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Liu YT, Wang YF, Zhang MZ, Zhu DY, Sun Y, Gong CW, Zhan L, Cui XM, Cao WC. High Diversity and Prevalence of Rickettsial Agents in Rhipicephalus microplus Ticks from Livestock in Karst Landscapes of Southwest China. Microorganisms 2025; 13:765. [PMID: 40284602 PMCID: PMC12029551 DOI: 10.3390/microorganisms13040765] [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: 03/03/2025] [Revised: 03/22/2025] [Accepted: 03/25/2025] [Indexed: 04/29/2025] Open
Abstract
Ticks and tick-borne pathogens pose a significant threat to human and animal health, yet the diversity and prevalence of tick-borne microorganisms in karst regions remains inadequately explored. In October 2023, a total of 274 Rhipicephalus microplus ticks were collected from livestock in Guizhou Province, which boasts the largest karst area in China. Pathogen identification was subsequently performed using PCR amplification, Sanger sequencing, and phylogenetic analysis. High microbial diversity was noted, with five bacterial species from the order Rickettsiales detected, including those from the genera Rickettsia (family Rickettsiaceae), Anaplasma, and Ehrlichia (family Anaplasmataceae). The overall prevalence of infection with at least one pathogen was remarkably high at 94.5%. The highest positive rate was observed for Candidatus Rickettsia jingxinensis at 90.9%. A novel Ehrlichia species, provisionally designated as Candidatus Ehrlichia carsus, was identified with a positive rate of 16.8%. In addition, Anaplasma marginale, Ehrlchia minasensis and Ehrlichia canis were detected in 15.3%, 4.7% and 1.5%, respectively. The co-infections involving two or three rickettsial species were observed in 34.3% ticks. These findings highlight the high diversity and prevalence of tick-borne rickettsial agents in the karst area, underscoring the need for enhanced surveillance and effective tick control to mitigate disease risks to both humans and livestock.
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Affiliation(s)
- Ya-Ting Liu
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China; (Y.-T.L.)
| | - Yi-Fei Wang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; (Y.-F.W.)
| | - Ming-Zhu Zhang
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; (Y.-F.W.)
| | - Dai-Yun Zhu
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China; (Y.-T.L.)
| | - Yi Sun
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China; (Y.-T.L.)
| | - Cai-Wei Gong
- Animal Husbandry Development Center of Qiannan Buyei and Miao Autonomous Prefecture, Duyun 558000, China
| | - Lin Zhan
- National Health Commission Key Laboratory of Pulmonary Immunological Diseases, Guizhou Provincial People’s Hospital, Guiyang 550001, China
| | - Xiao-Ming Cui
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China; (Y.-T.L.)
| | - Wu-Chun Cao
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing 100071, China; (Y.-T.L.)
- Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China; (Y.-F.W.)
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Min P, Song J, Zhao S, Ma Z, Meng Y, Tang Z, Wang Z, Lin S, Zhao F, Liu M, Wang L, Jia L. Tick species, tick-borne pathogen distribution and risk factor analysis in border areas of China, Russia and North Korea. Front Vet Sci 2025; 12:1529253. [PMID: 40007747 PMCID: PMC11851528 DOI: 10.3389/fvets.2025.1529253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2024] [Accepted: 01/28/2025] [Indexed: 02/27/2025] Open
Abstract
Introduction Ticks are important ectoparasites of livestock. Ticks and tick-borne diseases (TBDs) cause losses to the animal husbandry industry and also present a major hidden danger to public health and safety. However, the tick species and prevalence of TBDs in border regions of China, Russia, and North Korea remain unknown. The purpose of this study was to identify the tick species and tick-borne pathogens endemic in these regions. Methods Morphological and molecular identification of ticks was performed by microscopy and polymerase chain reaction (PCR), and the distribution of tick species, pathogen, and risk factors of infection were analyzed. Results In total, 1,187 ticks were collected from the border areas of 13 localities in eight cities. Five tick species were identified: Haemaphysalis longicornis (39.68%), Ixodes persulcatus (25.36%), Haemaphysalis japonica (15.50%), Dermacentor silvarum (15.42%), and Haemaphysalis concinna (4.04%). There were more female than male ticks, and nymphs were the least frequently collected. I. persulcatus was the main species in the forest environment, while H. longicornis was the main species in grasslands and animal surface. Four pathogens were detected: Rickettsia, Bartonella, Anaplasma, and Babesia. Discussion Pathogen detection in ticks differed significantly among the environments and between Sexes. There were significant differences in the proportion of ticks infected with Rickettsia, Bartonella, Anaplasma, and Babesia among regions, species, sexes, and environments. The results of this survey of the tick species in border areas of China, Russia, and North Korea provided a scientific basis for the prevention and control of TBDs.
