Literature DB >> 17107320

Factors associated with shedding of Cryptosporidium parvum versus Cryptosporidium bovis among dairy cattle in New York State.

Simon R Starkey1, Peter E Zeigler, Susan E Wade, Stephanie L Schaaf, Hussni O Mohammed.   

Abstract

OBJECTIVE: To isolate and speciate Cryptosporidium DNA from fecal samples obtained from dairy cattle in New York State and identify factors associated with whether cattle were shedding Cryptosporidium parvum versus Cryptosporidium bovis.
DESIGN: Cross-sectional study. SAMPLE POPULATION: 115 fecal samples positive for DNA coding for the Cryptosporidium 18S rRNA gene from dairy cattle in New York State. PROCEDURES: A PCR assay was used to amplify DNA from fecal samples; amplification products were submitted for bidirectional DNA sequencing. Logistic regression was used to test for associations between various host factors and Cryptosporidium spp.
RESULTS: 70 of the 115 (61%) fecal samples were found to have C parvum DNA, 42 (37%) were determined to have C bovis DNA, and 3 (3%) were found to have C parvum deer-type DNA. The presence of diarrhea at the time of fecal sample collection, oocyst count, and breed were associated with whether cattle were infected with C parvum or C bovis, with animals more likely to be infected with C parvum if they had diarrhea, had a high oocyst count, or were Holsteins. CONCLUSIONS AND CLINICAL RELEVANCE: Results suggest that C parvum and C bovis can be isolated from dairy cattle in New York State and that various factors affect whether cattle infected with Cryptosporidium spp are infected with C parvum or C bovis. Findings also lend credence to the theory that C bovis may be more host adapted and thus less pathogenic to dairy cattle than C parvum.

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Year:  2006        PMID: 17107320     DOI: 10.2460/javma.229.10.1623

Source DB:  PubMed          Journal:  J Am Vet Med Assoc        ISSN: 0003-1488            Impact factor:   1.936


  6 in total

1.  Seasonal variation in the prevalence and molecular epidemiology of Cryptosporidium infection in dairy cattle in the New York City Watershed.

Authors:  Barbara Szonyi; Rebecca Bordonaro; Susan E Wade; Hussni O Mohammed
Journal:  Parasitol Res       Date:  2010-04-16       Impact factor: 2.289

2.  Temporal and spatial dynamics of Cryptosporidium parvum infection on dairy farms in the New York City Watershed: a cluster analysis based on crude and Bayesian risk estimates.

Authors:  Barbara Szonyi; Susan E Wade; Hussni O Mohammed
Journal:  Int J Health Geogr       Date:  2010-06-17       Impact factor: 3.918

3.  Cryptosporidium parvum infection and associated risk factors in dairy calves in western France.

Authors:  A Delafosse; C Chartier; M C Dupuy; M Dumoulin; I Pors; C Paraud
Journal:  Prev Vet Med       Date:  2015-01-15       Impact factor: 2.670

4.  Performance of diagnostic assays used to detect Cryptosporidium oocysts in faecal samples of cattle in Kuwait and genotyping of Cryptosporidium species.

Authors:  Nadra-Elwgoud M I Abdou; Maha S AlAzemi; Mohammed T Al-Sayegh; Qais A H Majeed
Journal:  BMC Vet Res       Date:  2022-09-07       Impact factor: 2.792

5.  Prevalence and Genetic Characterization of Cryptosporidium Species in Dairy Calves in Central Ethiopia.

Authors:  Teklu Wegayehu; Robiul Karim; Manyazewal Anberber; Haileeyesus Adamu; Berhanu Erko; Longxian Zhang; Getachew Tilahun
Journal:  PLoS One       Date:  2016-05-02       Impact factor: 3.240

6.  Cryptosporidiosis in buffalo calves (Bubalus bubalis): prevalence and potential risk factors.

Authors:  Sabry A El-Khodery; Salama A Osman
Journal:  Trop Anim Health Prod       Date:  2007-12-01       Impact factor: 1.559

  6 in total

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