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Wu Y, Zhou Q, Mao M, Chen H, Qi R. Diversity of species and geographic distribution of tick-borne viruses in China. Front Microbiol 2024; 15:1309698. [PMID: 38476950 PMCID: PMC10929907 DOI: 10.3389/fmicb.2024.1309698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
Abstract
Introduction Tick-borne pathogens especially viruses are continuously appearing worldwide, which have caused severe public health threats. Understanding the species, distribution and epidemiological trends of tick-borne viruses (TBVs) is essential for disease surveillance and control. Methods In this study, the data on TBVs and the distribution of ticks in China were collected from databases and literature. The geographic distribution of TBVs in China was mapped based on geographic locations of viruses where they were prevalent or they were detected in vector ticks. TBVs sequences were collected from The National Center for Biotechnology Information and used to structure the phylogenetic tree. Results Eighteen TBVs from eight genera of five families were prevalent in China. Five genera of ticks played an important role in the transmission of TBVs in China. According to phylogenetic analysis, some new viral genotypes, such as the Dabieshan tick virus (DTV) strain detected in Liaoning Province and the JMTV strain detected in Heilongjiang Province existed in China. Discussion TBVs were widely distributed but the specific ranges of viruses from different families still varied in China. Seven TBVs belonging to the genus Orthonairovirus of the family Nairoviridae such as Nairobi sheep disease virus (NSDV) clustered in the Xinjiang Uygur Autonomous Region (XUAR) and northeastern areas of China. All viruses of the family Phenuiviridae except Severe fever with thrombocytopenia syndrome virus (SFTSV) were novel viruses that appeared in the last few years, such as Guertu virus (GTV) and Tacheng tick virus 2 (TcTV-2). They were mainly distributed in the central plains of China. Jingmen tick virus (JMTV) was distributed in at least fourteen provinces and had been detected in more than ten species of tick such as Rhipicephalus microplus and Haemaphysalis longicornis, which had the widest distribution and the largest number of vector ticks among all TBVs. Parainfluenza virus 5 (PIV5) and Lymphatic choriomeningitis virus (LCMV) were two potential TBVs in Northeast China that could cause serious diseases in humans or animals. Ixodes persulcatus carried the highest number of TBVs, followed by Dermacentor nuttalli and H. longicornis. They could carry as many as ten TBVs. Three strains of Tick-borne encephalitis (TBEV) from Inner Mongolia Province clustered with ones from Russia, Japan and Heilongjiang Province, respectively. Several SFTSV strains from Zhejiang Province clustered with strains from Korea and Japan. Specific surveillance of dominant TBVs should be established in different areas in China.
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Affiliation(s)
| | | | | | | | - Rui Qi
- Institute of Microbiome Frontiers and One Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, China
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Han X, Gao S, Xin Q, Yang M, Bi Y, Jiang F, Zeng Z, Kan W, Wang T, Chen Q, Chen Z. Spatial risk of Haemaphysalis longicornis borne Dabieshan tick virus (DBTV) in China. J Med Virol 2024; 96:e29373. [PMID: 38235541 DOI: 10.1002/jmv.29373] [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: 02/23/2023] [Revised: 12/06/2023] [Accepted: 12/25/2023] [Indexed: 01/19/2024]
Abstract
The uncertainty and unknowability of emerging infectious diseases have caused many major public health and security incidents in recent years. As a new tick-borne disease, Dabieshan tick virus (DBTV) necessitate systematic epidemiological and spatial distribution analysis. In this study, tick samples from Liaoning Province were collected and used to evaluate distribution of DBTV in ticks. Outbreak points of DBTV and the records of the vector Haemaphysalis longicornis in China were collected and used to establish a prediction model using niche model combined with environmental factors. We found that H. longicornis and DBTV were widely distributed in Liaoning Province. The risk analysis results showed that the DBTV in the eastern provinces of China has a high risk, and the risk is greatly influenced by elevation, land cover, and meteorological factors. The risk geographical area predicted by the model is significantly larger than the detected positive areas, indicating that the etiological survey is seriously insufficient. This study provided molecular and important epidemiological evidence for etiological ecology of DBTV. The predicted high-risk areas indicated the insufficient monitoring and risk evaluation and the necessity of future monitoring and control work.
