Seo Ji Ye, Park Jin Seo, Aknazarov Bekbolsun, Lee Hee Il
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.
Faculty of Veterinary Medicine, Kyrgyz National Agrarian University Named After K. I. Skryabin, Bishkek, 720005, Kyrgyzstan.
Parasit Vectors. 2025 Jul 22;18(1):292. doi: 10.1186/s13071-025-06919-4.
Various tickborne diseases and pathogens in livestock have been reported in Kyrgyzstan; however, comprehensive molecular analyses from ticks and their tickborne pathogen diversity in the region are lacking. This study aimed to identify tick species and bacterial pathogens infesting cattle and sheep across Kyrgyzstan using amplicon-based next-generation sequencing (NGS).
In 2022, ticks were collected from livestock across seven provinces and subjected to molecular analyses. Genomic DNA was extracted from ticks for species identification based on cytochrome c oxidase I (COI) gene sequence analyses. Pathogens were screened using amplicon NGS targeting the V3-V4 region of the 16S rRNA gene, followed by confirmation using polymerase chain reaction (PCR) and Sanger sequencing.
A total of 546 ticks belonging to two families, five genera, and 12 species were identified. The dominant species were Dermacentor spp. (30.2%), Hyalomma marginatum (17.2%), Hyalomma scupense (13.4%), and Haemaphysalis punctata (11.7%). Furthermore, 11.7% of ticks tested positive for bacterial pathogens, including spotted fever group Rickettsiae (8.6%), Anaplasma (2.7%), Ehrlichia (0.2%), and Bartonella (0.2%). Coxiella burnetii and Francisella tularensis were not detected.
This is the first nationwide study on bacterial pathogens in ticks in Kyrgyzstan and the first reports of spotted fever group Rickettsiae and Bartonella in the country. These findings improve our understanding of tickborne disease epidemiology and highlight the utility of NGS as an efficient screening method for capturing pathogen diversity in arthropod vectors.
吉尔吉斯斯坦已报告了家畜中多种蜱传疾病和病原体;然而,该地区蜱及其蜱传病原体多样性的全面分子分析尚属缺乏。本研究旨在利用基于扩增子的下一代测序(NGS)来鉴定吉尔吉斯斯坦各地感染牛和羊的蜱种及细菌病原体。
2022年,从七个省份的家畜身上采集蜱,并进行分子分析。从蜱中提取基因组DNA,基于细胞色素c氧化酶I(COI)基因序列分析进行物种鉴定。使用靶向16S rRNA基因V3 - V4区域的扩增子NGS筛选病原体,随后通过聚合酶链反应(PCR)和桑格测序进行确认。
共鉴定出546只蜱,分属于两个科、五个属和12个种。优势种为 Dermacentor spp.(30.2%)、边缘璃眼蜱(Hyalomma marginatum,17.2%)、刻点璃眼蜱(Hyalomma scupense,13.4%)和微小牛蜱(Haemaphysalis punctata,11.7%)。此外,11.7%的蜱检测出细菌病原体呈阳性,包括斑点热群立克次体(8.6%)、无形体属(Anaplasma,2.7%)、埃立克体属(Ehrlichia,0.2%)和巴尔通体属(Bartonella,0.2%)。未检测到伯氏考克斯体(Coxiella burnetii)和土拉弗朗西斯菌(Francisella tularensis)。
这是吉尔吉斯斯坦首次针对蜱中细菌病原体的全国性研究,也是该国首次报告斑点热群立克次体和巴尔通体。这些发现增进了我们对蜱传疾病流行病学的理解,并突出了NGS作为捕获节肢动物媒介中病原体多样性的有效筛选方法的实用性。