Team:Evry/Auxin diffusion
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<h2>Overview</h2> | <h2>Overview</h2> | ||
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- | Using PDE instead of ODE allows one to take into account the space dimensions. Where in the ODE model, the concentration of auxin in a compartment was considered homogeneous, here we can represent the variations in concentration in each compartment.We are then able to estimate delays between arrival in one end of a compartement and exit from the other end. When taking into account the space dimensions, new problems arise: finding a coherent geometry, 2D vs 3D model, precision, etc. We chose to model a slice of a tadpole's tail based on images | + | Using PDE instead of ODE allows one to take into account the space dimensions. Where in the ODE model, the concentration of auxin in a compartment was considered homogeneous, here we can represent the variations in concentration in each compartment.We are then able to estimate delays between arrival in one end of a compartement and exit from the other end. When taking into account the space dimensions, new problems arise: finding a coherent geometry, 2D vs 3D model, precision, etc. We chose to model a slice of a tadpole's tail based on images. Adding multiple slices one after the other allows us to approach a 3 dimensions model. |
<h2>Assumptions</h2> | <h2>Assumptions</h2> |
Revision as of 03:59, 27 September 2012
Model using Partial Differential Equations(PDE)
Overview
Using PDE instead of ODE allows one to take into account the space dimensions. Where in the ODE model, the concentration of auxin in a compartment was considered homogeneous, here we can represent the variations in concentration in each compartment.We are then able to estimate delays between arrival in one end of a compartement and exit from the other end. When taking into account the space dimensions, new problems arise: finding a coherent geometry, 2D vs 3D model, precision, etc. We chose to model a slice of a tadpole's tail based on images. Adding multiple slices one after the other allows us to approach a 3 dimensions model.
Assumptions
- The quantity of auxins is homogeneous in blood
- Movement of auxins in skin isn't dependent on where the skin is; it is the same in skin around the head and in the one surrounding the tail.
Model description
The PDE model is similar to the ODE one except that it takes into account the geometry. This allows us to model more complex phenomenon such as diffusion and transport.
Equations
The diffusion equation is used to model the repartition of auxin's molecule when not subject to any flow (in the skin for example).
The equation is states as follows:
where:
- x = (x1, x2) is a 2 dimensional vector
- c is a function representing the auxin concentration
- D is the diffusion constant
- Δ is the Laplacian operator
Geometry
To keep the complexity of the numerical simulations low, we had to simplify the considered geometry. Hence, the slide of tadpole only contains the following elements:
- Skin
- Blood vessels or muscles (depending on the model)
- Notochord
- Spinal cord
- Aorta
- Veins: caudal and dorsal
As seen on the picture above, the geometry is composed of very elementary shapes: circles and ellipses. Note that in the model, the shapes and positions of the different areas can be modified. In fact their are no really fixed geometry because it varies from tadpoles to tadpoles.
Limit conditions
null Neumann condition
We consider in this model the tadpole as a closed system: no exchanges are allowed between the external medium and the skin. This hypothesis is modelized by using the neumann boundary condition with a value of 0:
This condition is also found at these other boundaries:
- blood <-> notochord
- blood <-> spinal cord
Exchange between different tissues
For the exchanges between other compartments, we use the same Neumann condition but modify the value of the right hand term.
This values is now computed depending on the neighbors that do not belong to the same tissue.
where:
- Px <-> y is the permeability between compartments x and y
- neighbors is a function computing the 4-connexity neighborhood of a point
Parameters
Description
Symbol
Type
Values
Permeabilities
P
calculated
here
Diffusion constants
D
calculated
here
Volumes
V
calculated
here
Degradation rate
Ddie
estimated
unknown
Creation rate
Dborn
computed
plasmid repartition model
Results
The program implemented on Netlogo gives us the folowing results:
The coloration of every patch of skin and capillaries is proportional to its concentration in auxin. We can see here the diffusion process from the skin to the vessels. The on the top right corner reflets the variation of the quantity of auxin in skin. We can see that this variation corresponds to the results of the ODE model for the same initial conditions (0 concentration in water that is surrounding the tadpole and non-zero quantity of auxin in skin.
Conclusion
This model has the qualitatively the same results as the ODE model, which confirms the types of equations we had used for that global model. It has much more parameters, which would be very difficult to determine. Nevertheless we are able to visualise the diffusion through each patch.
model here
References:
- Atlas of xenopus development,G. Bernardini, Springer, 1999.
Assumptions
- The quantity of auxins is homogeneous in blood
- Movement of auxins in skin isn't dependent on where the skin is; it is the same in skin around the head and in the one surrounding the tail.
Model description
The PDE model is similar to the ODE one except that it takes into account the geometry. This allows us to model more complex phenomenon such as diffusion and transport.Equations
The diffusion equation is used to model the repartition of auxin's molecule when not subject to any flow (in the skin for example). The equation is states as follows:![diffusion equation](https://static.igem.org/mediawiki/2012/5/51/Diffusion.png)
- x = (x1, x2) is a 2 dimensional vector
- c is a function representing the auxin concentration
- D is the diffusion constant
- Δ is the Laplacian operator
Geometry
To keep the complexity of the numerical simulations low, we had to simplify the considered geometry. Hence, the slide of tadpole only contains the following elements:- Skin
- Blood vessels or muscles (depending on the model)
- Notochord
- Spinal cord
- Aorta
- Veins: caudal and dorsal
![tadpole geometry](https://static.igem.org/mediawiki/2012/8/83/Pde-geo.png)
Limit conditions
null Neumann condition
We consider in this model the tadpole as a closed system: no exchanges are allowed between the external medium and the skin. This hypothesis is modelized by using the neumann boundary condition with a value of 0:![neumann ext](https://static.igem.org/mediawiki/2012/1/13/Neumann-ext.png)
- blood <-> notochord
- blood <-> spinal cord
Exchange between different tissues
For the exchanges between other compartments, we use the same Neumann condition but modify the value of the right hand term. This values is now computed depending on the neighbors that do not belong to the same tissue.![neumann int](https://static.igem.org/mediawiki/2012/e/ef/Neumann-int.png)
- Px <-> y is the permeability between compartments x and y
- neighbors is a function computing the 4-connexity neighborhood of a point
Parameters
Description | Symbol | Type | Values |
---|---|---|---|
Permeabilities | P | calculated | here |
Diffusion constants | D | calculated | here |
Volumes | V | calculated | here |
Degradation rate | Ddie | estimated | unknown |
Creation rate | Dborn | computed | plasmid repartition model |
Results
The program implemented on Netlogo gives us the folowing results:
![](https://static.igem.org/mediawiki/2012/7/73/Anim.gif)
The coloration of every patch of skin and capillaries is proportional to its concentration in auxin. We can see here the diffusion process from the skin to the vessels. The on the top right corner reflets the variation of the quantity of auxin in skin. We can see that this variation corresponds to the results of the ODE model for the same initial conditions (0 concentration in water that is surrounding the tadpole and non-zero quantity of auxin in skin.
Conclusion
This model has the qualitatively the same results as the ODE model, which confirms the types of equations we had used for that global model. It has much more parameters, which would be very difficult to determine. Nevertheless we are able to visualise the diffusion through each patch.
model hereReferences:
- Atlas of xenopus development,G. Bernardini, Springer, 1999.