Detailed Information on Publication Record
2019
Application of mini-MLST and whole genome sequencing in low diversity hospital extended-spectrum beta-lactamase producing Klebsiella pneumoniae population
BEZDÍČEK, Matěj, Marketa NYKRYNOVA, Kristina PLEVOVÁ, Eva BRHELOVÁ, Iva KOCMANOVA et. al.Basic information
Original name
Application of mini-MLST and whole genome sequencing in low diversity hospital extended-spectrum beta-lactamase producing Klebsiella pneumoniae population
Authors
BEZDÍČEK, Matěj (203 Czech Republic, belonging to the institution), Marketa NYKRYNOVA (203 Czech Republic), Kristina PLEVOVÁ (203 Czech Republic), Eva BRHELOVÁ (203 Czech Republic, belonging to the institution), Iva KOCMANOVA (203 Czech Republic), Karel SEDLAR (203 Czech Republic), Zdeněk RÁČIL (203 Czech Republic, belonging to the institution), Jiří MAYER (203 Czech Republic, belonging to the institution) and Martina LENGEROVÁ (203 Czech Republic, guarantor, belonging to the institution)
Edition
Plos one, San Francisco, Public Library of Science, 2019, 1932-6203
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30302 Epidemiology
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.740
RIV identification code
RIV/00216224:14110/19:00110968
Organization unit
Faculty of Medicine
UT WoS
000485009500047
Keywords in English
genome sequencing; pneumoniae population; mini-MLST
Tags
International impact, Reviewed
Změněno: 26/11/2019 13:40, Mgr. Tereza Miškechová
Abstract
V originále
Studying bacterial population diversity is important to understand healthcare associated infections' epidemiology and has a significant impact on dealing with multidrug resistant bacterial outbreaks. We characterised the extended-spectrum beta-lactamase producing K. pneumoniae (ESBLp KPN) population in our hospital using mini-MLST. Then we used whole genome sequencing (WGS) to compare selected isolates belonging to the most prevalent melting types (MelTs) and the colonization/infection pair isolates collected from one patient to study the ESBLp KPN population's genetic diversity. A total of 922 ESBLp KPN isolates collected between 7/2016 and 5/2018 were divided into 38 MelTs using mini-MLST with only 6 MelTs forming 82.8% of all isolates. For WGS, 14 isolates from the most prominent MelTs collected in the monitored period and 10 isolates belonging to the same MelTs collected in our hospital in 2014 were randomly selected. Resistome, virulome and ST were MelT specific and stable over time. A maximum of 23 SNV per core genome and 58 SNV per core and accessory genome were found. To determine the SNV relatedness cut-off values, 22 isolates representing colonization/infection pair samples obtained from 11 different patients were analysed by WGS with a maximum of 22 SNV in the core genome and 40 SNV in the core and accessory genome within pairs. The mini-MLST showed its potential for real-time epidemiology in clinical practice. However, for outbreak evaluation in a low diversity bacterial population, mini-MLST should be combined with more sensitive methods like WGS. Our findings showed there were only minimal differences within the core and accessory genome in the low diversity hospital population and gene based SNV analysis does not have enough discriminatory power to differentiate isolate relatedness. Thus, intergenic regions and mobile elements should be incorporated into the analysis scheme to increase discriminatory power.
Links
MUNI/A/1105/2018, interní kód MU |
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