Classification and identification tasks in microbiology: mass spectrometric methods coming to the aid

Research output

Abstract

Mass spectrometry (MS) methods furnish the clue to many microbiological аpplications including advanced studies on the diversity and classification of prokaryotes. Mass spectral data contribute to the polyphasic taxonomy which considers genotypic characters together with structure-functional and ecological
traits. Additionally, these methods contribute to reliable and rapid identification of microorganisms bypassing conventional manipulations which are materials and time consuming. MS based analyses of biomarkers can be performed at the level of whole cells, cell homogenates, subcellular fractions, and individual molecules. For this purpose, various MS methods can be employed, such as MALDI-TOF, ESI, SELDI and BAMS. Of these, MALDI-TOF MS is the especially easy-to-use and rapid method with many analytical applications, primarily in proteomics which aims at comprehensive description of protein inventory in prokaryotes. An alternative for detection and comparison of biomarkers via MS is amplification and alignment of marker gene sequences. Two molecular approaches supplement each other under support of database resources. Microbiologists readily assimilate MS methods propelled by high performance analyzers and sen-
sitive detectors. The review focuses at progressing application of MS methods in microbiology, with an emphasis on identification and comparative study of bacteria.
Original languageEnglish
Pages (from-to)534-547
Number of pages13
JournalMicrobiology (Russian Federation)
Volume88
DOIs
Publication statusPublished - 2019

Cite this

@article{fe7a941d72864ad9a6c08f4b341fdb4a,
title = "Classification and identification tasks in microbiology: mass spectrometric methods coming to the aid",
abstract = "Mass spectrometry (MS) methods furnish the clue to many microbiological аpplications including advanced studies on the diversity and classification of prokaryotes. Mass spectral data contribute to the polyphasic taxonomy which considers genotypic characters together with structure-functional and ecologicaltraits. Additionally, these methods contribute to reliable and rapid identification of microorganisms bypassing conventional manipulations which are materials and time consuming. MS based analyses of biomarkers can be performed at the level of whole cells, cell homogenates, subcellular fractions, and individual molecules. For this purpose, various MS methods can be employed, such as MALDI-TOF, ESI, SELDI and BAMS. Of these, MALDI-TOF MS is the especially easy-to-use and rapid method with many analytical applications, primarily in proteomics which aims at comprehensive description of protein inventory in prokaryotes. An alternative for detection and comparison of biomarkers via MS is amplification and alignment of marker gene sequences. Two molecular approaches supplement each other under support of database resources. Microbiologists readily assimilate MS methods propelled by high performance analyzers and sen-sitive detectors. The review focuses at progressing application of MS methods in microbiology, with an emphasis on identification and comparative study of bacteria.",
author = "Величко, {Наталия Владиславовна} and Пиневич, {Александр Васильевич}",
year = "2019",
doi = "DOI: 10.1134/S0026261719050151",
language = "English",
volume = "88",
pages = "534--547",
journal = "МИКРОБИОЛОГИЯ",
issn = "0026-3656",
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TY - JOUR

T1 - Classification and identification tasks in microbiology: mass spectrometric methods coming to the aid

AU - Величко, Наталия Владиславовна

AU - Пиневич, Александр Васильевич

PY - 2019

Y1 - 2019

N2 - Mass spectrometry (MS) methods furnish the clue to many microbiological аpplications including advanced studies on the diversity and classification of prokaryotes. Mass spectral data contribute to the polyphasic taxonomy which considers genotypic characters together with structure-functional and ecologicaltraits. Additionally, these methods contribute to reliable and rapid identification of microorganisms bypassing conventional manipulations which are materials and time consuming. MS based analyses of biomarkers can be performed at the level of whole cells, cell homogenates, subcellular fractions, and individual molecules. For this purpose, various MS methods can be employed, such as MALDI-TOF, ESI, SELDI and BAMS. Of these, MALDI-TOF MS is the especially easy-to-use and rapid method with many analytical applications, primarily in proteomics which aims at comprehensive description of protein inventory in prokaryotes. An alternative for detection and comparison of biomarkers via MS is amplification and alignment of marker gene sequences. Two molecular approaches supplement each other under support of database resources. Microbiologists readily assimilate MS methods propelled by high performance analyzers and sen-sitive detectors. The review focuses at progressing application of MS methods in microbiology, with an emphasis on identification and comparative study of bacteria.

AB - Mass spectrometry (MS) methods furnish the clue to many microbiological аpplications including advanced studies on the diversity and classification of prokaryotes. Mass spectral data contribute to the polyphasic taxonomy which considers genotypic characters together with structure-functional and ecologicaltraits. Additionally, these methods contribute to reliable and rapid identification of microorganisms bypassing conventional manipulations which are materials and time consuming. MS based analyses of biomarkers can be performed at the level of whole cells, cell homogenates, subcellular fractions, and individual molecules. For this purpose, various MS methods can be employed, such as MALDI-TOF, ESI, SELDI and BAMS. Of these, MALDI-TOF MS is the especially easy-to-use and rapid method with many analytical applications, primarily in proteomics which aims at comprehensive description of protein inventory in prokaryotes. An alternative for detection and comparison of biomarkers via MS is amplification and alignment of marker gene sequences. Two molecular approaches supplement each other under support of database resources. Microbiologists readily assimilate MS methods propelled by high performance analyzers and sen-sitive detectors. The review focuses at progressing application of MS methods in microbiology, with an emphasis on identification and comparative study of bacteria.

U2 - DOI: 10.1134/S0026261719050151

DO - DOI: 10.1134/S0026261719050151

M3 - Review article

VL - 88

SP - 534

EP - 547

JO - МИКРОБИОЛОГИЯ

JF - МИКРОБИОЛОГИЯ

SN - 0026-3656

ER -