ArticleThe Journal of biological chemistry2009
Genome scale reconstruction of a Salmonella metabolic model: comparison of similarity and differences with a commensal Escherichia coli strain.
Article in The Journal of biological chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Screening of exogenous nutrients for pathogenic bacteria and development of highly active bactericides.mSystems · 2026Article
- The renaissance ofFrontiers in immunology · 2026Review
- The EcoCyc database (2025).EcoSal Plus · 2025Review
- The EcoCyc Database (2023).EcoSal Plus · 2023Review
- A self-propagating, barcoded transposon system for the dynamic rewiring of genomic networks.Molecular systems biology · 2023Article
- Dual transcriptome based reconstruction of Salmonella-human integrated metabolic network to screen potential drug targets.PloS one · 2022Article
- Dual transcriptomic analysis reveals metabolic changes associated with differential persistence of human pathogenic bacteria in leaves of Arabidopsis and lettuce.G3 (Bethesda, Md.) · 2021Article
- Investigation of the Genes Involved in the Outbreaks ofAntibiotics (Basel, Switzerland) · 2021Article
- The functional repertoire contained within the native microbiota of the model nematode Caenorhabditis elegans.The ISME journal · 2020Article
- Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.Frontiers in cell and developmental biology · 2020Review
- The EcoCyc Database.EcoSal Plus · 2018Review
- An enormous potential for niche construction through bacterial cross-feeding in a homogeneous environment.PLoS computational biology · 2018Article
- Using genome-scale metabolic models to compare serovars of the foodborne pathogen Listeria monocytogenes.PloS one · 2018Article
- A Constraint-Based Model Analysis of Enterocyte Mitochondrial Adaptation to Dietary Interventions of Lipid Type and Lipid Load.Frontiers in physiology · 2018Article
- The Response to 2-Aminoacrylate Differs in Escherichia coli and Salmonella enterica, despite Shared Metabolic Components.Journal of bacteriology · 2017Article
- PSAMM: A Portable System for the Analysis of Metabolic Models.PLoS computational biology · 2016Article
- Engineering an allosteric transcription factor to respond to new ligands.Nature methods · 2016Article
- Temperature and oxygen dependent metabolite utilization by Salmonella enterica serovars Derby and Mbandaka.PloS one · 2015Article
- A genome-scale metabolic flux model of Escherichia coli K-12 derived from the EcoCyc database.BMC systems biology · 2014Article
- The EcoCyc Database.EcoSal Plus · 2014Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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