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dc.contributor.advisorAllen, Robert W.
dc.contributor.authorKunz, Stephanie Ann
dc.date.accessioned2015-06-17T20:06:39Z
dc.date.available2015-06-17T20:06:39Z
dc.date.issued2013-12-01
dc.identifier.urihttps://hdl.handle.net/11244/14947
dc.description.abstractFoodborne disease causes illness and death in people around the world and costs nations millions of dollars and many lives. Currently in US, pulsed field gel electrophoresis (PFGE) is used to monitor and track foodborne outbreaks. However, it lacks the discriminatory power to identify two different sources of the same strain of Salmonella enterica. This study evaluated the discrimination, reproducibility, and accuracy of an alternative method, amplified fragment length polymorphism (AFLP), in conjunction with a simple electropherogram coding system. Comparing the codes prepared in triplicate of six clinical samples of S. enterica from the Oklahoma Department of Health to each other results were less reproducible and discriminatory than previous AFLP studies done on organisms in the Serratia and Pseuodomonas genera. When codes prepared in lab were compared to codes prepared in silico as a measure of accuracy, the codes were only 12-23% similar. Because of the low accuracy, reproducibility, and discrimination of AFLP when applied to S. enterica, AFLP in conjunction with the AFLP haplotype system are not suitable for tracking foodborne outbreaks of salmonellosis.
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dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleEvaluation of Amplified Fragment Length Polymorphism (Aflp) Analysis as a Method for Tracking Salmonella Enterica in a Foodborne Outbreak
dc.typetext
dc.contributor.committeeMemberChamplin, Franklin R.
dc.contributor.committeeMemberGlass, R. Thomas
osu.filenameKunz_okstate_0664M_13031.pdf
osu.accesstypeOpen Access
dc.description.departmentForensic Sciences
dc.type.genreThesis
dc.subject.keywordsaflp
dc.subject.keywordscode
dc.subject.keywordsfoodborne
dc.subject.keywordshaplotype
dc.subject.keywordsoutbreak
dc.subject.keywordssalmonella


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