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Affiliation(s)
- Xiaohu Han
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
| | - Shan Gao
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China
| | - Qing Xin
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
| | - Mingwei Yang
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China
| | - Yudan Bi
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
| | - Feng Jiang
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
| | - Zan Zeng
- Department of Vascular Surgery, The First Affiliated Hospital of the Navy Medical University, Shanghai, People's Republic of China
| | - Wei Kan
- Animal Disease Prevention and Control Center in Qinghai Province, Xining, People's Republic of China
| | - Tongyao Wang
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
| | - Qijun Chen
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
| | - Zeliang Chen
- Key Laboratory of Livestock Infectious Diseases, Ministry of Education, Shenyang Agricultural University, Shenyang, Liaoning, People's Republic of China
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China
- Innovative Institute of Zoonoses, Inner Mongolia Minzu University, Tongliao, People's Republic of China
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Ma R, Li C, Tian H, Zhang Y, Feng X, Li J, Hu W. The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model. Parasit Vectors 2023; 16:286. [PMID: 37587525 PMCID: PMC10428659 DOI: 10.1186/s13071-023-05870-6] [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: 05/01/2023] [Accepted: 07/04/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Ticks are known to transmit a wide range of diseases, including those caused by bacteria, viruses, and protozoa. The expansion of tick habitats has been intensified in recent years due to various factors such as global warming, alterations in microclimate, and human activities. Consequently, the probability of human exposure to diseases transmitted by ticks has increased, leading to a higher degree of risk associated with such diseases. METHODS In this study, we conducted a comprehensive review of domestic and international literature databases to determine the current distribution of tick species in Inner Mongolia. Next, we employed the MaxEnt model to analyze vital climatic and environmental factors influencing dominant tick distribution. Subsequently, we predicted the potential suitability areas of these dominant tick species under the near current conditions and the BCC-CSM2.MR model SSP245 scenario for the future periods of 2021-2040, 2041-2060, 2061-2080, and 2081-2100. RESULTS Our study revealed the presence of 23 tick species from six genera in Inner Mongolia, including four dominant tick species (Dermacentor nuttalli, Ixodes persulcatus, Dermacentor silvarum, and Hyalomma asiaticum). Dermacentor nuttalli, D. silvarum, and I. persulcatus are predominantly found in regions such as Xilin Gol and Hulunbuir. Temperature seasonality (Bio4), elevation (elev), and precipitation seasonality (Bio15) were the primary variables impacting the distribution of three tick species. In contrast, H. asiaticum is mainly distributed in Alxa and Bayannur and demonstrates heightened sensitivity to precipitation and other climatic factors. Our modeling results suggested that the potential suitability areas of these tick species would experience fluctuations over the four future periods (2021-2040, 2041-2060, 2061-2080, and 2081-2100). Specifically, by 2081-2100, the centroid of suitable habitat for D. nuttalli, H. asiaticum, and I. persulcatus was predicted to shift westward, with new suitability areas emerging in regions such as Chifeng and Xilin Gol. The centroid of suitable habitat for H. asiaticum will move northeastward, and new suitability areas are likely to appear in areas such as Ordos and Bayannur. CONCLUSIONS This study provided a comprehensive overview of the tick species distribution patterns in Inner Mongolia. Our research has revealed a significant diversity of tick species in the region, exhibiting a wide distribution but with notable regional disparities. Our modeling results suggested that the dominant tick species' suitable habitats will significantly expand in the future compared to their existing distribution under the near current conditions. Temperature and precipitation are the primary variables influencing these shifts in distribution. These findings can provide a valuable reference for future research on tick distribution and the surveillance of tick-borne diseases in the region.
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Affiliation(s)
- Rui Ma
- College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Chunfu Li
- College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Haoqiang Tian
- College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Yan Zhang
- College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China
| | - Xinyu Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of China Ministry of Health, WHO Collaborating Centre for Tropical Diseases, Joint Research Laboratory of Genetics and Ecology on Parasite-Host Interaction, Chinese Center for Disease Control and Prevention, Fudan University, Shanghai, 200025, China.
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 20025, China.
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, 20025, China.
| | - Jian Li
- College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
- Basic Medical College, Guangxi Traditional Chinese Medical University, Nanning, 530005, Guangxi, China.
| | - Wei Hu
- College of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory of Parasite and Vector Biology of China Ministry of Health, WHO Collaborating Centre for Tropical Diseases, Joint Research Laboratory of Genetics and Ecology on Parasite-Host Interaction, Chinese Center for Disease Control and Prevention, Fudan University, Shanghai, 200025, China.
