Publications

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detection of cryptosporidium muris type oocysts from beef cattle in a farm and from domestic and wild animals in and around the farm.cryptosporidium muris type oocysts were detected from 21 of 516 beef cattle in a farm. then we surveyed cryptosporidium oocysts in 348 beef and dairy cattle, 500 pigs, 101 dogs, 38 wild animals and 11 zoo-kept animals in and around the farm. oocysts were detected from only 2 of 25 japanese field mice, apodemus speciosus in the same farm. gene analysis suggested that the oocysts were different from the c. muris type bovine isolate.200415353852
prevalence of cryptosporidium species in intensively farmed pigs in ireland.natural cryptosporidium infections in pigs are widespread but generally apathogenic. this study was undertaken to determine the prevalence of zoonotic cryptosporidium spp. in piggeries in ireland, where the drinking water supply is particularly vulnerable to contamination with zoonotic species. overall, infections were detected in 39 out of 342 animals (11.4%), with highest infection rates among weaners (15%) and sows (13.3%). twenty-nine positive samples were genotyped based on ssu rrna sequenc ...200717565758
concentrations, viability, and distribution of cryptosporidium genotypes in lagoons of swine facilities in the southern piedmont and in coastal plain watersheds of georgia.waste lagoons of swine operations are a source of cryptosporidium oocysts. few studies, however, have reported on oocyst concentrations in swine waste lagoons; none have reported on oocyst viability status, nor has there been a systematic assessment of species/genotype distributions across different types of swine facilities. ten swine waste lagoons associated with farrowing, nursery, finishing, and gestation operations were each sampled once a month for a year. oocysts were extracted from tripl ...201020639363
detection and differentiation of coccidian oocysts by real-time pcr and melting curve analysis.abstract rapid and reliable detection and identification of coccidian oocysts are essential for animal health and food-borne disease outbreak investigations. traditional microscopy and morphological techniques can identify large and unique oocysts, but are often subjective and require parasitological expertise. the objective of this study was to develop a real-time quantitative pcr (qpcr) assay with melting curve analysis (mca) to detect, differentiate, and identify dna from coccidian species of ...201121506835
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