Identification and Characterization of Marine Microorganisms by Tandem Mass Spectrometry Proteotyping

The vast majority of marine microorganisms and their functions are yet to be explored. The considerable diversity they encompass is an endless source of knowledge and wealth that can be valued on an industrial scale, emphasizing the need to develop rapid and efficient identification and characteriza...

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Bibliographic Details
Published in:Microorganisms (Basel) 2022-03, Vol.10 (4), p.719
Main Authors: Lozano, Clément, Kielbasa, Mélodie, Gaillard, Jean-Charles, Miotello, Guylaine, Pible, Olivier, Armengaud, Jean
Format: Article
Language:English
Subjects:
Bacteria
Biochemistry, Molecular Biology
Coastal waters
Datasets
Genomics
Glycerol
Identification
Life Sciences
Marine microorganisms
Mass spectrometry
Mass spectroscopy
Microbiology and Parasitology
Microorganisms
Peptides
phylopeptidomics
Proteins
Proteomics
proteotyping
Scientific imaging
Spectroscopy
tandem mass spectrometry
Workflow
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Summary:The vast majority of marine microorganisms and their functions are yet to be explored. The considerable diversity they encompass is an endless source of knowledge and wealth that can be valued on an industrial scale, emphasizing the need to develop rapid and efficient identification and characterization techniques. In this study, we identified 26 microbial isolates from coastal water of the NW Mediterranean Sea, using phylopeptidomics, a cutting-edge tandem mass spectrometry proteotyping technique. Taxonomical identification at the species level was successfully conducted for all isolates. The presence of strains belonging to the newly described Balneolaeota phylum, yet uncharacterized at the proteomics scale, was noted. The very first proteomics-based investigation of a representative of the Balneolaeota phylum, is proposed, demonstrating the use of our proteotyping workflow for the rapid identification and in-depth molecular characterization, in a single MS/MS analytical run. Tandem mass spectrometry proteotyping is a valuable asset for culturomic programs as the methodology is able to quickly classify the most atypical isolates.
ISSN:2076-2607
2076-2607
DOI:10.3390/microorganisms10040719