Abstract
Whole cell MALDI is regularly used for the identification of bacteria to species level in clinical Microbiology laboratories. However, there remains a need to rapidly characterize and differentiate isolates below the species level to support outbreak management. We describe the implementation of a modified preparative approach for MALDI-MS combined with a custom analytical computational pipeline as a rapid procedure for subtyping Shigatoxigenic E. coli (STEC) and accurately identifying strain-specifying biomarkers. The technique was able to differentiate E. coli O157:H7 from other STEC. Within O157 serotype O157:H7 isolates were readily distinguishable from Sorbitol Fermenting O157 isolates. Overall, nine homogeneous groups of isolates were distinguished, each exhibiting distinct profiles of defining mass spectra features. This offers a robust analytical tool useable in reference/diagnostic public health scenarios.
Original language | English |
---|---|
Pages (from-to) | 164-170 |
Number of pages | 7 |
Journal | Talanta |
Volume | 182 |
Early online date | 20 Feb 2018 |
DOIs | |
Publication status | Published - 15 May 2018 |
Keywords
- Escherichia coli
- MALDI-MS
- Mass spectrometry
- Shigatoxigenic E. coli
- Spectral processing
- STEC
ASJC Scopus subject areas
- General Chemistry