Project description:To explain the particular behavior of the mutant ΔpnpA strain, we performed a comparative transciptomic analysis of RNA isolated from a derivative strain ΔpnpA mutant versus the wild-type (WT) , after 3h and 6 h of growth in GM17 medium under semi-aerobic conditions.
Project description:To explain the particular behavior of the mutant ΔBac strain and the impact of the bacteriocin DD14 on the global regulation and gene expression in Ent. faecalis 14, we performed a comparative transciptomic analysis of RNA isolated from a derivative strain ΔBac mutant versus the wild-type (WT) , after 6 h of growth in GM17 medium under semi-aerobic conditions.
Project description:A fish-pathogenic bacterium, Enterococcus faecalis strain BFFF11, was isolated from a tilapia suffering from streptococcosis in a fish farm in the Gazipur district of Bangladesh. The whole genome of this strain, BFFF11, was 3,067,042 bp, with a GC content of 37.4%.
Project description:To further investigate the homeostatic response of E. faecalis to Fe exposure, we examine the whole-genome transcriptional response of wild-type (WT) exposed to non toxic Fe excess. This experiment correspond the work titled Transcriptomic response of Enterococcus faecalis to iron excess (work in preparation)
Project description:Enterococcus faecalis is a nonmotile Gram-positive coccus, found both as a commensal organism in healthy humans and animals and as a causative agent of multiple diseases, in particular endocarditis. We sequenced the genome of E. faecalis ATCC 29212, a commonly used reference strain in laboratory studies, to complete "finished" annotated assembly (3 Mb).
Project description:Bacteria can survive antibiotic treatment both by acquiring antibiotic resistance genes and through mechanisms of tolerance that are based on phenotypic changes and the formation of metabolically inactive cells. Here, we report an Enterococcus faecalis strain (E. faecalis UM001B) that was isolated from a cystic fibrosis patient and had no increase in resistance but extremely high-level tolerance to ampicillin, vancomycin, and tetracycline. Specifically, the percentages of cells that survived 3.5-h antibiotic treatment (at 100 μg · ml-1) were 25.4% ± 4.3% and 51.9% ± 4.0% for ampicillin and tetracycline, respectively; vancomycin did not exhibit any significant killing. Consistent with the changes in antibiotic susceptibility, UM001B was found to have reduced penetration of ampicillin and vancomycin and accumulation of tetracycline compared to the reference strain ATCC 29212. Based on whole-genome sequencing, four amino acid substitutions were identified in one of the tetracycline efflux pump repressors (TetRs), compared to ATCC 29212. Results of molecular simulations and experimental assays revealed that these mutations could lead to higher levels of tetracycline efflux activity. Consistently, replicating these mutations in Escherichia coli MG1655 increased its tolerance to tetracycline. Overall, these findings provide new insights into the development of multidrug tolerance in E. faecalis, which can facilitate future studies to better control enterococcal infections.IMPORTANCEEnterococcus faecalis represents a major group of pathogens causing nosocomial infections that are resistant to multiple classes of antibiotics. An important challenge associated with E. faecalis infection is the emergence of multidrug-tolerant strains, which have normal MICs but do not respond to antibiotic treatment. Here, we report a strain of E. faecalis that was isolated from a cystic fibrosis patient and demonstrated high-level tolerance to ampicillin, vancomycin, and tetracycline. Whole-genome sequencing revealed critical substitutions in one of the tetracycline efflux pump repressors that are consistent with the increased tolerance of E. faecalis UM001B to tetracycline. These findings provide new information about bacterial antibiotic tolerance and may help develop more effective therapeutics.
Project description:Genome-scale models represent the link between an organism's genetic information and experimentally observable biological phenotypes. They facilitate metabolic engineering and the discovery of network properties such as the identification of novel drug targets. Most commonly, metabolite consumption data is used to limit the solution space, sometimes in combination with gene expression data. However, information about gene expression only poorly correlates with the abundance of the respective proteins within the cell. As such, we developed a method to map and integrate the whole-cell proteome into genome-scale models on the example of lactic acid bacteria (LAB). To the best of our knowledge, this work represents the first effort to integrate proteome data into genome-scale models on such a scale .
