Tick species diversity and potential distribution alternation of dominant ticks under different climate scenarios in Xinjiang, China

被引:4
|
作者
Ma, Rui [1 ]
Li, Chunfu [1 ]
Gao, Ai [1 ]
Jiang, Na [1 ]
Li, Jian [1 ,2 ]
Hu, Wei [1 ,3 ]
Feng, Xinyu [4 ,5 ]
机构
[1] Inner Mongolia Univ, Coll Life Sci, Hohhot, Peoples R China
[2] Guangxi Univ Chinese Med, Basic Med Coll, Nanning, Guangxi, Peoples R China
[3] Fudan Univ, Dept Infect Dis, State Key Lab Genet Engn,Sch Life Sci,Huashan Hosp, Minist Educ,Key Lab Biodivers Sci & Ecol Engn,Key, Shanghai, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Med, Chinese Ctr Trop Dis Res, Sch Global Hlth, Shanghai, Peoples R China
[5] Univ Edinburgh, Shanghai Jiao Tong Univ, One Hlth Ctr, Shanghai, Peoples R China
来源
PLOS NEGLECTED TROPICAL DISEASES | 2024年 / 18卷 / 04期
关键词
ONCHOCERCIASIS-CONTROL-PROGRAM;
D O I
10.1371/journal.pntd.0012108
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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 Region, 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. Tick-borne diseases pose a significant threat to public health worldwide, and their spread is being intensified by global climate change. The need for further research into the spatial distribution and influencing factors of ticks is becoming increasingly urgent. Our study compiled a comprehensive 60-year dataset on tick species distribution in Xinjiang to analyze trends and predict future distributions.The study identified eight genera and 48 tick species across 108 cities and counties in Xinjiang, with Hyalomma asiaticum, Rhipicephalus turanicus, Dermacentor marginatus, and Haemaphysalis punctatus being the four dominant species. In addition, our study forecasts a northward expansion of suitable habitats for these species towards Altay and Tacheng Prefecture, with new suitability areas expected in Altay and the Changji Hui Autonomous Region. The findings of this study provide a crucial map of tick distribution and offer valuable insights into future trends, serving as a valuable resource for tick monitoring and disease risk prediction in Xinjiang, particularly in light of the devastating effects of tick-borne diseases on human health.
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收藏
页数:23
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