Detailed Information on Publication Record
2024
Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance
STRAKOVA, Nicol, Hana MICHOVA, Ekaterina SHAGIEVA, Petra OVESNÁ, Renata KARPÍŠKOVÁ et. al.Basic information
Original name
Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance
Authors
STRAKOVA, Nicol (203 Czech Republic, guarantor), Hana MICHOVA (203 Czech Republic), Ekaterina SHAGIEVA (203 Czech Republic), Petra OVESNÁ (203 Czech Republic, belonging to the institution), Renata KARPÍŠKOVÁ (203 Czech Republic, belonging to the institution) and Katerina DEMNEROVA (203 Czech Republic)
Edition
Folia microbiologica, Praha, Mikrobiologický ústav Praha AV ČR, 2024, 0015-5632
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30304 Public and environmental health
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.600 in 2022
Organization unit
Faculty of Medicine
UT WoS
001081379200001
Keywords in English
cgMLST; MLST; mP-BIT; PFGE; Antimicrobial resistance; ResFinder; RGI
Tags
International impact, Reviewed
Změněno: 12/7/2024 13:17, Mgr. Tereza Miškechová
Abstract
V originále
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.