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Bacillus cereus Group-Type Strain-Specific Diagnostic Peptides
Author(s) -
Stefanie Pfrunder,
Jonas Grossmann,
Peter Hunziker,
René Brunisholz,
Maria-Theresia Gekenidis,
David Drissner
Publication year - 2016
Publication title -
journal of proteome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/acs.jproteome.6b00216
Subject(s) - bacillus cereus , cereus , bacillus anthracis , in silico , biochemistry , biology , groel , strain (injury) , peptide , amino acid , computational biology , bacillus (shape) , peptide sequence , microbiology and biotechnology , genetics , bacteria , escherichia coli , gene , anatomy
The Bacillus cereus group consists of eight very closely related species and comprises both harmless and human pathogenic species such as Bacillus anthracis, Bacillus cereus, and Bacillus cytotoxicus. Numerous efforts have been undertaken to allow presumptive differentiation of B. cereus group species from one another. However, methods to rapidly and accurately distinguish these species are currently lacking. We confirmed that classical matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) biotyping cannot achieve reliable identification of each type strain. We therefore assigned type strain-specific diagnostic peptides to the B. cereus group based on comparisons of their proteomic profiles. The number of diagnostic peptides varied remarkably in a type strain-dependent manner. The accuracy of the reference database was crucial to validate candidate diagnostic peptides and led to a noteworthy reduction of verified diagnostic peptides. Diagnostic peptides ranged from one for B. weihenstephanensis to 62 for B. pseudomycoides and were associated with proteins involved in diverse biological processes, e.g. amino acid biosynthesis, cell envelope, cellular processes, energy metabolism, and transport processes. However, 45.6% of all diagnostic peptides comprised currently unclassified proteins or proteins of unknown function. In addition, a phylogenetic tree based on clustering of theoretical precursor masses deduced from in silico-generated tryptic peptides was reconstructed.

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