EFLUX

Evolutionary microfluidix

 Coordinatore PARMENIDES STIFTUNG 

 Organization address address: KARDINAL FAULHABER STRASSE 14A
postcode: 80333

contact info
Cognome: LEHR, THOMAS
Email: send email
Telefono: -5541739
Fax: -5541722

 Nazionalità Coordinatore Germany [DE]
 Totale costo 3˙009˙550 €
 EC contributo 2˙300˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Funding Scheme CP
 Anno di inizio 2009
 Periodo (anno-mese-giorno) 2009-02-01   -   2012-01-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1 PARMENIDES STIFTUNG DE coordinator 0.00
2    EPITROPI EREUNON PANEPISTIMIOU THESSALIAS

 Organization address address: ARGONAFTON & FILELLINON
city: VOLOS
postcode: 38221

contact info

EL (VOLOS) participant 0.00
3    UNIVERSITAT AUTONOMA DE BARCELONA

 Organization address address: CAMPUS UAB
city: BELLATERRA (CERDANYOLA DEL VALLES)
postcode: 8193

contact info

ES (BELLATERRA (CERDANYOLA DEL VALLES)) participant 0.00
4    UNIVERSITE LOUIS PASTEUR

 Organization address address: rue Blaise Pascal, 4
city: STRASBOURG
postcode: 67000

contact info

FR (STRASBOURG) participant 0.00
5    UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6

 Organization address address: Place Jussieu 4
city: PARIS

contact info

FR (PARIS) participant 0.00
6    UNIVERSITY OF SUSSEX

 Organization address address: Sussex House
city: FALMER, BRIGHTON

contact info

UK (FALMER, BRIGHTON) participant 0.00
7    WAGENINGEN UNIVERSITEIT

 Organization address address: COSTERWEG 50
city: WAGENINGEN
postcode: 6701BH

contact info

NL (WAGENINGEN) participant 0.00

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 Word cloud

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molecular    theoretical    technological    natural    biological    automata    reproducing    artificial    evolution    select    rna    microfluidic   

 Obiettivo del progetto (Objective)

Ever since the insightful suggestion of John von Neumann, self-reproducing automata are considered to be a main long-term goal of IT. Biologists are dealing with such systems that arose in the course of evolution by natural selection. The future realization of technological artefacts that will mimic, or be inspired by biological automata, will face many problems that biological evolution had to solve. e-Flux will develop droplet-based digital microfluidic systems for the manipulation of reproducing artificial compartments and natural cells (including the analysis of adaptive pathways and molecular cooperation).

The project combines cutting-edge technological development with high-level theoretical analysis of the experimentally realized systems. By the application of a large population of electronically controlled microdroplets we shall select for RNA replicator-based molecular networks that can learn from experience. The same method will be used to reconstruct a hypothetical interim stage of early biological evolution where protocells harboured a bag of competing catalytically active RNA genes. These achievements need technological development of our microfluidic machinery. As an example of unconventional biotechnology, we will put bacteria into the droplets, and select for various traits in a novel kind of 'evolution machine'. Theoretical analyses will complement the experimental work, especially in order to develop a better understanding of evolvability (the genetically controlled capacity to respond to directional selection) in artificial and natural molecular systems.

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