-Shift Detection of Dog-Derived and

Overview

Journal Biomed Res Int

Publisher Wiley

Specialties Biomedical Engineering
Biotechnology
General Medicine

Date 2018 Jun 5

PMID 29862291

Citations 2

Authors

Yeqi Fu

Mingwei Wang

Xinxin Yan

Auwalu Yusuf Abdullahi

Jianxiong Hang

Pan Zhang

Yue Huang

Yunqiu Liu

Yongxiang Sun

Rongkun Ran

Guoqing Li

Affiliations

Soon will be listed here.

Abstract

To develop a -shift method for detection of dog-derived and 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 -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 and . The coefficient of variation in their 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 and was 5.33 × 10 ng/L and 5.03 × 10 ng/L. The -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 -shift (42%) was significantly higher than that by microscopic examination (34%), and the former can identify the species. It is concluded that the -shift method is rapid, specific, sensitive, and suitable for the clinical detection and zoonotic risk assessment of the dog-derived hookworm.

Citing Articles

Identification of Genotypes G1 and G3 by SNPs Genotyping Assays.

Bonelli P, Dei Giudici S, Peruzzu A, Mura L, Santucciu C, Maestrale C Pathogens. 2021; 10(2).

PMID: 33530642 PMC: 7910869. DOI: 10.3390/pathogens10020125.

Establishment of a Tm-shift Method for Detection of Cat-Derived Hookworms.

Fu Y, Liu Y, Abuzeid A, Huang Y, Zhou X, He L Korean J Parasitol. 2019; 57(1):9-15.

PMID: 30840793 PMC: 6409220. DOI: 10.3347/kjp.2019.57.1.9.

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