Rapid monitoring of vancomycin-resistant Enterococcus faecium in hospital departments by repetitive element palindromic polymerase chain reaction

2018 ◽  
Vol 99 (2) ◽  
pp. 208-217 ◽  
Author(s):  
F. Froeschen ◽  
M. Gajdiss ◽  
J. Uebele ◽  
A. Meilaender ◽  
A. Hoerauf ◽  
...  
2018 ◽  
Vol 24 (4) ◽  
pp. 341-350 ◽  
Author(s):  
Jasmine Kaur ◽  
Anshul Sharma ◽  
Sulhee Lee ◽  
Young-Seo Park

Lactobacillus brevis is a part of a large family of lactic acid bacteria that are present in cheese, sauerkraut, sourdough, silage, cow manure, feces, and the intestinal tract of humans and rats. It finds its use in food fermentation, and so is considered a “generally regarded as safe” organism. L. brevis strains are extensively used as probiotics and hence, there is a need for identifying and characterizing these strains. For identification and discrimination of the bacterial species at the subspecific level, repetitive element-polymerase chain reaction method is a reliable genomic fingerprinting tool. The objective of the present study was to characterize 13 strains of L. brevis isolated from various fermented foods using repetitive element-polymerase chain reaction. Repetitive element-polymerase chain reaction was performed using three primer sets, REP, Enterobacterial Repetitive Intergenic Consensus (ERIC), and (GTG)5, which produced different fingerprinting patterns that enable us to distinguish between the closely related strains. Fingerprinting patterns generated band range in between 150 and 5000 bp with REP, 200–7500 bp with ERIC, and 250–2000 bp with (GTG)5 primers, respectively. The Jaccard’s dissimilarity matrices were used to obtain dendrograms by the unweighted neighbor-joining method using genetic dissimilarities based on repetitive element-polymerase chain reaction fingerprinting data. Repetitive element-polymerase chain reaction proved to be a rapid and easy method that can produce reliable results in L. brevis species.


1996 ◽  
Vol 51 (1-2) ◽  
pp. 169-178 ◽  
Author(s):  
E. Tcherneva ◽  
N. Rijpens ◽  
C. Naydensky ◽  
L. Herman

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