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dc.contributor.authorFox, Edward M.
dc.contributor.authorCasey, Aidan
dc.contributor.authorJordan, Kieran
dc.contributor.authorCoffey, Aidan
dc.contributor.authorGahan, Cormac G.M.
dc.contributor.authorMcAuliffe, Olivia
dc.date.accessioned2020-07-02T15:30:50Z
dc.date.available2020-07-02T15:30:50Z
dc.date.issued2017-07-08
dc.identifier.citationFox, E., Casey, A., Jordan, K., Coffey, A., Gahan, C. and McAuliffe, O. Whole genome sequence analysis; an improved technology that identifies underlying genotypic differences between closely related Listeria monocytogenes strains. Innovative Food Science & Emerging Technologies, 2017, 44, 89-96. doi: http://dx.doi.org/10.1016/j.ifset.2017.07.010en_US
dc.identifier.urihttp://hdl.handle.net/11019/2139
dc.descriptionpeer-revieweden_US
dc.description.abstractAs the new technology of whole genome sequencing (WGS) has been shown to have greater discriminatory power in differentiating strains than the much-used pulsed-field gel electrophoresis (PFGE), there is currently a transition from using PFGE to WGS for disease outbreak investigation. Therefore, there is a need for comparison of bacterial isolates using both PFGE and WGS. In this study, two pairs of L. monocytogenes strains with geographically diverse sources of isolation but which had indistinguishable or closely related PFGE profiles, were subjected to WGS analysis. Comparative analysis of their genomes showed that one pair of strains which had closely related PFGE profiles in fact differed significantly from one another in terms of their antibiotic and heavy metal stress resistance determinants, and mobile genetic elements. Therefore, this research demonstrated the ability of WGS analysis to differentiate very closely related strains and that WGS analysis represents the most effective tool available for subtyping L. monocytogenes isolates.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofseriesInnovative Food Science & Emerging Technologies;Vol. 44
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectWhole genome sequence analysisen_US
dc.subjectPFGEen_US
dc.subjectListeria monocytogenesen_US
dc.titleWhole genome sequence analysis; an improved technology that identifies underlying genotypic differences between closely related Listeria monocytogenes strainsen_US
dc.typeArticleen_US
dc.embargo.terms2018-07-08en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.ifset.2017.07.010
refterms.dateFOA2018-07-08T00:00:00Z


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