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Parasitology Research

, Volume 114, Issue 1, pp 65–69 | Cite as

Molecular identification of Theileria and Babesia in ticks collected from sheep and goats in the Black Sea region of Turkey

  • Mehmet Fatih AydinEmail author
  • Munir Aktas
  • Nazir Dumanli
Original Paper

Abstract

A molecular survey was undertaken in the Black Sea region of Turkey to determine the presence of Theileria and Babesia species of medical and veterinary importance. The ticks were removed from sheep and goats, pooled according to species and locations, and analyzed by PCR-based reverse line blot (RLB) and sequencing. A total of 2241 ixodid ticks belonging to 5 genus and 12 species were collected and divided into 310 pools. Infection rates were calculated as the maximum likelihood estimation (MLE) with 95 % confidence intervals (CI). Of the 310 pools tested, 46 (14.83 %) were found to be infected with Theileria or Babesia species, and the overall MLE of the infection rate was calculated as 2.27 % (CI 1.67–2.99). The MLE of the infection rates were calculated as 0.691 % (CI 0.171–1.78) in Haemaphysalis parva, 1.47 % (CI 0.081–6.37) in Rhipicephalus sanguineus, 1.84 % (CI 0.101–7.87) in Ixodes ricinus, 2.86 % (CI 1.68–4.48) in Rhipicephalus turanicus, 5.57 % (CI 0.941–16.3) in Hyalomma marginatum, and 6.2 % (CI 4.02–9.02) in Rhipicephalus bursa. Pathogens identified in ticks included Theileria ovis, Babesia ovis, Babesia bigemina, and Babesia microti. Most tick pools were infected with a single pathogen. However, five pools displayed mixed infections with T. ovis and B. ovis. This study provides the first molecular evidence for the presence of B. microti in ticks in Turkey.

Keywords

Babesia RLB Theileria Tick 

Notes

Acknowledgments

This work was supported financially by grants (109 O 766) from the Scientific and Technical Research Council of Turkey (TUBITAK) and (45-M-12) Commission of Scientific Research Projects, Karamanoğlu Mehmetbey University. We thank all veterinarians, technicians, and also animal breeders in the region for their kind help during sample collection. We are also grateful to Weidong Gu (Health Statistician, PhD, Centers for Disease Control and Prevention, Atlanta, GA, USA) for MLE-IR program used for estimating infection rates of pooled samples.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Mehmet Fatih Aydin
    • 1
    Email author
  • Munir Aktas
    • 2
  • Nazir Dumanli
    • 2
  1. 1.Research Laboratory, Higher Health SchoolUniversity of Karamanoğlu MehmetbeyKaramanTurkey
  2. 2.Department of Parasitology, Faculty of Veterinary MedicineUniversity of FiratElazigTurkey

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