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Ma R, Li C, Gao A, Jiang N, Li J, Hu W, Feng X. Tick species diversity and potential distribution alternation of dominant ticks under different climate scenarios in Xinjiang, China. PLoS Negl Trop Dis 2024; 18:e0012108. [PMID: 38683839 PMCID: PMC11081513 DOI: 10.1371/journal.pntd.0012108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 05/09/2024] [Accepted: 03/27/2024] [Indexed: 05/02/2024] Open
Abstract
Ticks are a hematophagous parasite and a vector of pathogens for numerous human and animal diseases of significant importance. The expansion of tick distribution and the increased risk of tick-borne diseases due to global climate change necessitates further study of the spatial distribution trend of ticks and their potential influencing factors. This study constructed a dataset of tick species distribution in Xinjiang for 60 years based on literature database retrieval and historical data collection (January 1963-January 2023). The distribution data were extracted, corrected, and deduplicated. The dominant tick species were selected for analysis using the MaxEnt model to assess their potential distribution in different periods under the current and BCC-CSM2.MR mode scenarios. The results indicated that there are eight genera and 48 species of ticks in 108 cities and counties of Xinjiang, with Hyalomma asiaticum, Rhipicephalus turanicus, Dermacentor marginatus, and Haemaphysalis punctatus being the top four dominant species. The MaxEnt model analysis revealed that the suitability areas of the four dominant ticks were mainly distributed in the north of Xinjiang, in areas such as Altay and Tacheng Prefecture. Over the next four periods, the medium and high suitable areas within the potential distribution range of the four tick species will expand towards the northwest. Additionally, new suitability areas will emerge in Altay, Changji Hui Autonomous Prefecture, and other local areas. The 60-year tick dataset in this study provides a map of preliminary tick distribution in Xinjiang, with a diverse array of tick species and distribution patterns throughout the area. In addition, the MaxEnt model revealed the spatial change characteristics and future distribution trend of ticks in Xinjiang, which can provide an instrumental data reference for tick monitoring and tick-borne disease risk prediction not only in the region but also in other countries participating in the Belt and Road Initiative.
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Affiliation(s)
- Rui Ma
- College of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Chunfu Li
- College of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Ai Gao
- College of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Na Jiang
- College of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Jian Li
- College of Life Sciences, Inner Mongolia University, Hohhot, China
- Basic Medical College, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Wei Hu
- College of Life Sciences, Inner Mongolia University, Hohhot, 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, China
| | - Xinyu Feng
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai, China
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Cao XQ, Gu XL, Zhang L, Xu J, Han HJ, Yu XJ. Molecular detection of Rickettsia, Anaplasma, and Bartonella in ticks from free-ranging sheep in Gansu Province, China. Ticks Tick Borne Dis 2023; 14:102137. [PMID: 36738629 DOI: 10.1016/j.ttbdis.2023.102137] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 01/18/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023]
Abstract
Ticks pose a serious threat to public health as carriers and often vectors of zoonotic pathogens. There are few systematic studies on the prevalence and genetic diversity of tick-borne bacterial pathogens in Western China. In this study, 465 ticks were collected from free-ranging sheep in Gansu Province in China. Ticks were divided into 113 pools and tick DNA was extracted from these ticks. PCR assays were performed using specific primers to screen for tick-borne pathogens as well as sequence analysis based on the 16S rRNA (rrs), ompB, gltA, ompA genes for Rickettsia, rrs, groEL genes for Anaplasma, and ssrA and rpoB genes for Bartonella. The PCR results showed that the minimum infection rates with Rickettsia, Anaplasma, and Bartonella were 16.8% (78/465), 18.9% (88/465), and 0.9% (4/465), respectively. Sequence analysis based on the concatenated sequences of rrs-ompB-gltA-ompA indicated that the Rickettsia species identified in the ticks belonged to Rickettsia raoultii, Rickettsia slovaca, and Rickettsia sibirica, respectively; phylogenetic analysis based on the groEL gene showed that all Anaplasma strains identified were Anaplasma ovis; and phylogenetic analysis based on the ssrA and rpoB genes indicated that all Bartonella strains in the ticks belonged to Bartonella melophagi. The results of this study showed that ticks in Gansu Province harbored multiple pathogens that may cause rickettsial diseases and bartonellosis. These diseases were neglected in the area and physicians and public health workers need to pay attention to their diagnoses to prevent human infection.
