ArticleVirus research2023
Codon usage bias of Venezuelan equine encephalitis virus and its host adaption.
Article in Virus research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Transgene sequence codon optimization and composition determines replication competence of self-amplifying RNA.Molecular therapy : the journal of the American Society of Gene Therapy · 2026Article
- The Emerging JEV Genotype 5 Exhibits Distinct Codon Usage Characteristics.Pathogens (Basel, Switzerland) · 2026Article
- Codon Usage Bias of the Polyphenol Oxidase Genes inPlants (Basel, Switzerland) · 2025Article
- Genetic and codon usage analyses reveal the evolution of the seoul virus.Frontiers in genetics · 2025Article
- Comprehensive analysis of the codon usage patterns in the polyprotein coding sequences of the honeybee viruses.Frontiers in veterinary science · 2025Article
- Genetic background of adaptation of Crimean-Congo haemorrhagic fever virus to the different tick hosts.PloS one · 2024Article
- Analysis of codon usage bias of thioredoxin in apicomplexan protozoa.Parasites & vectors · 2023Article
- Codon usage bias analysis of the gene encoding NADArchives of microbiology · 2023Article
- Comparative analysis of codon usage patterns ofFrontiers in microbiology · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Venezuelan equine encephalitis virus (VEEV) is an emerging zoonotic virus in the alphavirus genus. It can be transmitted to humans due to spillover from equid-mosquito cycles. The symptoms caused by VEEV include fever, headache, myalgia, nausea, and vomiting. It can also cause encephalitis in severe cases. The evolutionary features of VEEV are largely unknown. In this study, we comprehensively analyzed the codon usage pattern of VEEV by computing a variety of indicators, such as effective number of codons (ENc), codon adaptation index (CAI), relative synonymous codon usage (RSCU), on 130 VEEV coding sequences retrieved from GenBank. The results showed that the codon usage bias of VEEV is relatively low. ENc-GC3s plot, neutrality plot, and CAI-ENc correlation analyses supported that translational selection plays an important role in shaping the codon usage pattern of VEEV whereas the mutation pressure has a minor influence. Analysis of RSCU values showed that most of the preferred codons in VEEV are C/G-ended. Analysis of dinucleotide composition found that all CG- and UA-containing codons are not preferentially used. Phylogenetic analysis showed that VEEV isolates can be clustered into three genera and evolutionary force affects the codon usage pattern. Furthermore, a correspondence analysis (COA) showed that aromaticity and hydrophobicity as well as geographical distribution also have certain effects on the codon usage variation of VEEV, suggesting the possible involvement of translational selection. Overall, the codon usage of VEEV is comparatively slight and translational selection might be the main factor that shapes the codon usage pattern of VEEV. This study will promote our understanding about the evolution of VEEV and its host adaption, and might provide some clues for preventing the cross-species transmission of VEEV.
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