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Genome stability during serial subculturing in hyperepidemic multidrug-resistant Klebsiella pneumoniae and Escherichia coli

肺炎克雷伯菌 大肠杆菌 生物 质粒 基因组 微生物学 麦康基琼脂 全基因组测序 多重耐药 背景(考古学) 遗传学 基因 抗药性 古生物学
作者
Aline Moser,Edgar I. Campos-Madueno,Vincent Perreten,Andrea Endimiani
出处
期刊:Journal of global antimicrobial resistance [Elsevier BV]
卷期号:31: 152-161 被引量:1
标识
DOI:10.1016/j.jgar.2022.08.014
摘要

Core-genome single nucleotide variant (cgSNV) analysis represents a powerful tool for epidemiological investigations of multidrug-resistant (MDR) bacteria. However, cgSNV thresholds to confirm whether isolates are the same clone are not formally defined.We implemented hybrid whole-genome sequencing to study the genomic changes of four MDR isolates belonging to hyperepidemic sequence types (STs) during 20 propagation steps (T20) on MacConkey and CHROMID(R) ESBL plates. The following strains were analyzed: Klebsiella pneumoniae AE-2247421 (OXA-48/NDM-1-producing, ST101), K. pneumoniae MCL-2017-2 (CTX-M-15-producing, ST307), Escherichia coli Ec-042 (OXA-181-producing, ST410), and E. coli Ec-050 (NDM-5-producing, ST167). The genome assembly at T5 and T20 was compared to that at time point zero (T0) and to two reference genomes.At T20, AE-2247421 lost the IncL blaOXA-48-carrying plasmid when grown on CHROMID(R) ESBL plates, while a large fragment encompassing blaNDM-1 was lost from its IncC plasmid when grown on both plates. In contrast, no structural changes were noted for the other three strains. Regarding the cgSNVs, the following results were obtained at T5 and T20 (ranges considering the different agar plates and reference genomes): AE-2247421 (1-8 and 2-12 cgSNVs), MCL-2017-2 (both 1-2 cgSNVs), Ec-042 (both 0 cgSNVs), and Ec-050 (0-6 and 0-9 cgSNVs).We showed that structural changes and accumulation of cgSNVs can occur in few propagation steps under laboratory conditions. These changes might also arise in the clinical context in a short time, especially under antibiotics treatment. This phenomenon should be carefully considered because it might affect the final interpretation of epidemiological genomic analyses.

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