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Fang H, Li M, Yu S, Sun J, Qin Z. Codon usage bias of secretory protein in Fusarium oxysporum f. sp. cubense tropical race 4. J Basic Microbiol 2024; 64:e2300310. [PMID: 38358951 DOI: 10.1002/jobm.202300310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 01/25/2024] [Accepted: 02/03/2024] [Indexed: 02/17/2024]
Abstract
Banana Fusarium oxysporum f. sp. cubense tropical race 4 (Foc-TR4) is a highly destructive pathogen that infects nearly all major banana cultivars and has a tendency to spread further. Secreted proteins play a crucial role in the process of Fusarium wilt infection in bananas. In this study, we analyzed the codon usage bias (CUB) of the Foc-TR4 classical secretory protein genome for the first time and observed a strong bias toward codons ending with C. We found that 572 out of the 14,543 amino acid sequences in the Foc-TR4 genome exhibited characteristics of classical secretory proteins. The CUB was largely influenced by selection optimization pressure, as indicated by the ENC value and neutral plot analysis. Among the identified codons, such as UCC and CCC, 11 were found to be optimal for Foc-TR4 gene expression. Codons with higher GC content and a C base in the third position showed greater selectivity. The CUB in the secretory proteins encoded by Foc-TR4 provides insights into their evolutionary patterns, contributing to the development and screening of novel and effective antifungal drugs.
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Affiliation(s)
- Hui Fang
- Agricultural Science and Technology Information Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
- Medical College, and State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, China
| | - Min Li
- Agricultural Science and Technology Information Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Shenxin Yu
- Agricultural Science and Technology Information Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Jiaman Sun
- Guangxi Crop Genetic Improvement and Biotechnology Laboratory, Guangxi Academy of Agricultural Sciences, Nanning, China
| | - Zelin Qin
- Agricultural Science and Technology Information Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, China
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Suresh KP, Indrabalan UB, Shreevatsa B, Dharmashekar C, Singh P, Patil SS, Syed A, Elgorban AM, Eswaramoorthy R, Amachawadi RG, Shivamallu C, Kollur SP. Evaluation of codon usage patterns and molecular evolution dynamics in Japanese encephalitis virus: An integrated bioinformatics approach. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2023; 109:105410. [PMID: 36791944 DOI: 10.1016/j.meegid.2023.105410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 01/04/2023] [Accepted: 02/07/2023] [Indexed: 02/16/2023]
Abstract
In the recent survey, Japanese encephalitis (JE) is one of the most common mosquito-borne diseases, accounting for ∼30% of fatalities. The outbreaks of the JE virus (JEV) suggests that exhaustive study is essential for the prevention and management of the disease. The disease mainly spreads in humans and pigs by the vector: mosquito; as this is a major concern, this study had employed various bioinformatics tools to investigate the codon usage bias, evolutionary inference and selection pressure analysis of the Japanese encephalitis virus disease. The results indicated that the JE virus was biased and natural selection was the main factor shaping the codon usage that was determined and confirmed with the Nc, neutrality, PR2 plots and correlation analysis. The evolutionary analysis revealed that the virus had a substitution rate of 1.54 × 10-4 substitution/site/year and the tMRCA was found to be in 1723. The transmission of the virus in the map found transmissions mostly from China and transmitted across Asia and Africa. The selection pressure analysis employed three methods which had 969th codon site as diversifying site and had many purifying sites that shows the virus had evolved rapidly. The inferences from this study would aid people to employ this methodology on various diseases and also perform insilico studies in the field of vaccinology and immunoinformatics.
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Affiliation(s)
| | - Uma Bharathi Indrabalan
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka 560063, India
| | - Bhargav Shreevatsa
- Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research, Myuru 570015, Karnataka, India.
| | - Chandan Dharmashekar
- Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research, Myuru 570015, Karnataka, India.
| | - Pranav Singh
- Department of Internal Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Sharanagouda S Patil
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka 560063, India.
| | - Asad Syed
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia.
| | - Abdallah M Elgorban
- Department of Botany and Microbiology, College of Science, King Saud University, P.O. 2455, Riyadh 11451, Saudi Arabia.
| | - Rajalakshmanan Eswaramoorthy
- Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai 600 077, Tamilnadu, India.
| | - Raghavendra G Amachawadi
- Department of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS 66506-5606, USA.
| | - Chandan Shivamallu
- Department of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education & Research, Myuru 570015, Karnataka, India.
| | - Shiva Prasad Kollur
- School of Physical Sciences, Amrita Vishwa Vidhyapeetham, Mysuru Campus, Mysuru 570 026, Karnataka, India.
