Cryptosporidiosis outbreak on a dairy farm: Detection of Cryptosporidium parvum as a causative agent in the water source
| Autor: | Karakavuk, M., Can, H., Doskaya, M., Karakavuk, T., Erkunt-Alak, S., Koseoglu, A. E., Gul, A. |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
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| Popis: | Diarrhea caused by parasitic agents is common in neonatal calves and leads to significant economic losses in cattle farms worldwide. Cryptosporidium spp. is one of the most frequently detected parasitic agents causing diarrhea in neonatal calves. The aim of this study was to investigate the presence of Cryptosporidium spp. on a dairy farm which a has major diarrhea problem. Samples were collected from calves, cows, drinking bowls, and two different artesian water sources, as well as from the environment. All fecal samples were investigated using Kinyoun acid-fast stained slides and real-time PCR targeting the Cryptosporidium spp. COWP gene. In addition, species identification was performed by nested PCR targeting the Cryptosporidium spp. COWP gene and sequencing. Cryptosporidium spp. was detected in 11 calves (30.55%; 11/36) by real-time PCR and the cows were negative. Among real-time PCR positive samples, only five were also found positive by microscopy. Moreover, Cryptosporidium spp. was found in one of the two artesian water sources and five environmental samples by real-time PCR. Among these positive samples, eight were sequenced. According to the RFLP pattern, BLAST and, phylogenetic analyses, all sequenced samples were Cryptosporidium parvum. These findings show the importance of C. parvum as a cause of calf diarrhea on dairy farms. Ege University Research Fund [TGA 020-20850] All experiments were performed under the instruc-tions and approval of the Institutional Animal Care and Use Committee (IACUC) of Ege University for animal ethical norms (Permit number: 2019-047) . During the study, permission was obtained from the farm adminis-trative manager for collecting stool samples from calves and cows. This study was financially supported by Ege University Research Fund (Project No: TGA 020-20850) to Muhammet Karakavuk. |
| Databáze: | OpenAIRE |
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