BACTOCOM
Bacterial Computing with Engineered Populations
| Coordinatore | THE MANCHESTER METROPOLITAN UNIVERSITY
Organization address
address: John Dalton Building, Chester Street contact info |
| Nazionalità Coordinatore | United Kingdom [UK] |
| Totale costo | 2˙557˙621 € |
| EC contributo | 1˙949˙997 € |
| Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
| Code Call | FP7-ICT-2009-4 |
| Funding Scheme | CP |
| Anno di inizio | 2010 |
| Periodo (anno-mese-giorno) | 2010-02-01 - 2013-07-31 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
THE MANCHESTER METROPOLITAN UNIVERSITY
Organization address
address: John Dalton Building, Chester Street contact info |
UK (Manchester) | coordinator | 0.00 |
| 2 |
CHARITE - UNIVERSITAETSMEDIZIN BERLIN
Organization address
address: Chariteplatz 1 contact info |
DE (BERLIN) | participant | 0.00 |
| 3 |
TECHNISCHE UNIVERSITAET MUENCHEN
Organization address
address: Arcisstrasse contact info |
DE (MUENCHEN) | participant | 0.00 |
| 4 |
UNIVERSIDAD DE CANTABRIA
Organization address
address: AVENIDA DE LOS CASTROS contact info |
ES (SANTANDER) | participant | 0.00 |
| 5 |
UNIVERSIDAD POLITECNICA DE MADRID
Organization address
address: CALLE RAMIRO DE MAEZTU contact info |
ES (MADRID) | participant | 0.00 |
| 6 |
UNIVERSITE D'EVRY-VAL D'ESSONNE
Organization address
address: BOULEVARD FRANCOIS MITTERAND 23 contact info |
FR (EVRY) | participant | 0.00 |
Mappa
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Obiettivo del progetto (Objective)
The main objective of BACTOCOM is to build a simple computer, using bacteria rather than silicon. Microbes may be thought of as biological 'micro-machines' that process information about their own state and the world around them. By sensing their environment, certain bacteria are able to move in response to chemical signals, allowing them to seek out food, for example. They can also communicate with other bacteria, by leaving chemical trails, or by directly exchanging genetic information. We focus on this latter mechanism.nnParts of the internal 'program' of a bacterial cell (encoded by its genes, and the connections between them) may be 'reprogrammed' in order to persuade it to perform human-defined tasks. By introducing artificial 'circuits' made up of genetic components, we may add new behaviours or modify existing functionality within the cell. Existing examples of this include a bacterial oscillator, which causes the cells to periodically flash, and cell-based pollution detectors that can spot arsenic in drinking water. The potential for bio-engineering is huge, but the process itself is made difficult by the noisy, 'messy' nature of the underlying material. Bacteria are hard to engineer, as they rarely conform to the traditional model of a computer or device, with well-defined components laid out in a fixed design.nnWe intend to use the inherent randomness of natural processes to our advantage, by harnessing it as a framework for biological engineering. By allowing our system to evolve, we use natural selection to build new functional biological devices. We begin with a large number of simple DNA-based components, taken from a well-understood toolbox, which may be pieced together inside the cell to form new genetic programs. A population of bacteria then absorb these components, which may (or may not) affect their behaviour. Crucially, the core of our bacterial computer is made up of engineered microbes that can detect how well they are performing, according to some external measure, such as how well they can flash in time with light pulses.The better bacteria are allowed to release their program components back into the environment in much larger numbers than the other, less impressive cells. As these 'good' components are then increasingly taken up by the population of cells, in a continual cycle, we gradually refine the internal program, until the whole population performs well. There are many potential benefits to this work, from both a biological and ICT perspective. By evolving new functional structures, we gain insight into biological systems. This, in turn, may suggest new methods for silicon-based computing, in the way that both evolution and the brain have already done. In building these new bio-devices, we offer a new type of programmable, microscopic information processor that will find applications in areas as diverse as environmental sensing and clean-up, medical diagnostics and therapeutics, energy and security.