Biomarker- and similarity coefficient-based approaches to bacterial mixture characterization using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS)

MALDI-TOF MS profiling has been shown to be a rapid and reliable method to characterize pure cultures of bacteria. Currently, there is keen interest in using this technique to identify bacteria in mixtures. Promising results have been reported with two- or three-isolate model systems using biomarker...

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Bibliographic Details
Published in:Scientific reports 2015-11, Vol.5 (1), p.15834-15834, Article 15834
Main Authors: Zhang, Lin, Smart, Sonja, Sandrin, Todd R
Format: Article
Language:English
Subjects:
631/326/107
631/326/171
631/326/41/2537
639/638/11/296
Bacteria
Bacteria - metabolism
Biomarkers
Biomarkers - chemistry
Biomarkers - metabolism
Desorption
Humanities and Social Sciences
Ionization
Ions
Lasers
Mass spectrometry
Mass spectroscopy
multidisciplinary
Science
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
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Summary:MALDI-TOF MS profiling has been shown to be a rapid and reliable method to characterize pure cultures of bacteria. Currently, there is keen interest in using this technique to identify bacteria in mixtures. Promising results have been reported with two- or three-isolate model systems using biomarker-based approaches. In this work, we applied MALDI-TOF MS-based methods to a more complex model mixture containing six bacteria. We employed: 1) a biomarker-based approach that has previously been shown to be useful in identification of individual bacteria in pure cultures and simple mixtures and 2) a similarity coefficient-based approach that is routinely and nearly exclusively applied to identification of individual bacteria in pure cultures. Both strategies were developed and evaluated using blind-coded mixtures. With regard to the biomarker-based approach, results showed that most peaks in mixture spectra could be assigned to those found in spectra of each component bacterium; however, peaks shared by two isolates as well as peaks that could not be assigned to any individual component isolate were observed. For two-isolate blind-coded samples, bacteria were correctly identified using both similarity coefficient- and biomarker-based strategies, while for blind-coded samples containing more than two isolates, bacteria were more effectively identified using a biomarker-based strategy.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep15834