Whole genome sequence analysis; an improved technology that identifies underlying genotypic differences between closely related Listeria monocytogenes strains

ORCID

https://orcid.org/0000-0003-4116-9913

Author Email for Access Request

aidan.coffey@cit.ie

Abstract

As 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.

Disciplines

Biology

DOI

10.1016/j.ifset.2017.07.010

Full Publication Date

December 2017

Publication Details

Innovative Food Science & Emerging Technologies

© 2017 Elsevier Ltd

Publisher

Elsevier

Resource Type

journal article

Access Rights

open access

Alternative Identifier

https://www-sciencedirect-com.cit.idm.oclc.org/science/article/pii/S1466856416305343?via%3Dihub

This document is currently not available here.

Request Access

Share

COinS