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Seo J, Kim G, Lim JA, Song S, Yoo DS, Cho HS, Oh Y. Tick Diversity and Pathogen Transmission in Daejeon, Korea: Implications from Companion Animals and Walking Trails. Vet Sci 2024; 11:90. [PMID: 38393108 PMCID: PMC10892892 DOI: 10.3390/vetsci11020090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/04/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
With the ongoing global warming-induced climate change, there has been a surge in vector-borne diseases, particularly tick-borne diseases (TBDs). As the population of companion animals grows, there is growing concern from a One Health perspective about the potential for these animals to spread TBDs. In this study, ticks were collected from companion animals and the surrounding environment in Daejeon Metropolitan City, Korea, using flagging and dragging, and CO2 trap methods. These ticks were then subjected to conventional (nested) PCR for severe fever with thrombocytopenia syndrome virus (SFTSV), Anaplasma spp., Ehrlichia spp., and Borrelia spp. We identified a total of 29,176 ticks, consisting of three genera and four species: H. longicornis, H. flava, I. nipponensis, and A. testudinarium. Notably, H. longicornis was the predominant species. The presence of A. testudinarium suggested that the species traditionally found in southern regions are migrating northward, likely as a result of climate change. Our PCR results confirmed the presence of all four pathogens in both companion animals and the surrounding environment, underscoring the potential for the indirect transmission of tick-borne pathogens to humans through companion animals. These findings emphasize the importance of the ongoing surveillance of companion animals in the management and control of TBDs.
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Affiliation(s)
- Jinwoo Seo
- Division of Animal Health, Daejeon Institute of Health and Environment, Daejeon 34142, Republic of Korea; (J.S.); (J.-a.L.); (S.S.)
| | - Gyurae Kim
- College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Republic of Korea;
| | - Jeong-ah Lim
- Division of Animal Health, Daejeon Institute of Health and Environment, Daejeon 34142, Republic of Korea; (J.S.); (J.-a.L.); (S.S.)
| | - Seungho Song
- Division of Animal Health, Daejeon Institute of Health and Environment, Daejeon 34142, Republic of Korea; (J.S.); (J.-a.L.); (S.S.)
| | - Dae-Sung Yoo
- College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Republic of Korea;
| | - Ho-Seong Cho
- College of Veterinary Medicine and Bio-Safety Research Institute, Jeonbuk National University, Iksan 54596, Republic of Korea;
| | - Yeonsu Oh
- College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Republic of Korea;
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Sang MK, Patnaik HH, Park JE, Song DK, Jeong JY, Hong CE, Kim YT, Shin HJ, Ziwei L, Hwang HJ, Park SY, Kang SW, Park SH, Cha SJ, Ko JH, Shin EH, Park HS, Jo YH, Han YS, Patnaik BB, Lee YS. Transcriptome analysis of Haemaphysalis flava female using Illumina HiSeq 4000 sequencing: de novo assembly, functional annotation and discovery of SSR markers. Parasit Vectors 2023; 16:367. [PMID: 37848984 PMCID: PMC10583488 DOI: 10.1186/s13071-023-05923-w] [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: 05/11/2023] [Accepted: 08/09/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Ticks are ectoparasites capable of directly damaging their hosts and transmitting vector-borne diseases. The ixodid tick Haemaphysalis flava has a broad distribution that extends from East to South Asia. This tick is a reservoir of severe fever with thrombocytopenia syndrome virus (SFTSV) that causes severe hemorrhagic disease, with cases reported from China, Japan and South Korea. Recently, the distribution of H. flava in South Korea was found to overlap with the occurrence of SFTSV. METHODS This study was undertaken to discover the molecular resources of H. flava female ticks using the Illumina HiSeq 4000 system, the Trinity de novo sequence assembler and annotation against public databases. The locally curated Protostome database (PANM-DB) was used to screen the putative adaptation-related transcripts classified to gene families, such as angiotensin-converting enzyme, aquaporin, adenylate cyclase, AMP-activated protein kinase, glutamate receptors, heat shock proteins, molecular chaperones, insulin receptor, mitogen-activated protein kinase and solute carrier family proteins. Also, the repeats and simple sequence repeats (SSRs) were screened from the unigenes using RepeatMasker (v4.0.6) and MISA (v1.0) software tools, followed by the designing of SSRs flanking primers using BatchPrimer 3 (v1.0) software. RESULTS The transcriptome produced a total of 69,822 unigenes, of which 46,175 annotated to the homologous proteins in the PANM-DB. The unigenes were also mapped to the EuKaryotic Orthologous Groups (KOG), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) specializations. Promiscuous presence of protein kinase, zinc finger (C2H2-type), reverse transcriptase, and RNA recognition motif domains was observed in the unigenes. A total of 3480 SSRs were screened, of which 1907 and 1274 were found as tri- and dinucleotide repeats, respectively. A list of primer sequences flanking the SSR motifs was detailed for validation of polymorphism in H. flava and the related tick species. CONCLUSIONS The reference transcriptome information on H. flava female ticks will be useful for an enriched understanding of tick biology, its competency to act as a vector and the study of species diversity related to disease transmission.
