Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/53333
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Type: Journal article
Title: A comparison of three molecular typing methods for the discrimination of Salmonella enterica serovar Infantis
Author: Ross, I.
Heuzenroeder, M.
Citation: FEMS Immunology and Medical Microbiology, 2008; 53(3):375-384
Publisher: Elsevier Science BV
Issue Date: 2008
ISSN: 0928-8244
1574-695X
Statement of
Responsibility: 
Ian L. Ross & Michael W. Heuzenroeder
Abstract: Seventy-six epidemiologically unrelated Salmonella enterica serovar Infantis (S. Infantis) isolates were typed by pulsed-field gel electrophoresis (PFGE), multiple amplification of phage loci typing (MAPLT) and multiple-locus variable-number tandem-repeat analysis (MLVA). PFGE, using the restriction endonuclease XbaI, generated 23 different profiles for the 76 isolates (DI=0.848). MAPLT was undertaken using a combination of 11 primer sets based on bacteriophage sequences and generated 28 different profiles (DI=0.938). By contrast, MLVA only produced nine profiles (DI=0.668) with 13 different primer sets, including the five primer sets routinely used for S. Typhimurium typing. Reducing the number of MAPLT primer sets to four still provided a diversity index of 0.838. All three typing methods revealed two distinct lineages of S. Infantis, with most isolates demonstrating genetic traits of either lineage but not both. The results demonstrate that MAPLT can potentially provide greater discrimination and separation of S. Infantis isolates than both PFGE and MLVA. Furthermore, MAPLT data can be generated much more rapidly and with reduced labour input than PFGE and without the need for expensive PFGE electrophoresis equipment, nor does it require capillary sequencing of PCR fragments to accurately determine PCR fragment lengths as is the case with MLVA.
Keywords: Salmonella Infantis MAPLT
MLVA
VNTR
PFGE
DOI: 10.1111/j.1574-695X.2008.00435.x
Published version: http://dx.doi.org/10.1111/j.1574-695x.2008.00435.x
Appears in Collections:Aurora harvest 5
Molecular and Biomedical Science publications

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