Prevalence and species identification of Cryptosporidium spp. in the newborn dairy calves from Muang District, Khon Kaen Province, Thailand

Doungmala, Phennarin; Phuektes, Patchara; Taweenan, Weerapol; Sangmaneedet, Somboon; Japa, Ornampai

doi:10.14202/vetworld.2019.1454-1459

Cited by 7 publications

(7 citation statements)

References 35 publications

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“…Only C. bovis and C. ryanae were detected in this study. This finding is consistent with a previous report showing that C. bovis and C. ryanae were mainly found in dairy calves in Khon Kaen, whereas C. andersoni and C. parvum were not detected by nested PCR [ 6 ]. However, there is no agreement with another previous study which revealed that C. parvum was reported in dairy cattle in western Thailand by PCR-RFLP [ 13 ].…”

Section: Discussionsupporting

confidence: 93%

“…was 13.51% in cattle aged 1 week–7 years. The prevalence in the present study was lower than that in a previous report (21%) that focused on calves aged only 1–28 days in one district of Khon Kaen province [ 6 ]. However, the prevalence in the present study was close to that of another previous study (15.50%) in Ratchaburi and Kanchanaburi province, Thailand, which studied cattle aged <2 months to more than 4 years [ 13 ].…”

Section: Discussioncontrasting

confidence: 92%

“…The sample size was based on 51% Cryptosporidium spp. infection among dairy calves under 28 days of age in Khon Kaen province [ 6 ] and a 6% error allowable. Thus, the minimum sample size was 267 samples.…”

Section: Methodsmentioning

confidence: 99%

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Molecular prevalence and associated risk factors of Cryptosporidium spp. infection in dairy cattle in Khon Kaen, Thailand

Keomoungkhoun,

Arjentinia,

Sangmaneedet

et al. 2024

Vet World

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Background and Aim: Cryptosporidium spp. are important parasites in the small intestines of humans and animals, particularly cattle. The aim of this study was to estimate the molecular prevalence and associated risk factors of Cryptosporidium infection in dairy cattle in five districts of Khon Kaen province, Thailand, and to identify Cryptosporidium spp. Materials and Methods: From July 2020 to October 2021, 296 fecal samples were collected from three groups of dairy cattle: Calves aged <3 months, calves aged 3 months–1 year, and calves aged >1 year. Cryptosporidium spp. were detected by polymerase chain reaction (PCR) amplifying the 18s RNA gene. Both genus-specific and species-specific primers were used to identify Cryptosporidium confirmed by DNA sequencing. Age, house floor type, and water trough type were evaluated as risk factors. We analyzed all associated risk factor information using the logistic regression test in the Statistical Package for the Social Sciences. Results: PCR results showed that 40 (13.51%) out of 296 samples were positive for Cryptosporidium spp., including Cryptosporidium bovis (57.50%) and Cryptosporidium ryanae (2.50%). There was a significant association between Cryptosporidium incidence, cattle age, and house floor type (p = 0.05). National Center for Biotechnology Information Basic Local Alignment Search Tool displayed 99.48%–100% nucleotide similarity of each Cryptosporidium spp. isolate with references recorded on GenBank. Conclusion: C. bovis and C. ryanae are commonly found in dairy cattle, especially calves, in Khon Kaen, Thailand, and the incidence was associated with age and house floor type. A molecular technique may be influential for species identification. The results of the present study would provide useful information for veterinarians and animal owners to understand better Cryptosporidium spp. and how to manage farms properly. Keywords: bovine cryptosporidiosis, Cryptosporidium, dairy cattle, molecular prevalence.

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Section: Discussionsupporting

confidence: 93%

Section: Discussioncontrasting

confidence: 92%

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Molecular prevalence and associated risk factors of Cryptosporidium spp. infection in dairy cattle in Khon Kaen, Thailand

Keomoungkhoun,

Arjentinia,

Sangmaneedet

et al. 2024

Vet World

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“…Another study conducted in Nigeria reported that the prevalence of Cryptosporidium was found to be 23.4% (95/406), with an infection rate of 27.4%, 28.1% and 19.9% in cattle less than 6 months, 7-12 months and over 12 months old respectively, using the Kinyoun-acid fast stain method (Ayinmode and Fagbemi 2010). Also, in Thailand, the prevalence of Cryptosporidium oocysts was determined as 51% (102/200) using the Kinyoun--acid fast stain method (Doungmala et al 2019). In addition to these studies, in India, the prevalence of Cryptosporidium spp.…”

Section: Discussionmentioning

confidence: 99%

Polish Journal of Veterinary Sciences

Karakavuk

Can

Döşkaya

et al. 2021

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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.

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“…The most frequently used routine techniques for examining stained slides to identify Cryptosporidium spp. are the modified Ziehl–Neelsen ( 54 , 55 ), modified Kinyoun ( 56 , 57 ), and methylene blue safranin ( 58 , 59 ) stains. Additionally, the negative coloring observed with the malachite green technique ( 53 , 60 ) can be used.…”

Section: Diagnostic Methodsmentioning

confidence: 99%

Cryptosporidiosis and Giardiasis in Buffaloes (Bubalus bubalis)

et al. 2020

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Cryptosporidium spp. and Giardia duodenalis infect the gastrointestinal tracts of animals and humans. Both parasite groups are distributed worldwide and cause significant economic losses in animal productivity. Infected hosts presenting with and without clinical manifestations can eliminate infective forms of these protozoa, which are particularly important to One Health. Compared to the published research on cattle, relatively few studies have examined the epidemiology of cryptosporidiosis and giardiasis in buffaloes. This short review describes the global occurrence of Cryptosporidium spp. and G. duodenalis in buffaloes, including the molecular techniques employed for the identification of species/assemblages and genotypes of these protozoa. Genetic analyses of isolates of G. duodenalis and Cryptosporidium spp. from various sources (environmental, animal, and human) have been performed to investigate their epidemiology. In buffaloes, the species Cryptosporidium parvum, Cryptosporidium ryanae, Cryptosporidium bovis , and Cryptosporidium suis -like have been characterized, as well as assemblages A and E of G. duodenalis . We demonstrate that buffaloes can be infected by species of Cryptosporidium spp. and G. duodenalis assemblages with zoonotic potential. Epidemiological studies that utilize molecular biology techniques represent an important resource for efforts to control and prevent the spread of these protozoans.

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Prevalence and species identification of Cryptosporidium spp. in the newborn dairy calves from Muang District, Khon Kaen Province, Thailand

Cited by 7 publications

References 35 publications

Molecular prevalence and associated risk factors of Cryptosporidium spp. infection in dairy cattle in Khon Kaen, Thailand

Molecular prevalence and associated risk factors of Cryptosporidium spp. infection in dairy cattle in Khon Kaen, Thailand

Polish Journal of Veterinary Sciences

Cryptosporidiosis and Giardiasis in Buffaloes (Bubalus bubalis)

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