1 / 10

In silico design and adaptive evolution of Escherichia coli for production of lactic acid

In silico design and adaptive evolution of Escherichia coli for production of lactic acid. Presented by: Samantha Gonyea S.S. Fong, A.P. Burgard, C.D. Herring, E.M. Knight, F.R. Blattner, C.D. Maranas, & B.O. Palsson 2005. Biotechnology and Bioengineering 91: 643-648. C. E. A. B. D.

Télécharger la présentation

In silico design and adaptive evolution of Escherichia coli for production of lactic acid

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. In silico design and adaptive evolution of Escherichia coli for production of lactic acid Presented by: Samantha Gonyea S.S. Fong, A.P. Burgard, C.D. Herring, E.M. Knight, F.R. Blattner, C.D. Maranas, & B.O. Palsson 2005. Biotechnology and Bioengineering 91: 643-648.

  2. C E A B D What is metabolic engineering? • The manipulation of an organism for a specific purpose such as increases in certain metabolites • Often accomplished by deleting genes of interest to “force” the usage of a different metabolic pathway X X

  3. What was the project goal? • To develop an E. coli strain to produce lactate • How was this accomplished? • Using computer models • Experimentally testing strains www.igmors.u-psud.fr

  4. What were some hypotheses? • Computer models would help to determine the strain designs that would optimize growth and lactate production • E. coli would undergo adaptive evolution by finding alternate metabolic pathways • Lactate production rate would increase as growth rate increased

  5. What did the computer models tell us? • OptKnock algorithm solutions • Optimization of biomass formation and lactate secretion • iJE660 E. coli metabolism model used for three strain designs • All strains began with wild-type E. coli strain K12 MG1655 www.rowett.ac.uk

  6. Glucose glk F6P pfk PEP TCA Cycle Lactate Pyruvate ACCoA adhE pta Ethanol Acetate Metabolic Pathway of Lactate • pta-adhE strain X X

  7. Glucose glk F6P pfk PEP TCA Cycle Lactate Pyruvate ACCoA adhE pta Ethanol Acetate Metabolic Pathway of Lactate • pta-pfk strain X X

  8. Glucose glk F6P pfk PEP TCA Cycle Lactate Pyruvate ACCoA adhE pta Ethanol Acetate Metabolic Pathway of Lactate X • pta-adhE-pfk-glk strain X X X

  9. Results of Adaptive Evolution

  10. Results of Adaptive Evolution • The computer model predictions were successfully tested in vitro • Adaptive evolution can lead to an increase in a particular metabolite • Stable strains for production of metabolites can be achieved using these techniques www.rib.okayama-u.ac.jp

More Related