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Emergent digital bio-computation through spatial diffusion and engineered bacteria.
Fedorec, Alex J H; Treloar, Neythen J; Wen, Ke Yan; Dekker, Linda; Ong, Qing Hsuan; Jurkeviciute, Gabija; Lyu, Enbo; Rutter, Jack W; Zhang, Kathleen J Y; Rosa, Luca; Zaikin, Alexey; Barnes, Chris P.
Afiliação
  • Fedorec AJH; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK. a.fedorec@ucl.ac.uk.
  • Treloar NJ; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Wen KY; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Dekker L; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Ong QH; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Jurkeviciute G; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Lyu E; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Rutter JW; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Zhang KJY; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Rosa L; Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
  • Zaikin A; Department of Mathematics, University College London, London, WC1E 6BT, UK.
  • Barnes CP; Institute for Women's Health, University College London, London, WC1E 6BT, UK.
Nat Commun ; 15(1): 4896, 2024 Jun 08.
Article em En | MEDLINE | ID: mdl-38851790
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Escherichia coli Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2024 Tipo de documento: Article