User:Jec105

In order to achieve our specifications of design previously described, we require the following constructs;

• Light sensing device - Converting a light input into an output of PoPS,
• Biomaterial production device- Converting a PoPS input into an output of biomaterial,
• Motility Control device - Converting a PoPS input into an output of motility arrest,
• Integration device - To allow integration and selection of our genetic constructs,

Here, AB is our antibiotic resistance cassette, ytvA is the gene controlling the light-sensing pathway, SB is the biomaterial, epsE the clutch and the 5' and 3' sections are integration sites. Light-inducible promoters are labelled with an 'L'.

Our basic approach was to constitutively upregulate a light-sensitive pathway in B. subtilis, then use a downstream product from that pathway to selectively regulate expression of our clutch and biomaterial. This overview is shown on the right. To do this we need to produce at least one constitutive promoter to precede our light-sensing mechanism, as well as a 'light-inducible' promoter in front of our clutch and biomaterial. Additionally, we'll need to make all the other standard parts such as ribosome binding sites (RBS) and terminators.

The diagram below shows our theoretical final construct once it's all put together - as you can see, it's a little more complex than the one on the right!

Basically our dry lab team concentrated on characterising the chassis. In the dry lab section you'll find pages on the genetic circuit, growth curve and motility analysis from our project; this section will give a brief brief overview of each area (no pictures?). It will also include (in the motility analysis part) a movie (y/n?) of the motility response of B. subtilis with an inducible epsE gene BioBricked in.

Growth Curve

The growth curve of B. subtilis was modelled by superposition of three more basic ODE models, which were constructed and simulated in MATLAB. The lag, exponential and stationary phases are modelled and combined to produce the curve on the right (Image here?).

Genetic Circuit

We feel accurate modelling of the genetic circuit contributes greatly to the characterisation of synthetic systems. As part of the project, the behaviours of constitutive and inducible promoters were modelled for comparison with our experimental data.

Motility Analysis

A major component of the system is the motility and shift between a motile and arrested state with the expression of EpsE.

Think what we can refer to as implementation is the construction of the parts. Last week Kirsten had the idea that we could make a big gel with the digests from all our parts, I will look into this week to get an image. \We could use this then put some stuff about no. of parts etc.

The wet lab team was responsible for designing the constructs and setting up the cloning strategy to get us from the starting parts to the finished system. We were also responsible for designing and BioBricking the starting parts, of course, and designing and implementing the integration brick technique. This section shows some of the major results that came from the wet lab over the summer. Motility results can go in the dry lab overview above.

Transformation

Transformation stuff goes here...

Calibration Curve

Calibration curve results go here...

Stuff

• Helped Bristol by sending them a mini-iGEM project: Chemotactic dot-to-dot with information on quorum sensing and directed movement
• Helped Bristol by sending them a part (BBa_J37015) from our 2007 stock which was an empty vector in the Registry
• Developed integration bricks, to allow devices to be constructed that can then be excised and planted into B. subtilis
• Layed the groundwork for future teams to work with B. subtilis by BioBricking promoters, RBSs, terminators and so on and characterising them
• Showed that expansion into other organisms is a definite possibility!

Of course, that's a very simplified description of our project. We expanded upon our project by looking into possible areas for real-world application; for a case-study of such an implementation check out how our project fits in with >>> Biocouture >>>