Web platform enhances bacterial identification using MALDI-TOF mass spectrometry, indicating its potential in microbiology.
The identification of bacteria is central to the microbiological sciences. While gene sequencing methods have been the standard to identify bacteria, use of MALDI-TOF mass spectrometry (MS) in clinical microbiology provides high-throughput identification to the subspecies level. However, biotyping has yet to be adopted outside of clinical settings due to the lack of a centralized public database of MS protein signatures that would facilitate strain identification via spectral comparison. Herein we present the IDBac web platform, a crowd-sourced central knowledgebase of protein MS signatures of >1400 strains spanning 6 bacterial phyla. Accompanying the knowledgebase is analysis infrastructure to identify unknown isolates, probe relationships within culture collections, and visualize specialized metabolite differences within groups of closely related bacteria. We highlight this utility by demonstrating the dereplication of bacterial isolates using the seed knowledgebase, identifying trends in culture collections using metadata integration, and reporting the discovery of a new metabolite from a Paraburkholderia isolate.
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Krull et al. (2025) studied this question.
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