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

Codon usage analysis in selected virulence genes of Staphylococcal species

The Staphylococcus genus, composed of Gram-positive bacteria, includes several pathogenic species such as Staphylococcus aureus, S. epidermidis, S. haemolyticus, and S. saprophyticus, each implicated in a range of infections. This study investigates the codon usage patterns in key virulence genes, including Autolysin (alt), Elastin Binding protein (EbpS), Lipase, Thermonuclease, Intercellular Adhesion Protein (IcaR), and V8 Protease, across four Staphylococcus species. Using metrics such as the Effective Number of Codons (ENc), Relative Synonymous Codon Usage (RSCU), Codon Adaptation Index (CAI), alongside neutrality and parity plots, we explored the codon preferences and nucleotide composition biases. Our findings revealed a pronounced AT-rich codon preference, with AT-rich genomes likely aiding in energy-efficient translation and bacterial survival in host environments. These insights provide a deeper understanding of the evolutionary adaptations and translational efficiency mechanisms that contribute to the pathogenicity of Staphylococcus species. This knowledge could pave the way for novel therapeutic interventions targeting codon usage to disrupt virulence gene expression.

Comparative genome wise analysis of codon usage of Staphylococcus Genus

The genus Staphylococcus encompasses a diverse array of bacteria with significant implications for human health, including disreputable pathogens such as Staphylococcus aureus and Staphylococcus epidermidis. Understanding the genetic composition and codon usage patterns of Staphylococcus species is crucial for unraveling their evolutionary dynamics, adaptive strategies, and pathogenic potential. In this study, we conducted a comprehensive analysis of codon usage patterns across 48 species within the Staphylococcus genus. Our findings uncovered variations in genomic G-C content across Staphylococcus species, impacting codon usage preferences, with a notable preference for A/T-rich codons observed in pathogenic strains. This preference for A/T-rich codons suggests an energy-saving strategy in pathogenic organisms. Analysis of dinucleotide pair expression patterns unveiled insights into genomic dynamics, with overrepresented codon pairs reflecting trends in dinucleotide expression across genomes. Additionally, a significant correlation between CAI and genomic G-C content underscored the intricate relationship between codon usage patterns and gene expression strategies. Amino acid usage analysis highlighted preferences for energetically cheaper amino acids, suggesting adaptive strategies promoting energy efficiency. This comprehensive analysis sheds light on the evolutionary dynamics and adaptive mechanisms employed by Staphylococcus species, providing valuable insights into their pathogenic potential and clinical implications. Understanding these genomic features is crucial for devising strategies to combat staphylococcal infections and improve public health outcomes.

Analysis of codon usage patterns of porcine enteric alphacoronavirus and its host adaptability

Porcine enteric alphacoronavirus (PEAV) is a newly emerging swine enteropathogen that poses a threat to the swine industry. To understand the PEAV genome evolution, we performed a comprehensive analysis of the codon usage patterns in fifty-nine PEAV strains currently available. Phylogenetic analysis showed that PEAV can be divided into six lineages. Effective number of codons analysis demonstrated that the PEAV genome exhibits a low codon usage bias (CUB). Nucleotide composition analysis indicated that the PEAV genome has the most abundant nucleotide U content, with GC content (39.37% ± 0.08%) much lower than AU content (60.63% ± 0.08%). Neutrality and effective number of codons plot analyses suggested that natural selection rather than mutation pressure dominates the CUB of PEAV. Host adaptation analysis revealed that PEAV fits the codon usage pattern of non-human primates, humans and mice better than that of pigs. Our data enriches information on PEAV evolution, host adaptability, and cross-species transmission.

