Implementation of Complex Biological Logic Circuits Using Spatially Distributed Multicellular Consortia
Author(s) -
Javier Macía,
Romilde Manzoni,
Núria Conde–Pueyo,
Arturo Urrios,
Eulàlia de Nadal,
Ricard V. Solé,
Francesc Posas
Publication year - 2016
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1004685
Subject(s) - scalability , computer science , reusability , modular design , multicellular organism , flexibility (engineering) , synthetic biology , biomedicine , computer architecture , electronic circuit , distributed computing , computer engineering , software , bioinformatics , engineering , biology , mathematics , biochemistry , statistics , database , electrical engineering , gene , programming language , operating system
Engineered synthetic biological devices have been designed to perform a variety of functions from sensing molecules and bioremediation to energy production and biomedicine. Notwithstanding, a major limitation of in vivo circuit implementation is the constraint associated to the use of standard methodologies for circuit design. Thus, future success of these devices depends on obtaining circuits with scalable complexity and reusable parts. Here we show how to build complex computational devices using multicellular consortia and space as key computational elements. This spatial modular design grants scalability since its general architecture is independent of the circuit’s complexity, minimizes wiring requirements and allows component reusability with minimal genetic engineering. The potential use of this approach is demonstrated by implementation of complex logical functions with up to six inputs, thus demonstrating the scalability and flexibility of this method. The potential implications of our results are outlined.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom