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Kolwijck, E.

Publications and source records attributed to Kolwijck, E..

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Genome-wide analysis in Escherichia coli unravels an unprecedented level of genetic homoplasy associated with cefotaxime resistance.

ABSTRACTCefotaxime (CTX) is a commonly used third-generation cephalosporin (3GC) to treat infections caused by Escherichia coli. Two genetic mechanisms have been associated with 3GC resistance in E. coli. The first is the conjugative transfer of a plasmid harboring antibiotic resistance genes. The second is the introduction of mutations in the promoter region of the ampC β-lactamase gene that cause chromosomal-encoded β-lactamase hyperproduction. A wide variety of promoter mutations related to AmpC hyperproduction have been described. However, their link to a specific 3GC such as CTX resistance has not been reported. Here, we measured CTX MICs in 172 cefoxitin resistant E. coli isolates and performed genome-wide analysis of homoplastic mutations associated with CTX resistance by comparing Illumina whole-genome sequencing data of all isolates to a PacBio tailored-made reference chromosome. We mapped the mutations on the reference chromosome and determined their occurrence in the phylogeny, revealing extreme homoplasy at the −42 position of the ampC promoter. The 24 occurrences of a “T” at the −42 position rather than the wild type “C”, resulted from 18 independent C>T mutations in 5 phylogroups. The −42 C>T mutation was only observed in E. coli lacking a plasmid-encoded ampC gene. The association of the −42 C>T mutation with CTX resistance was confirmed to be significant (FDR < 0.05). To conclude, genome-wide analysis of homoplasy in combination with CTX resistance identifies the −42 C>T mutation of the ampC promotor as significantly associated with CTX resistance and underline the role of recurrent mutations in the spread of antibiotics resistance.Impact Statement In the past decades, the worldwide spread of extended spectrum beta-lactamases (ESBLs) has led to a substantial increase in the prevalence of resistant common pathogens, thereby restricting available treatment options. Although acquired resistance genes, e.g. ESBLs, get most attention, chromosome-encoded resistance mechanisms may play an important role as well. In E. coli chromosome-encoded β-lactam resistance can be caused by alterations in the promoter region of the ampC gene. To improve our understanding of how frequently these alterations occur, a comprehensive interpretation of the evolution of these mutations is essential. This study is the first to apply genome-wide homoplasy analysis to better perceive adaptation of the E. coli genome to antibiotics. Thereby, this study grants insights into how chromosomal-encoded antibiotic resistance evolves and, by combining genome-wide association studies with homoplasy analyses, provides potential strategies for future association studies into the causes of antibiotics resistance.Data summary All data is available under BioProject: PRJNA592140. Raw Illumina sequencing data and metadata of all 171 E. coli isolates used in this study is available from the Sequence Read Archive database under accession no. SAMN15052485 to SAMN15052655. Full reference chromosome of ampC_0069 is available via GenBank accession no. CP046396.1 and NCBI Reference Sequence: NZ_CP046396.1.Competing Interest StatementThe authors have declared no competing interest.Abbreviations3GCthird-generation cephalosporincampCchromosomal-mediated ampCCATcomputerized adaptive testingCTXcefotaximeDNADeoxyribonucleic acidEHECenterohemorrhagic Escherichia ColiESBLextended-spectrum β-lactamasesFOXcefoxitingDNAgenomic DNAMICsminimal inhibitory concentrationsMLSTmultilocus sequence typingpampCplasmid-mediated ampCPGpeptidoglycanqRT-PCRquantitative reverse transciptase polymerase chain reactionSMRTSingle-molecule real-time sequencingSNPsingle-nucleotide polymorphismSTsequence typeUPECuropathogene Escherichia ColiWGSwhole genome sequencingView Full Text

microbiology↗

Surveillance-embedded genomic outbreak resolution of methicillin-susceptible Staphylococcus aureus in a neonatal intensive care unit

BackgroundWe observed an increase in methicillin-susceptible Staphylococcus aureus (MSSA) infections among neonates at a Dutch third level neonatal intensive care unit. Weekly surveillance data of MSSA carriage among neonates and cross-sectional screenings of health care workers (HCWs) were available for outbreak tracing. While traditional typing of MSSA isolates by staphylococcal protein A gene (spa typing) and Multiple-Locus Variable number tandem repeat Analysis (MLVA) suggested that nosocomial transmission had contributed to the infections, here they lacked the resolution to draw solid conclusions.\n\nMethodsMSSA isolates from neonatal infections, carriage surveillance, and HCWs were subjected to whole-genome sequencing and compared by a series of automated tools including de novo assembly, identification and localization of high-quality single nucleotide polymorphisms, and in-depth analysis of subsets of isolates. Outbreaks were defined as isolates that were more closely related than was to be expected from the genetic diversity in background surveillance.\n\nResultsGenomic analysis identified isolates that had been unjustly assigned to clusters based on MLVA typing, while spa typing was concordant but of insufficient resolution. Detailing particular subsets of isolates further improved resolution and although it provided evidence that HCWs were involved in multiple outbreaks, it alleviated heavy concerns about one particular HCW. Genomic clustering of isolates based on deviations from background surveillance matched epidemiological patient linkage. Compared to MLVA typing, the genomic analysis demonstrated more, shorter, and re-assorted nosocomial transmission chains during this outbreak.\n\nConclusionsIn this study the improved resolution and accuracy of genomic outbreak analyses compared to spa typing and MLVA substantially altered the view on outbreaks, along with apposite outbreak measures. Inclusion of the circulating background population has the potential to overcome current issues in genomic outbreak inference.

microbiology↗