STRAKOVA, Nicol, Hana MICHOVA, Ekaterina SHAGIEVA, Petra OVESNÁ, Renata KARPÍŠKOVÁ and Katerina DEMNEROVA. Genotyping of Campylobacter jejuni and prediction tools of its antimicrobial resistance. Folia microbiologica. Praha: Mikrobiologický ústav Praha AV ČR, 2024, vol. 69, No 1, p. 207-219. ISSN 0015-5632. Available from: https://dx.doi.org/10.1007/s12223-023-01093-5.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30304 Public and environmental health
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.600 in 2022
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1007/s12223-023-01093-5
UT WoS 001081379200001
Keywords in English cgMLST; MLST; mP-BIT; PFGE; Antimicrobial resistance; ResFinder; RGI
Tags 14110525, 14119612, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 12/7/2024 13:17.
Abstract
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.
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