Tm-Shift Detection of Dog-Derived Ancylostoma ceylanicum and A. caninum

Author:

Fu Yeqi1,Wang Mingwei1,Yan Xinxin1,Abdullahi Auwalu Yusuf12ORCID,Hang Jianxiong1,Zhang Pan1,Huang Yue1,Liu Yunqiu1,Sun Yongxiang1,Ran Rongkun1,Li Guoqing1ORCID

Affiliation:

1. Guangdong Provincial Zoonosis Prevention and Control Key Laboratory, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510542, China

2. Animal Science Department, Kano University of Science and Technology, Wudil, PMB 3244, Kano 20027, Nigeria

Abstract

To develop a Tm-shift method for detection of dog-derived Ancylostoma ceylanicum and A. caninum, three sets of primers were designed based on three SNPs (ITS71, ITS197, and ITS296) of their internal transcribed spacer 1 (ITS1) sequences. The detection effect of the Tm-shift was assessed through the stability, sensitivity, accuracy test, and clinical detection. The results showed that these three sets of primers could distinguish accurately between A. ceylanicum and A. caninum. The coefficient of variation in their Tm values on the three SNPs was 0.09% and 0.15% (ITS71), 0.18% and 0.14% (ITS197), and 0.13% and 0.07% (ITS296), respectively. The lowest detectable concentration of standard plasmids for A. ceylanicum and A. caninum was 5.33 × 10−6 ng/μL and 5.03 × 10−6 ng/μL. The Tm-shift results of ten DNA samples from the dog-derived hookworms were consistent with their known species. In the clinical detection of 50 fecal samples from stray dogs, the positive rate of hookworm detected by Tm-shift (42%) was significantly higher than that by microscopic examination (34%), and the former can identify the Ancylostoma species. It is concluded that the Tm-shift method is rapid, specific, sensitive, and suitable for the clinical detection and zoonotic risk assessment of the dog-derived hookworm.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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