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.Základní údaje
Originální název
Application of mini-MLST and whole genome sequencing in low diversity hospital extended-spectrum beta-lactamase producing Klebsiella pneumoniae population
Autoři
BEZDÍČEK, Matěj (203 Česká republika, domácí), Marketa NYKRYNOVA (203 Česká republika), Kristina PLEVOVÁ (203 Česká republika), Eva BRHELOVÁ (203 Česká republika, domácí), Iva KOCMANOVA (203 Česká republika), Karel SEDLAR (203 Česká republika), Zdeněk RÁČIL (203 Česká republika, domácí), Jiří MAYER (203 Česká republika, domácí) a Martina LENGEROVÁ (203 Česká republika, garant, domácí)
Vydání
Plos one, San Francisco, Public Library of Science, 2019, 1932-6203
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30302 Epidemiology
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.740
Kód RIV
RIV/00216224:14110/19:00110968
Organizační jednotka
Lékařská fakulta
UT WoS
000485009500047
Klíčová slova anglicky
genome sequencing; pneumoniae population; mini-MLST
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 26. 11. 2019 13:40, Mgr. Tereza Miškechová
Anotace
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.
Návaznosti
MUNI/A/1105/2018, interní kód MU |
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