- Department of Infectious Diseases, Huashan Hospital, State Key Laboratory of Genetic Engineering, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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Fracasso G, Grillini M, Grassi L, Gradoni F, Rold GD, Bertola M. Effective Methods of Estimation of Pathogen Prevalence in Pooled Ticks. Pathogens 2023; 12:pathogens12040557. [PMID: 37111443 PMCID: PMC10146257 DOI: 10.3390/pathogens12040557] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/29/2023] [Accepted: 04/02/2023] [Indexed: 04/09/2023] Open
Abstract
Since tick-borne diseases (TBDs) incidence, both in human and animal populations, is increasing worldwide, there is the need to assess the presence, distribution and prevalence of tick-borne pathogens. Reliable estimates on tick-borne pathogens (TBPs) prevalence represent the public health foundation to create risk maps and take effective prevention and control actions against TBDs. Tick surveillance consists of collecting and testing (usually in pools) thousands of specimens. Construction and analysis of tick pools represent a challenge due to the complexity of tick-borne pathogens and tick-borne diseases ecology. The aim of this study is to provide a practical guideline on appropriate pooling strategies and statistical analysis of infection prevalence through: (i) reporting the different pooling strategies and statistical methodologies commonly used to calculate pathogen prevalence in tick populations and (ii) practical comparison between statistical methods utilising a real dataset of infection prevalence in ticks collected in Northern Italy. Reporting detailed information on tick pool composition and size is as important as the correct TBPs prevalence estimation. Among the prevalence indexes, we suggest using maximum-likelihood estimates of pooled prevalence instead of minimum infection rate or pool positivity rate given the merits of the method and availability of software.
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Affiliation(s)
- Gerardo Fracasso
- Eco-Epidemiology Group, Department of Biomedical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium
- Evolutionary Ecology Group, Department of Biology, University of Antwerp, 2610 Wilrijk, Belgium
| | - Marika Grillini
- Department of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, Italy
| | - Laura Grassi
- Department of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, Italy
| | - Francesco Gradoni
- Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy
| | - Graziana da Rold
- Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy
| | - Michela Bertola
- Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy
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Sui L, Zhao Y, Wang W, Chi H, Tian T, Wu P, Zhang J, Zhao Y, Wei ZK, Hou Z, Zhou G, Wang G, Wang Z, Liu Q. Flavivirus prM interacts with MDA5 and MAVS to inhibit RLR antiviral signaling. Cell Biosci 2023; 13:9. [PMID: 36639652 PMCID: PMC9837762 DOI: 10.1186/s13578-023-00957-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 01/05/2023] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Vector-borne flaviviruses, including tick-borne encephalitis virus (TBEV), Zika virus (ZIKV), West Nile virus (WNV), yellow fever virus (YFV), dengue virus (DENV), and Japanese encephalitis virus (JEV), pose a growing threat to public health worldwide, and have evolved complex mechanisms to overcome host antiviral innate immunity. However, the underlying mechanisms of flavivirus structural proteins to evade host immune response remain elusive. RESULTS We showed that TBEV structural protein, pre-membrane (prM) protein, could inhibit type I interferon (IFN-I) production. Mechanically, TBEV prM interacted with both MDA5 and MAVS and interfered with the formation of MDA5-MAVS complex, thereby impeding the nuclear translocation and dimerization of IRF3 to inhibit RLR antiviral signaling. ZIKV and WNV prM was also demonstrated to interact with both MDA5 and MAVS, while dengue virus serotype 2 (DENV2) and YFV prM associated only with MDA5 or MAVS to suppress IFN-I production. In contrast, JEV prM could not suppress IFN-I production. Overexpression of TBEV and ZIKV prM significantly promoted the replication of TBEV and Sendai virus. CONCLUSION Our findings reveal the immune evasion mechanisms of flavivirus prM, which may contribute to understanding flavivirus pathogenicity, therapeutic intervention and vaccine development.
