Siddiq Ur Rahman, Yikui Hu, Hassan Ur Rehman, May M Alrashed, Kotb A Attia, Ubaid Ullah, Huiying Liang
{"title":"拉沙病毒同义密码子使用偏差分析。","authors":"Siddiq Ur Rahman, Yikui Hu, Hassan Ur Rehman, May M Alrashed, Kotb A Attia, Ubaid Ullah, Huiying Liang","doi":"10.1016/j.virusres.2025.199528","DOIUrl":null,"url":null,"abstract":"<p><p>Lassa virus genome consists of two single-stranded, negative-sense RNA segments that lie in the genus Arenavirus. The disease associated with the Lassa virus is distributed all over the world, with approximately 3,000,000-5,000,000 infections diagnosed annually in West Africa. It shows high health risks to the human being. Previous research used the evolutionary time scale and adaptive evolution to describe the Lassa virus population pattern. However, it is still unclear how the Lassa virus takes advantage of synonymous codons. In this study, we analyzed the codon usage bias in 162 Lassa virus strains by calculating and comparing the nucleotide contents, effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU), and others. The results disclosed that LASV strains are rich in A/T. The average ENC value indicated a low codon usage bias in LASVs. The ENC-plot, neutrality plot and parity rule 2 plot demonstrated that, besides mutational pressure, other factors like natural selection also contributed to codon usage bias. This study is significant because it described the pattern of codon usage in the genomes of the Lassa viruses and provided the information needed for a fundamental evolutionary study of them.</p>","PeriodicalId":23483,"journal":{"name":"Virus research","volume":" ","pages":"199528"},"PeriodicalIF":2.5000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Synonymous Codon Usage bias of Lassa virus.\",\"authors\":\"Siddiq Ur Rahman, Yikui Hu, Hassan Ur Rehman, May M Alrashed, Kotb A Attia, Ubaid Ullah, Huiying Liang\",\"doi\":\"10.1016/j.virusres.2025.199528\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Lassa virus genome consists of two single-stranded, negative-sense RNA segments that lie in the genus Arenavirus. The disease associated with the Lassa virus is distributed all over the world, with approximately 3,000,000-5,000,000 infections diagnosed annually in West Africa. It shows high health risks to the human being. Previous research used the evolutionary time scale and adaptive evolution to describe the Lassa virus population pattern. However, it is still unclear how the Lassa virus takes advantage of synonymous codons. In this study, we analyzed the codon usage bias in 162 Lassa virus strains by calculating and comparing the nucleotide contents, effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU), and others. The results disclosed that LASV strains are rich in A/T. The average ENC value indicated a low codon usage bias in LASVs. The ENC-plot, neutrality plot and parity rule 2 plot demonstrated that, besides mutational pressure, other factors like natural selection also contributed to codon usage bias. This study is significant because it described the pattern of codon usage in the genomes of the Lassa viruses and provided the information needed for a fundamental evolutionary study of them.</p>\",\"PeriodicalId\":23483,\"journal\":{\"name\":\"Virus research\",\"volume\":\" \",\"pages\":\"199528\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Virus research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.virusres.2025.199528\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"VIROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virus research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.virusres.2025.199528","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"VIROLOGY","Score":null,"Total":0}
Analysis of Synonymous Codon Usage bias of Lassa virus.
Lassa virus genome consists of two single-stranded, negative-sense RNA segments that lie in the genus Arenavirus. The disease associated with the Lassa virus is distributed all over the world, with approximately 3,000,000-5,000,000 infections diagnosed annually in West Africa. It shows high health risks to the human being. Previous research used the evolutionary time scale and adaptive evolution to describe the Lassa virus population pattern. However, it is still unclear how the Lassa virus takes advantage of synonymous codons. In this study, we analyzed the codon usage bias in 162 Lassa virus strains by calculating and comparing the nucleotide contents, effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU), and others. The results disclosed that LASV strains are rich in A/T. The average ENC value indicated a low codon usage bias in LASVs. The ENC-plot, neutrality plot and parity rule 2 plot demonstrated that, besides mutational pressure, other factors like natural selection also contributed to codon usage bias. This study is significant because it described the pattern of codon usage in the genomes of the Lassa viruses and provided the information needed for a fundamental evolutionary study of them.
期刊介绍:
Virus Research provides a means of fast publication for original papers on fundamental research in virology. Contributions on new developments concerning virus structure, replication, pathogenesis and evolution are encouraged. These include reports describing virus morphology, the function and antigenic analysis of virus structural components, virus genome structure and expression, analysis on virus replication processes, virus evolution in connection with antiviral interventions, effects of viruses on their host cells, particularly on the immune system, and the pathogenesis of virus infections, including oncogene activation and transduction.