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Aktürk Dizman Y. Exploring Codon Usage Patterns and Influencing Factors in Ranavirus DNA Polymerase Genes. J Basic Microbiol 2024; 64:e2400289. [PMID: 39099168 DOI: 10.1002/jobm.202400289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/05/2024] [Accepted: 07/20/2024] [Indexed: 08/06/2024]
Abstract
Ranaviruses, members of the genus Ranavirus within the family Iridoviridae, have become a significant concern for amphibian populations globally, along with other cold-blooded vertebrates, due to their emergence as a significant threat. We employed bioinformatics tools to examine the codon usage patterns in 61 DNA pol genes from Ranavirus, Lymphocystivirus, Megalocytivirus, and two unclassified ranaviruses, as no prior studies had been conducted on this topic. The results showed a slight or low level of codon usage bias (CUB) in the DNA pol genes of Ranavirus. Relative synonymous codon usage (RSCU) analysis indicated that the predominant codons favored in Ranavirus DNA pol genes terminate with C or G. Correlation analysis examining nucleotide content, third codon position, effective number of codons (ENC), correspondence analysis (COA), Aroma values, and GRAVY values indicated that the CUB across DNA pol genes could be influenced by both mutation pressure and natural selection. The neutrality plot indicated that natural selection is the primary factor driving codon usage. Furthermore, the analysis of the codon adaptation index (CAI) illustrated the robust adaptability of Ranavirus DNA pol genes to their hosts. Analysis of the relative codon deoptimization index (RCDI) suggested that Ranavirus DNA pol genes underwent greater selection pressure from their hosts. These findings will aid in comprehending the factors influencing the evolution and adaptation of Ranavirus to its hosts.
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Affiliation(s)
- Yeşim Aktürk Dizman
- Department of Biology, Faculty of Arts and Sciences, Recep Tayyip Erdoğan University, Rize, Türkiye
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Xu Q, Cao J, Rai KR, Zhu B, Liu D, Wan C. Codon usage bias of goose circovirus and its adaptation to host. Poult Sci 2024; 103:103775. [PMID: 38713985 PMCID: PMC11091504 DOI: 10.1016/j.psj.2024.103775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 04/03/2024] [Accepted: 04/13/2024] [Indexed: 05/09/2024] Open
Abstract
Goose circovirus (GoCV), a potential immunosuppressive virus possessing a circular single-stranded DNA genome, is widely distributed in both domesticated and wild geese. This virus infection causes significant economic losses in the waterfowl industry. The codon usage patterns of viruses reflect the evolutionary history and genetic architecture, allowing them to adapt quickly to changes in the external environment, particularly to their hosts. In this study, we retrieved the coding sequences (Rep and Cap) and the genome of GoCV from GenBank, conducting comprehensive research to explore the codon usage patterns in 144 GoCV strains. The overall codon usage of the GoCV strains was relatively similar and exhibited a slight bias. The effective number of codons (ENC) indicated a low overall extent of codon usage bias (CUB) in GoCV. Combined with the base composition and relative synonymous codon usage (RSCU) analysis, the results revealed a bias toward A- and G-ending codons in the overall codon usage. Analysis of the ENC-GC3s plot and neutrality plot suggested that natural selection plays an important role in shaping the codon usage pattern of GoCV, with mutation pressure having a minor influence. Furthermore, the correlations between ENC and relative indices, as well as correspondence analysis (COA), showed that hydrophobicity and geographical distribution also contribute to codon usage variation in GoCV, suggesting the possible involvement of natural selection. In conclusion, GoCV exhibits comparatively slight CUB, with natural selection being the major factor shaping the codon usage pattern of GoCV. Our research contributes to a deeper understanding of GoCV evolution and its host adaptation, providing valuable insights for future basic studies and vaccine design related to GoCV.
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Affiliation(s)
- Quanming Xu
- Scientific Research and Experiment Center, Fujian Police College, Fuzhou 350007, China
| | - Jie Cao
- Scientific Research and Experiment Center, Fujian Police College, Fuzhou 350007, China
| | - Kul Raj Rai
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Binling Zhu
- Department of Forensic Science, Fujian Police College, Fuzhou 350007, China
| | - Dan Liu
- China Institute of Veterinary Drug Control, Beijing, 100081, China
| | - Chunhe Wan
- Institute of Animal Husbandry and Veterinary Medicine/Fujian Key Laboratory for Avian Diseases Control and Prevention/Fujian Animal Diseases Control Technology Development Centre, Fujian Academy of Agricultural Sciences, Fuzhou 350013, China.
