Abstract
Understanding transmission pathways of important opportunistic, drug-resistant pathogens, such as extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli, is essential to implementing targeted prevention strategies to interrupt transmission and reduce the number of infections. To link transmission of ESBL-producing E. coli (ESBL-EC) between two sources, single-nucleotide resolution of E. coli strains, as well as E. coli diversity within and between samples, is required. However, the microbiological methods to best track these pathogens are unclear. Here, we compared different steps in the microbiological workflow to determine the impact different pre-enrichment broths, pre-enrichment incubation times, selection in pre-enrichment, selective plating, and DNA extraction methods had on recovering ESBL-EC from human stool samples, with the aim to acquire high-quality DNA for sequencing and genomic epidemiology. We demonstrate that using a 4-h pre-enrichment in Buffered Peptone Water, plating on cefotaxime-supplemented MacConkey agar and extracting DNA using Lucigen MasterPure DNA Purification kit improves the recovery of ESBL-EC from human stool and produced high-quality DNA for whole-genome sequencing. We conclude that our optimized workflow can be applied for single-nucleotide variant analysis of an ESBL-EC from stool.
| Original language | English |
|---|---|
| Pages (from-to) | e01058-24 |
| Journal | Microbiology spectrum |
| Volume | 13 |
| Issue number | 1 |
| Early online date | 22 Nov 2024 |
| DOIs | |
| Publication status | Published - 1 Jan 2025 |
Keywords
- antimicrobial resistance
- DNA extraction
- microbiological methods
- molecular epidemiology
- surveillance
- transmission
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Dive into the research topics of 'Optimized methods for the targeted surveillance of extended-spectrum beta-lactamase-producing Escherichia coli in human stool'. Together they form a unique fingerprint.Student theses
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Bias in the laboratory detection of ESBL-producing Escherichia coli and the consequences for disease transmission modelling
Gallichan, S. (Author), Graf, F. (Supervisor), Lewis, J. (Supervisor), Heinz, E. (Supervisor) & Feasey, N. (Supervisor), 2024Student thesis: Doctoral thesis
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