For mass spectrometry-based diagnostics of microorganisms, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is currently routinely used to identify urinary tract pathogens. However, it requires a lengthy culture step for accurate pathogen identification, and is limited by a relatively small number of available species in peptide spectral libraries (≤3329). Here, we propose a method for pathogen identification that overcomes the above limitations, and utilizes the MALDI-TOF/TOF MS instrument. Tandem mass spectra of the analyzed peptides were obtained by chemically activated fragmentation, which allowed mass spectrometry analysis in negative and positive ion modes. Peptide sequences were elucidated de novo, and aligned with the non-redundant National Center for Biotechnology Information Reference Sequence Database (NCBInr). For data analysis, we developed a custom program package that predicted peptide sequences from the negative and positive MS/MS spectra. The main advantage of this method over a conventional MALDI-TOF MS peptide analysis is identification in less than 24 h without a cultivation step. Compared to the limited identification with peptide spectra libraries, the NCBI database derived from genome sequencing currently contains 20,917 bacterial species, and is constantly expanding. This paper presents an accurate method that is used to identify pathogens grown on agar plates, and those isolated directly from urine samples, with high accuracy.

Selective derivatization of peptide N-terminus with 4-formylbenzenesulfonic acid (FBSA) enables chemically activated fragmentation in positive and negative ion modes (ESI+/À) under charge reduction conditions. Overlapped positive and negative tandem mass spectra show b-ions making the assignment of bion series fragments easy and accurate. Methods: We developed an FBSA-peptide microwave-assisted derivatization procedure. Derivatized and nonderivatized bovine serum albumin tryptic peptides and insulin non-tryptic peptide were compared after tandem mass spectrometry (MS/MS) analysis in positive and negative ion modes. A high-quality data set of sulfonated b-ions obtained in negative tandem mass spectra of singly charged FBSApeptides were matched to detected b-ions in positive MS/MS spectra. Moreover, negative spectra signals were converted and matched against y-ions in positive tandem mass spectra to identify complete peptide sequences. Results: The FBSA derivatization procedure produced a significantly improved MS/MS data set (populated by high-intensity signals of b-and y-ions) compared to commonly used N-terminal sulfonation reagents. Undesired side reactions almost do not occur, and the procedure reduces the derivatization time. It was found that b-ion intensities comprise 15% and 13% compared to combined ion intensities generated in positive-and negative ion modes, respectively. High visibility of b-ion series in negative ion mode can be attributed to N-terminal sulfonation that had no negative effect on the production of b-and y-ion series in positive ion mode. Conclusions:The FBSA derivatization and de novo sequencing approach outlined here is a reliable method for accurate peptide sequence assignment. Increased production of b-ions in positive-and negative ion modes greatly improves peak assignment and thus enables accurate sequence reconstruction. Implementation of the named methodology would improve the quality of de novo sequencing data and reduce the number of misinterpreted spectra.Luka Ozdanovac and Lucija Dončevi c are joint first authors.

RATIONALE: Selective derivatization of peptide N-terminus with 4-formyl-benzenesulfonic acid (FBSA) enables chemically activated fragmentation in ESI+/- (positive and negative ion mode) under charge reduction conditions. Overlapped positive and negative tandem mass spectra pinpoint b-ions making the assignment of b-ion series fragments easy and accurate. METHODS: We developed a FBSA-peptide microwave assisted derivatization procedure. Derivatized and non-derivatized bovine serum albumin tryptic peptides and insulin non-tryptic peptide were compared after MS/MS analysis in positive and negative ion mode. High-quality dataset of sulfonated b-ions obtained in negative tandem mass spectra of singly charged FBSA-peptides were matched to detected b-ions in positive MS/MS spectra. Moreover, negative spectra signals were converted and matched against y-ions in positive tandem mass spectra to identify complete peptide sequences. RESULTS: The FBSA derivatization procedure produced a significantly improved MS/MS dataset (populated by high-intensity signals of b- and y-ions) in comparison to commonly used N-terminal sulfonation reagents. Undesired side reactions do not occur and the procedure reduces the derivatization time. It was found that b-ions comprise 15% and 13% of all fragment ions generated in positive and negative ion mode, respectively. High visibility of b-ion series in negative ion mode can be attributed to the N-terminal sulfonation which had no effect on the production of b-ion series in positive ion mode. CONCLUSIONS: The FBSA derivatization and de novo sequencing approach outlined here provides a reliable method for accurate peptide sequence assignment. Increased production of the b-ions in positive and negative ion mode greatly improves peak assignment and thus enables accurate sequence reconstruction. Implementation of the named methodology would improve the quality of de novo sequencing data and reduce the number of misinterpreted spectra.