1st place for Best Part
3rd place for Best Measurement and Part Characterization
The Berkeley iGEM team very gratefully acknowledges the generous support of Microsoft, which helped make our team members' participation possible.
Addressable Conjugation in Bacterial Networks
Networks of interacting cells provide the basis for neural learning. We have developed the process of addressable conjugation for communication within a network of E. coli
bacteria. Here, bacteria send messages to one another via conjugation of plasmid DNAs, but the message is only meaningful to cells with a matching address sequence. In this way, the Watson Crick base-pairing of addressing sequences replaces the spatial connectivity present in neural systems. To construct this system, we have adapted natural conjugation systems as the communication device. Information contained in the transferred plasmids is only accessable by "unlocking" the message using RNA based 'keys'. The resulting addressable conjugation process is being adapted to construct a network of NAND logic gates in bacterial cultures. Ultimately, this will allow us to develop networks of bacteria capable of trained learning.
To view our notebooks and protocols, visit our working website at Berkeley 2006 iGEM
See our parts list at Registry 2006 Berkeley iGEM
Download our Powerpoint presentation