Literature DB >> 30912712

Molecular Detection and Genetic Characterization of Toxoplasma gondii from Horses in Three Provinces of China.

Wei-Xin Ren1, Xiao-Xuan Zhang1, Cui-Yu Long1, Quan Zhao2, Tian Cheng3, Jian-Gang Ma4, Peng Xu5, Guangyu Hou6, Hong-Bo Ni1.   

Abstract

Horse meat and milk are an important source of nutrition for many Chinese. Previous studies have shown a fairly high prevalence of Toxoplasma gondii infection in horses. However, there is no data concerning the molecular characterization of T. gondii in horses in China. The present study tested 231 cervical lymph node samples of horses from northern China (97 from Jilin, 54 from Liaoning, and 80 from Xinjiang) for the presence of the T. gondii B1 gene by seminested PCR. The B1-positive samples were genotyped at nine nuclear loci, that is, SAG1, alternative SAG2, SAG3, BTUB, c22-8, GRA6, c29-2, PK1, and an apicoplast locus, using PCR-restriction fragment length polymorphism technique. A total of 14 (6.06%) out of 231 samples were T. gondii positive. The overall prevalence of T. gondii in the horses was 5.15% (5/97) for Jilin Province, 5.55% (3/54) for Liaoning Province, and 7.50% (6/80) for Xinjiang Uygur Autonomous Region. Of the 14 positive samples, only 2 were successfully genotyped at all loci, 5 were successfully genotyped at 5-8 loci, and all typed samples belong to ToxoDB genotype no. 9. To our knowledge, this is the first molecular characterization of the T. gondii isolates from horses in China.

Entities:  

Keywords:  horses northern China; molecular characterization; prevalence

Year:  2019        PMID: 30912712     DOI: 10.1089/vbz.2018.2423

Source DB:  PubMed          Journal:  Vector Borne Zoonotic Dis        ISSN: 1530-3667            Impact factor:   2.133


  1 in total

1.  Molecular occurrence and risk factors for Toxoplasma gondii infection in equids in Jilin, China.

Authors:  Wanfeng Liang; Shaowei Zhao; Nan Wang; Zeyu Tang; Fanglin Zhao; Meng Liu; Weidong Jin; Yinbiao Meng; Lijun Jia
Journal:  Sci Rep       Date:  2022-07-30       Impact factor: 4.996

  1 in total

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