Abstract
Metabolic flux analysis provides a quantitative description of the degree of involvement of different pathways in cellular functionality. In this work, the metabolic flux distribution in Saccharomyces cerevisiae was evaluated to explaining low-yield of biomass and ethanol production. Furthermore, strain improvement alternatives for higher ethanol yield were proposed by means of an elementary mode analysis. Besides stoichiometric restrictions, experimental data were used as constraints for the solution of the LP problem. The corresponding flux distribution brought about indications on the fate of carbon through the entire metabolic system, after glucose uptake. The higher yield for product biosynthesis was acquired when the carbon flux was attenuated in the pentose phosphate pathway, thus compromising important biomass precursors. Reactions for glucose uptake and the synthesis of glycolytic intermediate metabolites were essential for both, biomass and product biosynthesis. This combined computational and experimental approach rendered reliable hypothesis prone to be experimentally tested.
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References
Huimin Zhanga, S.Y., Shimizua, K.: Metabolic flux analysis of Saccharomyces cerevisiae grown on glucose, glycerol or acetate. Biochemical and Biophysical Research Communications 16, 211–220 (2003)
Raman, K., Chandra, N.: Flux balance analysis of biological systems: applications and challenges. Briefings in Bioinformatics 10(4), 435–449 (2009)
Simpson, T.W., Follstad, B.D., Stephanopoulos, G.: Analysis of the pathway structure of metabolic networks. Journal of Biotechnology 71(1-3), 207–223 (1999)
Klamt, S., Saez-rodriguez, J., Gilles, E.D.: Structural and functional analysis of cellular networks with CellNetAnalyzer. BMC Systems Biology 13, 1–13 (2007)
Schuster, S., Dandekar, T., Fell, D.A.: Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. Trends in Bio-technology 17, 53–60 (1999)
Hädicke, O., Klamt, S.: CASOP: a computational approach for strain optimization aiming at high productivity. Journal of Biotechnology 147(2), 88–101 (2010)
Nissen, T.L., Schulze, U., Nielsen, J., Villadsen, J.: Flux distributions in anaerobic, glucose-limited continuous cultures of Saccharomyces cerevisiae. Microbiology (Reading, England) 143(1), 203–218 (1997)
Fermentis-dry yeast for beer, ethanol, wine and spirits. Ethanol Red. (2012), http://www.fermentis.com (accessed: April 09, 2013)
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© 2014 Springer International Publishing Switzerland
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Toro, L., Pinilla, L., Quintero, J.C., Rios, R. (2014). Flux Balance Analysis and Strain Optimization for Ethanol Production in Saccharomyces cerevisiae . In: Castillo, L., Cristancho, M., Isaza, G., Pinzón, A., Rodríguez, J. (eds) Advances in Computational Biology. Advances in Intelligent Systems and Computing, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-01568-2_26
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DOI: https://doi.org/10.1007/978-3-319-01568-2_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01567-5
Online ISBN: 978-3-319-01568-2
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