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Original Article

Latitude and seasons influence the prevalence of Theileria orientalis and affect the hematology of non-grazed dairy cows in Korea
Hector Espiritu, Hee-Woon Lee, Md Shohel Al Faruk, Su-Jeong Jin, Sang-Suk Lee, Yong-Il Cho
Parasites Hosts Dis 2024;62(1):64-74.
Published online February 23, 2024
DOI: https://doi.org/10.3347/PHD.23087
This pilot study aimed to investigate the effects of regional and seasonal variations on the prevalence of Theileria orientalis and the hematological profile of non-grazed dairy cows in Korea. A total of 365 clinically healthy lactating Holstein Friesian cows from 26 dairy farms in 7 provinces that were categorized into northern, central, and southern regions were sampled during the warm period from July to August and the cold period from October to December. The detection of T. orientalis major piroplasm surface protein gene and the hematology non-grazed dairy cows were analyzed using peripheral blood samples. The T. orientalis prevalence was 20.0% (73/365). The prevalence in the southern region was 35.9%, which was significantly higher than that in the central (21.6%) and northern (12.9%) regions (P < 0.05). The prevalence during warm period was higher (43.0%) than that during the cold season (13.5%). The infected cows showed significantly lower erythrocyte counts in the southern region (5.8 ± 0.6 M/µl) and during the warm period (5.8 ± 0.7 M/µl) compared with those in the central and northern regions and during the cold season, which affected the extended RBC parameters, including hematocrit and hemoglobin concentrations. Our findings revealed the prevalence of T. orientalis in Korea, highlighting its high occurrence during warm periods and in certain geographical regions. Climatic factors could contribute to the health and productivity of cattle, as evidenced by the prevalence of T. orientalis and its negative impact on animals.

Citations

Citations to this article as recorded by  Crossref logo
  • Characterization and identification of novel polymorphisms in the OR51H1 gene associated with resistance/tolerance to natural Theileria infection in Vechur (Bos indicus) and crossbred (B. taurus × B. indicus) cattle in a Theileria-endemic region
    K. Kalaiyarasi, Muhammed Elayadeth-Meethal
    Veterinary Parasitology: Regional Studies and Reports.2025; 60: 101242.     CrossRef
  • Molecular characterization of tick genera Haemaphysalis, Ixodes, and Amblyomma in Korea
    Subin Lee, Badriah Alkathiri, Kyu-Sung Ahn, Jiwon Kim, So Youn Youn, Mi-Sun Yoo, Hyang-Sim Lee, Jae-Myung Kim, Dongmi Kwak, Sung Shik Shin, Seung-Hun Lee
    Parasites, Hosts and Diseases.2025; 63(3): 272.     CrossRef
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  • 2 Web of Science
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Brief Communication
Molecular Detection of Toxoplasma gondii in Haemaphysalis Ticks in Korea
Ju Yeong Kim, You Shine Kwak, In-Yong Lee, Tai-Soon Yong
Korean J Parasitol 2020;58(3):327-331.
Published online June 26, 2020
DOI: https://doi.org/10.3347/kjp.2020.58.3.327
Toxoplasma gondii are intracellular protozoa that can cause neurological disease or death in fetuses and even in immunocompromised human adults. Ticks are recognized as vectors of many microorganisms including viruses, bacteria, and protozoa. Recent studies detected T. gondii in various tick species in many countries. In this study, we performed PCR detection of the T. gondii B1 gene from Haemaphysalis ticks collected from vegetation in 4 localities, Wonju, Gunsan, Miryang, and Yangsan, in Korea. We analyzed DNA from 314 ticks (268 Haemaphysalis longicornis and 46 Haemaphysalis flava) and the B1 gene of T. gondii was detected in 13 of these. The detection of T. gondii in ticks differed significantly by region (P=0.021). T. gondii was detected in the following percentages of collected ticks: 3.7% (7 of 189) in Gunsan, 10% (5 of 50) in Wonju, 16.7% (1 of 6) in Yangsan, and 0% (0 of 69) in Miryang. The detection of T. gondii in ticks was not associated with tick species or development stage. This is the first report of T. gondii detection in ticks in Korea. Our results provide important information necessary to understand toxoplasmosis transmission.

Citations

Citations to this article as recorded by  Crossref logo
  • A higher infection rate of Toxoplasma gondii in soft ticks infesting domestic hens: A novel report from Pakistan
    Bisma Khan, Sidra Batool, Sadia Shahnawaz, Shakir Ullah, Muhammad Naeem, Umme Habiba, Shaheen Akhter, Adil Khan, Furhan Iqbal
    Veterinary Parasitology: Regional Studies and Reports.2025; 57: 101147.     CrossRef
  • Molecular detection of Toxoplasma gondii in ticks and their respective host dogs
    Min-Goo Seo, Dongmi Kwak
    Parasites, Hosts and Diseases.2025; 63(1): 66.     CrossRef
  • One Health Approach to Toxoplasmosis: Owner and Dog Seropositivity as Spatial Indicators of Risk Areas for Acquired, Gestational and Congenital Transmission
    Natacha Sohn-Hausner, Ricardo Guedes Correa, Louise Bach Kmetiuk, Evelyn Cristine da Silva, Gustavo Nunes de Moraes, Gabrielle dos Santos Rocha, Helio Langoni, Alexander Welker Biondo
    Tropical Medicine and Infectious Disease.2024; 9(7): 143.     CrossRef
  • DNA Barcoding Using 18S rRNA Gene Fragments for Identification of Tick-Borne Protists in Ticks in the Republic of Korea
    Badriah Alkathiri, Subin Lee, KyuSung Ahn, So Youn Youn, Mi-Sun Yoo, Hyang-Sim Lee, Yun Sang Cho, Jaeyun Jung, Kwangwon Seo, Soochong Kim, Rika Umemiya-Shirafuji, Xuenan Xuan, Dongmi Kwak, SungShik Shin, Seung-Hun Lee
    Pathogens.2024; 13(11): 941.     CrossRef
  • Prevalence and genotyping of Toxoplasma gondii in questing Ixodes ricinus ticks from forest areas of Northern Poland
    Małgorzata Adamska
    Experimental and Applied Acarology.2024; 93(4): 907.     CrossRef
  • Detection of Multiple Intracellular Bacterial Pathogens in Haemaphysalis flava Ticks Collected from Hedgehogs in Central China
    Li-Zhu Fang, Si-Cong Lei, Zhi-Jian Yan, Xiao Xiao, Jian-Wei Liu, Xiao-Qing Gong, Hao Yu, Xue-Jie Yu
    Pathogens.2021; 10(2): 115.     CrossRef
  • Characterization of AV422 from Haemaphysalis flava ticks in vitro
    Lei Liu, Hao Tang, De-yong Duan, Jin-bao Liu, Jie Wang, Li-li Feng, Tian-yin Cheng
    Experimental and Applied Acarology.2021; 84(4): 809.     CrossRef
  • 7,104 View
  • 160 Download
  • 9 Web of Science
  • Crossref