Identification of marker proteins forBacillus anthracis using MALDI-TOF MS and ion trap MS/MS after direct extraction or electrophoretic separation

Multidimensional mass profiles increase confidence in bacterial identification when using low-resolution mass spectrometers

Field-forward analytical technologies, such as portable mass spectrometry (MS), enable essential capabilities for real-time monitoring and point-of-care diagnostic applications. Significant and recent investments improving the features of miniaturized mass spectrometers enable various new applications outside of small molecule detection. Most notably, the addition of tandem mass spectrometry scans (MS/MS) allows the instrument to isolate and fragment ions and increase the analytical specificity by measuring unique chemical signatures for ions of interest. Notwithstanding these technological advancements, low-cost, portable systems still struggle to confidently identify clinically significant organisms of interest, such as bacteria, viruses, and proteinaceous toxins, due to the limitations in resolving power. To overcome these limitations, we developed a novel multidimensional mass fingerprinting technique that uses tandem mass spectrometry to increase the chemical specificity for low-resolution mass spectral profiles. We demonstrated the method's capabilities for differentiating four different bacteria, including attentuated strains of Yersinia pestis. This approach allowed for the accurate (>92%) identification of each organism at the strain level using de-resolved matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) data to mimic the performance characteristics of miniaturized mass spectrometers. This work demonstrates that low-resolution mass spectrometers, equipped with tandem MS acquisition modes, can accurately identify clinically relevant bacteria. These findings support the future application of these technologies for field-forward and point-of-care applications where high-performance mass spectrometers would be cost-prohibitive or otherwise impractical.

MALDI-TOF Mass Spectrometry for the Diagnosis of Citrus Canker Caused by Xanthomonas citri subsp. citri

Citrus canker, caused by the bacterium Xanthomonas citri subsp. citri (Xcc), is a disease that causes serious problems to the global citrus industry. Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (MALDI-TOF) Mass Spectrometry (MS) has been used in human medicine to diagnose various diseases caused by both fungi and bacteria. In agriculture, this technique has potential for the diagnosis of diseases due to the low cost of large-scale analysis and quickness. This study showed that MALDI-TOF MS combined with chemometric analysis was effective for differentiating the macromolecule profile of orange leaves with canker lesions, healthy leaves, and leaves with phytotoxicity symptoms, proving that this technique may be used for the rapid diagnosis of citrus canker.

Rapid identification of Bacillus anthracis spores in suspicious powder samples by using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)

Rapid and reliable identification of Bacillus anthracis spores in suspicious powders is important to mitigate the safety risks and economic burdens associated with such incidents. The aim of this study was to develop and validate a rapid and reliable laboratory-based matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) analysis method for identifying B. anthracis spores in suspicious powder samples. A reference library containing 22 different Bacillus sp. strains or hoax materials was constructed and coupled with a novel classification algorithm and standardized processing protocol for various powder samples. The method's limit of B. anthracis detection was determined to be 2.5 × 10(6) spores, equivalent to a 55-μg sample size of the crudest B. anthracis-containing powder discovered during the 2001 Amerithrax incidents. The end-to-end analysis method was able to successfully discriminate among samples containing B. anthracis spores, closely related Bacillus sp. spores, and commonly encountered hoax materials. No false-positive or -negative classifications of B. anthracis spores were observed, even when the analysis method was challenged with a wide range of other bacterial agents. The robustness of the method was demonstrated by analyzing samples (i) at an external facility using a different MALDI-TOF MS instrument, (ii) using an untrained operator, and (iii) using mixtures of Bacillus sp. spores and hoax materials. Taken together, the observed performance of the analysis method developed demonstrates its potential applicability as a rapid, specific, sensitive, robust, and cost-effective laboratory-based analysis tool for resolving incidents involving suspicious powders in less than 30 min.

