Analysis of codon usage in bovine viral diarrhea virus

Analysis of codon usage patterns in open reading frame 4 of hepatitis E viruses

Background

Hepatitis E virus (HEV) is a member of the family Hepeviridae and causes acute HEV infections resulting in thousands of deaths worldwide. The zoonotic nature of HEV in addition to its tendency from human to human transmission has led scientists across the globe to work on its different aspects. HEV also accounts for about 30% mortality rates in case of pregnant women. The genome of HEV is organized into three open reading frames (ORFs): ORF1 ORF2 and ORF3. A reading frame encoded protein ORF4 has recently been discovered which is exclusive to GT 1 isolates of HEV. The ORF4 is suggested to play crucial role in pregnancy-associated pathology and enhanced replication. Though studies have documented the ORF4’s importance, the genetic features of ORF4 protein genes in terms of compositional patterns have not been elucidated. As codon usage performs critical role in establishment of the host–pathogen relationship, therefore, the present study reports the codon usage analysis (based on nucleotide sequences of HEV ORF4 available in the public database) in three hosts along with the factors influencing the codon usage patterns of the protein genes of ORF4 of HEV.

Results

The nucleotide composition analysis indicated that ORF4 protein genes showed overrepresentation of C nucleotide and while A nucleotide was the least-represented, with random distribution of G and T(U) nucleotides. The relative synonymous codon usage (RSCU) analysis revealed biasness toward C/G-ended codons (over U/A) in all three natural HEV-hosts (human, rat and ferret). It was observed that all the ORF4 genes were richly endowed with GC content. Further, our results showed the occurrence of both coincidence and antagonistic codon usage patterns among HEV-hosts. The findings further emphasized that both mutational and selection forces influenced the codon usage patterns of ORF4 protein genes.

Conclusions

To the best of our knowledge, this is first bioinformatics study evaluating codon usage patterns in HEV ORF4 protein genes. The findings from this study are expected to increase our understanding toward significant factors involved in evolutionary changes of ORF4.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43088-022-00244-w.

Decoding the codon usage patterns in Y-domain region of hepatitis E viruses

Background

Hepatitis E virus (HEV) is a positive-sense RNA virus belonging to the family Hepeviridae. The genome of HEV is organized into three open-reading frames (ORFs): ORF1, ORF2, and ORF3. The ORF1 non-structural Y-domain region (YDR) has been demonstrated to play an important role in the HEV pathogenesis. The nucleotide composition, synonymous codon usage bias in conjunction with other factors influencing the viral YDR genes of HEV have not been studied. Codon usage represents a significant mechanism in establishing the host-pathogen relationship. The present study for the first time elucidates the detailed codon usage patterns of YDR among HEV and HEV-hosts (Human, Rabbit, Mongoose, Pig, Wild boar, Camel, Monkey).

Results

The overall nucleotide composition revealed the abundance of C and U nucleotides in YDR genomes. The relative synonymous codon usage (RSCU) analysis indicated biasness towards C and U over A and G ended codons in HEV across all hosts. Codon frequency comparative analyses among HEV-hosts showed both similarities and discrepancies in usage of preferred codons encoding amino acids, which revealed that HEV codon preference neither completely differed nor completely showed similarity with its hosts. Thus, our results clearly indicated that the synonymous codon usage of HEV is a mixture of the two types of codon usage: coincidence and antagonism. Mutation pressure from virus and natural selection from host seems to be accountable for shaping the codon usage patterns in YDR. The study emphasised that the influence of compositional constraints, codon usage biasness, mutational alongside the selective forces were reflected in the occurrence of YDR codon usage patterns.

Conclusions

Our study is the first in its kind to have reported the analysis of codon usage patterns on a total of seven different natural HEV hosts. Therefore, knowledge of preferred codons obtained from our study will not only augment our understanding towards molecular evolution but is also envisaged to provide insight into the efficient viral expression, viral adaptation, and host effects on the HEV YDR codon usage.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43141-022-00319-2.

Phylogenetic and codon usage analysis of atypical porcine pestivirus (APPV)

Atypical porcine pestivirus (APPV) has been identified as the main causative agent for congenital tremor (CT) type A-II in piglets, which is threatening the health of the global swine herd. However, the evolution of APPV remains largely unknown. In this study, phylogenetic analysis showed that APPV could be divided into three phylogroups (I, II, and III). Phylogroups I and II included viral strains from China, while phylogroup III contained strains from Europe, North America, and Asia. Phylogroups I and II are tentatively thought to be of Chinese origin. Next, compositional property analysis revealed that a high frequency of nucleotide A and A-end codons was used in the APPV genome. Intriguingly, the analysis of preferred codons revealed that the AGA[Arg] and AGG[Arg] were overrepresented. Dinucleotide CC was found to be overrepresented, and dinucleotide CG was underrepresented. Furthermore, it was found that the weak codon usage bias of APPV was mainly dominated by selection pressures versus mutational forces. The codon adaptation index (CAI), relative codon deoptimization index (RCDI), and similarity index (SiD) analyses showed that the codon usage patterns of phylogroup II and III were more similar to the one of a pig than phylogroup I, suggesting that phylogroup II and III may be more adaptive to pigs. Overall, this study provides insights into APPV evolution through phylogeny and codon usage pattern analysis.

