Emergent digital bio-computation through spatial diffusion and engineered bacteria

被引:1
|
作者
Fedorec, Alex J. H. [1 ]
Treloar, Neythen J. [1 ]
Wen, Ke Yan [1 ]
Dekker, Linda [1 ]
Ong, Qing Hsuan [1 ]
Jurkeviciute, Gabija [1 ]
Lyu, Enbo [1 ]
Rutter, Jack W. [1 ]
Zhang, Kathleen J. Y. [1 ]
Rosa, Luca [1 ]
Zaikin, Alexey [2 ,3 ]
Barnes, Chris P. [1 ]
机构
[1] UCL, Dept Cell & Dev Biol, London WC1E 6BT, England
[2] UCL, Dept Math, London WC1E 6BT, England
[3] UCL, Inst Womens Hlth, London WC1E 6BT, England
基金
欧洲研究理事会; 英国生物技术与生命科学研究理事会; 英国惠康基金; 英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
D O I
10.1038/s41467-024-49264-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:11
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