Team:Alberta/Project/Bioinformatics

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     <h1>Why build a minimal genome?</h1>
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     <h1>Why a Minimal Genome?</h1>
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<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>
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 +
<P>
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A minimal genome provides many benefits to the scientific community.</P>
 +
 
 +
<ul>
 +
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<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>
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<li>A minimal cell provides a chassis for future research with minimal intracellular inteferents.  This makes it the optimum research vector.
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 +
</ul> 
 +
 
 +
<h2>Genome Design</h2>
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<P>
 +
Due to complexity of producing a minimal genome, its development has been shortened into three sections:
 +
<ul>
 +
<li>The selection of essential genes to be used in the genome
 +
<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
 +
</ul></p>
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<p>
 +
 
 +
<h2>Why <i>E. coli</i>?</h2>
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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>
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    <div class="Why We Need Bioinformatics">
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    <h1>Determining Essential Genes</h1>
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<P>Genomes are complex! Determining how simplified a genome can become enriches our understanding the function and interactions of cellular components. Simplified cells can be used as a well characterized chasses for synthetic biology. Moreover, a simplified cell can be used to study cellular processes in a controlled, characterized genetic background. Finally, developing a minimal genome requires us to develop and optimize molecular methods of genome assembly. These methods can be then applied to other high through put biology. </P>
 
 +
<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>
 +
<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 <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>Select standardized promoters and terminators that would replace the natural promoters and terminators of essential genes. </li>
 +
<li>Determine which promoter should be used with which gene, by analyzing expression level data. </li>
 +
<li>Design primers to amplify all essential genes from genomic DNA. </li>
 +
</ul>
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<b> These steps have all been completed, and are described on the following pages.  </b>
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     <h1>Presentations</h1>
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     <h1>Gene Selection</h1>
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<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>
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<p align=right><a href="https://2009.igem.org/Team:Alberta/Project/Gene_Selection"> Click here for more...</a>. </P>
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    <h1>Metabolic Modeling</h1>
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<P> The size and complexity of the genome make bioinformatics analysis essential. We used bioinformatics to accomplish the following: </P>
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<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>
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<p align=right><p align=right><a href="https://2009.igem.org/Team:Alberta/Project/Modeling"> Click here for more...</a> </P>
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</font></div>
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<P> - review lists of essential genes in the literature and existing databases and compile a preliminary essential gene list </P>
+
      </div></div>
-
<P> - 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. </P>
+
<b class="b4f"></b><b class="b3f"></b><b class="b2f"></b><b class="b1f"></b>
-
<P> - identify knock out combinations that could be tested in the wet lab, to verify the accuracy of our metabolic model. </P>
+
    </td>
-
<P> - select standardized promoters and terminators that would replace the natural promoters and terminators of essential genes. </P>
+
  </tr>
-
<P> - determine which promoter should be used with which gene, by analyzing expression level data. </P>
+
-
<P> - design primers to amplify all essential genes from genomic DNA. </P>
+
-
<P> These steps have all been completed, and are described on the following pages. </P>
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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...

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