MALDI TOF MS profiling of bacteria at the strain level: a review

Since the advent of the use of matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry (TOF MS) as a tool for microbial characterization, efforts to increase the taxonomic resolution of the approach have been made. The rapidity and efficacy of the approach have suggested applications in counter-bioterrorism, prevention of food contamination, and monitoring the spread of antibiotic-resistant bacteria. Strain-level resolution has been reported with diverse bacteria, using library-based and bioinformatics-enabled approaches. Three types of characterization at the strain level have been reported: strain categorization, strain differentiation, and strain identification. Efforts to enhance the library-based approach have involved sample pre-treatment and data reduction strategies. Bioinformatics approaches have leveraged the ever-increasing amount of publicly available genomic and proteomic data to attain strain-level characterization. Bioinformatics-enabled strategies have facilitated strain characterization via intact biomarker identification, bottom-up, and top-down approaches. Rigorous quantitative and advanced statistical analyses have fostered success at the strain level with both approaches. Library-based approaches can be limited by effects of sample preparation and culture conditions on reproducibility, whereas bioinformatics-enabled approaches are typically limited to bacteria, for which genetic and/or proteomic data are available. Biological molecules other than proteins produced in strain-specific manners, including lipids and lipopeptides, might represent other avenues by which strain-level resolution might be attained. Immunological and lectin-based chemistries have shown promise to enhance sensitivity and specificity. Whereas the limits of the taxonomic resolution of MALDI TOF MS profiling of bacteria appears bacterium-specific, recent data suggest that these limits might not yet have been reached.

Sample preparation methods for MALDI-MS profiling of bacteria

Direct matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) bacterial cell or lysate analysis appears to meet all the criteria required for a rapid and reliable analytical microorganism identification and taxonomical classification tool. Few-minute analytical procedure providing information extending up to sub-species level underlines the potential of the MALDI-MS profiling in comparison with other methods employed in the field. However, the quality of MALDI-MS profiles and consequently the performance of the method are influenced by numerous factors, which involve particular steps of the sample preparation procedure. This review is aimed at advances in development and optimization of the MALDI-MS profiling methodology. Approaches improving the quality of the MALDI-MS profiles and universal feasibility of the method are discussed.

Improving sample treatment for in-solution protein identification by peptide mass fingerprint using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Three ultrasonic energy sources were studied to speed up the sample treatment for in-solution protein identification by peptide mass fingerprint using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Protein reduction, alkylation, and enzymatic digestion steps were done in 15 min. Nine proteins, including zinc resistance-associated protein precursor from Desulfovibrio desulfuricans strain G20 and split-soret cytochrome c from D. desulfuricans ATCC27774 were successfully identified with the new protocol.

New findings for in-gel digestion accelerated by high-intensity focused ultrasound for protein identification by matrix-assisted laser desorption ionization time-of-flight mass spectrometry

New findings in sample treatment based on high-intensity focused ultrasound (HIFU) for protein digestion after polyacrylamide gel electrophoresis separation are presented. The following variables were studied: (i) sample volume; (ii) sonotrode diameter; (iii) previous protein denaturation; (iv) cooling; (v) enzyme concentration; and (vi) protein concentration. Results showed that positive protein identification could be done after protein separation by gel electrophoresis through peptide mass fingerprint (PMF) in a volume as low as 25 microL. The time needed was less than 2 min and no cooling was necessary. The importance of the sonotrode diameter was negligible. On the other hand, protein denaturation before sonication was a trade-off for the success of procedure here described. The protein coverage was raised from 5 to 30%, and the number of peptides matching the proteins was also increased in a percentage ranging 10-100% when the classical overnight treatment is compared with the proposed HIFU procedure. The minimum amount of protein that can be identified using the HIFU sample treatment by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) was 0.06 microg. The lower concentration of trypsin successfully used to obtain an adequate protein digestion was 3.6 microg/mL.

Bacillus cereus strains fall into two clusters (one closely and one more distantly related) to Bacillus anthracis according to amino acid substitutions in small acid-soluble proteins as determined by tandem mass spectrometry

