ArticleBMC systems biology2011
An experimentally-supported genome-scale metabolic network reconstruction for Yersinia pestis CO92.
Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Article
- Understanding flux switching in metabolic networks through an analysis of synthetic lethals.NPJ systems biology and applications · 2024Article
- Systematic analysis of microorganisms' metabolism for selective targeting.Scientific reports · 2024Article
- A validated pangenome-scale metabolic model for theMicrobial genomics · 2024Article
- Article
- Genome-scale metabolic modeling in antimicrobial pharmacology.Engineering microbiology · 2022Review
- Flux balance analysis of the ammonia-oxidizing bacterium Nitrosomonas europaea ATCC19718 unravels specific metabolic activities while degrading toxic compounds.PLoS computational biology · 2022Article
- Global connectivity in genome-scale metabolic networks revealed by comprehensive FBA-based pathway analysis.BMC microbiology · 2021Article
- Antibiotic resistance: Time of synthesis in a post-genomic age.Computational and structural biotechnology journal · 2021Review
- Providing new insights on the biphasic lifestyle of the predatory bacterium Bdellovibrio bacteriovorus through genome-scale metabolic modeling.PLoS computational biology · 2020Article
- Linking metabolic phenotypes to pathogenic traits among "Candidatus Liberibacter asiaticus" and its hosts.NPJ systems biology and applications · 2020Article
- Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.Frontiers in cell and developmental biology · 2020Review
- Crystal structure of UDP-glucose pyrophosphorylase from Yersinia pestis, a potential therapeutic target against plague.Acta crystallographica. Section F, Structural biology communications · 2019Article
- Systems Biology and Pangenome ofmBio · 2019Article
- Using genome-scale metabolic models to compare serovars of the foodborne pathogen Listeria monocytogenes.PloS one · 2018Article
- Network Analyses in Plant Pathogens.Frontiers in microbiology · 2018Review
- An integrated computational-experimental approach reveals Yersinia pestis genes essential across a narrow or a broad range of environmental conditions.BMC microbiology · 2017Article
- Analysis ofFrontiers in microbiology · 2017Article
- Systems biology-guided identification of synthetic lethal gene pairs and its potential use to discover antibiotic combinations.Scientific reports · 2015Article
- Investigation of Yersinia pestis Laboratory Adaptation through a Combined Genomics and Proteomics Approach.PloS one · 2015Article
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9 authors.
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Abstract
backgroundYersinia pestis is a gram-negative bacterium that causes plague, a disease linked historically to the Black Death in Europe during the Middle Ages and to several outbreaks during the modern era. Metabolism in Y. pestis displays remarkable flexibility and robustness, allowing the bacterium to proliferate in both warm-blooded mammalian hosts and cold-blooded insect vectors such as fleas.
resultsHere we report a genome-scale reconstruction and mathematical model of metabolism for Y. pestis CO92 and supporting experimental growth and metabolite measurements. The model contains 815 genes, 678 proteins, 963 unique metabolites and 1678 reactions, accurately simulates growth on a range of carbon sources both qualitatively and quantitatively, and identifies gaps in several key biosynthetic pathways and suggests how those gaps might be filled. Furthermore, our model presents hypotheses to explain certain known nutritional requirements characteristic of this strain.
conclusionsY. pestis continues to be a dangerous threat to human health during modern times. The Y. pestis genome-scale metabolic reconstruction presented here, which has been benchmarked against experimental data and correctly reproduces known phenotypes, provides an in silico platform with which to investigate the metabolism of this important human pathogen.
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