The presence of Giardia intestinalis in donkeys, Equus asinus, in China

Parasit Vectors. 2017 Jan 3;10(1):3. doi: 10.1186/s13071-016-1936-0.

Abstract

Background: Giardia intestinalis is one of the most important zoonotic enteric parasites. As no information regarding prevalence and genotype of G. intestinalis in donkeys (Equus asinus) in China is available, 181 faecal samples from 48 donkeys from Jilin Province, from 104 from Shandong Province and from 29 from Liaoning Province were examined between May and December 2015.

Findings: Twenty-eight (15.47%) out of 181 donkey samples were tested G. intestinalis-positive by nested amplification of the triosephosphate isomerase (tpi) gene. The prevalence in different regional groups varied from 10.42 to 18.27%. The prevalence in adult and young donkeys was 14.29 and 22.92%, respectively. Otherwise, the prevalence was 11.69% in summer and 18.27% in winter. However, no statistically significant differences were found in relation to region or age group. Sequence analysis of the tpi, glutamate dehydrogenase (gdh) and beta giardin (bg) loci identified 4, 1 and 3 subtypes of assemblage B, respectively. Moreover, four novel multilocus genotypes (MLGs novel-1 to novel-4) were identified in assemblage B.

Conclusions: This first report of G. intestinalis in donkeys in China indicates that further studies of nation-wide molecular epidemiology and geographical distribution of Giardia in donkeys are warranted. Effective strategies should be implemented to control G. intestinalis infection in donkeys, other animals and humans.

Keywords: China; Donkey; Genotyping; Giardia intestinalis; Prevalence.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • China / epidemiology
  • Cluster Analysis
  • Equidae / parasitology*
  • Genotype
  • Giardia lamblia / classification
  • Giardia lamblia / genetics
  • Giardia lamblia / isolation & purification*
  • Giardiasis / epidemiology
  • Giardiasis / parasitology
  • Giardiasis / veterinary*
  • Molecular Epidemiology
  • Polymerase Chain Reaction
  • Seasons
  • Sequence Analysis, DNA