A MALDI-TOF MS library for rapid identification of human commensal gut bacteria from the class Clostridia.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_3CB9A6F82FA0
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A MALDI-TOF MS library for rapid identification of human commensal gut bacteria from the class Clostridia.
Journal
Frontiers in microbiology
Author(s)
Asare P.T., Lee C.H., Hürlimann V., Teo Y., Cuénod A., Akduman N., Gekeler C., Afrizal A., Corthesy M., Kohout C., Thomas V., de Wouters T., Greub G., Clavel T., Pamer E.G., Egli A., Maier L., Vonaesch P.
ISSN
1664-302X (Print)
ISSN-L
1664-302X
Publication state
Published
Issued date
2023
Peer-reviewed
Oui
Volume
14
Pages
1104707
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
Microbial isolates from culture can be identified using 16S or whole-genome sequencing which generates substantial costs and requires time and expertise. Protein fingerprinting via Matrix-assisted Laser Desorption Ionization-time of flight mass spectrometry (MALDI-TOF MS) is widely used for rapid bacterial identification in routine diagnostics but shows a poor performance and resolution on commensal bacteria due to currently limited database entries. The aim of this study was to develop a MALDI-TOF MS plugin database (CLOSTRI-TOF) allowing for rapid identification of non-pathogenic human commensal gastrointestinal bacteria.
We constructed a database containing mass spectral profiles (MSP) from 142 bacterial strains representing 47 species and 21 genera within the class Clostridia. Each strain-specific MSP was constructed using >20 raw spectra measured on a microflex Biotyper system (Bruker-Daltonics) from two independent cultures.
For validation, we used 58 sequence-confirmed strains and the CLOSTRI-TOF database successfully identified 98 and 93% of the strains, respectively, in two independent laboratories. Next, we applied the database to 326 isolates from stool of healthy Swiss volunteers and identified 264 (82%) of all isolates (compared to 170 (52.1%) with the Bruker-Daltonics library alone), thus classifying 60% of the formerly unknown isolates.
We describe a new open-source MSP database for fast and accurate identification of the Clostridia class from the human gut microbiota. CLOSTRI-TOF expands the number of species which can be rapidly identified by MALDI-TOF MS.
Keywords
Clostridia, MALDI-TOF MS, anaerobic, bacterial identification, commensal bacteria, culturomics, human gut microbiota, next-generation probiotics
Pubmed
Web of science
Open Access
Yes
Create date
16/03/2023 8:51
Last modification date
24/03/2023 7:09
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