Difference between revisions of "Team:Tartu TUIT/Model"

Line 1: Line 1:
 
{{Tartu_TUIT}}
 
{{Tartu_TUIT}}
 +
{{Tartu_TUIT_project}}
 
<html>
 
<html>
 +
<body>
 +
   
  
 +
<div class="container">
  
 +
<div class="row project-results-header pdn-top">
 +
        Modelling
 +
      </div>
  
 +
      <div class="row pdn-bottom-md">
 +
<div class="col-xs-10 col-xs-offset-1 text-center">
 +
<div class="block-text">
 +
            The goal of our modelling was to define the ethylene yield we would get from a certain amount of sucrose. For this we used the SimBiology toolbox provided by Mathworks for iGEM teams. Below you can see the diagram made in SimBiology using the common drag-and-drop mode:
 +
</div>
 +
</div>
 +
</div>
  
<div class="column full_size">
+
<div class="row pdn-bottom-md">
<h1> Modeling</h1>
+
<div class="col-xs-10 col-xs-offset-1 text-center">
 +
<img class="block-img" src="https://static.igem.org/mediawiki/2017/b/bb/Prpject_modelling_pic_1.png"/>
 +
</div>
 +
      </div>
  
<p>Mathematical models and computer simulations provide a great way to describe the function and operation of BioBrick Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab. This award is for teams who build a model of their system and use it to inform system design or simulate expected behavior in conjunction with experiments in the wetlab.</p>
+
<div class="row pdn-bottom-lg">
 +
<div class="col-xs-10 col-xs-offset-1">
 +
<div class="block-text">
 +
As our project idea is to split functions between two yeast strains so as to reduce metabolic burden, it’s only logical to model two different compartments, referred to in the above graph as strainA and strainB. Unfortunately, due to time constraints, we weren’t successful in fully modelling the whole glycolysis and TCA (tricarboxylic acid) cycle pathways, here each illustrated as only one reaction. For this reason, our result may not be as accurate as we’d like it to be.
 +
Most of the enzyme kinetic constants were taken from the BRENDA website.
 +
</div>
 +
</div>
 +
</div>
  
</div>
+
<div class="row pdn-bottom-md">
<div class="clear"></div>
+
<div class="col-xs-10 col-xs-offset-1 text-center">
 +
<div class="project-results-img-notation pdn-bottom-sm">
 +
The following ODEs were calculated after providing the kinetic laws for each reaction in the SimBiology model:
 +
</div>
 +
<img class="block-img" src="https://static.igem.org/mediawiki/2017/b/bb/Prpject_modelling_pic_1.png"/>
 +
</div>
 +
      </div>
  
<div class="column half_size">
+
<div class="row pdn-bottom-lg">
<h3> Gold Medal Criterion #3</h3>
+
<div class="col-xs-10 col-xs-offset-1">
<p>
+
<div class="block-text">
To complete for the gold medal criterion #3, please describe your work on this page and fill out the description on your <a href="https://2017.igem.org/Judging/Judging_Form">judging form</a>. To achieve this medal criterion, you must convince the judges that your team has gained insight into your project from modeling. You may not convince the judges if your model does not have an effect on your project design or implementation.
+
First we simulated a batch mode of cultivation without air supply (Figure 1) and, even though our model does not seems to comply with reality (arginine concentration reaching 0 mol/L), we could infer that: (1) by feeding glutamate (arginine precursor) would not only increase the availability of arginine itself, but also possibly increase the 2-oxoglutarate for the ethylene production; (2) provide a constant air supply as oxygen levels drops over time; and (3) as apparently the glucose and fructose do not reach high concentrations (are readily consumed by strain A) and as Saccharomyces cerevisiae is a Crabtree positive organism, which could hinder ethanol production. Therefore, we decided to base our model on a fed-batch or chemostat bioreactor cultivation, providing constant supplies of glutamate, oxygen, and sucrose (Figure 2).
</p>
+
</div>
 +
</div>
 +
</div>
  