Analysis of codon usage of Horseshoe Bat Hepatitis B virus and its host

In the present analysis, codon usage strategies and base distribution of Horseshoe bat hepatitis B virus (HBHBV) were analyzed and compared with its host Rhinolophus sinicus, as no work was yet reported. The magnitude of synonymous codon usage bias (CUB) in the virus and its host was low with higher proportion of the base C. Notably, 21 more frequently used codons, 19 less frequently used codons and 3 underrepresented codons (TCG, ACG and GCG) were found to be similar in both virus and its host coding sequences. Neutrality plot analysis reported greater role of natural selection in HBHBV (67.84%) and R. sinicus (76.90%) over mutation pressure. Base skewness and protein properties also influenced the CUB of genes. Further, codon usage analysis depicted, HBHBV and R. sinicus had many similarities in codon usage patterns that might reflect viral adaptation to its host.

Genetic and evolutionary analysis of emerging HoBi-like pestivirus

HoBi-like pestivirus, an emerging species within the Pestivirus genus, is an important pathogen associated with a variety of clinical manifestations of ruminants, especially cattle. HoBi-like pestiviruses were identified in several countries and from different hosts, and raised concerns with regard to their acute and persistent infections, which is implicated in economic losses for cattle farmers. However, the transmission path, codon usage bias, and host adaptation of the virus has not been studied. Hence, we performed the analysis the spatio-temporal transmission based on the available 5'-UTR sequences of HoBi-like pestivirus, and then conducted codon analysis of the complete coding sequence of the virus. The results show the virus appeared in 1952 (95% HPD: 1905-1985) and may have originated in India. In addition, Italy is the hub for the spread of the virus. Moreover, six potential recombination events and two complex recombination events were discovered. Analysis of codon usage patterns revealed that the effective number of codon (ENC) values with an average of 50.85, and the codon usage bias is greatly affected by natural selection, which is different from the previous BVDV-1, 2. Finally, codon adaptation index (CAI) analysis shows that pigs may be the potential origin species of the HoBi-like pestivirus. These findings will contribute to more effective control of the spread of the virus, extend the knowledge about the genetic and evolutionary features of HoBi-like viruses and provide some information for vaccine research.

Insights into The Codon Usage Bias of 13 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Isolates from Different Geo-locations

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of Coronavirus disease 2019 (COVID-19) which is an infectious disease that spread throughout the world and was declared as a pandemic by the World Health Organization (WHO). In this study, we performed a genome-wide analysis on the codon usage bias (CUB) of 13 SARS-CoV-2 isolates from different geo-locations (countries) in an attempt to characterize it, unravel the main force shaping its pattern, and understand its adaptation to Homo sapiens . Overall results revealed that, SARS-CoV-2 codon usage is slightly biased similarly to other RNA viruses. Nucleotide and dinucleotide compositions displayed a bias toward A/U content in all codon positions and CpU-ended codons preference, respectively. Eight common putative preferred codons were identified, and all of them were A/U-ended (U-ended: 7, A-ended: 1). In addition, natural selection was found to be the main force structuring the codon usage pattern of SARS-CoV-2. However, mutation pressure and other factors such as compositional constraints and hydrophobicity had an undeniable contribution. Two adaptation indices were utilized and indicated that SARS-CoV-2 is moderately adapted to Homo sapiens compared to other human viruses. The outcome of this study may help in understanding the underlying factors involved in the evolution of SARS-CoV-2 and may aid in vaccine design strategies.

A comprehensive analysis of genome composition and codon usage patterns of emerging coronaviruses

An outbreak of atypical pneumonia caused by a novel Betacoronavirus (βCoV), named SARS-CoV-2 has been declared a public health emergency of international concern by the World Health Organization. In order to gain insight into the emergence, evolution and adaptation of SARS-CoV-2 viruses, a comprehensive analysis of genome composition and codon usage of βCoV circulating in China was performed. A biased nucleotide composition was found for SARS-CoV-2 genome. This bias in genomic composition is reflected in its codon and amino acid usage patterns. The overall codon usage in SARS-CoV-2 is similar among themselves and slightly biased. Most of the highly frequent codons are A- and U-ending, which strongly suggests that mutational bias is the main force shaping codon usage in this virus. Significant differences in relative synonymous codon usage frequencies among SARS-CoV-2 and human cells were found. These differences are due to codon usage preferences.

Analysis of Codon Usage and Nucleotide Bias in Middle East Respiratory Syndrome Coronavirus Genes

The Middle East Respiratory Syndrome (MERS) is an emerging disease caused by a recently identified human coronavirus (CoV). Over 2494 laboratory-confirmed cases and 858 MERS-related deaths have been reported from 27 countries. MERS-CoV has been associated with a high case fatality rate, especially in patients with pre-existing conditions. Despite the fatal nature of MERS-CoV infection, a comprehensive study to explore its evolution and adaptation in different hosts is lacking. We performed codon usage analyses on 4751 MERS-CoV genes and determined underlying forces that affect the codon usage bias in the MERS-CoV genome. The current analyses revealed a low but highly conserved, gene-specific codon usage bias in the MERS-CoV genome. The codon usage bias is mainly shaped by natural selection, while mutational pressure emerged as a minor factor affecting codon usage in some genes. Other contributory factors included CpG dinucleotide bias, physical and chemical properties of encoded proteins and gene length. Results reported in this study provide considerable insights into the molecular evaluation of MERS-CoV and could serve as a theoretical basis for optimizing MERS-CoV gene expression to study the functional relevance of various MERS-CoV proteins. Alternatively, an attenuated vaccine strain containing hundreds of silent mutations could be engineered. Codon de-optimization will not affect the amino acid sequence or antigenicity of a vaccine strain, but the sheer number of mutations would make viral reversion to a virulent phenotype extremely unlikely.