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Li B, Wu H, Miao Z, Hu L, Zhou L, Lu Y. Codon Usage of Hepatitis E Viruses: A Comprehensive Analysis. Front Microbiol 2022; 13:938651. [PMID: 35801104 PMCID: PMC9253588 DOI: 10.3389/fmicb.2022.938651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 05/30/2022] [Indexed: 11/25/2022] Open
Abstract
Hepatitis E virus (HEV) is an emerging zoonotic pathogen with multiple species and genotypes, which may be classified into human, animal, and zoonotic HEV. Codon usage bias of HEV remained unclear. This study aims to characterize the codon usage of HEV and elucidate the main drivers influencing the codon usage bias. A total of seven HEV genotypes, HEV-1 (human HEV), HEV-3 and HEV-4 (zoonotic HEV), HEV-8, HEV-B, HEV-C1, and HEV-C2 (emerging animal HEV), were included in the study. Complete coding sequences, ORF1, ORF2, and ORF3, were accordingly obtained in the GenBank. Except for HEV-8, the other six genotypes tended to use codons ending in G/C. Based on the analysis of relatively synonymous codon usage (RSCU) and principal component analysis (PCA), codon usage bias was determined for HEV genotypes. Codon usage bias differed widely across human, zoonotic, and animal HEV genotypes; furthermore, it varied within certain genotypes such as HEV-4, HEV-8, and HEV-C1. In addition, dinucleotide abundance revealed that HEV was affected by translation selection to form a unique dinucleotide usage pattern. Moreover, parity rule 2 analysis (PR2), effective codon number (ENC)-plot, and neutrality analysis were jointly performed. Natural selection played a leading role in forming HEV codon usage bias, which was predominant in HEV-1, HEV-3, HEV-B and HEV-C1, while affected HEV-4, HEV-8, and HEV-C2 in combination with mutation pressure. Our findings may provide insights into HEV evolution and codon usage bias.
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Affiliation(s)
- Bingzhe Li
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Han Wu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Ziping Miao
- Institute of Communicable Diseases Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Linjie Hu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Lu Zhou
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Yihan Lu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
- *Correspondence: Yihan Lu,
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Tikhomirova TS, Matyunin MA, Lobanov MY, Galzitskaya OV. In-depth analysis of amino acid and nucleotide sequences of Hsp60: how conserved is this protein? Proteins 2021; 90:1119-1141. [PMID: 34964171 DOI: 10.1002/prot.26294] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 12/21/2021] [Accepted: 12/23/2021] [Indexed: 11/07/2022]
Abstract
Chaperonin Hsp60, as a protein found in all organisms, is of great interest in medicine, since it is present in many tissues and can be used both as a drug and as an object of targeted therapy. Hence, Hsp60 deserves a fundamental comparative analysis to assess its evolutionary characteristics. It was found that the percent identity of Hsp60 amino acid sequences both within and between phyla was not high enough to identify Hsp60s as highly conserved proteins. However, their ATP binding sites are largely conserved. The amino acid composition of Hsp60s remained relatively constant. At the same time, the analysis of the nucleotide sequences showed that GC content in the Hsp60 genes was comparable to or greater than the genomic values, which may indicate a high resistance to mutations due to tight control of the nucleotide composition by DNA repair systems. Natural selection plays a dominant role in the evolution of Hsp60 genes. The degree of mutational pressure affecting the Hsp60 genes is quite low, and its direction does not depend on taxonomy. Interestingly, for the Hsp60 genes from Chordata, Arthropoda, and Proteobacteria the exact direction of mutational pressure could not be determined. However, upon further division into classes, it was found that the direction of the mutational pressure for Hsp60 genes from Fish differs from that for other chordates. The direction of the mutational pressure affects the synonymous codon usage bias. The number of high and low represented codons increases with increasing GC content, which can improve codon usage. Special server has been created for bioinformatics analysis of Hsp60: http://oka.protres.ru:4202/.
