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|Title:||Analysis of Salmonella typhimurium pathways and metabolic model improvement|
|Author(s):||Sargo, Cíntia R .|
Correia, Daniela M.
Giordano, R. C.
Ferreira, E. C.
Silva, Adilson J.
Zangirolami, T. C.
|Citation:||Sargo, C. R.; Correia, Daniela M.; Giordano, R. C.; Ferreira, Eugénio C.; Rocha, Isabel; Silva, Adilson J.; Zangirolami, T. C., Analysis of Salmonella typhimurium pathways and metabolic model improvement. MPA2015 - Metabolic Pathway Analysis: Programme and Abstracts. No. MPA_59, Braga, Portugal, June 8-12, 46, 2015.|
|Abstract(s):||Live attenuated strains of Salmonella typhimurium have been extensively investigated as vaccines for several infectious diseases. However, a better knowledge of S. typhimurium metabolism is required to develop protocols to improve bioprocesses for the production of biotechnological products in large scale. Currently, genome scale metabolic models are important tools for better understanding the phenotypic behavior of many microorganisms. In this work, a genome-scale metabolic model reconstructed for S. typhimurium (STMv1.0 model) was used to determine the in silico fluxes distributions of end-products and to compare with in vivo data. Experimental data from glucose-limited chemostat at different dilution rates (0.1 to 0.67 h-1) with S. typhiumurium LT2 were compared with in silico simulations performed with Optflux 3.2.4 software, using the same environmental conditions (glucose and O2 experimental uptake fluxes). Salmonella cultures showed deviation of carbon towards acetate formation, starting at dilution rate above 0.1 h-1, with flux of 4.16 mmol acetate/(gDCW . h) at the higher dilution rate. Nevertheless, this model, which was based on E. coli model, overestimates the biomass production and, consequently, minimizes the fluxes of acetate. Thus, changes in metabolic model are required to improve its accuracy to predict the fermentation patterns observed experimentally, including changes in model equations related to P/O ratio and ATP yield. 13C Fluxomic analysis are being carried out to better understand the S. typhimurium central carbon metabolism and to improve the model predictions.|
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