Parasites, Hosts and Diseases

The Korea Society for Parasitology and Tropical Medicine (대한기생충학·열대의학회)
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Practical Algorisms for PCR-RFLP-Based Genotyping of Echinococcus granulosus Sensu Lato

  • Kim, Hye-Jin (Department of Parasitology and Tropical Medicine, School of Medicine, Pusan National University) ;
  • Yong, Tae-Soon (Department of Environmental Medical Biology and Institute of Tropical Medicine, Yonsei University College of Medicine) ;
  • Shin, Myeong Heon (Department of Environmental Medical Biology and Institute of Tropical Medicine, Yonsei University College of Medicine) ;
  • Lee, Kyu-Jae (Department of Environmental Medical Biology, Yonsei University Wonju College of Medicine) ;
  • Park, Gab-Man (Department of Environmental Medical Biology and Institute for Clinical and Translational Research, Catholic Kwandong University College of Medicine) ;
  • Suvonkulov, Uktamjon (Isaev Research Institute of Medical Parasitology, Ministry of Health) ;
  • Kovalenko, Dmitriy (Isaev Research Institute of Medical Parasitology, Ministry of Health) ;
  • Yu, Hak Sun (Department of Parasitology and Tropical Medicine, School of Medicine, Pusan National University)
  • Received : 2017.10.18
  • Accepted : 2017.12.20
  • Published : 2017.12.31
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Abstract

Echinococcus granulosus sensu lato (s.l.) is a causative agent of cystic echinococcosis or cystic hydatid disease in humans and domestic and wild animals. The disease is a serious health problem in countries associated with poverty and poor hygiene practices, particularly in livestock raising. We introduced a practical algorism for genotyping the parasite, which may be useful to many developing countries. To evaluate the efficiency of the algorism, we genotyped 3 unknown strains isolated from human patients. We found that unknowns 1 and 3 were included in G1, G2, and G3 genotypes group and unknown 2 was included in G4 genotype (Echinococcus equinus) according to the algorisms. We confirmed these results by sequencing the 3 unknown isolates cox1 and nad1 PCR products. In conclusion, these new algorisms are very fast genotype identification tools that are suitable for evaluating E. granulosus s.l. isolated from livestock or livestock holders, particularly in developing countries.

Keywords

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