<p>
+
<div class="row pdn-bottom-md">
Please see the <a href="https://2017.igem.org/Judging/Medals"> 2017 Medals Page</a> for more information.  
+
<div class="col-xs-10 col-xs-offset-1 text-center">
</p>
+
<img class="block-img" src="https://static.igem.org/mediawiki/2017/3/33/Project_modelling_pic_4.png"/>
</div>
+
<div class="project-results-img-notation pdn-bottom-sm">
 +
Figure 1. Simulation using a batch cultivation model
 +
</div>
 +
<img class="block-img pdn-top-md" src="https://static.igem.org/mediawiki/2017/0/0a/Project_modelling_pic_5.png"/>
 +
<div class="project-results-img-notation pdn-bottom-sm">
 +
Figure 2. Simulation using a fed-batch chemostat bioreactor cultivation model
 +
</div>
 +
</div>
 +
      </div>
  
<div class="column half_size">
+
<div class="row pdn-bottom-lg">
<h3>Best Model Special Prize</h3>
+
<div class="col-xs-10 col-xs-offset-1">
 
+
<div class="block-text">
<p>
+
After doing so, our ethylene production was markedly improved (Figure 2). Connecting this result to our lab work we have concluded that ethylene yield would be increased by using chemostat bioreactor cultivation.
To compete for the <a href="https://2017.igem.org/Judging/Awards">Best Model prize</a>, please describe your work on this page  and also fill out the description on the <a href="https://2017.igem.org/Judging/Judging_Form">judging form</a>. Please note you can compete for both the gold medal criterion #3 and the best model prize with this page.  
+
</div>
<br><br>
+
</div>
You must also delete the message box on the top of this page to be eligible for the Best Model Prize.
+
</div>
</p>
+
  
 
</div>
 
</div>
<div class="clear"></div>
+
</body>
 +
</html>
  
<div class="column full_size">
+
{{Tartu_TUIT_footer}}
<h5> Inspiration </h5>
+
<p>
+
Here are a few examples from previous teams:
+
</p>
+
<ul>
+
<li><a href="https://2016.igem.org/Team:Manchester/Model">Manchester 2016</a></li>
+
<li><a href="https://2016.igem.org/Team:TU_Delft/Model">TU Delft 2016  </li>
+
<li><a href="https://2014.igem.org/Team:ETH_Zurich/modeling/overview">ETH Zurich 2014</a></li>
+
<li><a href="https://2014.igem.org/Team:Waterloo/Math_Book">Waterloo 2014</a></li>
+
</ul>
+
 
+
 
+
</div>
+
 
+
</html>
+

Revision as of 10:25, 31 October 2017

Project: Yeasthylene
The demand on ethylene has only been increasing during the last decade. It is used as an essential building block in many chemical compounds.The main aim of our project is to find an alternative and biological way of producing ethylene. That is why we have decided to genetically engineer yeast cells to produce ethylene from sucrose.
Modelling
The goal of our modelling was to define the ethylene yield we would get from a certain amount of sucrose. For this we used the SimBiology toolbox provided by Mathworks for iGEM teams. Below you can see the diagram made in SimBiology using the common drag-and-drop mode:
As our project idea is to split functions between two yeast strains so as to reduce metabolic burden, it’s only logical to model two different compartments, referred to in the above graph as strainA and strainB. Unfortunately, due to time constraints, we weren’t successful in fully modelling the whole glycolysis and TCA (tricarboxylic acid) cycle pathways, here each illustrated as only one reaction. For this reason, our result may not be as accurate as we’d like it to be. Most of the enzyme kinetic constants were taken from the BRENDA website.
The following ODEs were calculated after providing the kinetic laws for each reaction in the SimBiology model:
First we simulated a batch mode of cultivation without air supply (Figure 1) and, even though our model does not seems to comply with reality (arginine concentration reaching 0 mol/L), we could infer that: (1) by feeding glutamate (arginine precursor) would not only increase the availability of arginine itself, but also possibly increase the 2-oxoglutarate for the ethylene production; (2) provide a constant air supply as oxygen levels drops over time; and (3) as apparently the glucose and fructose do not reach high concentrations (are readily consumed by strain A) and as Saccharomyces cerevisiae is a Crabtree positive organism, which could hinder ethanol production. Therefore, we decided to base our model on a fed-batch or chemostat bioreactor cultivation, providing constant supplies of glutamate, oxygen, and sucrose (Figure 2).
Figure 1. Simulation using a batch cultivation model
Figure 2. Simulation using a fed-batch chemostat bioreactor cultivation model
After doing so, our ethylene production was markedly improved (Figure 2). Connecting this result to our lab work we have concluded that ethylene yield would be increased by using chemostat bioreactor cultivation.