Literature DB >> 22681972

Peri-parturient rise of Cryptosporidium oocysts in cows: new insights provided by duplex quantitative real-time PCR.

Valérie De Waele1, Marco Berzano, Niko Speybroeck, Dirk Berkvens, Grace M Mulcahy, Thomas M Murphy.   

Abstract

In order to clarify if a peri-parturient rise of Cryptosporidium parvum oocysts occurs in cows, faecal samples from 42 cows on two farms were collected. These samples were taken during the pre-parturient, the peri-parturient and the post-parturient periods. Two methods were used to detect the oocysts, a nested-PCR coupled with sequencing and a duplex real-time PCR (qPCR) that quantified Cryptosporidium spp. DNA concentration. The qPCR results were adjusted using a hierarchical Bayesian model taking into account within and between run variation. Generalised Estimating Equation models (GEE) were used to determine if peri-parturient cows were at greater risk of being infected than pre- or post-parturient cows. Fourteen dairy cows exhibited a peri-parturient and post-parturient rise in the excretion of Cryptosporidium spp. oocysts, other than the zoonotic C. parvum. The cows in the suckler beef farm were the only ones infected with the zoonotic species C. parvum at calving. Due to the low concentration of oocysts excreted mainly from species other than C. parvum, it would appear unlikely that cows act as a source of infection for their calves or contribute significantly to environmental contamination.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22681972     DOI: 10.1016/j.vetpar.2012.05.002

Source DB:  PubMed          Journal:  Vet Parasitol        ISSN: 0304-4017            Impact factor:   2.738


  2 in total

1.  Prevalence, species identification and genotyping Cryptosporidium from livestock and deer in a catchment in the Cairngorms with a history of a contaminated public water supply.

Authors:  Beth Wells; Hannah Shaw; Emily Hotchkiss; Janice Gilray; Remedios Ayton; James Green; Frank Katzer; Andrew Wells; Elisabeth Innes
Journal:  Parasit Vectors       Date:  2015-02-04       Impact factor: 3.876

2.  Cryptosporidium Prevalence in Calves and Geese Co-Grazing on Four Livestock Farms Surrounding Two Reservoirs Supplying Public Water to Mainland Orkney, Scotland.

Authors:  Beth Wells; Claire Paton; Ross Bacchetti; Hannah Shaw; William Stewart; James Plowman; Frank Katzer; Elisabeth A Innes
Journal:  Microorganisms       Date:  2019-10-30
  2 in total

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