Imperial College London
Alternate

Professor Mark Isalan - Deputy Head of Department

Faculty of Natural Sciences, Department of Life Sciences

Professor of Synthetic Biology
 
 
 
//

Contact

 

+44 (0)20 7594 6482m.isalan

 
 
//

Location

 

509Sir Alexander Fleming BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Prakash:2022:10.1101/2022.04.22.489191,
author = {Prakash, S and Racovita, A and Varela, C and Walsh, M and Galizi, R and Isalan, M and Jaramillo, A},
doi = {10.1101/2022.04.22.489191},
title = {Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation},
url = {http://dx.doi.org/10.1101/2022.04.22.489191},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:p>Gene circuits enable cells to make decisions by controlling the expression of genes in reaction to specific environmental factors<jats:sup>1</jats:sup>. These circuits can be designed to encode logical operations<jats:sup>2–7</jats:sup>, but implementation of more complex algorithms has proved more challenging. Directed evolution optimizes gene circuits<jats:sup>8</jats:sup>without the need for design knowledge<jats:sup>9</jats:sup>, but adjusting multiple genes and conditions<jats:sup>10</jats:sup>in genotype searches poses challenges<jats:sup>11</jats:sup>. Here we show a multicellular sensor system, AdaptoCells, in Escherichia coli, that can evolve complex behavior through an accelerated adaptation to chemical environments. AdaptoCells recognize chemical patterns and act as a decision-making system. Using an iterative improvement method, we demonstrate that the AdaptoCells can evolve to achieve mastery in the game of tic-tac-toe, demonstrating an unprecedented level of complexity for engineered living cells. We provide an effective and straightforward way to encode complexity in gene circuits, allowing for fast adaptation in response to dynamic environments and leading to optimal decisions.</jats:p>
AU  - Prakash,S
AU  - Racovita,A
AU  - Varela,C
AU  - Walsh,M
AU  - Galizi,R
AU  - Isalan,M
AU  - Jaramillo,A
DO  - 10.1101/2022.04.22.489191
PY  - 2022///
TI  - Engineered sensor bacteria evolve master-level gameplay through accelerated adaptation
UR  - http://dx.doi.org/10.1101/2022.04.22.489191
ER  -
Download