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The astounding exhaustiveness and speed of the Astral mass analyzer for highly complex samples is a quantum leap in the functional analysis of microbiomes

Authors :
Thibaut Dumas
Roxana Martinez Pinna
Clément Lozano
Sonja Radau
Olivier Pible
Lucia Grenga
Jean Armengaud
Source :
Microbiome, Vol 12, Iss 1, Pp 1-15 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background By analyzing the proteins which are the workhorses of biological systems, metaproteomics allows us to list the taxa present in any microbiota, monitor their relative biomass, and characterize the functioning of complex biological systems. Results Here, we present a new strategy for rapidly determining the microbial community structure of a given sample and designing a customized protein sequence database to optimally exploit extensive tandem mass spectrometry data. This approach leverages the capabilities of the first generation of Quadrupole Orbitrap mass spectrometer incorporating an asymmetric track lossless (Astral) analyzer, offering rapid MS/MS scan speed and sensitivity. We took advantage of data-dependent acquisition and data-independent acquisition strategies using a peptide extract from a human fecal sample spiked with precise amounts of peptides from two reference bacteria. Conclusions Our approach, which combines both acquisition methods, proves to be time-efficient while processing extensive generic databases and massive datasets, achieving a coverage of more than 122,000 unique peptides and 38,000 protein groups within a 30-min DIA run. This marks a significant departure from current state-of-the-art metaproteomics methodologies, resulting in broader coverage of the metabolic pathways governing the biological system. In combination, our strategy and the Astral mass analyzer represent a quantum leap in the functional analysis of microbiomes. Video Abstract

Details

Language :
English
ISSN :
20492618
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Microbiome
Publication Type :
Academic Journal
Accession number :
edsdoj.032464d83fd042e1ac2932e90f31dc55
Document Type :
article
Full Text :
https://doi.org/10.1186/s40168-024-01766-4