2026-09-18T21:49:46.318060700Zhttps://opus.uleth.ca/server/oai/requestoai:opus.uleth.ca:10133/2652018-08-01T21:01:50Zcom_10133_3346com_10133_1com_10133_296col_10133_3347col_10133_298
ULethbridge OPUS Repository
supervisor
Thomas, James E.
supervisor
Selinger, L. Brent
author
Lang, Cassandra C.
author
University of Lethbridge. Faculty of Arts and Science
2007-05-17T14:49:34Z
2007-05-17T14:49:34Z
2005
https://hdl.handle.net/10133/265
Metabolic were used to evaluate Enterococcus as an indicator of faecal pollution. Enterococci were isolated using m-Enterococcus agar and speciated using conventional biochemical tests. Forty percent of the isolates were identified and metabolically characterized by the automated Biolog system. The biochemical test scheme recognized 16 enterococcal species, while Biolog recognized nine. Both methods identified E. faecalis at the greatest frequency. Overall species frequencies varied between the two methods. Biolog was unable to identify 31% of the isolates; 7% of the isolates were unidentified by the biochemical test scheme. Of the identified isolates, metabolic profiling with Biolog achieved speciation with 60 substrates. Unique profiles were obtained for 89% of the isolates. Isolates also demonstrated inter-trial differntial metabolism of substrates. This and the large number of unidentified isolates suggest great diversity among enterococci. Diversity and inter-trial metabolic inconsistencies will complicate use of enterococcal metabolic profiles as a source-tracking tool.
en_US
Enterococcus faecalis
Feces -- Microbiology -- Alberta
Water -- Pollution -- Alberta
Feedlots -- Environmental aspects -- Alberta
Groundwater -- Pollution -- Alberta
Dissertations, Academic
Identification and metabolic characterization of host-specific enterococci for use in source-tracking faecal contamination
Thesis
URL
http://localhost:4000/bitstreams/f94fd78c-6343-4ee3-91a6-d693dd17e83d/download
File
MD5
809f6a3ec6f11d006b311631c73d745f
14201632
application/pdf
MR17404.pdf
URL
http://localhost:4000/bitstreams/afad5d21-9348-4be2-9f3f-336e08e12fad/download
File
MD5
b1acdbde027d058c9efcf984e59a8140
354292
text/plain
MR17404.pdf.txt