Dissertation/Thesis Abstract

Quantifying the detection limit of Escherichia coli O157:H7 in bovine and ovine feces using fluorescent activated cell sorting
by Davis, Kristen Marin, M.S., University of California, Davis, 2010, 16; 1477118
Abstract (Summary)

Food borne diseases cause 76 million illness, 325,000 hospitalizations and 5,000 deaths in the United States each year. The CDC has also reported that 73,480 of these cases are caused by Escherichia coli O157:H7 (E. coli O157). This serotype of E. coli has been known to cause life threatening hemorrhagic colitis which sometimes leads to hemolytic uremic syndrome in humans. Mammalian reservoirs for this enteric pathogen include cattle and sheep feces. Recently published methods of isolation and detection offer an accurate and sensitive way to measure the prevalence of E. coli O157 in environmental samples such as feces. The goal of this project is to better understand the detection limit of these methods so that sensitivity of the test can be established. Using Fluorescent Activated Cell Sorting (FACS) procedures we were able to quantify the sensitivity of current methods of isolation and detection. This study demonstrates that the probability of detection of E. coli O157 was 66.6% when 1 cell was present and this probability rose to 90% when 5 cells are present.

Supplemental Files

Some files may require a special program or browser plug-in. More Information

Indexing (document details)
Advisor: Hoar, Bruce
Commitee: Atwill, Robert, Byrne, Barbara
School: University of California, Davis
Department: Comparative Pathology
School Location: United States -- California
Source: MAI 48/06M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Microbiology, Animal Diseases, Veterinary services
Keywords: Bacterial cell sorting, Detection limits, Escherichia coli O157:H7, Facs analysis, Livestock feces
Publication Number: 1477118
ISBN: 9781124026367
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest