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Engineered communications for microbial robotics
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 2054/2001 |
| Book | DNA Computing |
| DOI | 10.1007/3-540-44992-2 |
| Copyright | 2001 |
| ISBN | 978-3-540-42076-7 |
| DOI | 10.1007/3-540-44992-2_1 |
| Pages | 1-16 |
| Subject Collection | Computer Science |
| SpringerLink Date | Monday, January 01, 2001 |
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Engineered communications for microbial robotics
Ron Weiss6 and Thomas F. Knight Jr.6 
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M.I.T. Artificial Intelligence Laboratory, 545 Technology Square, Cambridge, MA 02139, USA |
Abstract
Multicellular organisms create complex patterned structures from identical, unreliable components. Learning how to engineer
such robust behavior is important to both an improved understanding of computer science and to a better understanding of the
natural developmental process. Earlier work by our colleagues and ourselves on amorphous computing demonstrates in simulation
how one might build complex patterned behavior in this way. This work reports on our first efforts to engineer microbial cells
to exhibit this kind of multicellular pattern directed behavior.
We describe a specific natural system, the Lux operon of Vibrio fischeri, which exhibits density dependent behavior using a well characterized set of genetic components. We have isolated, sequenced,
and used these components to engineer intercellular communication mechanisms between living bacterial cells.
In combination with digitally controlled intracellular genetic circuits, we believe this work allows us to begin the more
difficult process of using these communication mechanisms to perform directed engineering of multicellular structures, using
techniques such as chemical diffusion dependent behavior. These same techniques form an essential part of our toolkit for
engineering with life, and are widely applicable in the field of microbial robotics, with potential applications in medicine,
environmental monitoring and control, engineered crop cultivation, and molecular scale fabrication.
This work is supported by DARPA/ONR under grant number N00014-96-1-1228 and by NTT Corporation under grant MIT9904-010.
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