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Comparative Analysis on the Codon Usage Pattern of the Chloroplast Genomes in Malus Species. Biochem Genet 2022; 61:1050-1064. [DOI: 10.1007/s10528-022-10302-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 11/08/2022] [Indexed: 11/23/2022]
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Abstract
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.
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Affiliation(s)
- Shuonan Pan
- College of Veterinary Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China
| | - Chunxiao Mou
- College of Veterinary Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Institute of Comparative Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China
| | - Huiguang Wu
- College of Veterinary Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Institute of Comparative Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China
| | - Zhenhai Chen
- College of Veterinary Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Institute of Comparative Medicine, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China.,Joint International Research Laboratory of Agriculture and Agri-Product Safety, the Ministry of Education of China, Yangzhou University , Yangzhou, Jiangsu, People's Republic of China
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Patil SS, Indrabalan UB, Suresh KP, Shome BR. Analysis of codon usage bias of classical swine fever virus. Vet World 2021; 14:1450-1458. [PMID: 34316191 PMCID: PMC8304411 DOI: 10.14202/vetworld.2021.1450-1458] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/21/2021] [Indexed: 11/22/2022] Open
Abstract
Background and Aim: Classical swine fever (CSF), caused by CSF virus (CSFV), is a highly contagious disease in pigs causing 100% mortality in susceptible adult pigs and piglets. High mortality rate in pigs causes huge economic loss to pig farmers. CSFV has a positive-sense RNA genome of 12.3 kb in length flanked by untranslated regions at 5’ and 3’ end. The genome codes for a large polyprotein of 3900 amino acids coding for 11 viral proteins. The 1300 codons in the polyprotein are coded by different combinations of three nucleotides which help the infectious agent to evolve itself and adapt to the host environment. This study performed and employed various methods/techniques to estimate the changes occurring in the process of CSFV evolution by analyzing the codon usage pattern. Materials and Methods: The evolution of viruses is widely studied by analyzing their nucleotides and coding regions/codons using various methods. A total of 115 complete coding regions of CSFVs including one complete genome from our laboratory (MH734359) were included in this study and analysis was carried out using various methods in estimating codon usage bias and evolution. This study elaborates on the factors that influence the codon usage pattern. Results: The effective number of codons (ENC) and relative synonymous codon usage showed the presence of codon usage bias. The mononucleotide (A) has a higher frequency compared to the other mononucleotides (G, C, and T). The dinucleotides CG and CC are underrepresented and overrepresented. The codons CGT was underrepresented and AGG was overrepresented. The codon adaptation index value of 0.71 was obtained indicating that there is a similarity in the codon usage bias. The principal component analysis, ENC-plot, Neutrality plot, and Parity Rule 2 plot produced in this article indicate that the CSFV is influenced by the codon usage bias. The mutational pressure and natural selection are the important factors that influence the codon usage bias. Conclusion: The study provides useful information on the codon usage analysis of CSFV and may be utilized to understand the host adaptation to virus environment and its evolution. Further, such findings help in new gene discovery, design of primers/probes, design of transgenes, determination of the origin of species, prediction of gene expression level, and gene function of CSFV. To the best of our knowledge, this is the first study on codon usage bias involving such a large number of complete CSFVs including one sequence of CSFV from India.
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Affiliation(s)
- Sharanagouda S Patil
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka, India
| | - Uma Bharathi Indrabalan
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka, India
| | | | - Bibek Ranjan Shome
- ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, Karnataka, India
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Evolutionary Patterns of Codon Usage in Major Lineages of Porcine Reproductive and Respiratory Syndrome Virus in China. Viruses 2021; 13:v13061044. [PMID: 34072978 PMCID: PMC8228872 DOI: 10.3390/v13061044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 05/16/2021] [Accepted: 05/25/2021] [Indexed: 11/17/2022] Open
Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) is economically important and characterized by its extensive variation. The codon usage patterns and their influence on viral evolution and host adaptation among different PRRSV strains remain largely unknown. Here, the codon usage of ORF5 genes from lineages 1, 3, 5, and 8, and MLV strains of type 2 PRRSV in China was analyzed. A compositional property analysis of ORF5 genes revealed that nucleotide C is most frequently used at the third position of codons, accompanied by rich GC3s. The effective number of codon (ENC) and codon pair bias (CPB) values indicate that all ORF5 genes have low codon bias and the differences in CPB scores among four lineages are almost not significant. When compared with host codon usage patterns, lineage 1 strains show higher CAI and SiD values, with a high similarity to pig, which might relate to its predominant epidemic propensity in the field. The CAI, RCDI, and SiD values of ORF5 genes from different passages of MLV JXA1R indicate no relation between attenuation and CPB or codon adaptation decrease during serial passage on non-host cells. These findings provide a novel way of understanding the PRRSV's evolution, related to viral survival, host adaptation, and virulence.
