Project description:Strains 2-22 (S. agalactiae ST261 isolated from fish) and A909 (ST7) were grown in TH medium, at 30C and harvested at OD 0.3-0.4. Please note: ST261 and ST7 refer to MLST types commonly used in S.agalactiae as a first approach for phylogenomic relationships (MLST is based on the sequence of 7 genes).
Project description:Strains A909 (ST7 strain isolated from human) and CF01173 (ST7 strain isolated from fish) were grown in TH medium at 37C and harvested at OD 0.3-0.4. Please note: ST7 refers to MLST types commonly used in S.agalactiae as a first approach for phylogenomic relationships (MLST is based on the sequence of 7 genes).
Project description:The goal of this study is the discovery of (a) meaningful phylogenomic relationships among members of this B. cereus/B. anthracis group, and (b) reliable gene-phenotype associations, e.g. recognition of links between genomic traits and the ability of certain strains to cause various forms of disease. We also tried to elucidate genome evolution aspects that may lead to the emergence of variants that are capable (or have the potential) of causing anthrax-like disease. This large-scale comparative genomics approach is unprecedented for this taxonomic group. Dr. A. Hoffmaster (CDC) provided the PFGRC with 73 B. cereus and B. anthracis isolates from the CDC culture collection. Of these, 27 were isolated from patients with severe or systemic disease; ten isolates of this group were obtained from patients (welding factory workers) with anthrax-like disease or from the environment near their workplace. Another set of 26 represented isolates from food-born illnesses. Of the 26 gastrointestinal disease isolates (GIDI), 10 were obtained from patients with diarrhea, whereas another set of 10 had been shown to harbor the emetic (vomit) toxin gene by PCR. The rest of the group consisted of 20 isolates with various phenotypes. All strains were screened for their genomic content using the B. cereus/B. anthracis species microarray.
Project description:Functional profiles predicted based on taxonomic affiliations differed from those obtained by GeoChip microarray analysis, which separated community functional capacity based on plant location. The identified metabolic pathways provided insight regarding microbial strategies for colonization and survival in these ecosystems.
Project description:Functional profiles predicted based on taxonomic affiliations differed from those obtained by GeoChip microarray analysis, which separated community functional capacity based on plant location. The identified metabolic pathways provided insight regarding microbial strategies for colonization and survival in these ecosystems. Sixteen samples analyzed.
Project description:16S metagenomic analysis has provided much information about the intestinal microbiome. However, there are no reports that describe their appropriate taxonomic classification rank. Moreover, studies differ on the taxonomic ranking of the same microorganism. Intestinal microbiome exerts a significant degree of influence on the host via the metabolome. In the present study, we searched for their appropriate classification ranks based on the correlation between the metabolome and microbiome. Over 200 metabolites were identified by capillary electrophoresis and time-of-flight mass spectrometry (CE-TOFMS) based metabolomics of faeces from antibiotics-treated and untreated mice. Nine phyla, 15 orders, 22 classes, 40 families, and 59 genera were identified by 16S metagenomic analysis. Principle component analysis (PCA) of the intestinal microbiome at each taxonomic rank revealed differences between the antibiotic-treated and untreated groups on the first principle component in the family and genus-level analyses. These differences were similar to those found in the metabolome PCA. In addition, a strong correlation between principle component score of the metabolome and that of the microbiome was observed in the case of family and genus-level analyses. From these results, we hypothesize that lower taxonomic ranks such as family or genus are preferable while using 16S metagenome analysis for investigating the crosstalk, via metabolites, between intestinal microbiome and the host.