Effects of Arbovirus Multi-Host Life Cycles on Dinucleotide and Codon Usage Patterns

Arthropod-borne viruses (arboviruses) of vertebrates including dengue, zika, chikungunya, Rift Valley fever, and blue tongue viruses cause extensive morbidity and mortality in humans, agricultural animals, and wildlife across the globe. As obligate intercellular pathogens, arboviruses must be well adapted to the cellular and molecular environment of both their arthropod (invertebrate) and vertebrate hosts, which are vastly different due to hundreds of millions of years of separate evolution. Here we discuss the comparative pressures on arbovirus RNA genomes as a result of a dual host life cycle, focusing on pressures that do not alter amino acids. We summarize what is currently known about arboviral genetic composition, such as dinucleotide and codon usage, and how cyclical infection of vertebrate and invertebrate hosts results in different genetic profiles compared with single-host viruses. To serve as a comparison, we compile what is known about arthropod tRNA, dinucleotide, and codon usages and compare this with vertebrates. Additionally, we discuss the potential roles of genetic robustness in arboviral evolution and how it may vary from other viruses. Overall, both arthropod and vertebrate hosts influence the resulting genetic composition of arboviruses, but a great deal remains to be investigated.

Comprehensive analysis of the codon usage patterns of polyprotein of Zika virus

Zika virus (ZIKV) is a mosquito-borne virus in the family Flaviviridae, and the massive outbreak of ZIKV has endangered public health. Codon usage patterns of viruses reflect a series of evolutionary changes that enable viruses to shape their survival rates and fitness toward the external environment and, most importantly, their hosts. In this study, 90 ZIKV isolates were used for a comprehensive analysis on the codon usage patterns. The overall codon usage among ZIKV strains is similar and slightly biased. The value of effective number of codons (ENC) showed that the overall extent of codon usage bias in ZIKV is relatively low. Nucleotide analysis showed that the overall codon usage is biased toward A- and G-ending codons. The phylogenetic analysis indicated that their independent evolutionary origins from a common ancestor. The RSCU analysis showed that the codon usage pattern of ZIKV is more similar to that of Homo sapiens. Correlation analysis, Correspondence analysis, ENC-GC_3S plot, and PR2 plot indicated that the codon usage patterns of the viruses are not only influenced by mutational pressure but also by natural selection, but neutrality plot analysis showed that the latter plays a major role. These results built the base for further research on the molecular evolution of ZIKV.

A detailed analysis of synonymous codon usage in human bocavirus

Human bocavirus (HBoV) is a recently discovered parvovirus associated with respiratory and gastroenteric infections in children. To date, four distinct subtypes have been identified worldwide. HBoV1 is the most frequently detected bocavirus in clinical samples derived from the respiratory tract. HBoV has a single-stranded DNA genome, which encodes two nonstructural proteins, NS1 and NP1, and two structural proteins, VP1 and VP2. Despite a large number of available HBoV sequences, the molecular evolution of this virus remains enigmatic. Here, we applied bioinformatic methods to measure the codon usage bias in 156 HBoV genomes and analyzed the factors responsible for preferential use of various synonymous codons. The effective number of codons (ENC) indicates a highly conserved, gene-specific codon usage bias in the HBoV genome. The structural genes exhibit a higher degree of codon usage bias than the non-structural genes. Natural selection emerged as dominant factor influencing the codon usage bias in the HBoV genome. Other factors that influence the codon usage include mutational pressure, gene length, protein properties, and the relative abundance of dinucleotides. The results presented in this study provide important insight into the molecular evolution of HBoV and may serve as a primer for HBoV gene expression studies and development of safe and effective vaccines to prevent infection.

Codon usage bias in the N gene of rabies virus

Since its emergence, rabies virus (RABV) has been a major worldwide concern especially in developing countries. The nucleoprotein (N) of RABV is highly conserved and key for genetic typing, thus a better understanding of the N gene evolutionary trajectory can assist the development of control measures. We found that the N gene of RABV has a low codon usage bias with a mean effective number of codons (ENC) value of 56.33 influenced by both mutation pressure and natural selection. However, neutrality analysis indicated that natural selection dominates over mutation pressure. Additionally, we found that dinucleotide bias partly contributed to RABV codon usage bias. On the other hand, based on the clades of phylogenetic tree, we found that the evolutionary rate of the Africa 2 clade was the highest with a mean value of 3.75×10^-3 substitutions per site per year. Above all, our results regarding N gene of RABV codon usage will serve future RABV evolution research.