Deep decoding of codon usage strategies and host adaption preferences of soybean mosaic virus

Soybean mosaic virus (SMV) has threatened the global yield of Leguminosae crops, but the mechanism of its infection, spread, and evolution remains unknown. A systemic analysis of 107 SMV strains was performed to explore the genome-wide codon usage profile and the various factors influencing the codon usage patterns of SMV, which provides insight into its molecular evolution and elucidates its unknown host adaptation pattern. The overall nucleotide composition and correlation analysis revealed that the preferred synonymous codons mostly end with A/U. Clustering by RSCU value of each strain and phylogenetic tree analysis showed that the SMV isolates studied were divided into four clades, with a low overall extent of codon usage bias (CUB) in SMV. According to the ENC, PR2, neutrality plot, and correspondence analysis, natural selection of geographical diversity may play a critical role in the CUB. Higher adaptability was shown in Glycine with SMV and more pressure was received by clade III. These findings could not only provide valuable information about the overall codon usage pattern of the SMV genome, but could also aid in the clarification of the involved mechanisms that dominate the codon usage patterns and genetic evolution of the SMV genome.

Senecavirus A Enhances Its Adaptive Evolution via Synonymous Codon Bias Evolution

Synonymous codon bias in the viral genome affects protein translation and gene expression, suggesting that the synonymous codon mutant plays an essential role in influencing virulence and evolution. However, how the recessive mutant form contributes to virus evolvability remains elusive. In this paper, we characterize how the Senecavirus A (SVA), a picornavirus, utilizes synonymous codon mutations to influence its evolution, resulting in the adaptive evolution of the virus to adverse environments. The phylogenetic tree and Median-joining (MJ)-Network of these SVA lineages worldwide were constructed to reveal SVA three-stage genetic development clusters. Furthermore, we analyzed the codon bias of the SVA genome of selected strains and found that SVA could increase the GC content of the third base of some amino acid synonymous codons to enhance the viral RNA adaptive evolution. Our results highlight the impact of recessive mutation of virus codon bias on the evolution of the SVA and uncover a previously underappreciated evolutionary strategy for SVA. They also underline the importance of understanding the genetic evolution of SVA and how SVA adapts to the adverse effects of external stress.

Buffalo-Origin Seneca Valley Virus in China: First Report, Isolation, Genome Characterization, and Evolution Analysis

Pigs are the main host of Seneca Valley virus (SVV), previously known as Senecavirus A (SVA). Pigs affected by SVV have vesicles in the nose, hooves, and limp and may cause death in some severe cases. Occasionally, SVV has also been detected in mice, houseflies, environmental equipment, and corridors in pig farms. Moreover, it was successfully isolated from mouse tissue samples. In this study, an SVV strain (SVA/GD/China/2018) was isolated from a buffalo with mouth ulcers in the Guangdong province of China using seven mammalian cell lines (including BHK-21, NA, PK-15, ST, Vero, Marc-145, and MDBK). The genome of SVA/GD/China/2018 consists of 7,276 nucleotides. Multiple-sequence alignment showed that SVA/GD/China/2018 shared the highest nucleotide similarity (99.1%) with one wild boar-origin SVV strain (Sichuan HS-01) from the Sichuan province of China. Genetic analysis revealed that SVA/GD/China/2018 clustered with those porcine-origin SVV strains. To the best of our knowledge, this is the first report of SVV infection in buffalo, which might expand the host range of the virus. Surveillance should be expanded, and clinical significance of SVV needs to be further evaluated in cattle.

Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues

Background

Infectious bronchitis virus (IBV) is one of the most relevant viruses affecting the poultry industry, and several studies have investigated the factors involved in its biological cycle and evolution. However, very few of those studies focused on the effect of genome composition and the codon bias of different IBV proteins, despite the remarkable increase in available complete genomes. In the present study, all IBV complete genomes were downloaded (n = 383), and several statistics representative of genome composition and codon bias were calculated for each protein-coding sequence, including but not limited to, the nucleotide odds ratio, relative synonymous codon usage and effective number of codons. Additionally, viral codon usage was compared to host codon usage based on a collection of highly expressed genes in IBV target and nontarget tissues.

