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Evaluating the Babesia bovis infection of cattle in China with enzyme-linked immunosorbent assay (ELISA)

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Abstract

Babesia bovis is an important pathogen of bovine babesiosis and causes serious constraints on the health and productivity of domestic cattle in the tropical and subtropical areas of the world. Aiming to clarify the prevalence of B. bovis in China, a total of 2,364 cattle serum samples were randomly collected from 45 different areas of 17 provinces in China. Antibodies against B. bovis were tested by enzyme-linked immunosorbent assay (ELISA) using a recombinant C-terminal antigen of B. bovis rhoptry-associated protein-1 (RAP-1) to evaluate the prevalence of B. bovis. The results showed that the parasite was present in all of the investigated 17 provinces. The positive rate was from 6.40 to 47.27%, and the mean rate was 24.92%. These survey data will provide important information for designing control strategies for bovine babesiosis in China.

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Authors and Affiliations

  1. State Key Laboratory of Veterinary Etiological Biology, Key Laboratory of Veterinary Parasitology of Gansu Province, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, No. 1 Xujiaping, Yanchangbu, Lanzhou, Gansu, 730046, P.R. China

    Congshan Yang, Junlong Liu, Anyan Li, Youquan Li, Aihong Liu, Junren Xie, Guangyuan Liu, Hong Yin, Guiquan Guan & Jianxun Luo

  2. Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou, 225009, P.R. China

    Hong Yin & Jianxun Luo

Authors
  1. Congshan Yang
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  2. Junlong Liu
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  3. Anyan Li
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  4. Youquan Li
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  5. Aihong Liu
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  6. Junren Xie
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  7. Guangyuan Liu
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  8. Hong Yin
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  9. Guiquan Guan
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  10. Jianxun Luo
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Correspondence to Guiquan Guan or Jianxun Luo.

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Yang, C., Liu, J., Li, A. et al. Evaluating the Babesia bovis infection of cattle in China with enzyme-linked immunosorbent assay (ELISA). Acta Parasit. 60, 721–726 (2015). https://doi.org/10.1515/ap-2015-0103

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  • DOI: https://doi.org/10.1515/ap-2015-0103

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