Engineering bacterial populations for pattern formation

Jennifer S. Hallinan, Christopher Walker, Daniel Sutantyo, Nicholas deBono, Jarryd Vargas, Anil Wipat

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

The automated design of synthetic biological circuits is an active area of research. A particularly promising area of research is the engineering of populations of communicating bacteria, in order to produce behaviour more complex than is possible with the engineering of individual bacteria. We present a computational approach to the engineering of communicating bacterial populations, using a multi-level approach. Circuits are designed using an evolutionary algorithm, at a high level of abstraction, with an agent-based model. Evolved agents can then be mapped onto previously-defined, lower-level components such as Standard Virtual Parts. This approach is applied to the evolution of a two-dimensional pattern, the French Flag.
Original languageEnglish
Title of host publication2016 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Print)9781467394727
DOIs
Publication statusPublished - 2016
EventAnnual IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (2016) - Chiang Mai, Thailand
Duration: 5 Oct 20167 Oct 2016

Conference

ConferenceAnnual IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (2016)
CityChiang Mai, Thailand
Period5/10/167/10/16

Keywords

  • evolutionary computation
  • quorum communication
  • agent-based modelling
  • synthetic biology

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