Journal
JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
Volume 70, Issue 3, Pages 710-715Publisher
OXFORD UNIV PRESS
DOI: 10.1093/jac/dku450
Keywords
E. coli; PCR; typing; ESBLs
Funding
- Medical Faculty Munster [9817044]
- Federal Ministry of Education and Research (BMBF) as part of the model project Health, Innovative Care and Regional Economy (HICARE), Health Region Baltic Sea Coast [D301KQ1001]
Ask authors/readers for more resources
Objectives: Antibiotic resistance among Escherichia coli is globally an increasing problem in public healthcare. Understanding the spread of plasmid-mediated ESBL genes is of great importance in elucidating their molecular epidemiology. However, differentiation of subtypes and alleles is frequently hampered by the lack of comprehensive diagnostic tools. We therefore developed a novel universal bla(SHV), bla(TEM) and bla(CTX-M) subtyping assay based on PCR and Sanger sequencing that results in large amplicons of >700 bp, enabling differentiation of bla alleles as precisely as possible. Methods: The assay was established using 10 reference strains with known bla genotypes that represent all examined primer groups and 101 uncharacterized ESBL-producing E. coli of clinical and livestock-associated origins from different German regions. All isolates were tested in parallel with established blaSHV, blaTEM and bla(CTX-M) subtyping assays for the respective beta-lactamases and their alleles. Results: The novel assay yielded equal (n = 92) or better (n = 47) subtyping results compared with established subtyping methods and reliably detected all expected enzymes in the reference strains. Overall, the occurring enzymes could be differentiated into groups representing one (n = 9), two (n = 5) or three (n = 4) highly similar alleles. Moreover, ESBL and non-ESBL allelic variants of blaSHV and blaTEM occurring in the same isolate were distinguished reliably. Conclusions: We established a highly discriminatory assay for the subtyping of clinically important ESBL genes that can easily be used in epidemiological analyses.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available