Project description:Untargeted metabolomics dataset for the paper "Metabolic mutations induce antibiotic resistance by pathway-specific bottlenecks "
These are the raw files for metabolites of all 41 isolates in Figure 4b of the paper.
Project description:Compilation of the targeted metabolomics data present in the associated paper: Metabolic mutations induce antibiotic resistance by pathway-specific bottlenecks.
See "File names association" table in "supplementary files" to link file names with paper figures.
Project description:Untargeted metabolomics dataset for the paper "Metabolic mutations induce antibiotic resistance by pathway-specific bottlenecks "
These are the raw files for metabolites of all 41 isolates in Figure 4b of the paper.
Project description:Compilation of the targeted metabolomics data present in the associated paper: Metabolic mutations induce antibiotic resistance by pathway-specific bottlenecks.
See "File names association" table in "supplementary files" to link file names with paper figures.
Project description:The human pathogenic bacterium Listeria monocytogenes was exposed to antibiotics both during clinical treatment and as a saprophyte. As one of the keys to successful treatment is continued antibiotic sensitivity, the purpose of this study was to determine if exposure to sublethal antibiotic concentrations would affect the bacterial physiology and potentially induce tolerance to antibiotics. Transcriptomic analyses demonstrated that each of four antibiotics caused a compound-specific gene expression pattern related to (the) mode-of-action of the particular antibiotic. All four antibiotics caused the same changes in expression of several metabolic genes indicating a shift from aerobic to anaerobic metabolism driven by the induction of lmo1634 and the repression of alsA and lmo1992. This shift in metabolism could be a survival strategy in response to antibiotics and is further supported by the observation that a Îlmo1634 mutant was more sensitive to bactericidal antibiotics. The monocin locus encoding a cryptic prophage was induced by co-trimoxazole and repressed by ampicillin and gentamicin. This expression pattern correlated with the observed antibiotic-dependent biofilm formation, indicating a role of monocin in antibiotic-induced biofilm formation and a ÎlmaDCBA mutant confirmed this correlation. Thus, sublethal concentrations of antibiotics caused metabolic and physiological changes indicating that the organism is preparing to withstand lethal concentrations of antibiotics. Investigation of mRNA and sRNA expression profiles of L. monocytogenes EGD cells exposed to sublethal concentrations of four different antibiotics i.e. ampicillin, tetracycline, gentamicin and co-trimoxazole for 3h.
Project description:The human pathogenic bacterium Listeria monocytogenes was exposed to antibiotics both during clinical treatment and as a saprophyte. As one of the keys to successful treatment is continued antibiotic sensitivity, the purpose of this study was to determine if exposure to sublethal antibiotic concentrations would affect the bacterial physiology and potentially induce tolerance to antibiotics. Transcriptomic analyses demonstrated that each of four antibiotics caused a compound-specific gene expression pattern related to (the) mode-of-action of the particular antibiotic. All four antibiotics caused the same changes in expression of several metabolic genes indicating a shift from aerobic to anaerobic metabolism driven by the induction of lmo1634 and the repression of alsA and lmo1992. This shift in metabolism could be a survival strategy in response to antibiotics and is further supported by the observation that a Δlmo1634 mutant was more sensitive to bactericidal antibiotics. The monocin locus encoding a cryptic prophage was induced by co-trimoxazole and repressed by ampicillin and gentamicin. This expression pattern correlated with the observed antibiotic-dependent biofilm formation, indicating a role of monocin in antibiotic-induced biofilm formation and a ΔlmaDCBA mutant confirmed this correlation. Thus, sublethal concentrations of antibiotics caused metabolic and physiological changes indicating that the organism is preparing to withstand lethal concentrations of antibiotics.
Project description:This study develops a pipeline for high-level production of the reverse antibiotic nybomycin from three seaweed species: Himanthalia elongata, Palmaria palmata, and Ulva lactuca. Screening Streptomyces strains identified S. explomaris, a marine species, as the best host to express the nybomycin gene cluster. The accumulated low yields in artificial seawater with brown seaweed hydrolysate. Gene expression analysis revealed downregulation of precursor supply pathways and upregulation of repressors, limiting biosynthesis. Metabolic engineering addressed these bottlenecks, leading to a superior S. explomaris mutant achieving 57 mg/L, a five-fold increase as compared to reported yields. The strain effectively valorized commercial seaweed hydrolysates, highlighting marine feedstocks' potential for antibiotic production.