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Development of real-time PCR assays for detection and quantification of Bacillus cereus group species: differentiation of B. weihenstephanensis and rhizoid B. pseudomycoides isolates from milk.

ABSTRACT: Quantitative real-time PCR (qRT-PCR) offers an alternative method for the detection of bacterial contamination in food. This method provides the quantitation and determination of the number of gene copies. In our study, we established an RT-PCR assay using the LightCycler system to detect and quantify the Bacillus cereus group species, which includes B. cereus, B. anthracis, B. thuringiensis, B. weihenstephanensis, B. mycoides, and B. pseudomycoides. A TaqMan assay was designed to detect a 285-bp fragment of the motB gene encoding the flagellar motor protein, which was specific for the detection of the B. cereus group species, excluding B. pseudomycoides, and the detection of a 217-bp gene fragment of a hypothetical protein specific only for B. pseudomycoides strains. Based on three hydrolysis probes (MotB-FAM-1, MotB-FAM-2, and Bpm-FAM-1), it was possible to differentiate B. weihenstephanensis from the B. cereus group species with nonrhizoid growth and B. pseudomycoides from the whole B. cereus group. The specificity of the assay was confirmed with 119 strains belonging to the Bacillus cereus group species and was performed against 27 other Bacillus and non-Bacillus bacteria. A detection limit was determined for each assay. The assays performed well not only with purified DNA but also with DNA extracted from milk samples artificially contaminated with bacteria that belong to the B. cereus group species. This technique represents an alternative approach to traditional culture methods for the differentiation of B. cereus group species and differentiates B. weihenstephanensis and B. pseudomycoides in one reaction.

SUBMITTER: Oliwa-Stasiak K

PROVIDER: S-EPMC3019731 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature

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Development of real-time PCR assays for detection and quantification of Bacillus cereus group species: differentiation of B. weihenstephanensis and rhizoid B. pseudomycoides isolates from milk.

Oliwa-Stasiak Kamila K Kolaj-Robin Olga O Adley Catherine C CC

Applied and environmental microbiology 20101105 1

Quantitative real-time PCR (qRT-PCR) offers an alternative method for the detection of bacterial contamination in food. This method provides the quantitation and determination of the number of gene copies. In our study, we established an RT-PCR assay using the LightCycler system to detect and quantify the Bacillus cereus group species, which includes B. cereus, B. anthracis, B. thuringiensis, B. weihenstephanensis, B. mycoides, and B. pseudomycoides. A TaqMan assay was designed to detect a 285-b ...[more]

PMID: 21057027

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Project description:The Bacillus cereus group comprises genetical closely related species with variable toxigenic characteristics. However, detection and differentiation of the B. cereus group species in routine diagnostics can be difficult, expensive and laborious since current species designation is linked to specific phenotypic characteristic or the presence of species-specific genes. Especially the differentiation of Bacillus cereus and Bacillus thuringiensis, the identification of psychrotolerant Bacillus mycoides and Bacillus weihenstephanensis, as well as the identification of emetic B. cereus and Bacillus cytotoxicus, which are both producing highly potent toxins, is of high importance in food microbiology. Thus, we investigated the use of a machine learning approach, based on artificial neural network (ANN) assisted Fourier transform infrared (FTIR) spectroscopy, for discrimination of B. cereus group members. The deep learning tool box of Matlab was employed to construct a one-level ANN, allowing the discrimination of the aforementioned B. cereus group members. This model resulted in 100% correct identification for the training set and 99.5% correct identification overall. The established ANN was applied to investigate the composition of B. cereus group members in soil, as a natural habitat of B. cereus, and in food samples originating from foodborne outbreaks. These analyses revealed a high complexity of B. cereus group populations, not only in soil samples but also in the samples from the foodborne outbreaks, highlighting the importance of taking multiple isolates from samples implicated in food poisonings. Notable, in contrast to the soil samples, no bacteria belonging to the psychrotolerant B. cereus group members were detected in the food samples linked to foodborne outbreaks, while the overall abundancy of B. thuringiensis did not significantly differ between the sample categories. None of the isolates was classified as B. cytotoxicus, fostering the hypothesis that the latter species is linked to very specific ecological niches. Overall, our work shows that machine learning assisted (FTIR) spectroscopy is suitable for identification of B. cereus group members in routine diagnostics and outbreak investigations. In addition, it is a promising tool to explore the natural habitats of B. cereus group, such as soil.

Project description:A fluorogenic probe-based PCR assay was developed and evaluated for its utility in detecting Bacillus cereus in nonfat dry milk. Regions of the hemolysin and cereolysin AB genes from an initial group of two B. cereus isolates and two Bacillus thuringiensis isolates were cloned and sequenced. Three single-base differences in two B. cereus strains were identified in the cereolysin AB gene at nucleotides 866, 875, and 1287, while there were no species-consistent differences found in the hemolysin gene. A fluorogenic probe-based PCR assay was developed which utilizes the 5'-to-3' exonuclease of Taq polymerase, and two fluorogenic probes were evaluated. One fluorogenic probe (cerTAQ-1) was designed to be specific for the nucleotide differences at bases 866 and 875 found in B. cereus. A total of 51 out of 72 B. cereus strains tested positive with the cerTAQ-1 probe, while only 1 out of 5 B. thuringiensis strains tested positive. Sequence analysis of the negative B. cereus strains revealed additional polymorphism found in the cereolysin probe target. A second probe (cerTAQ-2) was designed to account for additional polymorphic sequences found in the cerTAQ-1-negative B. cereus strains. A total of 35 out of 39 B. cereus strains tested positive (including 10 of 14 previously negative strains) with cerTAQ-2, although the assay readout was uniformly lower with this probe than with cerTAQ-1. A PCR assay using cerTAQ-1 was able to detect approximately 58 B. cereus CFU in 1 g of artificially contaminated nonfat dry milk. Forty-three nonfat dry milk samples were tested for the presence of B. cereus with the most-probable-number technique and the fluorogenic PCR assay. Twelve of the 43 samples were contaminated with B. cereus at levels greater than or equal to 43 CFU/g, and all 12 of these samples tested positive with the fluorogenic PCR assay. Of the remaining 31 samples, 12 were B. cereus negative and 19 were contaminated with B. cereus at levels ranging from 3 to 9 CFU/g. All 31 of these samples were negative in the fluorogenic PCR assay. Although not totally inclusive, the PCR-based assay with cerTAQ-1 is able to specifically detect B. cereus in nonfat dry milk.

Dataset Information

Development of real-time PCR assays for detection and quantification of Bacillus cereus group species: differentiation of B. weihenstephanensis and rhizoid B. pseudomycoides isolates from milk.

Publications

Development of real-time PCR assays for detection and quantification of Bacillus cereus group species: differentiation of B. weihenstephanensis and rhizoid B. pseudomycoides isolates from milk.

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