Team:BCCS-Bristol/Modelling/BSIM/Results

From 2010.igem.org

Revision as of 10:42, 27 October 2010

Results: Overview

On this page we have presented a few examples of what can be done with the environmental modelling package in BSim 2010. These examples illustrate the three core featuers of the package, namely importing 3D meshes, generating and processing arbitrarily shaped chemical fields and collisions.

Motility in a Gel Matrix

A question that we wanted to analyze was how the 'run-and-tumble' motion of E. coli is affected by them being embedded in a gel. The gel is not completely solid, rather it is composed of fluid filled voids and strands of sugary gellan. We devised a simulation to track the movement of E. coli in a segment of a gellan bead.

Analysing the Gel Structure

Our first step was to find out what the inside of the gel looked like on a microscale. Using a high-magnification confocal microscope we mapped the distribution of individual E. coli in the gel matrix to give us a sense of the density of the gel. By looking at fluorescence magnitudes across segments of the bead we determined the average size of void. We were also able to use slightly lower magnification microscopy to give us an idea of the shape of the gel matrix. With this data we used the open source 3D content creation suite [http://www.blender.org/ blender] to generate a mesh model of a segment of the gel microstructure. The image below shows some of the data we used, and a snapshot of the mesh being prepared in blender.

Simulating Motility in BSim

In the first simulation we looked at how a group of E. coli moved through our mesh. They began near the center of the volume and moved in a 'run and tumble' fashion. The movement was parameterized using viscocity values for water, whihc is appropriate for the fluid in the gel voids. The gel was modelled as being a hard surface that the E. coli can not cross. The video below gives a snap-shot of their movement.

To track the movement of the E. coli through the bead volume BSim we recorded the spatial location of a group of 15 E. coli. Below is a graph of average distance travelled from their start location over 300 simulation timesteps. The error-bars represent the standard deviation of the group. The jagged features in the distribution appear to be from features in the mesh that cause 'choke points' for the movement of the bacteria through the gel.

Motility in a degraded Mesh

After looking at movement through our mesh model we decided to look at movement through a gel mesh that had been degraded, so it was more permeable. To simulate this degredation the mesh was modified so that 20 percent of the links were randomly deleted.

We were expecting motility to be further impared, as more of the gel's surface area is exposed, but the effect seems to be the opposite. The graph below shows that the E. coli infact moved further and the 'choke point' effect is much less pronounced. This may mean that as the bead degrades more of the agrEcoli encapsulated within will be able to move into the environment. This effect should be explored further when designing a final version of the bead, it's structual integrity should be maintained until most of the agrEcoli inside are dead.

Simple Diffusion

Simple illustration of chemical field diffusing through two different media, the aqueous environment surrounding the gel strand and the gel itself. The source of the chemical is a contact at the bottom of the simulation volume. The agrEcoli bacteria are shown changing color as concentration changes to represent expression of rfp/gfp ratio.