Team:Paris Bettencourt/Semantic containment

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iGEM Paris Bettencourt 2012

Semantic containment

Contents

Overview

We want to prevent our genetic construct from conferring an advantage to other organisms. Horizontal gene transfer (HGT) can be performed either by conjugation, transduction, or transformation. As these processes involve two parties, our genetically modified bacteria and some wild type population, and as we will not modify wild type populations, we cannot assume that HGT is fully avoidable. Semantic containment [1] means that our bacteria won't be able to "speak" with other organisms, since they don't speak the same "language", the language being DNA. Our system will read the stop codon TAG as the amino-acid serine. It means that in our bacteria the stop codon will be translated into a serine, whereas in wild type bacteria this protein will be truncated and will not confer an advantage to these cells.

Semantic containment principle. The information carried by the DNA cannot be read by other organism

Semantic containment principle. The information carried by the DNA cannot be read by other organism

Objectives

Here we want to show that semantic containment works as expected. First we had to choose between two tRNA amber suppressor, either serine, or tyrosine. For that we calculate the abilities for the amber codon to reverse to a serine or tyrosine or related amino-acid that could conserve the function. Secondly we create a biobrick with a tRNA Amber suppressor ([http://partsregistry.org/Part:BBa_K914000 BBa_K914000]), in order to have a reliable biobrick, with characterization of it. Thirdly, to test the latter biobrick, we built the biobrick [http://partsregistry.org/Part:BBa_K914009 BBa_K914009], that contain an an amber codon instead of one of it serine amino-acid.

With more time we will try to increase the robustness of this system, which is null when the tRNA amber suppressor is transferred too. We will try to create a new library of plasmid backbones in the part registry, where all backbones have at least two amber mutations. The idea is that all the community will be able to improve this library, either by adding new contained backbones, or by adding amber mutations on the same backbone.

Design

Design1SC.png
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Experiments and results

Characterisation of X

Experimental setup

Describe the experiment

Results

Present your results

Testing of the system

Experimental setup

Describe the experiment

Results

Present your results

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