Team:Alberta/Project/Bioinformatics

From 2009.igem.org

(Difference between revisions)
 
(9 intermediate revisions not shown)
Line 26: Line 26:
     <div class="Outreach">
     <div class="Outreach">
     <div style="height: 400; background:#FFFFFF; colorou line-height:100% padding: 3px 0px;">
     <div style="height: 400; background:#FFFFFF; colorou line-height:100% padding: 3px 0px;">
-
     <h1>Genome Design</h1>
+
     <h1>Why a Minimal Genome?</h1>
<!-- <div align="justify" style="padding-left:20px; padding-right:20px"> -->
<!-- <div align="justify" style="padding-left:20px; padding-right:20px"> -->
<div align="justify">
<div align="justify">
-
<font size="2">
+
 
-
<P>One of the most useful applications of the BioBytes assembly method is involved in the production of entire genomes.  This brings the synthetic biology research community closer to one of its holy grails, the production of a viable synthetic organism.  For this reason the BioBytes team has attempted to create the tools and design principles which would be needed to produce a minimal genome.
+
<P>One of the most useful applications of the BioBytes assembly method is the production of entire genomes.  This brings the synthetic biology research community closer to one of its holy grails, the production of a viable synthetic minimal organism.  For this reason the BioBytes team has attempted to create the tools and design principles needed to produce a minimal genome.</P>
-
A minimal genome provides many benefits to the scientific community.  Genomes are extremely complex. Producing a minimal genome allows for a better understanding of the function and interaction of cellular components. This better understanding can lead to optimization of synthetic processes and provides a well characterized chassis for synthetic biology ultimately a model organism for the development of any synthetic genome. Moreover, a simplified cell can be used to study cellular processes in a controlled, characterized genetic background.  Due to complexity of producing a minimal genome, its development has been shortened into three sections:
+
 
 +
<P>
 +
A minimal genome provides many benefits to the scientific community.</P>
 +
 
 +
<ul>
 +
   
 +
<li>Genomes are extremely complex. Producing a minimal genome allows for a better understanding of the function and interaction of key cellular components needed for life.</li>
 +
<li>A minimal cell provides a chassis for future research with minimal intracellular inteferents.  This makes it the optimum research vector.
 +
 
 +
</ul>  
 +
 
 +
<h2>Genome Design</h2>
 +
<P>
 +
Due to complexity of producing a minimal genome, its development has been shortened into three sections:
<ul>
<ul>
<li>The selection of essential genes to be used in the genome
<li>The selection of essential genes to be used in the genome
<li>Building the genome via the BioBytes Assembly Method
<li>Building the genome via the BioBytes Assembly Method
<li>Using recombination to eliminate the original host chromosome and replace it with the minimal chromosome
<li>Using recombination to eliminate the original host chromosome and replace it with the minimal chromosome
-
</ul>
+
</ul></p>
-
For additional information on Bioinformatics please continue reading, to skip to information on recombination click on the Chromosome Assembly section.  The E. coli bacterium (strain MG1655) was chosen as the model organism for the production of this essential genome.  Although there many other organisms that have smaller genomes (E. coli contains over 4500 genes) Escherichia coli has been one of the most commonly used laboratory organisms and is very well understood.  This will make an E. coli minimal genome more useful to the scientific community than some other organism.
+
<p>
-
</P>
+
-
</font></div>
+
<h2>Why <i>E. coli</i>?</h2>
 +
The <i>E. coli</i> bacterium (strain MG1655) was chosen as the model organism for the production of our essential genome.  Although other organisms have smaller genomes (<i>E. coli</i> contains over 4500 genes) <i>Escherichia coli</i> is the most commonly used laboratory organism.  This means that it is one of the most widely studied and understood organisms.  This gives us the greatest success in producing a minimal genome, while simultaneously producing the most useful research vector for the scientific community.</P>
 +
 
