IGEM:UNAM/2008/TuringPatterns

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(New page: Back to main page ==Introduction== We are trying to artificially reproduce Turing patterns; a kind of patterns that could be generated from a homogeneous media, that ha...)
Current revision (14:23, 12 August 2008) (view source)
(Turing patterns project introduction update)
 
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[[IGEM:UNAM/2008| Back to main page]]
[[IGEM:UNAM/2008| Back to main page]]
==Introduction==
==Introduction==
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We are trying to artificially reproduce Turing patterns; a kind of patterns that could be generated from a homogeneous media, that have been studied extensively, reproduced chemically and that are thought to have an important role in some process of morphogenesis.  
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Apparently some naturally occurring patterns seem to match and resemble Turing patterns, such as those seen in the organization of trychomes in Arabidopsis thaliana’s leafs or the jaguar spots, yet it’s still controversial whether or not they are actually Turing patterns as the underlying genetic network is not completely understood.  
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While we could analyze variation in naturally occurring patterns and dwell into the genetics of an organism (basically, hammering the organism by knocking out genes), there is a different approach to the problem. Building synthetic networks that produce patterns in organisms that previously didn’t have them might to be an insightful and refreshing alternative.  
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We are trying to reproduce Turing patterns using a genetic network. These spatial structures could in principle be generated by perturbing equilibrium configurations by the action of diffusion. They have been extensively studied and reproduced in the context of chemical reactions. In biological systems  they are thought to play an important role in some morphogenetic processes.  
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Some spatial and temporal structures seem to match and resemble those predicted by Turing, such as the ones observed in the organization of trychomes and trychoblasts in Arabidopsis thaliana’s leafs or root as well as in coloring patterns in plants and animals. Yet it is still controversial whether they are actually Turing patterns, since the underlying genetic network is not completely understood.  
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Although many mathematical models have been built based on these ideas in order to reproduce what is observed in biological systems, the identification of the actual substances that create the patterns (morphogenes) is still not clear.
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We propose a different approach, namely, to implement a genetic network of the activator-inhibitor type in order to recover Turing patterns in bacterial colonies. We believe that the standard diffusion might be substituted by other effective intercellular communication mechanisms. If successful, our construction will allow us to introduce the notion of “effective morphogenes”.
==Brainstorming==
==Brainstorming==

Current revision

Back to main page

Introduction

We are trying to reproduce Turing patterns using a genetic network. These spatial structures could in principle be generated by perturbing equilibrium configurations by the action of diffusion. They have been extensively studied and reproduced in the context of chemical reactions. In biological systems they are thought to play an important role in some morphogenetic processes.

Some spatial and temporal structures seem to match and resemble those predicted by Turing, such as the ones observed in the organization of trychomes and trychoblasts in Arabidopsis thaliana’s leafs or root as well as in coloring patterns in plants and animals. Yet it is still controversial whether they are actually Turing patterns, since the underlying genetic network is not completely understood.

Although many mathematical models have been built based on these ideas in order to reproduce what is observed in biological systems, the identification of the actual substances that create the patterns (morphogenes) is still not clear. We propose a different approach, namely, to implement a genetic network of the activator-inhibitor type in order to recover Turing patterns in bacterial colonies. We believe that the standard diffusion might be substituted by other effective intercellular communication mechanisms. If successful, our construction will allow us to introduce the notion of “effective morphogenes”.

Brainstorming

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