Analysis of synonymous codon usage in Zika virus

Zika virus is a zoonotic pathogen, which have made frequent incursion into the human population in Africa and South East Asia over the course of several decades but never reached to the pandemic proportions until the most recent outbreak. Viruses are solely dependent on host synthetic machinery for their replication cycle; therefore, replication and persistence in a host species of different genetic background requires certain degree of adaptation. These adaptations are necessary to avoid detection from host immune surveillance and maximize the utilization of available resources for efficient viral replication. Study of genomic composition and codon usage pattern not only offer an insight into the adaptation of viruses to their new host, but may also provide some information about pathogenesis and spread of the virus. To elucidate the genetic features and synonymous codon usage bias in ZIKV genome, a comprehensive analysis was performed on 80 full-length ZIKV sequences. Our analyses shows that the overall extent of codon usage bias in ZIKV genome is low and affected by nucleotide composition, protein properties, natural selection, and gene expression level.

Synonymous codon usage of genes in polymerase complex of Newcastle disease virus

Newcastle disease virus (NDV) is pathogenic to both avian and non-avian species but extensively finds poultry as its primary host and causes heavy economic losses in the poultry industry. In this study, a total of 186 polymerase complex comprising of nucleoprotein (N), phosphoprotein (P), and large polymerase (L) genes of NDV was analyzed for synonymous codon usage. The relative synonymous codon usage and effective number of codons (ENC) values were used to estimate codon usage variation in each gene. Correspondence analysis (COA) was used to study the major trend in codon usage variation. Analyzing the ENC plot values against GC3s (at synonymous third codon position) we concluded that mutational pressure was the main factor determining codon usage bias than translational selection in NDV N, P, and L genes. Moreover, correlation analysis indicated, that aromaticity of N, P, and L genes also influenced the codon usage variation. The varied distribution of pathotypes for N, P, and L gene clearly suggests that change in codon usage for NDV is pathotype specific. The codon usage preference similarity in N, P, and L gene might be detrimental for polymerase complex functioning. The study represents a comprehensive analysis to date of N, P, and L genes codon usage pattern of NDV and provides a basic understanding of the mechanisms for codon usage bias.

Analysis of Synonymous Codon Usage Bias of Zika Virus and Its Adaption to the Hosts

Zika virus (ZIKV) is a mosquito-borne virus (arbovirus) in the family Flaviviridae, and the symptoms caused by ZIKV infection in humans include rash, fever, arthralgia, myalgia, asthenia and conjunctivitis. Codon usage bias analysis can reveal much about the molecular evolution and host adaption of ZIKV. To gain insight into the evolutionary characteristics of ZIKV, we performed a comprehensive analysis on the codon usage pattern in 46 ZIKV strains by calculating the effective number of codons (ENc), codon adaptation index (CAI), relative synonymous codon usage (RSCU), and other indicators. The results indicate that the codon usage bias of ZIKV is relatively low. Several lines of evidence support the hypothesis that translational selection plays a role in shaping the codon usage pattern of ZIKV. The results from a correspondence analysis (CA) indicate that other factors, such as base composition, aromaticity, and hydrophobicity may also be involved in shaping the codon usage pattern of ZIKV. Additionally, the results from a comparative analysis of RSCU between ZIKV and its hosts suggest that ZIKV tends to evolve codon usage patterns that are comparable to those of its hosts. Moreover, selection pressure from Homo sapiens on the ZIKV RSCU patterns was found to be dominant compared with that from Aedes aegypti and Aedes albopictus. Taken together, both natural translational selection and mutation pressure are important for shaping the codon usage pattern of ZIKV. Our findings contribute to understanding the evolution of ZIKV and its adaption to its hosts.

Impact of the biased nucleotide composition of viral RNA genomes on RNA structure and codon usage

We are interested in the influence of nucleotide composition on the fundamental characteristics of the virus RNA genome. Most RNA viruses have genomes with a distinct nucleotide composition, e.g. ranging from minimally 12.9 % to maximally 40.3 % (C- and U-count, respectively, in coronavirus HKU). We present a global analysis of diverse virus types, including plus-strand, minus-strand and double-strand RNA viruses, for the impact of this nucleotide preference on the predicted structure of the RNA genome that is packaged in virion particles and on the codon usage in the viral open reading frames. Several virus-specific features will be described, but also some general conclusions were drawn. Without exception, the virus-specific nucleotide bias was enriched in the unpaired, single-stranded regions of the RNA genome, thus creating an even more striking virus-specific signature. We present a simple mechanism that is based on elementary aspects of RNA structure folding to explain this general trend. In general, the nucleotide bias was the major determinant of the virus-specific codon usages, thus limiting a role for codon selection and translational control. We will discuss molecular and evolutionary scenarios that may be responsible for the diverse nucleotide biases of RNA viruses.