Results

The results obtained demonstrated a significant difference among structural, non-structural and accessory proteins, especially regarding dinucleotide composition, which appears under strong selective forces. In particular, some dinucleotide pairs, such as CpG, a probable target of the host innate immune response, are underrepresented in genes coding for pp1a, pp1ab, S and N. Although genome composition and dinucleotide bias appear to affect codon usage, additional selective forces may act directly on codon bias. Variability in relative synonymous codon usage and effective number of codons was found for different proteins, with structural proteins and polyproteins being more adapted to the codon bias of host target tissues. In contrast, accessory proteins had a more biased codon usage (i.e., lower number of preferred codons), which might contribute to the regulation of their expression level and timing throughout the cell cycle.

Conclusions

The present study confirms the existence of selective forces acting directly on the genome and not only indirectly through phenotype selection. This evidence might help understanding IBV biology and in developing attenuated strains without affecting the protein phenotype and therefore immunogenicity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-021-07559-5.

Genome-wide analysis of the synonymous codon usage pattern of Streptococcus suis

Streptococcus suis (S. suis) is a gram-positive coccus that causes disease in humans and animals. The codon usage pattern of bacteria reveals a range of evolutionary changes that assist them to enhance tolerance to environments. To better understand the genetic features during the evolution of S. suis, we performed codon usage analysis. Nine pathogenic strains of different serotypes and different geographical distribution were analyzed to better understand the differences in their evolutionary process. Nucleotide compositions and relative synonymous codon usage (RSCU) analysis revealed that A/T-ending codons are dominant in S. suis. Neutrality analysis, correspondence analysis and ENC-plot results revealed that natural selection is the predominant element prompting codon usage. Cluster analysis based on RSCU was roughly consistent with the dendrogram rooted genomic BLAST analysis. Comparison of synonymous codon usage pattern between S. suis and susceptible hosts (H. sapiens and S. scrofa) revealed that the codon usage of S. suis is separated from the synonymous codon usage of susceptible hosts. The CAI values implied that S. suis includes a series of predicted highly expressed coding sequences contained in metabolism and transcriptional regulation, revealing the necessity of this pathogen to deal with various environmental conditions. The study of codon usage in S. suis may provide evidence involving the molecular evolution of bacteria and a better understanding of evolutionary relationships between S. suis and its corresponding hosts.

Codon usage bias in the H gene of canine distemper virus

Canine distemper virus (CDV), a non-segmented single negative-stranded RNA (ssRNA), is the etiological agent of canine distemper. Canine distemper is a highly contagious and lethal viral disease in domestic dogs and wild carnivores. Study of the evolution of CDV presents an essential key to improve the vaccine efficacy. In this study, a total of 328 full-length CDV hemagglutinin (H) gene sequences were subjected to phylogenetic, amino acid mutations, and codon usage analysis. In accordance with previous study, CDV genotypes consisted of fifteen lineages. The unique amino acid substitution sites in each CDV lineages have been identified for the first time, including America-1 (Q330H), America-2 (I585S), Asia-1 (A359V), Asia-2 (H61R), Asia-3 (P108Q), Asia-4 (K213T), India-1/Asia-5(S497P), Arctic (S20L), Africa-1(N489S), Colombian (V41I), EWL (I44V), Europe (D560E), Europe-1/South America-1(K161Q), South America-2 (R580Q), and East African (S214A). Codon usage analysis indicated that H gene exhibited low codon usage bias and further neutrality plot analysis demonstrated that natural selection played a dominated role in driving CPV evolution. The effective number of codons (ENC) plots show that all the different sequences are below the standard curve, indicating that mutational pressure is not the only factor affecting CUB but other forces, including natural selection. The neutrality analysis showed that the slope of the regression line was 0.1501, indicating natural selection dominates directional mutation pressure in driving the codon usage pattern. In addition, nucleotide composition, relative synonymous codon usage value, dinucleotide content, and geographical distribution have been proven to influence the codon usage bias of the CDV H gene. The novel findings enhanced the understanding of CDV evolution.

