Members of the Bacillus subtilis group (BSG) possess industrial applicability; unfortunately, B. subtilis and its phylogenetically closest species are indistinguishable from one another using 16S rDNA sequencing, physiological and biochemical tests. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a relatively novel technique for the fast and reliable identification of microorganisms. The aim of this study was to construct a unique analytical in-house database (IHDB) for BSG discrimination based on whole-cell protein fingerprinting using MALDI-TOF MS, as well as to discover biomarkers from the MS peaks to generate a classification model for further differentiation using the ClinProTools software. Type strains of 12 species (included five subspecies) of the BSG were used to build a main spectrum profile (MSP) to create an IHDB under the optimized parameters. The BSG isolates obtained from partial recA gene sequencing were used for IHDB validation. A total of 84 (100%) isolates were correctly identified to the species level and had high score values (mean score: 2.52). However, the IHDB had ambiguous identification at the subspecies level of Bacillus amyloliquefaciens. After implementation of the classification models, the strains could be clearly differentiated. We have successfully developed a rapid, accurate and cost-effective platform for the species- and subspecies-level discrimination of BSG based on the implementation of the IHDB and coupled with ClinProTools, which can be employed as an alternative technology to DNA sequencing and applied for efficient quality control of the microbial agent.
Keywords: Bacillus subtilis group; Biomarkers; MALDI-TOF MS; Rapid discrimination; Species and subspecies-level; recA sequencing.
Copyright © 2016 Elsevier Ltd. All rights reserved.