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Evaluation of Animal Genetic and Physiological Factors That Affect the Prevalence of Escherichia coli O157 in Cattle

Overview of attention for article published in PLOS ONE, February 2013
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Title
Evaluation of Animal Genetic and Physiological Factors That Affect the Prevalence of Escherichia coli O157 in Cattle
Published in
PLOS ONE, February 2013
DOI 10.1371/journal.pone.0055728
Pubmed ID
Authors

Soo Jin Jeon, Mauricio Elzo, Nicolas DiLorenzo, G. Cliff Lamb, Kwang Cheol Jeong

Abstract

Controlling the prevalence of Escherichia coli O157 in cattle at the pre-harvest level is critical to reduce outbreaks of this pathogen in humans. Multilayers of factors including the environmental and bacterial factors modulate the colonization and persistence of E. coli O157 in cattle that serve as a reservoir of this pathogen. Here, we report animal factors contributing to the prevalence of E. coli O157 in cattle. We observe the lowest number of E. coli O157 in Brahman breed when compared with other crosses in an Angus-Brahman multibreed herd, and bulls excrete more E. coli O157 than steers in the pens where cattle were housed together. The presence of super-shedders, cattle excreting >10(5) CFU/rectal anal swab, increases the concentration of E. coli O157 in the pens; thereby super-shedders enhance transmission of this pathogen among cattle. Molecular subtyping analysis reveal only one subtype of E. coli O157 in the multibreed herd, indicating the variance in the levels of E. coli O157 in cattle is influenced by animal factors. Furthermore, strain tracking after relocation of the cattle to a commercial feedlot reveals farm-to-farm transmission of E. coli O157, likely via super-shedders. Our results reveal high risk factors in the prevalence of E. coli O157 in cattle whereby animal genetic and physiological factors influence whether this pathogen can persist in cattle at high concentration, providing insights to intervene this pathogen at the pre-harvest level.

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Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 26%
Researcher 6 15%
Student > Ph. D. Student 5 13%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Other 8 21%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Biochemistry, Genetics and Molecular Biology 5 13%
Medicine and Dentistry 5 13%
Immunology and Microbiology 4 10%
Veterinary Science and Veterinary Medicine 3 8%
Other 4 10%
Unknown 7 18%