Return to search

A comparative genomic framework for the in silico design and assessment of molecular typing methods using whole-genome sequence data with application to Listeria monocytogenes

Although increased genome sequencing e orts have increased our understanding of genomic
variability within many bacterial species, there has been limited application of this knowledge
towards assessing current molecular typing methods and developing novel molecular typing
methods. This thesis reports a novel in silico comparative genomic framework where the
performance of typing methods is assessed on the basis of the discriminatory power of the
method as well as the concordance of the method with a whole-genome phylogeny. Using
this framework, we designed a comparative genomic ngerprinting (CGF) assay for Listeria
monocytogenes through optimized molecular marker selection. In silico validation and assessment
of the CGF assay against two other molecular typing methods for L. monocytogenes (multilocus
sequence typing (MLST) and multiple virulence locus sequence typing (MVLST)) revealed that
the CGF assay had better performance than these typing methods. Hence, optimized molecular
marker selection can be used to produce highly discriminatory assays with high concordance to
whole-genome phylogenies. The framework described in this thesis can be used to assess current
molecular typing methods against whole-genome phylogenies and design the next generation of
high-performance molecular typing methods from whole-genome sequence data. / xiii, 100 leaves : ill. ; 29 cm

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:ALU.w.uleth.ca/dspace#10133/3391
Date January 2013
CreatorsKruczkiewicz, Peter
ContributorsThomas, James, Taboada, Eduardo
PublisherLethbridge, Alta. : University of Lethbridge, Dept. of Biological Sciences, c2013, Arts and Science, Department of Biological Sciences
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Languageen_CA
Detected LanguageEnglish
TypeThesis

Page generated in 0.0021 seconds