Bacillus cytotoxicus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA41781 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Bacillus cytotoxicus Genome sequencing and assembly
| PRJNA394959 | ENA
Project description:Bacillus cytotoxicus strain:CH_213 Genome sequencing and assembly
| PRJNA646186 | ENA
Project description:Bacillus cytotoxicus is the thermotolerant representative of the Bacillus cereus group. This group, also known as B. cereus sensu lato, comprises both beneficial and pathogenic members and includes psychrotolerant and thermotolerant species. Bacillus cytotoxicus was originally recovered from a fatal outbreak in France in 1998. This species forms a remote cluster from the B. cereus group members and reliably contains the cytk-1 gene, coding for a cytotoxic variant of cytotoxin K. Although this species was originally thought to be homogenous, intra-species diversity has been recently described with four clades, six random amplified polymorphic DNA (RAPD) patterns, and 11 plasmids profiles. This study aimed to get new insights into the genomic diversity of B. cytotoxicus and to decipher the underlying chromosomal and plasmidial variations among six representative isolates through whole genome sequencing (WGS). Among the six sequenced strains, four fitted the previously described genomic clades A and D, while the remaining two constituted new distinct branches. As for the plasmid content of these strains, three large plasmids were putatively conjugative and three small ones potentially mobilizable, harboring coding genes for putative leaderless bacteriocins. Mobile genetic elements, such as prophages, Insertion Sequences (IS), and Bacillus cereus repeats (bcr) greatly contributed to the B. cytotoxicus diversity. As for IS elements and bcr, IS3 and bcr1 were the most abundant elements and, along with the group II intron B.c.I8, were found in all analyzed B. cytotoxicus strains. When compared to other B. cytotoxicus strains, the type-strain NVH 391-98 displayed a relatively low number of IS. Our results shed new light on the contribution of mobile genetic elements to the genome plasticity of B. cytotoxicus and their potential role in horizontal gene transfer.
| S-EPMC8725734 | biostudies-literature
Project description:GenomeTrakr Project: US Food and Drug Administration, Center for Food Safety and Applied Nutrition
| PRJNA663606 | ENA
Project description:The aim of the experiments was to determine the regulon of the Bacillus subtilis alternative sigma factor SigI. Biological relevance: To expand our knowledge about Bacillus subtilis transcriptional network under unfavorable conditions. Experimental workflow overview: Bacillus subtilis 168 trp+ (BaSysBio) was used as the genetic background. (i) sigI-rsgI knock-out, (ii) rsgI knock-out, and (iii) wr strains were cultured in LB medium to mid-exponential phase at 37°C and 52°C. Total RNA was isolated from 3 ml of the culture. rRNA was depleted from the samples with RiboMinus; subsequently RNA-seq libraries were prepared (Illumina compatible NEXTflex Rapid Directional RNA-Seq Kit, Bioo Scientific) and sequenced at the EMBL GeneCore facility. The experiment was performed in three independent replicates.
2018-06-26 | E-MTAB-6314 | biostudies-arrayexpress
Project description:Identification of the specific WalR (YycF) binding regions on the B. subtilis chromosome during exponential and phosphate starvation growth phases. The data serves to extend the WalRK regulon in Bacillus subtilis and its role in cell wall metabolism, as well as implying a role in several other cellular processes.
2015-01-26 | GSE65272 | GEO
Project description:This series represents the work described in the publication Bacillus subtilis Genome Diversity by Earl et al. (Journal of Bacteriology, accepted) Keywords: comparative genomic hybridization
2006-12-13 | GSE6498 | GEO
Project description:Examine possible association of Ssb, PolC, DnaC, PcrA with ICEBs1 in RapI-induced Bacillus subtilis
2009-10-16 | GSE18228 | GEO
Project description:Comparative Genomic Hybridization. Analysis of genomic content of closely related Bacillus species. Refer to individual records for strain information. Refer to platform and individual sample records for experimental protocols. Keywords: other
2004-10-28 | GSE568 | GEO
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.
| S-EPMC6498184 | biostudies-literature