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Affiliation(s)
- Liyan Sui
- grid.430605.40000 0004 1758 4110Department of Infectious Diseases and Center of Infectious diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Key Laboratory of Zoonotic Diseases, The First Hospital of Jilin University, Changchun, China
| | - Yinghua Zhao
- grid.430605.40000 0004 1758 4110Department of Infectious Diseases and Center of Infectious diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Key Laboratory of Zoonotic Diseases, The First Hospital of Jilin University, Changchun, China
| | - Wenfang Wang
- grid.64924.3d0000 0004 1760 5735College of Basic Medical Science, Jilin University, Changchun, China
| | - Hongmiao Chi
- grid.64924.3d0000 0004 1760 5735College of Basic Medical Science, Jilin University, Changchun, China
| | - Tian Tian
- grid.64924.3d0000 0004 1760 5735College of Basic Medical Science, Jilin University, Changchun, China
| | - Ping Wu
- grid.412246.70000 0004 1789 9091College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Jinlong Zhang
- grid.430605.40000 0004 1758 4110Department of Infectious Diseases and Center of Infectious diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Key Laboratory of Zoonotic Diseases, The First Hospital of Jilin University, Changchun, China
| | - Yicheng Zhao
- grid.430605.40000 0004 1758 4110Department of Infectious Diseases and Center of Infectious diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Key Laboratory of Zoonotic Diseases, The First Hospital of Jilin University, Changchun, China
| | - Zheng-Kai Wei
- grid.443369.f0000 0001 2331 8060School of Life Sciences and Engineering, Foshan University, Foshan, China
| | - Zhijun Hou
- grid.412246.70000 0004 1789 9091College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Guoqiang Zhou
- grid.482450.f0000 0004 8514 6702The Biological safety level-3 Laboratory, Changchun Institute of Biological Products Co., Ltd, Changchun, China
| | - Guoqing Wang
- grid.64924.3d0000 0004 1760 5735College of Basic Medical Science, Jilin University, Changchun, China
| | - Zedong Wang
- grid.430605.40000 0004 1758 4110Department of Infectious Diseases and Center of Infectious diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Key Laboratory of Zoonotic Diseases, The First Hospital of Jilin University, Changchun, China
| | - Quan Liu
- grid.430605.40000 0004 1758 4110Department of Infectious Diseases and Center of Infectious diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, Key Laboratory of Zoonotic Diseases, The First Hospital of Jilin University, Changchun, China ,grid.443369.f0000 0001 2331 8060School of Life Sciences and Engineering, Foshan University, Foshan, China
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Liu Z, Li L, Xu W, Yuan Y, Liang X, Zhang L, Wei Z, Sui L, Zhao Y, Cui Y, Yin Q, Li D, Li Q, Hou Z, Wei F, Liu Q, Wang Z. Extensive diversity of RNA viruses in ticks revealed by metagenomics in northeastern China. PLoS Negl Trop Dis 2022; 16:e0011017. [PMID: 36542659 PMCID: PMC9836300 DOI: 10.1371/journal.pntd.0011017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 01/12/2023] [Accepted: 12/11/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Ticks act as important vectors of infectious agents, and several emerging tick-borne viruses have recently been identified to be associated with human diseases in northeastern China. However, little is known about the tick virome in northeastern China. METHODS Ticks collected from April 2020 to July 2021 were pooled for metagenomic analysis to investigate the virome diversity in northeastern China. RESULTS In total, 22 RNA viruses were identified, including four each in the Nairoviridae and Phenuiviridae families, three each in the Flaviviridae, Rhabdoviridae, and Solemoviridae families, two in the Chuviridae family, and one each in the Partitiviridae, Tombusviridae families and an unclassified virus. Of these, eight viruses were of novel species, belonging to the Nairoviridae (Ji'an nairovirus and Yichun nairovirus), Phenuiviridae (Mudanjiang phlebovirus), Rhabdoviridae (Tahe rhabdovirus 1-3), Chuviridae (Yichun mivirus), and Tombusviridae (Yichun tombus-like virus) families, and five members were established human pathogens, including Alongshan virus, tick-borne encephalitis virus, Songling virus, Beiji nairovirus, and Nuomin virus. I. persulcatus ticks had significant higher number of viral species than H. japonica, H. concinna, and D. silvarum ticks. Significant differences in tick viromes were observed among Daxing'an, Xiaoxing'an and Changbai mountains. CONCLUSIONS These findings showed an extensive diversity of RNA viruses in ticks in northeastern China, revealing potential public health threats from the emerging tick-borne viruses. Further studies are needed to explain the natural circulation and pathogenicity of these viruses.
