Další formáty:
BibTeX
LaTeX
RIS
@article{2371857,
author = {Strakova, Nicol and Michova, Hana and Shagieva, Ekaterina and Ovesná, Petra and Karpíšková, Renata and Demnerova, Katerina},
article_location = {Praha},
article_number = {1},
doi = {http://dx.doi.org/10.1007/s12223-023-01093-5},
keywords = {cgMLST; MLST; mP-BIT; PFGE; Antimicrobial resistance; ResFinder; RGI},
language = {eng},
issn = {0015-5632},
journal = {Folia microbiologica},
title = {Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance},
url = {https://link.springer.com/article/10.1007/s12223-023-01093-5},
volume = {69},
year = {2024}
}
TY - JOUR
ID - 2371857
AU - Strakova, Nicol - Michova, Hana - Shagieva, Ekaterina - Ovesná, Petra - Karpíšková, Renata - Demnerova, Katerina
PY - 2024
TI - Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance
JF - Folia microbiologica
VL - 69
IS - 1
SP - 207-219
EP - 207-219
PB - Mikrobiologický ústav Praha AV ČR
SN - 00155632
KW - cgMLST
KW - MLST
KW - mP-BIT
KW - PFGE
KW - Antimicrobial resistance
KW - ResFinder
KW - RGI
UR - https://link.springer.com/article/10.1007/s12223-023-01093-5
N2 - Although Campylobacter jejuni is the pathogen responsible for the most common foodborne illness, tracing of the infection source remains challenging due to its highly variable genome. Therefore, one of the aim of the study was to compare three genotyping methods (MLST, PFGE, and mP-BIT) to determine the most effective genotyping tool. C. jejuni strains were divided into 4 clusters based on strain similarity in the cgMLST dendrogram. Subsequently, the dendrograms of the 3 tested methods were compared to determine the accuracy of each method compared to the reference cgMLST method. Moreover, a cost-benefit analysis has showed that MLST had the highest inverse discrimination index (97%) and required less workflow, time, fewer consumables, and low bacterial sample quantity. PFGE was shown to be obsolete both because of its low discriminatory power and the complexity of the procedure. Similarly, mP-BIT showed low separation results, which was compensated by its high availability. Therefore, our data showed that MLST is the optimal tool for genotyping C. jejuni. Another aim was to compare the antimicrobial resistance to ciprofloxacin, erythromycin, and tetracycline in C. jejuni strains isolated from human, water, air, food, and animal samples by two gene sequence-based prediction methods and to compare them with the actual susceptibility of C. jejuni strains using the disc diffusion method. Both tools, ResFinder and RGI, synchronously predict the antimicrobial susceptibility of C. jejuni and either can be used.
ER -
STRAKOVA, Nicol, Hana MICHOVA, Ekaterina SHAGIEVA, Petra OVESNÁ, Renata KARPÍŠKOVÁ a Katerina DEMNEROVA. Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance. \textit{Folia microbiologica}. Praha: Mikrobiologický ústav Praha AV ČR, 2024, roč.~69, č.~1, s.~207-219. ISSN~0015-5632. Dostupné z: https://dx.doi.org/10.1007/s12223-023-01093-5.
|
