University of California Berkeley 2006

From 2006.igem.org

Addressable Conjugation in Bacterial Networks

Will Bosworth
Kaitlin A. Davis
Matt Fleming
Bryan Hernandez
Daniel Kluesing
Samantha Liang
Jennifer Lu
J. Christopher Anderson
John E. Dueber
Adam P. Arkin
Jay D. Keasling

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.

The specific Aims of our project were:

   1) Construct efficient riboregulator lock/key pairs
   2) Control ***conjugation**
   3) Show ***them together***

Riboregulators
Conjugation
NAND
Networks
Promoter Engineering

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