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Affiliation(s)
- Ziyan Liu
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
- Laboratory of Pathogen Microbiology and Immunology, College of Life Science, Jilin Agricultural University, Changchun, Jilin Province, People’s Republic of China
| | - Liang Li
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, Jilin Province, People’s Republic of China
| | - Wenbo Xu
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
| | - Yongxu Yuan
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, Jilin Province, People’s Republic of China
| | - Xiaojie Liang
- Laboratory of Pathogen Microbiology and Immunology, College of Life Science, Jilin Agricultural University, Changchun, Jilin Province, People’s Republic of China
| | - Li Zhang
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, Jilin Province, People’s Republic of China
| | - Zhengkai Wei
- School of Life Sciences and Engineering, Foshan University, Foshan, Guangdong Province, People’s Republic of China
| | - Liyan Sui
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
| | - Yinghua Zhao
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
| | - Yanyan Cui
- College of Food Science and Engineering, Tonghua Normal University, Tonghua, Jilin Province, People’s Republic of China
| | - Qing Yin
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
| | - Dajun Li
- College of Food Science and Engineering, Jilin Agricultural University, Changchun, Jilin Province, People’s Republic of China
| | - Qianxue Li
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, Jilin Province, People’s Republic of China
| | - Zhijun Hou
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, Heilongjiang Province, People’s Republic of China
| | - Feng Wei
- Laboratory of Pathogen Microbiology and Immunology, College of Life Science, Jilin Agricultural University, Changchun, Jilin Province, People’s Republic of China
| | - Quan Liu
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, Jilin Province, People’s Republic of China
- School of Life Sciences and Engineering, Foshan University, Foshan, Guangdong Province, People’s Republic of China
| | - Zedong Wang
- Department of Infectious Diseases, Center of Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of education, The First Hospital of Jilin University, State Key Laboratory of Zoonotic Diseases, Changchun, Jilin Province, People’s Republic of China
- Changchun Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, Jilin Province, People’s Republic of China
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Zhang M, Tian J, Li H, Cang M. The comparative genomic analysis provides insights into the phylogeny and virulence of tick-borne encephalitis virus vaccine strain Senzhang. PLoS One 2022; 17:e0273565. [PMID: 36018897 PMCID: PMC9417034 DOI: 10.1371/journal.pone.0273565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 08/11/2022] [Indexed: 11/19/2022] Open
Abstract
Tick-borne encephalitis virus (TBEV) is one of the most dangerous tick-borne viral pathogens for humans. It can cause severe tick-borne encephalitis (TBE), multiple neurological complications, and death. The European subtype (TBEV-Eu), Siberian subtype (TBEV-Sib), and Far-Eastern subtype (TBEV-FE) are three main TBEV subtypes, causing varying clinical manifestations. Though TBEV-FE is the most virulent TBEV subtype, the degree of variation in the amino acid sequence of TBEV polyprotein is not high, leaving an issue without proper explanation. We performed phylogenic analysis on 243 TBEV strains and then took Senzhang strain as a query strain and representative strains of three major TBEV subtypes as reference strains to perform the comparative genomic analysis, including synteny analysis, SNP analysis, InDel analysis, and multiple sequence alignment of their envelope (E) proteins. The results demonstrated that insertions or deletions of large fragments occurred at the 3’ end but not at the 5’ end or in the CDS region of TBEV Senzhang strain. In addition, SNP sites are mainly located in the CDS region, with few SNP sites in the non-coding region. Our data highlighted the insertions or deletions of large fragments at the 3’ end and SNP sites in the CDS region as genomic properties of the TBEV Senzhang strain compared to representative strains with the main subtypes. These features are probably related to the virulence of the TBEV Senzhang strain and could be considered in future vaccine development and drug target screening for TBEV.
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Affiliation(s)
- Meng Zhang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot, People’s Republic of China
| | - Jingyong Tian
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot, People’s Republic of China
| | - Hongying Li
- Department of Pediatrics, Tongliao City General Hospital, Tongliao, Inner Mongolia, People’s Republic of China
| | - Ming Cang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot, People’s Republic of China
- * E-mail:
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