Open Access
Research (Published online: 23-09-2019)
15. Prevalence and species identification of Cryptosporidium spp. in the newborn dairy calves from Muang District, Khon Kaen Province, Thailand
Phennarin Doungmala, Patchara Phuektes, Weerapol Taweenan, Somboon Sangmaneedet and Ornampai Japa
Veterinary World, 12(9): 1454-1459

Phennarin Doungmala: Interdisciplinary Veterinary Science, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Patchara Phuektes: Division of Pathobiology, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Weerapol Taweenan: Division of Pathobiology, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Somboon Sangmaneedet: Division of Pathobiology, Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand.
Ornampai Japa: Department of Microbiology and Parasitology, Faculty of Medical Sciences, Phayao University, Phayao 56000, Thailand.

doi: 10.14202/vetworld.2019.1454-1459

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Article history: Received: 04-06-2019, Accepted: 20-08-2019, Published online: 23-09-2019

Corresponding author: Phennarin Doungmala

E-mail: phennarin.d@gmail.com

Citation: Doungmala P, Phuektes P, Taweenan W, Sangmaneedet S, Japa O (2019) Prevalence and species identification of Cryptosporidium spp. in the newborn dairy calves from Muang District, Khon Kaen Province, Thailand, Veterinary World, 12(9): 1454-1459.
Abstract

Aim: This study aims to determine the prevalence of Cryptosporidium spp. infection and to identify the species of Cryptosporidium spp. in newborn dairy calves between December 2016 and March 2017 in Muang District, Khon Kaen Province, Thailand.

Materials and Methods: A total of 200 fecal samples from newborn dairy calves of the ages 1 day up to 28 days were collected and the presence of Cryptosporidium oocysts was examined microscopically using the modified Kinyoun's acid-fast staining technique. Then, Cryptosporidium species were identified using nested polymerase chain reaction amplification of 18S rRNA gene and sequencing.

Results: The modified Kinyoun's acid-fast staining revealed the presence of Cryptosporidium oocysts in 51% (102/200). Sequence analysis of the 18S rRNA gene identified two species, namely, Cryptosporidium bovis (n=11) and Cryptosporidium ryanae (n=11) and one isolated strain could not be identified.

Conclusion: This study indicated that newborn dairy calves aging up to 4 weeks were highly infected with Cryptosporidium spp., and the infection mostly occurred in diarrheic dairy calves. This is the first report of Cryptosporidium in dairy calves in Khon Kaen Province and the results provide baseline information for further studies and control of Cryptosporidium infection in dairy calves in the study area.

Keywords: Cryptosporidium, Khon Kaen Province, nested polymerase chain reaction, newborn dairy calves, prevalence.