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Identification of Salmonella Taxon-Specific Peptide Markers to the Serovar Level by Mass Spectrometry

Author:
Chen, Shu-Hua, Parker, Christine H., Croley, Timothy R., McFarland, Melinda A.
Source:
Analytical chemistry 2019 v.91 no.7 pp. 4388-4395
ISSN:
1520-6882
Subject:
Salmonella enterica subsp. enterica, amino acid sequences, databases, decision support systems, genome, liquid chromatography, peptides, proteome, serotypes, tandem mass spectrometry
Abstract:
We present an LC–MS/MS pipeline to identify taxon-specific tryptic peptide markers for the identification of Salmonella at the genus, species, subspecies, and serovar levels of specificity. Salmonella enterica subsp. enterica serovars Typhimurium and its four closest relatives, Saintpaul, Heidelberg, Paratyphi B, and Muenchen, were evaluated. A decision-tree approach was used to identify peptides common to the five Salmonella proteomes for evaluation as genus-, species-, and subspecies-specific markers. Peptides identified for two or fewer Salmonella strains were evaluated as potential serovar markers. Currently, there are approximately 140 000 assembled bacterial genomes publicly available, more than 8500 of which are for Salmonella. Consequently, the specificity of each candidate peptide marker was confirmed across all publicly available protein sequences in the NCBI nonredundant (nr) database. The performance of a subset of candidate taxon-specific peptide markers was evaluated in a targeted mass-spectrometry method. The presented workflow offers a marked improvement in specificity over existing MALDI-TOF-based bacterial identification platforms for the identification of closely related Salmonella serovars.
Agid:
6355682