Team:Valencia Biocampus/Modeling

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== Chemotaxis ==
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== <i>C. elegans</i> behaviour ==
In the first place, we model <i>C. elegans</i> behaviour in the absence of chemoattractant and bacteria. When no chemotactic source is present, <i>C. elegans</i> moves randomly. This behaviour can be modeled as a random walk (Berg,1993) and can be simulated in several steps using a programming language, such as <i>Matlab</i>. The equations of this model are the following:
In the first place, we model <i>C. elegans</i> behaviour in the absence of chemoattractant and bacteria. When no chemotactic source is present, <i>C. elegans</i> moves randomly. This behaviour can be modeled as a random walk (Berg,1993) and can be simulated in several steps using a programming language, such as <i>Matlab</i>. The equations of this model are the following:
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== Chemotaxis of a worm ==
<br>However, we are interested in the movement of the nematode in a gradient of a chemoattractant. In presence of a chemotactic source,<i>C. elegans</i> moves in a similiar fashion as <i>E. coli</i> (Bangmann, 2006), a mechanism called <i>the pirouette model</i> (Pierce-Shimomura <i>et al.</i>, 1999). Following this model, we defined the pirouette initiation rate as a function of <i>dC/dt</i>. Simulations were performed, showing a bias in the random walk, as expected:
<br>However, we are interested in the movement of the nematode in a gradient of a chemoattractant. In presence of a chemotactic source,<i>C. elegans</i> moves in a similiar fashion as <i>E. coli</i> (Bangmann, 2006), a mechanism called <i>the pirouette model</i> (Pierce-Shimomura <i>et al.</i>, 1999). Following this model, we defined the pirouette initiation rate as a function of <i>dC/dt</i>. Simulations were performed, showing a bias in the random walk, as expected:
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Revision as of 18:36, 13 August 2013

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Modeling

The main goal in our modelling project is to accurately predict the behaviour of our system in several issues, from the mounting of bacteria on C. elegans to the performance of our worms reaching the place of interest. In order to do that, we use several modeling techniques.

The movement of C. elegans in the presence of a chemoattractant in order to carry our bacteria to that source is the main issue of our project, so we consider modeling this aspect and employing it as scaffold for the whole modeling project. Several layers show up that it must be modeled in different ways. In our approach, we mathematically describe each layer, from the simplest to the most complex, integrating each one.

Biobricks modeling

Modeling of the biobricks performance

C. elegans behaviour

In the first place, we model C. elegans behaviour in the absence of chemoattractant and bacteria. When no chemotactic source is present, C. elegans moves randomly. This behaviour can be modeled as a random walk (Berg,1993) and can be simulated in several steps using a programming language, such as Matlab. The equations of this model are the following:

Add equations

Simulations were performed in Matlab, proceeding as described in (Pierce-Shimomura et al., 1999). We developed our own script based on the article, obtaining similar results.

Add simulations

Chemotaxis of a worm


However, we are interested in the movement of the nematode in a gradient of a chemoattractant. In presence of a chemotactic source,C. elegans moves in a similiar fashion as E. coli (Bangmann, 2006), a mechanism called the pirouette model (Pierce-Shimomura et al., 1999). Following this model, we defined the pirouette initiation rate as a function of dC/dt. Simulations were performed, showing a bias in the random walk, as expected:

Add simulations



Bangmann CI (2006) Chemosensation in C. elegans. Wormbook
Berg HC (1993) Random walks in biology. Princeton, NJ: Princeton UP.
Pierce-Shimomura JT, Morse TM, Lockery SR (1999) The Fundamental Role of Pirouettes in C. elegans Chemotaxis. The journal of Neuroscience, 19(21):9557-9569

Group behaviour

System performance