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Identification and Characterization of Marine Microorganisms by Tandem Mass Spectrometry Proteotyping

Lozano, Clément, Kielbasa, Mélodie, Gaillard, Jean-Charles, Miotello, Guylaine, Pible, Olivier, Armengaud, Jean·2022·Microorganisms
DOI 10.3390/microorganisms10040719PMC PMC9027524
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Abstract

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, Balneola vulgaris, 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.

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Figure 1 Diversity of bacterial isolates at the phylum and order level.
Figure 1 Diversity of bacterial isolates at the phylum and order level.CC BY · PubMed Central
Figure 2 Phylopeptidomic signatures and TSM values assigned to each taxon in the database as a function of the phylogenetic distance from Vibrio alginolyticus (A) and Balneola vulgaris (B). Orange dots represent experimentally obtained TSMs by querying the full NCBInr database while the black curve represents the modelized phylopeptidomic signature, i.e., a theoretical exponential distribution of TSMs relative to the phylogenetic distance separating organisms present in the queried database.
Figure 2 Phylopeptidomic signatures and TSM values assigned to each taxon in the database as a function of the phylogenetic distance from Vibrio alginolyticus (A) and Balneola vulgaris (B). Orange dots represent experimentally obtained TSMs by querying the full NCBInr database while the black curve represents the modelized phylopeptidomic signature, i.e., a theoretical exponential distribution of TSMs relative to the phylogenetic distance separating organisms present in the queried database.CC BY · PubMed Central
Figure 3 KEGG functional characterization of the proteomes of Vibrio alginolyticus and Balneola vulgaris using protein functional attribution (top panel) and functional attribution weighted by the NSAF of each protein (bottom panel).
Figure 3 KEGG functional characterization of the proteomes of Vibrio alginolyticus and Balneola vulgaris using protein functional attribution (top panel) and functional attribution weighted by the NSAF of each protein (bottom panel).CC BY · PubMed Central

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Metadata

Authors
Lozano, C., Kielbasa, M., Gaillard, J.-C., Miotello, G., Pible, O., & Armengaud, J.
Affiliations
Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, F-30200 Bagnols-sur-Cèze, France
ORCID
Armengaud, Jean
Venue
Microorganisms
Publisher
MDPI AG
Published
2022-03-26
Volume
10
Issue
4
Pages
719
ISSN
2076-2607
DOI
10.3390/microorganisms10040719
PMC
PMC9027524
Cited by
23
References
0
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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CoChat. (2026). Citation check: Identification and Characterization of Marine Microorganisms by Tandem Mass Spectrometry Proteotyping. https://app.cochat.ai/papers/10.3390/microorganisms10040719
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Lozano, C., Kielbasa, M., Gaillard, J.-C., Miotello, G., Pible, O., & Armengaud, J. (2022). Identification and Characterization of Marine Microorganisms by Tandem Mass Spectrometry Proteotyping. Microorganisms. https://doi.org/10.3390/microorganisms10040719