A detailed comparative analysis of codon usage bias in Zika virus

Zika virus (ZIKV) is a member of the family Flaviviridae and its genome consists of a single-stranded positive sense RNA molecule with 10,794 nucleotides. Clinical manifestations of disease caused by ZIKV infection range from asymptomatic cases to an influenza-like syndrome. There is an increasing concern about the possible relation among microcephaly and ZIKV infection. To get insight into the relation of codon usage among viruses and their hosts is extremely important to understand virus survival, fitness, evasion from host's immune system and evolution. In this study, we performed a comprehensive analysis of codon usage and composition of ZIKV. The overall codon usage among ZIKV strains is similar and slightly biased. Different codon preferences in ZIKV genes in relation to codon usage of human, Aedes aegypti and Aedes albopictus genes were found. Most of the highly frequent codons are A-ending, which strongly suggests that mutational bias is the main force shaping codon usage in this virus. G+C compositional constraint as well as dinucleotide composition also influence the codon usage of ZIKV. The results of these studies suggest that the emergence of ZIKV outside Africa, in the Pacific and the Americas may also be reflected in ZIKV codon usage. No significant differences were found in codon usage among strains isolated from microcephaly cases and the rest of strains from the Asian cluster enrolled in these studies.

Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses

Equine influenza viruses (EIVs) of H3N8 subtype are culprits of severe acute respiratory infections in horses, and are still responsible for significant outbreaks worldwide. Adaptability of influenza viruses to a particular host is significantly influenced by their codon usage preference, due to an absolute dependence on the host cellular machinery for their replication. In the present study, we analyzed genome-wide codon usage patterns in 92 EIV strains, including both H3N8 and H7N7 subtypes by computing several codon usage indices and applying multivariate statistical methods. Relative synonymous codon usage (RSCU) analysis disclosed bias of preferred synonymous codons towards A/U-ended codons. The overall codon usage bias in EIVs was slightly lower, and mainly affected by the nucleotide compositional constraints as inferred from the RSCU and effective number of codon (ENc) analysis. Our data suggested that codon usage pattern in EIVs is governed by the interplay of mutation pressure, natural selection from its hosts and undefined factors. The H7N7 subtype was found less fit to its host (horse) in comparison to H3N8, by possessing higher codon bias, lower mutation pressure and much less adaptation to tRNA pool of equine cells. To the best of our knowledge, this is the first report describing the codon usage analysis of the complete genomes of EIVs. The outcome of our study is likely to enhance our understanding of factors involved in viral adaptation, evolution, and fitness towards their hosts.

Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Marburg virus evolution

BACKGROUND

The Marburg virus (MARV) has a negative-sense single-stranded RNA genome, belongs to the family Filoviridae, and is responsible for several outbreaks of highly fatal hemorrhagic fever. Codon usage patterns of viruses reflect a series of evolutionary changes that enable viruses to shape their survival rates and fitness toward the external environment and, most importantly, their hosts. To understand the evolution of MARV at the codon level, we report a comprehensive analysis of synonymous codon usage patterns in MARV genomes. Multiple codon analysis approaches and statistical methods were performed to determine overall codon usage patterns, biases in codon usage, and influence of various factors, including mutation pressure, natural selection, and its two hosts, Homo sapiens and Rousettus aegyptiacus.

RESULTS

Nucleotide composition and relative synonymous codon usage (RSCU) analysis revealed that MARV shows mutation bias and prefers U- and A-ended codons to code amino acids. Effective number of codons analysis indicated that overall codon usage among MARV genomes is slightly biased. The Parity Rule 2 plot analysis showed that GC and AU nucleotides were not used proportionally which accounts for the presence of natural selection. Codon usage patterns of MARV were also found to be influenced by its hosts. This indicates that MARV have evolved codon usage patterns that are specific to both of its hosts. Moreover, selection pressure from R. aegyptiacus on the MARV RSCU patterns was found to be dominant compared with that from H. sapiens. Overall, mutation pressure was found to be the most important and dominant force that shapes codon usage patterns in MARV.

CONCLUSIONS

To our knowledge, this is the first detailed codon usage analysis of MARV and extends our understanding of the mechanisms that contribute to codon usage and evolution of MARV.

Genome-wide analysis of synonymous codon usage in Huaiyangshan virus and other bunyaviruses

Huaiyangshan virus (HYSV) is a newly discovered bunyavirus, which is transmitted by ticks and causes hemorrhagic fever-like illness in human. The interplay of codon usage among viruses and their hosts is expected to affect viral survival, evasion from host's immune system and evolution. However, little is known about the codon usage in HYSV genome. In the present study, we analyzed synonymous codon usage in 120 available full-length HYSV sequences and performed a comparative analysis of synonymous codon usage patterns in HYSV and 42 other bunyaviruses. The relative synonymous codon usage (RSCU) analysis showed that the preferred synonymous codons were G/C-ended. A comparative analysis of RSCU between HYSV and its hosts reflected that codon usage patterns of HYSV were mostly coincident with that of its hosts. Our data suggested that although mutational bias dominated codon usage, patterns of codon usage in HYSV were also under the influence of nature selection. Phylogenetic analysis based on RSCU values across different HYSV strains and 42 other bunyaviruses suggested that codon usage pattern in HYSV was the most similar with that of Uukuniemi virus among these bunyaviruses and that viruses belonged to Phlebovirus showed a diversity of codon usage patterns.

