Literature DB >> 17287086

Prevalence of Cryptosporidium species and genotypes in mature dairy cattle on farms in eastern United States compared with younger cattle from the same locations.

Ronald Fayer1, Monica Santin, James M Trout.   

Abstract

Feces collected from 541 milking cows on two dairy farms each in Vermont, New York, Pennsylvania, Maryland, Virginia, North Carolina, and Florida were examined for the presence of Cryptosporidium oocysts. Oocysts were concentrated from 15 g of feces from each cow and DNA was extracted. A two-step nested PCR protocol was used to amplify an 830 base pair fragment of the SSUrRNA gene. PCR-positive products were purified and sequenced. PCR-positive findings were obtained from cows in all seven states and from 11 of 14 farms. Cryptosporidium parvum, Cryptosporidium bovis, and Cryptosporidium andersoni were found on 2, 6, and 8 farms, and infected 0.4, 1.7, and 3.7% of the 541 cows, respectively. The overall lower prevalence of Cryptosporidium in these cows was very highly significant (p< or =0.0001) compared with younger cattle and the relative prevalence of each species of Cryptosporidium also differed when compared with younger cattle previously examined on most of these same farms. The very low level of infection with C. parvum, the major species pathogenic to both cattle and humans, suggests that mature dairy cattle are a relatively low risk source of infection for humans.

Entities:  

Mesh:

Year:  2007        PMID: 17287086     DOI: 10.1016/j.vetpar.2006.12.009

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


  45 in total

1.  Development of an immunomagnetic bead separation-coupled quantitative PCR method for rapid and sensitive detection of Cryptosporidium parvum oocysts in calf feces.

Authors:  Shanshan Gao; Min Zhang; Said Amer; Jing Luo; Chengmin Wang; Shaoqiang Wu; Baohua Zhao; Hongxuan He
Journal:  Parasitol Res       Date:  2014-04-01       Impact factor: 2.289

2.  Age-stratified Bayesian analysis to estimate sensitivity and specificity of four diagnostic tests for detection of Cryptosporidium oocysts in neonatal calves.

Authors:  Valerie De Waele; Marco Berzano; Dirk Berkvens; Niko Speybroeck; Colm Lowery; Grace M Mulcahy; Thomas M Murphy
Journal:  J Clin Microbiol       Date:  2010-11-03       Impact factor: 5.948

3.  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

4.  Development of a multilocus sequence tool for typing Cryptosporidium muris and Cryptosporidium andersoni.

Authors:  Yaoyu Feng; Wenli Yang; Una Ryan; Longxian Zhang; Martin Kvác; Bretislav Koudela; David Modry; Na Li; Ronald Fayer; Lihua Xiao
Journal:  J Clin Microbiol       Date:  2010-10-27       Impact factor: 5.948

5.  Multilocus fragment typing and genetic structure of Cryptosporidium parvum Isolates from diarrheic preweaned calves in Spain.

Authors:  Joaquín Quílez; Claudia Vergara-Castiblanco; Luis Monteagudo; Emilio Del Cacho; Caridad Sánchez-Acedo
Journal:  Appl Environ Microbiol       Date:  2011-09-09       Impact factor: 4.792

6.  Prevalence and multilocus genotyping of Cryptosporidium spp. in cattle in Jiangxi Province, southeastern China.

Authors:  Sen Li; Yang Zou; Pei Wang; Ming-Ren Qu; Wen-Bin Zheng; Ping Wang; Xiao-Qing Chen; Xing-Quan Zhu
Journal:  Parasitol Res       Date:  2021-02-22       Impact factor: 2.289

7.  Factors influencing on prevalence of Cryptosporidium infection in south Indian dairy calves.

Authors:  R Venu; B R Latha; S Abdul Basith; C Sreekumar; G Dhinakar Raj; M Raman
Journal:  J Parasit Dis       Date:  2012-08-02

8.  The first detection of Cryptosporidium deer-like genotype in cattle in Japan.

Authors:  Said Amer; Hajime Honma; Makoto Ikarashi; Ryu Oishi; Mikiko Endo; Kenichi Otawa; Yutaka Nakai
Journal:  Parasitol Res       Date:  2008-11-07       Impact factor: 2.289

9.  Prevalence and distribution of Cryptosporidium spp. in dairy cattle in Heilongjiang Province, China.

Authors:  Aiqin Liu; Rongjun Wang; Yihong Li; Longxian Zhang; Jing Shu; Weizhe Zhang; Yaoyu Feng; Lihua Xiao; Hong Ling
Journal:  Parasitol Res       Date:  2009-05-08       Impact factor: 2.289

10.  Occurrence of Cryptosporidium parvum and Giardia duodenalis in healthy adult domestic ruminants.

Authors:  José Antonio Castro-Hermida; André Almeida; Marta González-Warleta; José M Correia da Costa; Carlos Rumbo-Lorenzo; Mercedes Mezo
Journal:  Parasitol Res       Date:  2007-06-15       Impact factor: 2.289

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.