Skip to main content
hyi
Banner
banner
bn

Direct comparison of four bacterial / microbial source tracking methods and use of composite data sets

Four bacterial source tracking (BST) methods, enterobacterial   repetitive intergenic consensus sequence polymerase chain reaction   (ERIC-PCR), automated ribotyping using HindIII, Kirby-Bauer   antibiotic resistance analysis (KBARA) and pulsed-field gel   electrophoresis (PFGE) were directly compared using the same   collection of Escherichia coli isolates. The data sets from each BST  method and from composite methods were compared for library accuracy   and their ability to identify water isolates.  This is one of the first comprehensive comparisons using composite   data from several BST methods. While the four-method approach   provided the most desirable BST results, the use of two-method  composite data sets may yield comparable BST results while providing  for cost, labour and time savings.    Conclusions:   The use of BST composite data sets may be more beneficial than  the use of single methods.    (microbial source tracking); (MST); (bacterial source tracking);   (BST)

Status
In progress
Type
Project
Start Date
End Date
Scope of Study
Field Investigation
Laboratory Investigation
Resource Being Monitored
Emission / Release / Discharge / Waste Management
Human Health

The Great Lakes - St. Lawrence Research Inventory is an
interactive, Internet-based, searchable database created as a tool to collect and disseminate
up-to-date information about research projects in the
Great Lakes - St. Lawrence Region.