Team:Sheffield/Project

Overall project

In this project, we originally intended to create an E.coli system that is sensitive to multiple wavelengths of light and produce a colour indication of the specific wavelength it is exposed to. However due to limitations in the time and number of people available, and due to unexpected results the project changed significantly.

In the end, our project became: characterizing existing parts, such as BBa_R0082 for beta-galactocidase activity depending on time from the reaction start as well as wavelength and intensity of exposed light.

Project Details

The first experiment we carried to familiarise ourselves with the strain, was to repeat the light sensing ability of RU1012 as described in the Levskaya et al. paper[1], in its most simple form. To our surprise, the result were opposite to what we expected: the illuminated plate produced more pigment than the one in the dark, whereas it should have been the opposite.

After that several experiments were carried to confirm if the result was systematic, and then to work the reason for this unusual result. Then, to quantitatively assess the activity rate of the beta-galactocidase depending on the intensity, the Miller Assay was used.

After that, the results were analyzed and compared with the models.

Results

Discussion

Further Work

Due to time restrictions, and the few people we had available for this project. We would to continue characterising the parts of this system, as well as repeat our the Miller assay for more values of light intensities and wavelengths.

We also have the thought of new directions to develop the project after contacting Christopher A. Voigt.

References

Papers

1. Engineering Escherichia coli to see light
   Nature 24 November 2005 DOI:10.1038/nature04405
   A. Levskaya et al.
   [http://www.nature.com/nature/journal/v438/n7067/full/nature04405.html URL] [http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=16306980 Pubmed] [http://www.hubmed.org/display.cgi?uids=16306980 Hubmed]|}