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Affiliation(s)
- Pengfei Min
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Jianchen Song
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Shaowei Zhao
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Zhen Ma
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Yinbiao Meng
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Zeyu Tang
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Zhenyu Wang
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Sicheng Lin
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Fanglin Zhao
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Meng Liu
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Longsheng Wang
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
| | - Lijun Jia
- Engineering Research Center of North-East Cold Region Beef Cattle Science and Technology Innovation, Ministry of Education, Yanbian University, Yanji, China
- State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, College of Veterinary Medicine, Jilin University, Changchun, China
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Seo JY, Park JS, Lee HI, Ju JW. Molecular Identification of Spotted Fever Group Rickettsiae in Ticks in the Republic of Korea. Pathogens 2024; 13:575. [PMID: 39057802 PMCID: PMC11280320 DOI: 10.3390/pathogens13070575] [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: 06/14/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
The Rickettsia species transmitted by ticks are mostly classified within the spotted fever group rickettsiae (SFGR), which causes tick-borne rickettsiosis. Although efforts have been made to investigate their prevalence in the Republic of Korea (ROK), research has been limited to certain areas. Furthermore, the pooling method for ticks does not fully reflect the exact infection rate. Therefore, we aimed to perform molecular identification of SFGR in ticks to elucidate the current prevalence of tick-borne rickettsiosis in the ROK. The SFGR of ticks was identified using polymerase chain reaction targeting the 17 kDa antigen, ompA, and gltA, followed by sequencing for species identification and phylogenetic analysis. In total, 302 ticks belonging to four species (Haemaphysalis flava, H. longicornis, Ixodes nipponensis, and Amblyomma testudinarium) were collected between April and November 2022. The overall SFGR infection rate was 26.8% (81/302 patients). Both adult and nymphal ticks and the SFGR infection rate increased during April-May, reaching their peaks in June, followed by a marked decline in August and July, respectively. Phylogenetic analysis revealed three species (R. monacensis, R. heilongjiangensis, and Candidatus R. jingxinensis) of SFGR. Thus, our results emphasize the importance of tick surveys for the prevention and management of tick-borne rickettsiosis.
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Affiliation(s)
| | | | | | - Jung-Won Ju
- Division of Vectors and Parasitic Diseases, Korea Disease Control and Prevention Agency, 187 Osongsaengmyeong 2-ro, Osong-eup, Heungdeok-gu, Cheongju 28159, Chungbuk, Republic of Korea
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Tian J, Liu J, Zhao H, Chen X, Geng X, Lu M, Li K. Molecular surveillance reveals a potential hotspot of tick-borne disease in Yakeshi City, Inner Mongolia. BMC Microbiol 2023; 23:359. [PMID: 37986042 PMCID: PMC10662550 DOI: 10.1186/s12866-023-03110-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/06/2023] [Indexed: 11/22/2023] Open
Abstract
A molecular surveillance of tick-borne diseases was performed in Hulunbuir City, Inner Mongolia. A total of 149 ticks including three species (Ixodes persulcatus, Haemaphysalis concinna, and Dermacentor silvarum) were collected. As many as 11 tick-borne bacterial pathogens were identified in them. Some of them have high positive rates. For example, Candidatus Rickettsia tarasevichiae was detected with a high prevalence of 72.48%, while Candidatus Lariskella sp. was detected in 31.54% of ticks. For both Rickettsia raoultii and Anaplasma phagocytophilum, two distinct genotypes were identified based on their phylogenetic trees based on 16S rRNA, gltA, and groEL sequences. Remarkable genetic diversity was also observed for 16S and flaB genes of Borreliella garinii, an agent of Lyme disease. Rickettsia heilongjiangensis causing Far-Eastern spotted fever (2.68%, 4/149), Ehrlichia muris causing human ehrlichiosis (4.70%, 7/149), Borrelia miyamotoi causing relapsing fever (2.01%, 3/149), and Borreliella afzelii causing Lyme disease (2.01%, 3/149) were also detected. Additionally, a previously uncharacterized Anaplasma species closely related to Anaplasma ovis was identified. Herein we name it "Candidatus Anaplasma mongolica". Based on these results, we propose that Yakeshi City might be a potential hotspot of tick-borne diseases.
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Affiliation(s)
- Junhua Tian
- Wuhan Center for Disease Control and Prevention, Wuhan City, Hubei Province, 430024, China
| | - Jing Liu
- Wuhan Center for Disease Control and Prevention, Wuhan City, Hubei Province, 430024, China
| | - Hongqing Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping District, Beijing City, 102206, China
| | - Xiaomin Chen
- Wuhan Center for Disease Control and Prevention, Wuhan City, Hubei Province, 430024, China
| | - Xueqin Geng
- Caidian Center for Disease Control and Prevention, Wuhan City, Hubei Province, 430100, China
| | - Miao Lu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping District, Beijing City, 102206, China.
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping Liuzi 5, Beijing, 102206, China.
| | - Kun Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping District, Beijing City, 102206, China.
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping Liuzi 5, Beijing, 102206, China.
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