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Affiliation(s)
- Tatyana S Tikhomirova
- Institute for Biological Instrumentation of the Russian Academy of Sciences, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", Pushchino, Moscow Region, Russia
| | - Maxim A Matyunin
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Moscow Region, Russia
| | - Michail Yu Lobanov
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Moscow Region, Russia
| | - Oxana V Galzitskaya
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, Moscow Region, Russia
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region, Russia
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Xu X, Li P, Zhang Y, Wang X, Xu J, Wu X, Shen Y, Guo D, Li Y, Yao L, Li L, Song B, Ma J, Liu X, Xu S, Zhang H, Wu Z, Cao H. Comprehensive analysis of synonymous codon usage patterns in orf3 gene of porcine epidemic diarrhea virus in China. Res Vet Sci 2019; 127:42-46. [PMID: 31677415 PMCID: PMC7172109 DOI: 10.1016/j.rvsc.2019.09.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 09/24/2019] [Accepted: 09/26/2019] [Indexed: 11/15/2022]
Abstract
The ORF3 protein of porcine epidemic diarrhea virus (PEDV) is found to function as an ion channel which influences virus virulence and production. Taking consideration of the importance of PEDV orf3 gene, we have performed comprehensive analysis to investigate its synonymous codon usage patterns. In this study, the results of base composition analysis showed A/T rich and G/C poor in PEDV orf3 genes, and the most abundant base was nucleotide T. The relative synonymous codon usage value in each codon revealed that codon usage bias existed. The mean ENC value of each gene was 48.75, indicating a low codon usage bias, as well as a relatively instable change in PEDV orf3 genes. The general correlation analysis between base composition and codon usage bias indicated that mutational bias has an impact on the PEDV codon usage bias. Neutral analysis suggested that natural selection pressure takes a more important influence than mutational bias in shaping codon usage bias. Moreover, other factors including hydrophobicity and aromaticity have been also found to influence the codon usage variation among the PEDV orf3 genes. This study not only represents the most systematic analysis of codon usage patterns in PEDV orf3 genes, but also provides a basic shaping mechanism of the codon usage bias. ORF3 genes are A/T rich and C/G poor, and codon usage bias existed. Natural selection pressure plays a more important role than mutational bias in codon usage bias. Hydrophobicity and aromaticity also influence the codon usage variation.
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Affiliation(s)
- Xin Xu
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Branch of Animal Husbandry and Veterinary of HeiLongJiang Academy of Agricultural Sciences, Qiqihar 161005, China
| | - Pengfei Li
- Department of Nephrology, The Fifth Affiliated Hospital of Harbin Medical University, Daqing 163319, China
| | - Yating Zhang
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Xianhe Wang
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Jiaxin Xu
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Xuening Wu
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Yujiang Shen
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Dexuan Guo
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Yuchang Li
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Lili Yao
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Liyang Li
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Baifen Song
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Jinzhu Ma
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Xinyang Liu
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Shuyan Xu
- College of Science, HeiLongJiang BaYi Agricultural University, Daqing 163319, China
| | - Hua Zhang
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute of Chinese Academy of Agricultural Sciences, Harbin 150069, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China.
| | - Zhijun Wu
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China.
| | - Hongwei Cao
- College of Life Science and Technology, HeiLongJiang BaYi Agricultural University, Daqing 163319, China; Biotechnology Center, HeiLongJiang BaYi Agricultural University, Daqing 163319, China.
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Novel Primate Bocaparvovirus Species 3 Identified in Wild Macaca Mulatta in China. Virol Sin 2019; 35:34-42. [PMID: 31552610 DOI: 10.1007/s12250-019-00163-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 08/08/2019] [Indexed: 01/30/2023] Open
Abstract
Primate bocaparvovirus (BOV) is a possible cause of respiratory disorders and gastroenteritis in humans. However, the diversity and evolution of these viruses remain largely unknown, despite the identification of a growing number of BOVs in non-human primates (NHPs). Here, we report the identification of a novel BOV (provisionally named Macaca mulatta bocaparvovirus [MmBOV]) in the feces of wild Macaca mulatta in China by viral metagenomic analysis. Seven of 400 fecal samples from Macaca mulatta were positive for MmBOV. An almost complete genome sequence of 4,831 nucleotides was obtained, which had genomic organization and protein motifs similar to human bocaviruses (HOBVs), and shared characteristically low G/C content and weak codon usage bias. Sequence analyses of NS1, NP1, and VP1 revealed that MmBOV was most closely related to HBOV4 of Primate bocaparvovirus 2 (approximately 68.4%/70.6%, 73.3%/67.6%, and 70.4%/73.1% nucleotide/amino acid identities, respectively). Additionally, phylogenetic analysis revealed that MmBOV formed an independent peripheral branch, but clustered closely with those of the Primate bocaparvovirus species in the BOV genus (particularly HBOV4). These data strongly suggest that HBOV4 originated from NHP bocaparvoviruses around 200-300 years ago, and that NHPs may act as HBOV reservoirs. Following the International Committee of Taxonomy for Viruses guidelines, we propose MmBOV as a new species (tentatively named Primate bocaparvovirus 3) in the genus Bocaparvovirus, which is the first report of a novel species of primate BOV. Our data facilitate future research on the genetic diversity and evolution of primate bocaparvoviruses and highlight the importance of bocaparvovirus surveys in wild NHPs.
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