Strain and phase identification of the U.S. category B agent Coxiella burnetii by matrix assisted laser desorption/ionization time-of-flight mass spectrometry and multivariate pattern recognition |
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Authors: | Pierce Carrie Y Barr John R Woolfitt Adrian R Moura Hercules Shaw Edward I Thompson Herbert A Massung Robert F Fernandez Facundo M |
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Affiliation: | a School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA 30332, United States b Centers for Disease Control and Prevention, National Center for Environmental Health and National Center for Infectious Diseases, Atlanta, GA 30341, United States |
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Abstract: | Accurate bacterial identification is important in diagnosing disease and in microbial forensics. Coxiella burnetii, a highly infective microorganism causative of the human disease Q fever, is now considered a U.S. category B potential bioterrorism agent. We report here an approach for the confirmatory identification of C. burnetii at the strain level which involves the combined use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and supervised pattern recognition via Partial Least Squares-Discriminant Analysis (PLS-DA). C. burnetii isolates investigated in this study included the following prototype strains from different geographical and/or historical origins and with different antigenic properties: Nine Mile I, Australian QD, M44, KAV, PAV, Henzerling, and Ohio. After culture and purification following standard protocols, linear MALDI-TOF mass spectra of pure bacterial cultures were acquired in positive ion mode. Mass spectral data were normalized, baseline-corrected, denoised, binarized and modeled by PLS-DA under crossvalidation conditions. Robustness with respect to uncontrolled variations in the sample preparation and MALDI analysis protocol was assessed by repeating the experiment on five different days spanning a period of 6 months. The method was validated by the prediction of unknown C. burnetii samples in an independent test set with 100% sensitivity and specificity for five out of six strain classes. |
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Keywords: | Microorganism identification Coxiella burnetii Matrix-assisted laser desorption/ionization Time-of-flight mass spectrometry Partial least squares discriminant analysis |
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