Small acid-soluble proteins (SASPs) are located in the core region of Bacillus spores and have been previously demonstrated as reliable biomarkers for differentiating Bacillus anthracis and Bacillus cereus. Using MS and MS-MS analysis of SASPs further phylogenetic correlations among B. anthracis and B. cereus strains are described here. ESI was demonstrated to be a more comprehensive method, allowing for the analysis of intact proteins in both MS and MS-MS mode, thus providing molecular weight (MW) and sequence information in a single analysis, and requiring almost no sample preparation. MALDI MS was used for determination of MW of intact proteins; however, MS-MS analysis can only be achieved after enzymatic digestion of these proteins. It was demonstrated that the combination of the two different approaches provides confirmatory and complementary information, allowing for unambiguous protein characterization and sequencing. This study established that B. cereus strains fall into two clusters (one closely and one more distantly related) to B. anthracis as exhibited by amino acid substitutions. The closely related cluster was characterized by a beta-SASP with a single amino acid substitution, localized either close to the C terminus (phenylalanine-->tyrosine, 16 masses change) or close to the N terminus (serine-->alanine serine, also 16 masses change). The more distantly related cluster displayed both amino acid substitutions (32 masses change). One strain of B. cereus isolated from a patient with severe pneumonia (an anthrax-like disease) fell into the more distantly related cluster implying that pathogenicity and phylogenicity are not necessarily correlated features. Unlike PCR and DNA sequencing, protein sequence variation assessed by ESI MS-MS, essentially occurs in real-time, and involves simply extracting the protein and injecting into the instrument for analysis.

Simplifying sample handling for protein identification by peptide mass fingerprint using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

An ultrasonic bath, an ultrasonic probe and a sonoreactor were used to speed up the kinetics of the reactions involved in each step of the sample handling for in-gel protein identification by peptide mass fingerprint, PMF, using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The following steps were successfully accelerated using ultrasonic energy: gel washing, protein reduction, and protein alkylation. As a result, a reduction comprising 80% to 90% of the total time involved in the classic approach was achieved. In addition the sample handling was also drastically simplified. The number of peptides identified and the protein sequence coverage obtained for the new procedure were comparable to those obtained with the traditional sample treatment for the following protein standards: glycogen phosphorylase b, BSA, ovalbumin, carbonic anhydrase, trypsin inhibitor and alpha-lactalbumin. Finally, as a proof of the procedure, specific proteins were identified from complex protein mixtures obtained from three different sulphate-reducing bacteria: Desulfovibrio desulfuricans G20, Desulfuvibrio gigas NCIB 9332, and Desulfuvibrio desulfuricans ATCC 27774.

Proteomic approaches to bacterial differentiation

Mass spectrometry-based proteomics has been used extensively to explore the proteomes of various organisms, and this technology is now being applied to the characterization of bacterial species. Predominantly, two methods emerge as leaders in this application. Intact protein profiling creates fingerprints of bacterial species which can be used for differentiation and tracking over time. Peptide-centric approaches, analyzed after enzymatic digestion, enable high-throughput proteome characterization in addition to species determination from the identification of peptides distinctive to a species. Highlighted herein is an application of a peptide-centric approach to the identification and quantitation of species-specific peptide identifiers using an in silico exploration and an experimental mass spectrometry-based method. The application to microbial communities is addressed with an in silico analysis of an artificial complex community of 25 microorganisms.

Rapid discrimination of Bacillus anthracis from other members of the B. cereus group by mass and sequence of “intact” small acid soluble proteins (SASPs) using mass spectrometry

The intentional contamination of buildings, e.g. anthrax in the bioterrorism attacks of 2001, demonstrated that the population can be affected rapidly and lethally if the appropriate treatment is not provided at the right time. Molecular approaches, primarily involving PCR, have proved useful in characterizing "white powders" used in these attacks as well as isolated organisms. However there is a need for a simpler approach, which does not involve temperamental reagents (e.g. enzymes and primers) which could potentially be used by first responders. It is demonstrated here that small acid-soluble proteins (SASPs), located in the core region of Bacillus spores, are reliable biomarkers for identification. The general strategy used in this study was to measure the molecular weight (MW) of an intact SASP by electrospray ionization mass spectrometry (ESI MS) followed by generation of sequence-specific information by ESI MS/MS (tandem mass spectrometry). A prominent SASP of mass 6679 was present in all B. anthracis strains. For B. cereus and B. thuringiensis strains the SASP had a mass of 6712. This represents a two amino acid substitution (serine to alanine; phenylalanine to tyrosine). The only SASP present in the B. anthracis genome consistent with this sequence is encoded by the gene ssB. This protein has a predicted mass of 6810, presumably post-translational processing leads to loss of methionine (mass 131) generating a SASP of mass 6679. This study showed that intact SASPs can be used as a biomarker for identification of B. anthracis; the protocol is simple and rapid. Extrapolation of this approach might prove important for real-time biodetection.