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Affiliation(s)
- Min Kyu Sang
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Research Support Center for Bio-Bigdata Analysis and Utilization of Biological Resources, Soonchunhyang University, Asan, Chungnam, South Korea
| | - Hongray Howrelia Patnaik
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
| | - Jie Eun Park
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Research Support Center for Bio-Bigdata Analysis and Utilization of Biological Resources, Soonchunhyang University, Asan, Chungnam, South Korea
| | - Dae Kwon Song
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Research Support Center for Bio-Bigdata Analysis and Utilization of Biological Resources, Soonchunhyang University, Asan, Chungnam, South Korea
| | - Jun Yang Jeong
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - Chan Eui Hong
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - Yong Tae Kim
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - Hyeon Jun Shin
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - Liu Ziwei
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - Hee Ju Hwang
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - So Young Park
- Biodiversity Research Team, Animal & Plant Research Department, Nakdonggang National Institute of Biological Resources, Sangju, Gyeongbuk, South Korea
| | - Se Won Kang
- Biological Resource Center (BRC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, Jeonbuk, South Korea
| | - Seung-Hwan Park
- Biological Resource Center (BRC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, Jeonbuk, South Korea
| | - Sung-Jae Cha
- Johns Hopkins Malaria Research Institute, Department of Molecular Microbiology & Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jung Ho Ko
- Police Science Institute, Korean National Police University, Asan, Chungnam, 31539, South Korea
| | - E Hyun Shin
- Research Institute, Korea Pest Control Association, Seoul, 08501, South Korea
| | - Hong Seog Park
- Research Institute, GnC BIO Co., LTD., 621-6 Banseok-dong, Yuseong-gu, Daejeon, 34069, South Korea
| | - Yong Hun Jo
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
| | - Yeon Soo Han
- College of Agriculture and Life Science, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea
| | - Bharat Bhusan Patnaik
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea
- PG Department of Biosciences and Biotechnology, Fakir Mohan University, Nuapadhi, Balasore , Odisha, 756089, India
| | - Yong Seok Lee
- Korea Native Animal Resources Utilization Convergence Research Institute (KNAR), Soonchunhyang University, Asan, Chungnam, South Korea.
- Research Support Center for Bio-Bigdata Analysis and Utilization of Biological Resources, Soonchunhyang University, Asan, Chungnam, South Korea.
- Department of Biology, College of Natural Sciences, Soonchunhyang University, Asan, 31538, Chungnam, South Korea.
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Wang SS, Liu JY, Wang BY, Wang WJ, Cui XM, Jiang JF, Sun Y, Guo WB, Pan YS, Zhou YH, Lin ZT, Jiang BG, Zhao L, Cao WC. Geographical distribution of Ixodes persulcatus and associated pathogens: Analysis of integrated data from a China field survey and global published data. One Health 2023; 16:100508. [PMID: 36875889 PMCID: PMC9975318 DOI: 10.1016/j.onehlt.2023.100508] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 02/09/2023] [Accepted: 02/09/2023] [Indexed: 02/18/2023] Open
Abstract
The increasing incidence and range expansion of tick-borne diseases have caused global threats to human and animal health under the background of climate and socioeconomic changes. As an efficient vector in transmission of tick-borne diseases, a growing burden caused by Ixodes persulcatus and associated pathogens could not be underestimated. This study summarized the distribution, hosts, and pathogens of I. persulcatus, and predicted the suitable habitats of this tick species worldwide. An integrated database involving a field survey, reference book, literature review, and related website was constructed. Location records of I. persulcatus and associated pathogens were incorporated into distribution maps using ArcGIS software. Positive rates for I. persulcatus-associated agents were estimated by meta-analysis. The global distribution of the tick species was predicted using Maxent model. I. persulcatus was distributed in 14 countries across the Eurasian continent, involving Russia, China, Japan, and several Baltic Sea states, which ranged between 21°N to 66°N. The tick species fed on 46 species of hosts, and 51 tick-borne agents could be harbored by I. persulcatus. The predictive model showed that I. persulcatus could be predominantly distributed in northern Europe, western Russia, and northern China. Our study fully clarified the potential public health risks posed by I. persulcatus and I. persulcatus-borne pathogens. Surveillance and control measures of tick-borne diseases should be enhanced to promote the health of humans, animals, and ecosystems.