Development of an improved dual-promoter-based reverse genetics system for emerging Senecavirus A

Senecavirus A (SVA), a recently emerging picornavirus, poses a great threat to the swine industry because it causes swine idiopathic vesicular disease and epidemic transient neonatal losses. Thus far, the progress in SVA viral pathogenesis studies and vaccine development remains sluggish, and an available and convenient reverse genetics system would undoubtedly promote relevant research. Herein, we established an improved universal dual-promoter reverse genetics system with an SVA-specific hammerhead ribozyme and hepatitis delta virus ribozyme at both terminals of the viral genome; this system could be applied to rescue all SVA strains by both eukaryotic and prokaryotic RNA polymerase systems. The genome of the clone-derived Chinese field strain CH/HeN-2018 was assembled into the universal vector pcDNA-rSVAuni through the Gibson assembly technique. Moreover, two silent mutations, G6848C and C7163 G, were separately engineered into the full-length cDNA clone with one step site-directed mutagenesis to create a KpnI restriction enzyme site, which served as a unique genetic marker. The viruses, designated rCH/HeN-2018-T7, rCH/HeN-2018-CMV, rCH/HeN-2018-6484 m and rCH/HeN-2018-7163 m, were successfully rescued through both CMV- and T7-dependent pathways, and their biological properties were further evaluated. The results showed that all four viruses grew rapidly in PK-15 cells and exhibited viral titers and growth kinetics similar to those of parental wtCH/HeN-2018. The established reverse genetics system is easily operated and can be applied to rescue all SVA strains in a short time, which will be helpful for studying SVA biology, including viral pathogenesis, antiviral therapies and vaccine development.

Comprehensive review on immunopathogenesis, diagnostic and epidemiology of Senecavirus A

Senecavirus A (SVA), formerly known as Seneca Valley virus, is a single-strand, positive-sense RNA virus in the family Picornaviridae. This virus has been associated with recent outbreaks of vesicular disease (SVA-VD) and epidemic transient neonatal losses (ETNL) in several swine-producing countries. The clinical manifestation of and lesion caused by SVA are indistinguishable from other vesicular diseases. Pathogenicity studies indicate that SVA could regulate the host innate immune response to facilitate virus replication and the spread of the virus to bystander cells. SVA infection can induce specific humoral and cellular responses that can be detected within the first week of infection. However, SVA seems to produce persistent infection, and the virus can be shed in oral fluids for a month and detected in tissues for approximately two months after experimental infection. SVA transmission could be horizontal or vertical in infected herds of swine, while positive animals can also remain subclinical. In addition, mice seem to act as reservoirs, and the virus can persist in feed and feed ingredients, increasing the risk of introduction into naïve farms. Besides the pathological effects in swine, SVA possesses cytolytic activity, especially in neoplastic cells. Thus, SVA has been evaluated in phase II clinical trials as a virotherapy for neuroendocrine tumors. The goal of this review is summarize the current SVA-related research in pathogenesis, immunity, epidemiology and advances in diagnosis as well as discuses current challenges with subclinical/persistent presentation.

Analyses of nucleotide, synonymous codon and amino acid usages at gene levels of Brucella melitensis strain QY1

Brucella melitensis is the causative pathogen of the zoonotic disease brucellosis in China. This work focused on analyses of genetic features represented by nucleotide, synonymous codon and amino acid usages at gene levels of B. melitensis strain QY1 isolated from China. Although nucleotide usage biases at different codon positions all work on synonymous codon usage bias, nucleotide usage biases at the 1st and 3rd positions play more important roles in codon usages. Mutation pressure caused by nucleotide composition constraint influences the formation of over-representative synonymous codons, but neighboring nucleotides surrounding a codon strongly influence synonymous codon usage bias for B. melitensis strain QY1. There is significant correlation between amino acid usage bias and hydropathicity of proteins for B. melitensis strain QY1. Compared with different Brucella species about synonymous codon usage patterns, synonymous codon usages are not obviously influenced by hosts. Due to nucleotide usage bias at the 1st codon position influencing synonymous codon and amino acid usages, good interactions among nucleotide, synonymous codon and amino acid usages exist in the evolutionary process of B. melitensis.