Abstract

Biological computing is a promising field with potential applications in biosafety, environmental monitoring, and personalized medicine. Here we present work on the design of bacterial computers using spatial patterning to process information in the form of diffusible morphogen-like signals. We demonstrate, mathematically and experimentally, that single, modular, colonies can perform simple digital logic, and that complex functions can be built by combining multiple colonies, removing the need for further genetic engineering. We extend our experimental system to incorporate sender colonies as morphogen sources, demonstrating how one might integrate different biochemical inputs. Our approach will open up ways to perform biological computation, with applications in bioengineering, biomaterials and biosensing. Ultimately, these computational bacterial communities will help us explore information processing in natural biological systems.

Biological computing is a promising field with potential applications in biosafety, environmental monitoring, and personalized medicine. Here the authors create bio-computers using engineered E. coli colonies that respond to chemical gradients, producing different logic functions depending on how they are spatially arranged.

Details

Title
Emergent digital bio-computation through spatial diffusion and engineered bacteria
Author
Fedorec, Alex J. H. 1   VIAFID ORCID Logo  ; Treloar, Neythen J. 1 ; Wen, Ke Yan 1 ; Dekker, Linda 1   VIAFID ORCID Logo  ; Ong, Qing Hsuan 1 ; Jurkeviciute, Gabija 1 ; Lyu, Enbo 1 ; Rutter, Jack W. 1   VIAFID ORCID Logo  ; Zhang, Kathleen J. Y. 1 ; Rosa, Luca 1 ; Zaikin, Alexey 2 ; Barnes, Chris P. 1   VIAFID ORCID Logo 

 University College London, Department of Cell and Developmental Biology, London, UK (GRID:grid.83440.3b) (ISNI:0000 0001 2190 1201) 
 University College London, Department of Mathematics, London, UK (GRID:grid.83440.3b) (ISNI:0000 0001 2190 1201); University College London, Institute for Women’s Health, London, UK (GRID:grid.83440.3b) (ISNI:0000 0001 2190 1201) 
Pages
4896
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3065628403
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.