Project description:AbuOun2009 - Genome-scale metabolic network of Salmonella typhimurium (iMA945) This model is described in the article: Genome scale reconstruction of a Salmonella metabolic model: comparison of similarity and differences with a commensal Escherichia coli strain. AbuOun M, Suthers PF, Jones GI, Carter BR, Saunders MP, Maranas CD, Woodward MJ, Anjum MF. J. Biol. Chem. 2009 Oct; 284(43): 29480-29488 Abstract: Salmonella are closely related to commensal Escherichia coli but have gained virulence factors enabling them to behave as enteric pathogens. Less well studied are the similarities and differences that exist between the metabolic properties of these organisms that may contribute toward niche adaptation of Salmonella pathogens. To address this, we have constructed a genome scale Salmonella metabolic model (iMA945). The model comprises 945 open reading frames or genes, 1964 reactions, and 1036 metabolites. There was significant overlap with genes present in E. coli MG1655 model iAF1260. In silico growth predictions were simulated using the model on different carbon, nitrogen, phosphorous, and sulfur sources. These were compared with substrate utilization data gathered from high throughput phenotyping microarrays revealing good agreement. Of the compounds tested, the majority were utilizable by both Salmonella and E. coli. Nevertheless a number of differences were identified both between Salmonella and E. coli and also within the Salmonella strains included. These differences provide valuable insight into differences between a commensal and a closely related pathogen and within different pathogenic strains opening new avenues for future explorations. This model is hosted on BioModels Database and identified by: MODEL1507180009. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Thermomacidophilic archaea, such as Metallosphaera sedula, are lithoautotrophs that occupy metal-rich environments. In previous studies, a M. sedula mutant lacking the primary copper efflux transporter, CopA, became copper sensitive. In contrast, the basis for supra-normal copper resistance remained unclear in the spontaneous M. sedula mutant, CuR1. Here, transcriptomic analysis of copper-shocked cultures indicated that CuR1 had a unique regulatory response to metal challenge corresponding to up-regulation of 55 genes. Genome re-sequencing identified 17 confirmed mutations unique to CuR1 that were likely to change gene function. Of these, 12 mapped to genes with annotated function associated with transcription, metabolism or transport. These mutations included 7 non-synonymous substitutions, 4 insertions and 1 deletion. One of the insertion mutations mapped to pseudogene, Msed_1517, and extended its reading frame an additional 209 amino acids. The extended mutant allele was identified as a homolog of Pho4, a family of phosphate symporters that include the bacterial PitA proteins. Orthologs of this allele were apparent in related extremely thermoacidophilic species, suggesting M. sedula was naturally lacking this gene. Phosphate transport studies combined with physiologic analysis demonstrated M. sedula PitA was a low affinity high velocity secondary transporter implicated in copper resistance and arsenate sensitivity. Genetic analysis demonstrated spontaneous arsenate resistant mutants derived from CuR1 all underwent mutation in pitA and non-selectively became copper resistant. Taken together, these results point to archaeal PitA as a key requirement for the increased metal resistance of strain CuR1 and its accelerated capacity for copper bioleaching. The study comprises 5 samples, described in detail below. WT_CuR1: Differential transcriptional response of Metallosphaera sedula DSM 5348, WT, to the supra-normal copper resistant spontaneous Metallosphaera sedula mutant, CuR1 under normal growth conditions. This experiment was done to analyze the differential transcription of WT cells compared with CuR1 cells at mid log phase. WT-15_CuR1-15: Differential transcription of Metallosphaera cells under sub-inhibitory copper challenge (2.0 mM). This experiment was done to analyze the differential transcription of Metallosphaera sedula WT and CuR1 15 minutes post copper challenge. The copper cultures were harvested 15 minutes after the shock. WT-60_CuR1-60: Differential transcription of Metallosphaera cells under sub-inhibitory copper challenge (2.0 mM). This experiment was done to analyze the differential transcription of Metallosphaera sedula WT and CuR1 60 minutes post copper challenge. The copper cultures were harvested 60 minutes after the shock. WT-15_WT-60: Differential transcription of Metallosphaera cells under sub-inhibitory copper challenge (2.0 mM). This experiment was done to analyze the differential transcription of Metallosphaera sedula WT 15 and 60 minutes post copper challenge. The copper cultures were harvested 15 and 60 minutes after the shock, respectively. CuR1-15_CuR1-60: Differential transcription of Metallosphaera cells under sub-inhibitory copper challenge (2.0 mM). This experiment was done to analyze the differential transcription of Metallosphaera sedula CuR1 15 and 60 minutes post copper challenge. The copper cultures were harvested 15 and 60 minutes after the shock, respectively.

Project description:<p>Traveler's diarrhea (TD) is caused by enterotoxigenic Escherichia coli (ETEC), other pathogenic gram-negative pathogens, norovirus and some parasites. Nevertheless, standard diagnostic methods fail to identify pathogens in more than 30% of TD patients, so it is predicted that new pathogens or groups of pathogens may be causative agents of disease. A comprehensive metagenomic study of the fecal microbiomes from 23 TD patients and seven healthy travelers was performed, all of which tested negative for the known etiologic agents of TD in standard tests. Metagenomic reads were assembled and the resulting contigs were subjected to semi-manual binning to assemble independent genomes from metagenomic pools. Taxonomic and functional annotations were conducted to assist identification of putative pathogens. We extracted 560 draft genomes, 320 of which were complete enough to be enough characterized as cellular genomes and 160 of which were bacteriophage genomes. We made predictions of the etiology of disease in individual subjects based on the properties and features of the recovered cellular genomes. Three subtypes of samples were observed. First were four patients with low diversity metagenomes that were predominated by one or more pathogenic E. coli strains. Annotation allowed prediction of pathogenic type in most cases. Second, five patients were co-infected with E. coli and other members of the Enterobacteriaceae, including antibiotic resistant Enterobacter, Klebsiella, and Citrobacter. Finally, several samples contained genomes that represented dark matter. In one of these samples we identified a TM7 genome that phylogenetically clustered with a strain isolated from wastewater and carries genes encoding potential virulence factors. We also observed a very high proportion of bacteriophage reads in some samples. The relative abundance of phage was significantly higher in healthy travelers when compared to TD patients. Our results highlight that assembly-based analysis revealed that diarrhea is often polymicrobial and includes members of the Enterobacteriaceae not normally associated with TD and have implicated a new member of the TM7 phylum as a potential player in diarrheal disease. </p>

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Xanthomonadaceae

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