Analysis of codon usage pattern evolution in avian rotaviruses and their preferred host

Rotavirus infection is a worldwide problem, with occurrence of highly divergent viruses classified in 8 species (A-H). We report here the evolution assessment of codon usage patterns in virus-host system in avian rotavirus (AvRV) of species RVA, RVD, RVF and RVG (preferentially affecting birds). The nucleotide contents, codon usage bias (CUB), relative synonymous codon usage (RSCU), and effective number of codons (ENCs) values were investigated targeting overexpressing major inner capsid viral protein (VP6) of these AvRV species. The results confirm that the evolutionary characteristics influences the rotavirus (RV) genetic diversity and impact of host's natural selection on the AvRVs codons. Synonymous codon usage patterns were evaluated following multivariate statistical procedures on all available AvRV coding gene sequences. RSCU trees accommodated all AvRV species and preferred host sequences in one topology confirming greater imminence of AvRVs with the host chicken cell genes. Similarly, the codon adaptation index (CAI) results also displayed a higher adaptation of AvRVs to its chicken host. The codon preference analysis of RVs revealed that VP6 gene express more proficiently in the yeast system, whereas, codon optimization might be required for the effectual expression in Escherichia coli and Homo sapiens. The findings provide basic evidence on the dynamics of AvRV evolution and its host adaptation, which could be exploited for additional research on avian species in future.

On the biased nucleotide composition of the human coronavirus RNA genome

•

The nucleotide composition of a coronaviral RNA genome is biased (high U, low C).

•

This bias is a relatively stable property along the viral genome, but less prominent in the last 1/3 of the genome.

•

This bias is even more pronounced in the single-stranded, unpaired RNA domains.

•

The bias dictates the atypical codon usage of the coronaviruses.

•

The RNA genome of the zoonotic viruses MERS and SARS is extremely biased.

We investigated the nucleotide composition of the RNA genome of the six human coronaviruses. Some general coronavirus characteristics were apparent (e.g. high U, low C count), but we also detected species-specific signatures. Most strikingly, the high U and low C proportions are quite variable and act like communicating vessels, C goes down when U goes up and vice versa. U ranges among virus isolates from 30.7% to 40.3%, and C makes the opposite movement from 20.0% to 12.9%, respectively. The nucleotide biases are more pronounced in the unpaired regions of the structured RNA genome, which may suggest a certain biological function for these distinctive sequence signatures. Coronaviruses have an atypical codon usage that has been linked to mutational events operating on the viral RNA genome on an evolutionary time scale. We suggest that the atypical nucleotide bias may serve a distinct biological function and that it is the direct cause of the characteristic codon usage in these viruses. The relevance for evolution of the novel human pathogens MERS and SARS is discussed.

Species based synonymous codon usage in fusion protein gene of Newcastle disease virus

Newcastle disease is highly pathogenic to poultry and many other avian species. However, the Newcastle disease virus (NDV) has also been reported from many non-avian species. The NDV fusion protein (F) is a major determinant of its pathogenicity and virulence. The functionalities of F gene have been explored for the development of vaccine and diagnostics against NDV. Although the F protein is well studied but the codon usage and its nucleotide composition from NDV isolated from different species have not yet been explored. In present study, we have analyzed the factors responsible for the determination of codon usage in NDV isolated from four major avian host species. The F gene of NDV is analyzed for its base composition and its correlation with the bias in codon usage. Our result showed that random mutational pressure is responsible for codon usage bias in F protein of NDV isolates. Aromaticity, GC3s, and aliphatic index were not found responsible for species based synonymous codon usage bias in F gene of NDV. Moreover, the low amount of codon usage bias and expression level was further confirmed by a low CAI value. The phylogenetic analysis of isolates was found in corroboration with the relatedness of species based on codon usage bias. The relationship between the host species and the NDV isolates from the host does not represent a significant correlation in our study. The present study provides a basic understanding of the mechanism involved in codon usage among species.

Genome-wide analysis of codon usage and influencing factors in chikungunya viruses

Chikungunya virus (CHIKV) is an arthropod-borne virus of the family Togaviridae that is transmitted to humans by Aedes spp. mosquitoes. Its genome comprises a 12 kb single-strand positive-sense RNA. In the present study, we report the patterns of synonymous codon usage in 141 CHIKV genomes by calculating several codon usage indices and applying multivariate statistical methods. Relative synonymous codon usage (RSCU) analysis showed that the preferred synonymous codons were G/C and A-ended. A comparative analysis of RSCU between CHIKV and its hosts showed that codon usage patterns of CHIKV are a mixture of coincidence and antagonism. Similarity index analysis showed that the overall codon usage patterns of CHIKV have been strongly influenced by Pan troglodytes and Aedes albopictus during evolution. The overall codon usage bias was low in CHIKV genomes, as inferred from the analysis of effective number of codons (ENC) and codon adaptation index (CAI). Our data suggested that although mutation pressure dominates codon usage in CHIKV, patterns of codon usage in CHIKV are also under the influence of natural selection from its hosts and geography. To the best of our knowledge, this is first report describing codon usage analysis in CHIKV genomes. The findings from this study are expected to increase our understanding of factors involved in viral evolution, and fitness towards hosts and the environment.