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Codon usage bias in the H gene of canine distemper virus. Microb Pathog 2020; 149:104511. [PMID: 32961282 DOI: 10.1016/j.micpath.2020.104511] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/30/2020] [Accepted: 09/16/2020] [Indexed: 12/25/2022]
Abstract
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.
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Sexton NR, Ebel GD. Effects of Arbovirus Multi-Host Life Cycles on Dinucleotide and Codon Usage Patterns. Viruses 2019; 11:v11070643. [PMID: 31336898 PMCID: PMC6669465 DOI: 10.3390/v11070643] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 07/09/2019] [Accepted: 07/11/2019] [Indexed: 12/12/2022] Open
Abstract
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.
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Affiliation(s)
- Nicole R Sexton
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Gregory D Ebel
- Department of Microbiology, Immunology and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO 80523, USA.
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Tian L, Shen X, Murphy RW, Shen Y. The adaptation of codon usage of +ssRNA viruses to their hosts. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2018; 63:175-179. [PMID: 29864509 PMCID: PMC7106036 DOI: 10.1016/j.meegid.2018.05.034] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 05/16/2018] [Accepted: 05/31/2018] [Indexed: 02/05/2023]
Abstract
Viruses depend on their host's cellular structure to survive. Most of them do not have tRNAs, their translation relies on hosts' tRNA pools. Over the course of evolution, viruses needed to optimally exploit cellular processes of their host. Thus, codon usage of a virus should coevolve with its host to efficiently and rapidly replicate. Some viruses can invade a broad spectrum of hosts (BSTVs), while others can invade a narrow spectrum only (NSTVs). Consequently, we test the hypothesis that similarity of codon usage preference and the degree of matching between BSTVs and their hosts will be lower than that of NSTVs, which only need to coevolve with few hosts. We compare the patterns of codon usage in 255 virus genomes to test this hypothesis. Our results show that NSTVs have a higher degree of matching to their hosts' tRNA pools than BSTVs. Further, analysis of the effective number of codons (ENC) infers that codon usage bias of NSTVs is relatively stronger than that of BSTVs. Thus, codon usage of NSTVs tends to better match their host than that of BSTVs. This supports the hypothesis that viruses adapt to the expression system of their host(s).
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Affiliation(s)
- Lin Tian
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Shantou University Medical College, Shantou 515041, China
| | - Xuejuan Shen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Robert W Murphy
- Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto M5S 2C6, Canada
| | - Yongyi Shen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; Shantou University Medical College, Shantou 515041, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China.
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Gun L, Haixian P, Yumiao R, Han T, Jingqi L, Liguang Z. Codon usage characteristics of PB2 gene in influenza A H7N9 virus from different host species. INFECTION GENETICS AND EVOLUTION 2018; 65:430-435. [PMID: 30179716 DOI: 10.1016/j.meegid.2018.08.028] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 08/02/2018] [Accepted: 08/30/2018] [Indexed: 12/13/2022]
Abstract
The influenza A H7N9 virus is a highly contagious virus which can only infect poultry before early 2013. But after that time, it widely caused human infections in China and brought Southeast Asia great threaten in the public health area. The coding gene for polymerase basic protein 2 (PB2) in influenza A H7N9 virus encodes the PB2 protein, which is a part of the RNA polymerase. The enzyme lacks a correction function during its own replication process, so the mutation frequency of the influenza A H7N9 virus gene is high and the PB2 gene is also included. To investigate the codon usages characteristics of PB2 gene, gene sequences of 12 kinds of poultry are downloaded form the gene bank (NCBI) and their codon usage characteristics such as the effective number of codons (ENC), the evolutionary relationship of the sequences, the codon adaptation index (CAI), the correspondence analysis (COA), the relative synonymous codon usage (RSCU) and their PR2-bias are compared and studied. The value of these reults showed that there is a low codon usage bias in the PB2 gene. Then, the differences between the codon usages of PB2 gene from 12 kinds of poultry are compared and their potential applications are discussed. These results could lay a foundation for other further study on the evolution of H7N9.
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Affiliation(s)
- Li Gun
- Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi Province, China.
| | - Pan Haixian
- Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi Province, China
| | - Ren Yumiao
- Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi Province, China
| | - Tian Han
- Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi Province, China
| | - Lu Jingqi
- Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi Province, China
| | - Zhang Liguang
- Department of Biomedical Engineering, School of Electronics and Information Engineering, Xi'an Technological University, Xi'an, Shaanxi Province, China
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Takaaki K, Tatsuo S. Analysis of factors affecting codon usage bias in human papillomavirus. ACTA ACUST UNITED AC 2018. [DOI: 10.5897/jbsa2017.0106] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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