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Affiliation(s)
- Xiao-Qian Cao
- State Key Laboratory of Virology, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Xiao-Lan Gu
- State Key Laboratory of Virology, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Li Zhang
- State Key Laboratory of Virology, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Jiao Xu
- State Key Laboratory of Virology, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Hui-Ju Han
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Ji'nan, Shandong, China.
| | - Xue-Jie Yu
- State Key Laboratory of Virology, School of Public Health, Wuhan University, Wuhan, Hubei, China.
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Altantogtokh D, Lilak AA, Takhampunya R, Sakolvaree J, Chanarat N, Matulis G, Poole-Smith BK, Boldbaatar B, Davidson S, Hertz J, Bolorchimeg B, Tsogbadrakh N, Fiorenzano JM, Lindroth EJ, von Fricken ME. Metagenomic profiles of Dermacentor tick pathogens from across Mongolia, using next generation sequencing. Front Microbiol 2022; 13:946631. [PMID: 36033893 PMCID: PMC9399792 DOI: 10.3389/fmicb.2022.946631] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 06/28/2022] [Indexed: 11/24/2022] Open
Abstract
Tick-borne diseases are a major public health concern in Mongolia. Nomadic pastoralists, which make up ~ 26% of Mongolia’s population, are at an increased risk of both tick bite exposure and economic loss associated with clinical disease in herds. This study sought to further characterize tick-borne pathogens present in Dermacentor ticks (n = 1,773) sampled in 2019 from 15 of Mongolia’s 21 aimags (provinces). The ticks were morphologically identified and sorted into 377 pools which were then screened using Next-Generation Sequencing paired with confirmatory PCR and DNA sequence analysis. Rickettsia spp. were detected in 88.33% of pools, while Anaplasma spp. and Bartonella spp. were detected in 3.18 and 0.79% of pools, respectively. Khentii had the highest infection rate for Rickettsia spp. (76.61%; CI: 34.65–94.79%), while Arkhangai had the highest infection rate for Anaplasma spp. (7.79%; CI:4.04–13.72%). The exclusive detection of Anaplasma spp. in tick pools collected from livestock supports previous work in this area that suggests livestock play a significant role in disease maintenance. The detection of Anaplasma, Bartonella, and Rickettsia demonstrates a heightened risk for infection throughout Mongolia, with this study, to our knowledge, documenting the first detection of Bartonella melophagi in ticks collected in Mongolia. Further research deploying NGS methods is needed to characterize tick-borne pathogens in other endemic tick species found in Mongolia, including Hyalomma asiaticum and Ixodes persulcatus.
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Affiliation(s)
| | - Abigail A. Lilak
- Department of Global and Community Health, George Mason University, Fairfax, VA, United States
| | - Ratree Takhampunya
- Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok, Thailand
| | - Jira Sakolvaree
- Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok, Thailand
| | - Nitima Chanarat
- Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok, Thailand
| | - Graham Matulis
- Department of Global and Community Health, George Mason University, Fairfax, VA, United States
| | - Betty Katherine Poole-Smith
- Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok, Thailand
| | - Bazartseren Boldbaatar
- School of Veterinary Medicine, Mongolian University of Life Sciences, Ulaanbaatar, Mongolia
| | - Silas Davidson
- Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok, Thailand
- Department of Chemistry and Life Science, US Military Academy, West Point, NY, United States
| | - Jeffrey Hertz
- Naval Medical Research Unit TWO (NAMRU-2), Sembawang, Singapore
| | | | | | | | - Erica J. Lindroth
- Department of Entomology, US Army Medical Directorate of the Armed Forces Research Institute of Medical Sciences (USAMD-AFRIMS), Bangkok, Thailand
| | - Michael E. von Fricken
- Department of Global and Community Health, George Mason University, Fairfax, VA, United States
- *Correspondence: Michael E. von Fricken,
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