Affiliation:
1. Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove QLD 4059, Australia
Abstract
ABSTRACT
The aim of this study was to identify optimized sets of genotyping targets for the staphylococcal cassette chromosome
mec
(SCC
mec
). We analyzed the gene contents of 46 SCC
mec
variants in order to identify minimal subsets of targets that provide useful resolution. This was achieved by firstly identifying and characterizing each available SCC
mec
element based on the presence or absence of 34 binary targets. This information was used as input for the software “Minimum SNPs,” which identifies the minimum number of targets required to differentiate a set of genotypes up to a predefined Simpson's index of diversity (
D
) value. It was determined that 22 of the 34 targets were required to genotype the 46 SCC
mec
variants to a
D
of 1. The first 6, 9, 12, and 15 targets were found to define 21, 29, 35, and 39 SCC
mec
variants, respectively. The genotypes defined by these marker subsets were largely consistent with the relationships between SCC
mec
variants and the accepted nomenclature. Consistency was made virtually complete by forcing the computer program to include
ccr1
and
ccr5
in the target set. An alternative target set biased towards discriminating abundant SCC
mec
variants was derived by analyzing an input file in which common SCC
mec
variants were repeated, thus ensuring that markers that discriminate abundant variants had a large effect on
D
. Finally, it was determined that
mecA
single nucleotide polymorphisms (SNPs) can increase the overall genotyping resolution, as different
mecA
alleles were found in otherwise identical SCC
mec
variants.
Publisher
American Society for Microbiology
Subject
Infectious Diseases,Pharmacology (medical),Pharmacology
Cited by
17 articles.
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