Metabolic engineering of Escherichia coli for the efficient conversion of glycerol to ethanol and the evaluation of Ethanol and 1,3- Propanediol in some native facultative anaerobes isolates

Cells have been employed as miniaturized chemical plants that produce various chemicals towards our benefits. However, the bio-based processes are generally inefficient due to the limited metabolic capacity of the cell towards the production of a desired product. One technique implemented to analyze microbial metabolic networks in metabolic engineering is known as Flux Balance Analysis (FBA). On the other hand, since glycerol has become an inexpensive abundant carbon source due to its generation as a by-product of biodiesel production, the developed processes to convert crude glycerol into higher-value products is imperative. In this work, we coupled to our experimental section a bi-level optimization platform based on genetic algorithms which determined the place where the gene over expressions should occur, finding five over expressions as those showing better performance of ethanol production. On another hand, usually, FBA is employed to study the metabolic flux at a particular steady state of the system. Recently, it has been noticed that the dynamics of these metabolic networks have to be studied. As a result, FBA has been extended in order to account for the network dynamics. Herein, an optimization framework was coupled to our experimental section, finding that even when the results were different from a quantitative perspective, they both indicated that an overexpression and/or repression of frdABDC and pflB display the highest ethanol concentration.

• Autores: Ramírez Angulo, Jessica Paola
• Fecha de publicación: 2011
• Institución: Universidad de los Andes
• Repositorio: Séneca: repositorio Uniandes
• Idioma: eng
• OAI Identifier: oai:repositorio.uniandes.edu.co:1992/11478
• Acceso en línea: http://hdl.handle.net/1992/11478
• Palabra clave: Ingeniería metabólica - Investigaciones; Escherichia Coli - Investigaciones; Metabolismo - Investigaciones; Ingeniería
• Rights: openAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/