Identification of bacteria using mass spectrometry techniques

Krásný, Lukáš; Hynek, Radovan; Hochel, Igor

doi:10.1016/j.ijms.2013.04.016

Cited by 64 publications

(43 citation statements)

References 156 publications

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“…Chemotaxonomy offers an alternative approach, in which classification of microbial strains is based upon the analytical measurement of chemical constituents, either as unique biomarkers or as contributors to distinctive ratios of chemical components e.g. specialized metabolites, proteins, carbohydrates, lipids, and nucleic acids 20, 22–24 . Mass spectrometry can be used as a chemotaxonic measure by utilizing MS data from known microbes as reference data.…”

Section: Mass Spectrometry Based Microbial Classification and Idenmentioning

confidence: 99%

“…As a result, fatty acid inventories have become a well-established method for bacterial chemotaxonomic identification. Analysis of modified bacterial fatty acids derivatized to F atty A cids M ethyl E sters using a Gas Chromatograph mass spectrometer (GC-FAME) enables the classification and identification of bacteria at the genus and specie level 20, 27 . It has been suggested that branched chain fatty acids are more common in many Gram-positive bacteria, while Gram-negative bacteria are composed of predominately straight chain fatty acids.…”

Section: Mass Spectrometry Based Microbial Classification and Idenmentioning

confidence: 99%

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Mass spectrometry tools and workflows for revealing microbial chemistry

Luzzatto-Knaan

Melnik

Dorrestein

2015

Analyst

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Since the time Van Leeuwenhoek was able to observe microbes through a microscope, an innovation that led to the birth of the field of microbiology, we have aimed to understand how microorganisms function, interact and communicate. The exciting progress in the development of analytical technologies and workflows has demonstrated mass spectrometry as very powerful technique for the interrogation of microbiology at the molecular level. In this review, we aim to highlight the available and emerging tools in mass spectrometry for microbial analysis by overviewing the methods and workflow advances for taxonomic identification, microbial interaction, dereplication and drug discovery. We emphasize their potential for future development, point out unsolved problems and future directions that would aid in the analysis of the chemistry produced by microbes.

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Section: Mass Spectrometry Based Microbial Classification and Idenmentioning

confidence: 99%

Section: Mass Spectrometry Based Microbial Classification and Idenmentioning

confidence: 99%

Mass spectrometry tools and workflows for revealing microbial chemistry

Luzzatto-Knaan

Melnik

Dorrestein

2015

Analyst

View full text Add to dashboard Cite

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“…The rest are cold-shock proteins, DNA-binding proteins and outer-membrane lipoproteins. Therefore, DHB will be the most favorable matrix for the analysis of lipoproteins, whereas in the case of intact cell measurements of DNA-binding proteins the use of HCCA will result in a higher number of signals [21]. Therefore, analysis of IC MALDI TOF MS of native bacteria strains with microorganisms culturing in stress condition (e.g.…”

Section: Spectrometric Analysis Of Bacteriamentioning

confidence: 99%

“…Spectrometric analysis of a bacteria strain provides comprehensive information about molecular composition of cells. This approach based on analysis of the unique cell components mainly protein profile of a microorganism, known as molecular fingerprint (MF) [21].…”

Section: Introductionmentioning

confidence: 99%

Assignment of functional groups in Gram-positive bacteria

Buszewski¹

2015

J Anal Bioanal Tech

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The chemical composition, molecular structure and physicochemical properties of five Gram-positive bacterial strain: Bacillus cereus, Bacillus subtilis, Sarcina lutea, Staphylococcus aureus, Micococcus luteus were investigated by Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), NMR spectroscopy and intact cell matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (IC MALDI TOF MS). An analysis of FTIR spectra as a function of pH revealed the three major types of cell wall functional groups -carboxyl group, amino group and phosphate group. An analysis of XPS spectra was determinate the major surface components of bacterial cell.13 C NMR and IC MALDI TOF MS spectra of six bacterial species were registered. Our findings indicate that chemical and structural differences in the cell composition of Gram-positive bacteria can be detected.The obtained results also demonstrate that the combination of FTIR, XPS and NMR spectroscopy with IC MALDI TOF MS technique yields useful information and complements other biochemical and physical methods of microbial cells characteristics.

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“…This is because it provides an ideal identification system and has more advantages over conventional methods, such as offering rapid, accurate, economical, and high throughput analysis [25], [26]. In principle, MALDI-TOF MS generates a unique mass spectrum as a fingerprint from whole-cell bacteria or crude extract.…”

Section: Introductionmentioning

confidence: 99%

Source-Identifying Biomarker Ions between Environmental and Clinical Burkholderia pseudomallei Using Whole-Cell Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)

et al. 2014

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Burkholderia pseudomallei is the causative agent of melioidosis, which is an endemic disease in Northeast Thailand and Northern Australia. Environmental reservoirs, including wet soils and muddy water, serve as the major sources for contributing bacterial infection to both humans and animals. The whole-cell matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (whole-cell MALDI-TOF MS) has recently been applied as a rapid, accurate, and high-throughput tool for clinical diagnosis and microbiological research. In this present study, we employed a whole-cell MALDI-TOF MS approach for assessing its potency in clustering a total of 11 different B. pseudomallei isolates (consisting of 5 environmental and 6 clinical isolates) with respect to their origins and to further investigate the source-identifying biomarker ions belonging to each bacterial group. The cluster analysis demonstrated that six out of eleven isolates were grouped correctly to their sources. Our results revealed a total of ten source-identifying biomarker ions, which exhibited statistically significant differences in peak intensity between average environmental and clinical mass spectra using ClinProTools software. Six out of ten mass ions were assigned as environmental-identifying biomarker ions (EIBIs), including, m/z 4,056, 4,214, 5,814, 7,545, 7,895, and 8,112, whereas the remaining four mass ions were defined as clinical-identifying biomarker ions (CIBIs) consisting of m/z 3,658, 6,322, 7,035, and 7,984. Hence, our findings represented, for the first time, the source-specific biomarkers of environmental and clinical B. pseudomallei.

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Identification of bacteria using mass spectrometry techniques

Cited by 64 publications

References 156 publications

Mass spectrometry tools and workflows for revealing microbial chemistry

Mass spectrometry tools and workflows for revealing microbial chemistry

Assignment of functional groups in Gram-positive bacteria

Source-Identifying Biomarker Ions between Environmental and Clinical Burkholderia pseudomallei Using Whole-Cell Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)

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