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A MALDI-TOF MS library for rapid identification of human commensal gut bacteria from the class Clostridia
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4665709
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.; Vonäsch, P.
Author(s) at UniBasel Asare, Paul Tetteh
Lee, Chi-Hsien
Vonäsch, Pascale
Year 2023
Title A MALDI-TOF MS library for rapid identification of human commensal gut bacteria from the class Clostridia
Journal Front Microbiol
Volume 14
Pages / Article-Number 1104707
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 (CLOSTRI-TOF) 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 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. 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.
ISSN/ISBN 1664-302X (Print)1664-302X (Electronic)1664-302X (Linking)
URL https://doi.org/10.3389/fmicb.2023.1104707
edoc-URL https://edoc.unibas.ch/94598/
Full Text on edoc Available
Digital Object Identifier DOI 10.3389/fmicb.2023.1104707
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/36896425
ISI-Number WOS:000943983700001
Document type (ISI) Journal Article
 
   

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