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

Authors :
Asare, Paul Tetteh
Chi-Hsien Lee
Hürlimann, Vera
Youzheng Teo
Cuénod, Aline
Akduman, Nermin
Gekeler, Cordula
Kohout, Claire
Thomas, Vincent
de Wouters, Tomas
Greub, Gilbert
Clavel, Thomas
Pamer, Eric G.
Egli, Adrian
Maier, Lisa
Vonaesch, Pascale
Source :
Frontiers in Microbiology; 2023, p1-11, 11p
Publication Year :
2023

Abstract

Introduction: 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 (CLOSTRITOF) allowing for rapid identification of non-pathogenic human commensal gastrointestinal bacteria. Methods: 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. Results: For validation, we used 58 sequence-confirmed strains and the CLOSTRITOF 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. Discussion: 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1664302X
Database :
Complementary Index
Journal :
Frontiers in Microbiology
Publication Type :
Academic Journal
Accession number :
164142045
Full Text :
https://doi.org/10.3389/fmicb.2023.1104707