J Vet Sci.  2012 Mar;13(1):15-22. 10.4142/jvs.2012.13.1.15.

Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle from farms in China

Affiliations
  • 1College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China. khhuang@njau.edu.cn
  • 2College of Animal Science and Veterinary Medicine, Qingdao Agricultural University, TsingTao 266109, China.

Abstract

Fecal samples of 2,056 dairy cattle from 14 farms were collected in three geographical regions of China and stained using a modified acid-fast staining technique to identify Cryptosporidium oocysts. A total of 387 (18.82%) positive samples were identified and further analyzed by polymerase chain reaction (PCR) using primers designed to amplify DNA fragments from the small subunit ribosomal RNA. The PCR products were sequenced and the sequences were deposited in the GenBank database under accession numbers EU369377-84 and GU070730-33. Phylogenetic analysis was performed and a distances matrix generated from these sequences confirmed the existence of Cryptosporidium (C.) parvum 'mouse' genotype, C. bovis, C. andersoni, C. hominis, and C. serpentis in cattle. These results represent the first report on the prevalence and genetic identification of Cryptosporidium species, and may contribute to a better understanding of the epidemiology of Cryptosporidium in cattle in China.

Keyword

Cryptosporidium; dairy cattle; modified acid-fast staining; phylogenetic analysis; polymerase chain reaction

MeSH Terms

Animals
Base Sequence
Cattle
Cattle Diseases/epidemiology/*parasitology
Chi-Square Distribution
China/epidemiology
Cryptosporidiosis/epidemiology/parasitology/*veterinary
Cryptosporidium/genetics/*isolation & purification
DNA, Protozoan/chemistry/genetics
Feces/parasitology
Female
Molecular Sequence Data
Phylogeny
Polymerase Chain Reaction/veterinary
Prevalence
RNA, Ribosomal, 18S/chemistry/genetics
Sequence Alignment
Sequence Analysis, DNA

Figure

  • Fig. 1 Percentage of Cryptosporidium-positive cattle in China according to the month of diagnosis.

  • Fig. 2 Percentage of Cryptosporidium-positive cattle according to age.

  • Fig. 3 Phylogenetic relationships among Cryptosporidium species and genotypes according to the neighbor-joining analysis of a fragment from the partial small subunit ribosomal RNA sequence. EU369377-84 and GU070730-33 were the Cryptosporidium isolates from cattle in China. Sequences of other Cryptosporidium species and genotypes were obtained from GenBank.


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