Difference between revisions of "Team:Toulouse/Modeling"

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<p class="legend">Figure 2: Reaction catalyzed by PFL</p></center>
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<p class="legend">Figure 3: Metabolic network of all reactions involving formate happening in <i>E.coli</i></p></center>  
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<p class="legend">Figure 3: Metabolic network of all reactions involving formate in <i>E.coli</i></p></center>  
 
 
 
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Revision as of 16:21, 7 September 2015

iGEM Toulouse 2015

Modeling


Content


Metabolic networks

As said before, the aim of our project is to create a biological system able to produce two molecules: butyric acid and formic acid.
To achieve this, we need to modify the existing balance between the metabolic pathways present in E.Coli. Indeed, we want to optimize butyrate and formate productions in our bacterium by adjusting environmental conditions in order to obtain the desired concentrations of the associated acids. The following metabolic network represents all of the known metabolites and metabolic pathways for Escherichia coli K12 MG1655(best known model). It was obtained from KEGG database [1].
Our first step was to identify the pathways in which our molecules take part, in order to have a clear understanding of their role and effect.

Figure 1: Kegg Metabolic pathways - Escherichia coli K-12 MG1655

Formate network

Formate is naturally produced by E.coli but at a level that is quite low. Our project requires that Apicoli produces more. Hence we had to optimize its biosynthesis by studying the genes coding for the enzymes involved in the pathway. We decided to focus our efforts on the Pyruvate Formate Lyase (PFL), the enzyme that causes degradation of pyruvate, thus yielding formate.

Figure 2: PFL catalyzed reaction

The subnetwork presented below was obtained from MetExplore platform [2] and presents all reactions from the KEGG and ByoCyc databases involved in the production or consumption of formate. This map will help us predict the likely consequences of a PFL-induced formate overproduction in Apicoli.
In fact, formate is harmful to our bacterium and is normally metabolized to other products. We thus have to find the balance between producing enough formate to kill the varroa without killing Apicoli.

Figure 3: Metabolic network of all reactions involving formate in E.coli

Butyrate network

Flux Balance Analysis (FBA)

Presentation

To help ourselves creating Apicoli we modelised our system by using Flux Balance Analysis (FBA) and Flux Variability Analysis (FVA). We used the most recent described model for E.coli K12 MG1655, describing all metabolic pathways known and up to date. This XML file

Annexes

References


  • [1] KEGG Metabolic pathways - Escherichia coli K-12 MG1655
  • [2] Le Conte Y, Arnold G, Trouiller J, Masson C, Chappe B, Ourisson G. 1989. Attraction of the parasitic mite varroa to the drone larvae of honey bees by simple aliphatic esters. Science 245:638–639.
  • [3] Methods for attracting honey bee parasitic mites. [accessed 2015 Jul 24].
  • [4] Louis P, Flint HJ. 2009. Diversity, metabolism and microbial ecology of butyrate-producing bacteria from the human large intestine. FEMS Microbiol. Lett. 294:1–8.
  • [5] Atsumi S, Cann AF, Connor MR, Shen CR, Smith KM, Brynildsen MP, Chou KJY, Hanai T, Liao JC. 2008. Metabolic engineering of Escherichia coli for 1-butanol production. Metabolic Engineering 10:305–311.
  • [6] Wallace KK, Bao Z-Y, Dai H, Digate R, Schuler G, Speedie MK, Reynolds KA. 1995. Purification of Crotonyl-CoA Reductase from Streptomyces collinus and Cloning, Sequencing and Expression of the Corresponding Gene in Escherichia coli. European Journal of Biochemistry 233:954–962.