Analysis of synonymous codon usage patterns in duck hepatitis A virus: a comparison on the roles of mutual pressure and natural selection

Codon usage patterns of duck hepatitis A virus (HAV) were studied in the present study. The major trends of codon usage patterns were analyzed using principal component analysis on the basis of the relative synonymous codon usage values. Correlation analysis was utilized to reveal the associations of the first two major axes of PCA and nucleotide- or amino acid-relevant indices. Our results showed that compositional constraint and/or mutational pressure are major factors influencing codon usage bias patterns of HAV. However, the influence of natural selection is also prevalent, as indicated by strongly significant correlations between the hydrophobicity, aromaticity, aliphaticity and ionization and the first axis of PCA. Also, ionization could characterize the second axis of PCA. At last, maximum likelihood phylogenetic analysis shows that there are no remarkable geographic clustering patterns of HAV strains in the phylogenetic tree. However, through MANOVA test, there are significant differences on the codon usage patterns among HAV strains from different countries. In conclusion, both mutational pressure and natural selection are of equally great importance to codon usage patterns of duck HAV genomes.

A comparison of synonymous codon usage bias patterns in DNA and RNA virus genomes: quantifying the relative importance of mutational pressure and natural selection

Codon usage bias patterns have been broadly explored for many viruses. However, the relative importance of mutation pressure and natural selection is still under debate. In the present study, I tried to resolve controversial issues on determining the principal factors of codon usage patterns for DNA and RNA viruses, respectively, by examining over 38000 ORFs. By utilizing variation partitioning technique, the results showed that 27% and 21% of total variation could be attributed to mutational pressure, while 5% and 6% of total variation could be explained by natural selection for DNA and RNA viruses, respectively, in codon usage patterns. Furthermore, the combined effect of mutational pressure and natural selection on influencing codon usage patterns of viruses is substantial (explaining 10% and 8% of total variation of codon usage patterns). With respect to GC variation, GC content is always negatively and significantly correlated with aromaticity. Interestingly, the signs for the significant correlations between GC, gene lengths, and hydrophobicity are completely opposite between DNA and RNA viruses, being positive for DNA viruses while being negative for RNA viruses. At last, GC12 versus G3s plot suggests that natural selection is more important than mutational pressure on influencing the GC content in the first and second codon positions.

Base composition and translational selection are insufficient to explain codon usage bias in plant viruses

Viral codon usage bias may be the product of a number of synergistic or antagonistic factors, including genomic nucleotide composition, translational selection, genomic architecture, and mutational or repair biases. Most studies of viral codon bias evaluate only the relative importance of genomic base composition and translational selection, ignoring other possible factors. We analyzed the codon preferences of ssRNA (luteoviruses and potyviruses) and ssDNA (geminiviruses) plant viruses that infect translationally distinct monocot and dicot hosts. We found that neither genomic base composition nor translational selection satisfactorily explains their codon usage biases. Furthermore, we observed a strong relationship between the codon preferences of viruses in the same family or genus, regardless of host or genomic nucleotide content. Our results suggest that analyzing codon bias as either due to base composition or translational selection is a false dichotomy that obscures the role of other factors. Constraints such as genomic architecture and secondary structure can and do influence codon usage in plant viruses, and likely in viruses of other hosts.

Patterns and influencing factor of synonymous codon usage in porcine circovirus

Background

Analysis of codon usage can reveal much about the molecular evolution of the viruses. Nevertheless, little information about synonymous codon usage pattern of porcine circovirus (PCV) genome in the process of its evolution is available. In this study, to give a new understanding on the evolutionary characteristics of PCV and the effects of natural selection from its host on the codon usage pattern of the virus, Patterns and the key determinants of codon usage in PCV were examined.

Methods

We carried out comprehensive analysis on codon usage pattern in the PCV genome, by calculating relative synonymous codon usage (RSCU), effective number of codons (ENC), dinucleotides and nucleic acid content of the PCV genome.

Results

PCV genomes have relatively much lower content of GC and codon preference, this result shows that nucleotide constraints have a major impact on its synonymous codon usage. The results of the correspondence analysis indicate codon usage patterns of PCV of various genotypes, various subgenotypes changed greatly, and significant differences in codon usage patterns of Each virus of Circoviridae.There is much comparability between PCV and its host in their synonymous codon usage, suggesting that the natural selection pressure from the host factor also affect the codon usage patterns of PCV. In particular, PCV genotype II is in synonymous codon usage more similar to pig than to PCV genotype I, which may be one of the most important molecular mechanisms of PCV genotype II to cause disease. The calculations results of the relative abundance of dinucleotides indicate that the composition of dinucleotides also plays a key role in the variation found in synonymous codon usage in PCV. Furthermore, geographic factors, the general average hydrophobicity and the aromaticity may be related to the formation of codon usage patterns of PCV.

Conclusion

The results of these studies suggest that synonymous codon usage pattern of PCV genome are the result of interaction between mutation pressure and natural selection from its host. The information from this study may not only have theoretical value in understanding the characteristics of synonymous codon usage in PCV genomes, but also have significant value for the molecular evolution of PCV.

Compare the differences of synonymous codon usage between the two species within cardiovirus

BACKGROUND

Cardioviruses are positive-strand RNA viruses in the Picornaviridae family that can cause enteric infection in rodents and also been detected at lower frequencies in other mammals such as pigs and human beings. The Cardiovirus genus consists two distinct species: Encephalomyocarditis virus (EMCV) and Theilovirus (ThV). There are a lot differences between the two species. In this study, the differences of codon usage in EMCV and ThV were compared.

