Loading…

Rapid and robust analytical protocol for E. coli STEC bacteria subspecies differentiation using whole cell MALDI mass spectrometry

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 m...

Full description

Saved in:
Bibliographic Details
Published in:Talanta (Oxford) 2018-05, Vol.182, p.164-170
Main Authors: Mclean, Kevin, Palarea-Albaladejo, Javier, Currie, Carol G., Imrie, Lisa H.J., Manson, Erin D.T., Fraser-Pitt, Douglas, Wright, Frank, Alexander, Colin J., Pollock, Kevin G.J., Allison, Lesley, Hanson, Mary, Smith, David G.E.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. [Display omitted] •Simplified preparative protocol reducing sample handling steps under containment.•Pre-processing steps to filter low quality and outlying mass spectra automatically.•Informative grouping structure of biologically relevant clusters distinguished.•Defining MS features (biomarkers) for sub-species determination and identification.•E. coli O157:H7 readily distinguished from other STEC serotypes and O157SF strains.
ISSN:0039-9140
1873-3573
DOI:10.1016/j.talanta.2018.01.055