Evidence map›Paper›PMID 42098846›Full record

ArticleParasites & vectors2026

Genetic diversity and population structure of the Dermacentor nuttalli in Northern China inferred from microsatellite markers.

Chunfu Li, Mengyun Liu, Saira Afzal, Muhammad Uzair Mukhtar, Nazrullozoda Sulaimon, Eman E El Shanawany, Bolor Bold, Chimedtseren Bayasgalan, Rui Ma, Shurong Wang and 11 more

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Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

21 authors.

Chunfu Li *School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Mengyun Liu *School of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Saira AfzalDepartment of Medical Entomology and Parasitology, Institute of Public Health, Lahore, 54000, Pakistan.
Muhammad Uzair MukhtarDepartment of Medical Entomology and Parasitology, Institute of Public Health, Lahore, 54000, Pakistan.
Nazrullozoda SulaimonInstitute of Veterinary Medicine of the Tajik Academy of Agricultural Sciences, 734025, Dushanbe, Republic of Tajikistan.
Eman E El ShanawanyDepartment of Parasitology and Animal Diseases, National Research Centre, El Buhouth St., Dokki, Cairo, 12622, Egypt.
Bolor BoldNational Center for Zoonotic Diseases, Songinokhairkhan District, Ulaanbaatar, 18131, Mongolia.
Chimedtseren BayasgalanDepartment of Infectious Diseases and Microbiology, School of Veterinary Medicine, Mongolian University of Life Sciences, Ulaanbaatar, 17024, Mongolia.
Rui MaSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Shurong WangSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Jinghui ZhaoSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Zhebin HuSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Benguang ZhangShandong Institute of Parasitic Diseases, Shandong First Medical University-Shandong Academy of Medical Sciences, Jining, 271016, China.
Zhaoan ShengDepartment of Pathogenic Biology, Jining Medical University, Jining, 272067, China.
Lijuan LiuShandong Institute of Parasitic Diseases, Shandong First Medical University-Shandong Academy of Medical Sciences, Jining, 271016, China.
Zengyun HuSchool of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 20025, China.
Zihan ZhaoInner Mongolia Helan Mountain National Nature Protection Bureau, Alxa League, 750306, China.
Jian LiSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China.
Fang LuoSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China. 111993095@imu.edu.cn.
Wei HuSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China. huw@imu.edu.cn.
Xinyu FengSchool of Life Sciences, Inner Mongolia University, Hohhot, 010070, China. fengxinyu2013@163.com.

Funding

Study on pathogen spectrum, temporal and spatial distribution and transmission features of the important emerging and re-emerging zoonosis in Inner Mongolia Autonomous Region U22A20526the Foundation of Key Laboratory of Veterinary Biotechnology BD1500010the Key Research and Development Program sponsored by the Ministry of Science and Technology (MOST) 2023YFA1801000The National Key R&D Program of China 2025YFE0104200This work was supported by the National Natural Science Foundation of China 82572613Zoonotic disease prevention and Control Technology Innovation team 2022SLJRC0023
6 · The paper itself

Abstract

backgroundDermacentor nuttalli is a dominant tick species in northern China and adjacent regions, where it poses significant threats to public health and the livestock industry through the transmission of diverse zoonotic pathogens. Understanding its population genetic structure is crucial for elucidating dispersal patterns and informing control strategies. However, the lack of high-resolution molecular markers has hindered such investigations. This study aimed to develop microsatellite markers and use them to assess the genetic diversity and structure of D. nuttalli populations across northern China.

methodsGenome-wide microsatellite mining was conducted using the D. nuttalli reference genome. A total of 192 adult ticks were collected from five geographic locations in northern China. Genotyping was performed using 15 novel, highly polymorphic markers selected through a multi-step filtering process. Genetic diversity, population structure, molecular variance, gene flow and isolation by distance were investigated in population genetic analyses.

resultsThe 15 selected markers exhibited high polymorphism, with a mean polymorphic information content of 0.66. Genetic diversity varied among populations, with the Hulunbuir population showing the highest diversity levels. Population structure analyses consistently revealed two primary genetic clusters: one comprising populations from Yan'an, Bayannur, Ulanqab and Hulunbuir, and another consisting solely of the Hohhot population. Analysis of molecular variance indicated that 36.9% of the total genetic variation occurred among populations, reflecting substantial genetic differentiation (F

conclusionsThis study provides the first set of microsatellite markers for D. nuttalli and reveals a complex population structure in northern China. Host movement and anthropogenic factors appear to shape this structure more strongly than geographic distance. Notably, the isolated Hohhot population parasitizing wild hedgehogs suggests host-associated genetic differentiation and relatively localized transmission dynamics. These findings highlight the need for differentiated control strategies, including wildlife-focused surveillance in peri-urban areas and targeted livestock management in pastoral systems.

Indexed as

DermacentorGenetic VariationMicrosatellite RepeatsAnimalsChinaGene FlowGenetics, PopulationGenotypeDermacentor nuttalliGenetic diversityMicrosatellitePopulation structure

Identifiers

PMID42098846
PMCPMC13317360

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