Evidence map›Paper›PMID 40696435›Full record

ArticleParasites & vectors2025

Identification of tickborne pathogens in cattle and sheep ticks from Kyrgyzstan using next-generation sequencing.

Ji Ye Seo, Jin Seo Park, Bekbolsun Aknazarov, Hee Il Lee

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Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Genetic uniformity and occurrence ofParasite epidemiology and control · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ji Ye SeoDivision 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.
Jin Seo ParkDivision 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.
Bekbolsun AknazarovFaculty of Veterinary Medicine, Kyrgyz National Agrarian University Named After K. I. Skryabin, Bishkek, 720005, Kyrgyzstan.
Hee Il LeeDivision 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. isak@korea.kr.

Funding

Korea Disease Control and Prevention Agency 6300-6332-305
6 · The paper itself

Abstract

backgroundVarious 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).

methodsIn 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.

resultsA 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.

conclusionsThis 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.

Indexed as

BacteriaCattle DiseasesSheep DiseasesTick-Borne DiseasesTick InfestationsTicksAnimalsCattleHigh-Throughput Nucleotide SequencingKyrgyzstanPhylogenyRNA, Ribosomal, 16SSheepRNA, Ribosomal, 16SAnaplasmaBartonellaEhrlichiaNext-generation sequencingSpotted fever group RickettsiaeTickTickborne pathogen

Identifiers

PMID40696435
PMCPMC12285077

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.