 +
</div>
       </div></div>
       </div></div>
Line 61: Line 76:
<font size="2">
<font size="2">
-
<b> ''E. coli'' has over 4,500 genes.  The size and complexity of this genome makes it almost impossible to manually process.  An ''in silico'' approach allows for this complex data to be more easily collected, manipulated, and interpreted.  Bioinformatics has aided us in accomplishing the following:</b>
+
<p> <i>E. coli</i> has over 4,500 genes.  The size and complexity of this genome makes it almost impossible to manually process.  An ''in silico'' approach allows for this complex data to be more easily collected, manipulated, and interpreted.  Bioinformatics has aided us in accomplishing the following:</p>
<ul>
<ul>
<li>Review lists of essential genes in the literature and existing databases and compile a preliminary essential gene list </li>
<li>Review lists of essential genes in the literature and existing databases and compile a preliminary essential gene list </li>
-
<li>Model the metabolic reactions and net growth rate of ''E.coli'' with given gene sets. This identified additional metabolic genes essential to a minimal genome. </li>
+
<li>Model the metabolic reactions and net growth rate of <i>E. coli</i> with given gene sets. This identified additional metabolic genes essential to a minimal genome. </li>
<li>Identify knock out combinations that could be tested in the wet lab, to verify the accuracy of our metabolic model. </li>
<li>Identify knock out combinations that could be tested in the wet lab, to verify the accuracy of our metabolic model. </li>
<li>Select standardized promoters and terminators that would replace the natural promoters and terminators of essential genes. </li>
<li>Select standardized promoters and terminators that would replace the natural promoters and terminators of essential genes. </li>
Line 118: Line 133:
<font size="2">
<font size="2">
<P> In order to produce a preliminary genome list, various databases and papers were used.  These were determined through a variety of different experimental methods and have very limited overlap.  Each gene must was carefully considered and a gene list of 332 genes was produced.  Additionally, 29 genes were found to be essential for the RNA's.</P>
<P> In order to produce a preliminary genome list, various databases and papers were used.  These were determined through a variety of different experimental methods and have very limited overlap.  Each gene must was carefully considered and a gene list of 332 genes was produced.  Additionally, 29 genes were found to be essential for the RNA's.</P>
-
<p align=right>Click here for more...</p>
+
<p align=right><a href="https://2009.igem.org/Team:Alberta/Project/Gene_Selection"> Click here for more...</a>. </P>
     </td>
     </td>
   </tr>
   </tr>
Line 135: Line 150:
<font size="2">
<font size="2">
-
<p> To verify that all genes necessary for metabolism are included in our essential gene list, a computer model was used.  The Model was produced by the Palson group at the University of San Diego and was used in conjunction with the Cobra Toolbox developed by the System's Biology Research Group.  It provides a new "in silico" approach to identifying essential genes.  The results from the computational analysis suggests that many more genes are required in order to produce a viable minimal genome.  This added an additional 118 essential genes.  Together with the Literature Research, 450 genes were found to make up our essential gene list.  In order to accomplish this a series of programs were developed to be used with the Cobra Toolbox.  These programs allow for '''the determination of any organism's minimal metabolic network.'''  The results of the metabolic modeling is currently being researched in the wetlab to demonstrate its accuracy. See the Gene Selection tab for the final BioBytes list of essential genes, and the Modeling section for more information on how modeling was done.</p>
+
<p> To verify that all genes necessary for metabolism are included in our essential gene list, a computer model was used.  The Model was produced by the Palson group at the University of San Diego and was used in conjunction with the Cobra Toolbox developed by the System's Biology Research Group.  It provides a new "in silico" approach to identifying essential genes.  The results from the computational analysis suggests that many more genes are required in order to produce a viable minimal genome.  This added an additional 118 essential genes.  Together with the Literature Research, 450 genes were found to make up our essential gene list.  In order to accomplish this a series of programs were developed to be used with the Cobra Toolbox.  These programs allow for '''the determination of any organism's minimal metabolic network.'''  The results of the metabolic modeling is currently being researched in the wetlab to demonstrate its accuracy.</p>
-
 
+
<p align=right><p align=right><a href="https://2009.igem.org/Team:Alberta/Project/Modeling"> Click here for more...</a> </P>
</font></div>
</font></div>

Latest revision as of 07:09, 21 October 2009

University of Alberta - BioBytes










































































































Why a Minimal Genome?

One of the most useful applications of the BioBytes assembly method is the production of entire genomes. This brings the synthetic biology research community closer to one of its holy grails, the production of a viable synthetic minimal organism. For this reason the BioBytes team has attempted to create the tools and design principles needed to produce a minimal genome.

A minimal genome provides many benefits to the scientific community.

  • Genomes are extremely complex. Producing a minimal genome allows for a better understanding of the function and interaction of key cellular components needed for life.
  • A minimal cell provides a chassis for future research with minimal intracellular inteferents. This makes it the optimum research vector.

Genome Design

Due to complexity of producing a minimal genome, its development has been shortened into three sections:

  • The selection of essential genes to be used in the genome
  • Building the genome via the BioBytes Assembly Method
  • Using recombination to eliminate the original host chromosome and replace it with the minimal chromosome

Why E. coli?

The E. coli bacterium (strain MG1655) was chosen as the model organism for the production of our essential genome. Although other organisms have smaller genomes (E. coli contains over 4500 genes) Escherichia coli is the most commonly used laboratory organism. This means that it is one of the most widely studied and understood organisms. This gives us the greatest success in producing a minimal genome, while simultaneously producing the most useful research vector for the scientific community.

Determining Essential Genes

E. coli has over 4,500 genes. The size and complexity of this genome makes it almost impossible to manually process. An ''in silico'' approach allows for this complex data to be more easily collected, manipulated, and interpreted. Bioinformatics has aided us in accomplishing the following:

  • Review lists of essential genes in the literature and existing databases and compile a preliminary essential gene list
  • Model the metabolic reactions and net growth rate of E. coli with given gene sets. This identified additional metabolic genes essential to a minimal genome.
  • Identify knock out combinations that could be tested in the wet lab, to verify the accuracy of our metabolic model.
  • Select standardized promoters and terminators that would replace the natural promoters and terminators of essential genes.
  • Determine which promoter should be used with which gene, by analyzing expression level data.
  • Design primers to amplify all essential genes from genomic DNA.
These steps have all been completed, and are described on the following pages.

Gene Selection

In order to produce a preliminary genome list, various databases and papers were used. These were determined through a variety of different experimental methods and have very limited overlap. Each gene must was carefully considered and a gene list of 332 genes was produced. Additionally, 29 genes were found to be essential for the RNA's.

Click here for more....

Metabolic Modeling

To verify that all genes necessary for metabolism are included in our essential gene list, a computer model was used. The Model was produced by the Palson group at the University of San Diego and was used in conjunction with the Cobra Toolbox developed by the System's Biology Research Group. It provides a new "in silico" approach to identifying essential genes. The results from the computational analysis suggests that many more genes are required in order to produce a viable minimal genome. This added an additional 118 essential genes. Together with the Literature Research, 450 genes were found to make up our essential gene list. In order to accomplish this a series of programs were developed to be used with the Cobra Toolbox. These programs allow for '''the determination of any organism's minimal metabolic network.''' The results of the metabolic modeling is currently being researched in the wetlab to demonstrate its accuracy.

Click here for more...

Retrieved from "http://2009.igem.org/Team:Alberta/Project/Bioinformatics"