biological implication remains unclear. Here, we performed a gene-by-gene comparison of the codon usage variation in ZIKVs of the African and Asian lineages. We found that besides the evidence of positive selection (Ka/Ks >1) in the Asian lineage of the ZIKV genome, codon usage patterns were gene-specific and codon usage variation of ZIKV genes, was possibly constrained by their individual functional features, such as transmembrane domains, or antigenicity. In particular, the NS2B and NS4A genes showed distinct codon usage patterns, clearly separating them from the clusters of other genes in the correspondence analysis (CA). In the Asian lineage, the NS2B and NS4A genes showed the highest codon usage bias (ENC values: 51.01 ± 0.72 and 48.89 ± 0.99 respectively), and were subjected to the highest translation selection (ENCobs/ENCexp ratio: 0.847 ± 0.0297 and 0.828 ± 0.0233 respectively) in comparison to the African lineages of ZIKV. The CpG frequency of the NS2B showed a gradual ascending trend in the Asian ZIKV lineages, while in NS4A it was constrained along with the expansion of the Asian lineage. Furthermore, between the African and Asian lineages, differentiated and specific over-represented codons were more prominent in the NS2B and NS4A. Together, our study implies that ZIKVs are in the process of evolutionary fine tuning their codon as seen in the recent pandemics, and NS2B and NS4A could have played a potential role in the molecular evolution of the Asian lineage and their establishment.

Comparative study of Codon usage pattern and compositional distribution between whole genome and virulence gene set of &lt;i&gt;Vibrio cholerae N16961&lt;/i&gt;

Vibrio cholerae is the pathogenic organism causes cholera, a severe diarrheal disease. Occurs frequently in southern Asia. Vibrio cholerae has both pathogenic and nonpathogenic strains that vary in their virulence gene content. Great variety of strains and biotypes of Vibrio cholerae are found. These varieties are involve in shuffling of different pathogenic factors among them such as receiving and transferring genes for toxins, colonization factors, antibiotic resistance, capsular polysaccharides which giving resistance to chlorine 7 and new surface antigens, such as the 0139 lip polysaccharide and O antigen capsule. Different mode of transfer of these virulence gene i.e. lateral and horizontal transfer by phase, collection of pathogenic genes and other accessory genetic element, pave the way to understand how bacterial pathogen develop its Pathogenicity and become a new strain. To provide a insights into the genetic features and the relationship between the overall codon usage pattern of virulence gene set (VGS).We measure the GC content of VGS which shows that there is no any difference between GC content of whole genome and VGS .It also has been found that GC content shows the similar distribution among the CDS of both whole genome and Virulence gene set. A correlation analysis between the A3s, T3s, G3s, C3s, and GC3s, the ENC values, and the nucleotide contents (A%, T%, G%, C%, and GC %) indicated that mutational bias plays role in shaping the VGS codon usage bias.

Characterization of the porcine epidemic diarrhea virus codon usage bias

Porcine epidemic diarrhea virus (PEDV) has been responsible for several recent outbreaks of porcine epidemic diarrhea (PED) and has caused great economic loss in the swine-raising industry. Considering the significance of PEDV, a systemic analysis was performed to study its codon usage patterns. The relative synonymous codon usage value of each codon revealed that codon usage bias exists and that PEDV tends to use codons that end in T. The mean ENC value of 47.91 indicates that the codon usage bias is low. However, we still wanted to identify the cause of this codon usage bias. A correlation analysis between the codon compositions (A3s, T3s, G3s, C3s, and GC3s), the ENC values, and the nucleotide contents (A%, T%, G%, C%, and GC%) indicated that mutational bias plays role in shaping the PEDV codon usage bias. This was further confirmed by a principal component analysis between the codon compositions and the axis values. Using the Gravy, Aroma, and CAI values, a role of natural selection in the PEDV codon usage pattern was also identified. Neutral analysis indicated that natural selection pressure plays a more important role than mutational bias in codon usage bias. Natural selection also plays an increasingly significant role during PEDV evolution. Additionally, gene function and geographic distribution also influence the codon usage bias to a degree.

Compositional Constraint Is the Key Force in Shaping Codon Usage Bias in Hemagglutinin Gene in H1N1 Subtype of Influenza A Virus.

It is vital to unravel the codon usage bias in order to gain insights into the evolutionary forces dictating the viral evolution process. Influenza A virus has attracted attention of many investigators over the years due to high mutation rate and being cross-specific shift operational in the viral genome. Several authors have reported that the codon usage bias is low in influenza A viruses, citing mutational pressure as the decisive force shaping up the codon usage in these viruses. In this study, complete coding sequences of hemagglutinin genes for H1N1 subtype of influenza A virus have been explored for the possible codon usage bias acting upon these genes. The results indicate overall low bias with peaking ENC values. The GC content is found to be substantially low as against AT content in the silent codon sites. Significant correlations were observed in between the compositional parameters versus AT3, implying the possible role of the latter in shaping codon usage profile in the viral hemagglutinin. The data showed conspicuously that the sequences were A redundant with most codons preferring nucleotide A over others in the third synonymous codon site. The results indicated the pivotal role of compositional pressure affecting codon usage in this virus.

Characterization of Codon Usage Bias in the UL17 Gene of Duck Enteritis Virus

The analysis on codon usage bias of UL17 gene of duck enteritis virus (DEV) may provide a basis for understanding the relevant mechanism for its biased usage of synonymous codons and for selecting appropriate host expression systems to improve the expression of DEV UL17 gene. In this study the results indicate that codon usage bias of DEV UL17 gene strongly preferred to the synonymous with A and T at third codon position. The ENC values and GC3S contents of the codon usage bias of UL17 genes in DEV and the 20 reference herpesviruses were obviously different. In addition, we compared the codon usage bias of DEV UL17 gene with E.coli, yeast and human. There are 25 codons showing distinct usage differences between DEV and E. coli, 17 codons between DEV and yeast, 23 codons between DEV and human. Therefore, the yeast expression system is more suitable for heterologous expression of the DEV UL17 gene.

Analysis of codon usage patterns of the chloroplast genomes in the Poaceae family

Codon usage patterns of 23 Poaceae chloroplast genomes were analysed in this study. Neutrality analysis indicated that the codon usage patterns have significant correlations with GC12 and GC3 and also showed strong bias towards a high representation of NNA and NNT codons. The Nc-plot showed that although a large proportion of points follow the parabolic line of trajectory, several genes with low ENc values lie below the expected curve, suggesting that mutational bias played a major role in the codon biology of the Poaceae chloroplast genome. Parity Rule 2 plot analysis showed that T was used more frequently than A in all the genomes. Correspondence analysis of relative synonymous codon usage indicated that the first axis explained only a partial amount of variation of codon usage. Furthermore, the gene length and expression level were also found to drive codon usage variation. These findings revealed that besides natural selection, other factors might also exert some influences in shaping the codon usage bias in Poaceae chloroplast genomes. The optimal codons of these 23 genomes were also identified in this study.