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Affiliation(s)
- Shan-Shan Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jin-Yue Liu
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bao-Yu Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wen-Jing Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiao-Ming Cui
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Jia-Fu Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yi Sun
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Wen-Bin Guo
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yu-Sheng Pan
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Yu-Hao Zhou
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Zhe-Tao Lin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Bao-Gui Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Lin Zhao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wu-Chun Cao
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
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Mohamed WMA, Moustafa MAM, Kelava S, Barker D, Matsuno K, Nonaka N, Shao R, Mans BJ, Barker SC, Nakao R. Reconstruction of mitochondrial genomes from raw sequencing data provides insights on the phylogeny of Ixodes ticks and cautions for species misidentification. Ticks Tick Borne Dis 2021; 13:101832. [PMID: 34607157 DOI: 10.1016/j.ttbdis.2021.101832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 06/02/2021] [Accepted: 09/07/2021] [Indexed: 11/17/2022]
Abstract
High-throughput sequencing (HTS) technology has profoundly been involved in sequencing whole genomes of several organisms in a fast and cost-effective manner. Although HTS provides an alternative biomonitoring method to the time-consuming and taxonomy-expertise dependent morphological approach, still we cannot rule out the possibility of the impediment and misidentification biases. In this article we aim to retrieve whole mitochondrial genome (mitogenome) sequences from publicly available raw sequencing data for phylogenetic comparison of Ixodes persulcatus. For this comparison, we sequenced whole mitogenomes of four I. persulcatus ticks from Japan and constructed mitogenomes from raw sequencing data of 74 I. persulcatus ticks from China. Bayesian phylogenetic trees were inferred by the concatenated fifteen mitochondrial genes. We further tested our results by the phylogenetic analysis of cytochrome c oxidase subunit 1 (cox1) gene and internal transcribed spacer 2 (ITS2) sequences. Our findings showed that 70 constructed mitogenomes from China were clustered with the sequenced four mitogenomes of I. persulcatus from Japan. We also revealed that mitogenome sequences retrieved from two data sets CRR142297 and CRR142298 were clustered with Ixodes nipponensis. Moreover, other two mitogenome sequences from CRR142310 and CRR142311 formed a clade with Ixodes pavlovskyi. The phylogenetic analysis of cox1 gene and ITS2 sequences confirmed the identification errors of these four samples. The overall phylogenetics in our study concluded that accurate morphological identification is necessary before implementing HTS to avoid any misidentification biases.
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Affiliation(s)
- Wessam Mohamed Ahmed Mohamed
- Laboratory of Parasitology, Department of Disease Control, Graduate School of Infectious Diseases, Faculty of Veterinary Medicine, Hokkaido University, Japan; Division of Bioinformatics, International Institute for Zoonosis Control, Hokkaido University, Hokkaido 001-0020, Japan
| | - Mohamed Abdallah Mohamed Moustafa
- Laboratory of Parasitology, Department of Disease Control, Graduate School of Infectious Diseases, Faculty of Veterinary Medicine, Hokkaido University, Japan; Department of Animal Medicine, Faculty of Veterinary Medicine, South Valley University, Qena, 83523, Egypt.
| | - Samuel Kelava
- Department of Parasitology, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Dayana Barker
- School of Veterinary Science, University of Queensland, Gatton Qld, 4343, Australia
| | - Keita Matsuno
- Division of Risk Analysis and Management, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; One Health Research Center, Hokkaido University, Sapporo 060-0818, Japan
| | - Nariaki Nonaka
- Laboratory of Parasitology, Department of Disease Control, Graduate School of Infectious Diseases, Faculty of Veterinary Medicine, Hokkaido University, Japan
| | - Renfu Shao
- School of Science, Technology and Engineering, GeneCology Research Centre, University of the Sunshine Coast, Sippy Downs, Queensland 4558, Australia
| | - Ben J Mans
- Epidemiology, Parasites and Vectors, Agricultural Research Council-Onderstepoort Veterinary Research, Onderstepoort 0110, South Africa; Department of Life and Consumer Sciences, University of South Africa, South Africa; Department of Veterinary Tropical Diseases, University of Pretoria, Pretoria 0110, South Africa
| | - Stephen C Barker
- Department of Parasitology, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Ryo Nakao
- Laboratory of Parasitology, Department of Disease Control, Graduate School of Infectious Diseases, Faculty of Veterinary Medicine, Hokkaido University, Japan.
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