RESULTS

The mean ENC values of EMCV and ThV are 54.86 and 51.08 respectively, higher than 40.And there are correlations between (C+G)₁₂% and (C+G)₃% for both EMCV and ThV (r = -0.736; r = 0.986, P < 0.01, repectively). For ThV the (C+G)₁₂%, (C+G)₃%, axis f'₁ and axis f'₂ had a significant correlations respectively but not for EMCV. According to the RSCU values, the EMCV species seemed to prefer U, G and C ending codon, while the ThV spice seemed to like using U and A ending codon. However, in both genus AGA for Arg, AUU for Ile, UCU for Ser, and GGA for Gly were chosen preferentially. Correspondence analysis detected one major trend in the first axis (f'₁) which accounted for 22.89% of the total variation, and another major trend in the second axis (f'₂) which accounted for 17.64% of the total variation. And the plots of the same serotype seemed at the same region at the coordinate.

CONCLUSION

The overall extents of codon usage bias in both EMCV and ThV are low. The mutational pressure is the main factor that determines the codon usage bias, but the (C+G) content plays a more important role in codon usage bias for ThV than for EMCV. The synonymous codon usage pattern in both EMCV and ThV genes is gene function and geography specific, but not host specific. Maybe the serotype is one factor effected the codon bias for ThV, and location has no significant effect on the variations of synonymous codon usage in these virus genes.

Analysis of codon usage in type 1 and the new genotypes of duck hepatitis virus

In this study, an abundant (A + U)% and low codon bias were revealed in duck hepatitis virus type 1 (DHV-1) and the new serotype strains isolated from Taiwan, South Korea and Mainland China (DHV-N). The general correlation between base composition and codon usage bias suggests that mutational pressure rather than natural selection is the main factor that determines the codon usage bias in these samples. By comparative analysis of the codon usage patterns of 40 ORFs of DHV, we found that all of DHV-1 strains grouped in genotype C; the DHV-N strains isolated in South Korea and China clustered into genotypes B; and the DHV-N strains isolated from Taiwan clustered into genotypes A. The findings revealed that more than one subtype of DHV-1 circulated in East Asia. Furthermore, the results of phylogenetic analyses based on RSCU values and Clustal W method indicated obvious phylogenetic congruities. This suggested that better genome consistency of DHV may exist in nature and phylogenetic analyses based on RSCU values maybe a good method in classifying genotypes of the virus. Our work might give some clues to the features and some evolutionary information of DHV.

Analysis of codon usage and nucleotide composition bias in polioviruses

Background

Poliovirus, the causative agent of poliomyelitis, is a human enterovirus and a member of the family of Picornaviridae and among the most rapidly evolving viruses known. Analysis of codon usage can reveal much about the molecular evolution of the viruses. However, little information about synonymous codon usage pattern of polioviruses genome has been acquired to date.

Methods

The relative synonymous codon usage (RSCU) values, effective number of codon (ENC) values, nucleotide contents and dinucleotides were investigated and a comparative analysis of codon usage pattern for open reading frames (ORFs) among 48 polioviruses isolates including 31 of genotype 1, 13 of genotype 2 and 4 of genotype 3.

Results

The result shows that the overall extent of codon usage bias in poliovirus samples is low (mean ENC = 53.754 > 40). The general correlation between base composition and codon usage bias suggests that mutational pressure rather than natural selection is the main factor that determines the codon usage bias in those polioviruses. Depending on the RSCU data, it was found that there was a significant variation in bias of codon usage among three genotypes. Geographic factor also has some effect on the codon usage pattern (exists in the genotype-1 of polioviruses). No significant effect in gene length or vaccine derived polioviruses (DVPVs), wild viruses and live attenuated virus was observed on the variations of synonymous codon usage in the virus genes. The relative abundance of dinucleotide (CpG) in the ORFs of polioviruses are far below expected values especially in DVPVs and attenuated virus of polioviruses genotype 1.

Conclusion

The information from this study may not only have theoretical value in understanding poliovirus evolution, especially for DVPVs genotype 1, but also have potential value for the development of poliovirus vaccines.

Analysis of codon usage in Newcastle disease virus

In this study, the relative synonymous codon usage (RSCU) values, effective number of codon (ENC) values, nucleotide contents, and dinucleotide were used to investigate codon usage pattern of each protein-coding gene and genome among 31 Newcastle disease virus (NDV) isolates. The result shows that the overall extent of codon usage bias in NDV is low (mean ENC = 56.15 > 40). The good correlation between the (C + G)₁₂% and (G + C)₃% suggests that the mutational pressure, rather than natural selection, is the main factor that determines the codon usage bias and base component in NDV. It is observed that synonymous codon usage pattern in NDV genes is gene function and geography specific, but not host specific. By contrasting synonymous codon usage patterns of different NDV isolates, we suggest that more than one genotype of NDV circulates in waterfowl in USA; and gene length has no significant effect on the variations of synonymous codon usage in these virus genes. CpG under-represented is a characteristic for NDV to fit in its host. These results not only provide an insight into the variation of codon usage pattern among the genomes of NDV, but also may help in understanding the processes governing the evolution of NDV.