Tuning receiver characteristics in bacterial quorum communication

an evolutionary approach using standard virtual biological parts

J. S. Hallinan, O. Gilfellon, G. Misirli, A. Wipat

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

6 Citations (Scopus)

Abstract

Populations of bacteria acting in collaboration can produce complex behaviors which are not achievable by individual cells. There has, consequently, been considerable interest in the engineering of bacterial populations. Here we describe an approach for the engineering of aspects of bacterial quorum communication, using Standard Virtual Parts, a synthetic biology programming language, dubbed SVPWrite, and an evolutionary algorithm. We apply this system to engineering the output characteristics of the subtilin receiver system of Bacillus subtilis. Simple modifications, such as altering the strength of the output response to a subtilin input, are easily achieved. More complex adaptations, such as modifying the shape of the receiver response curve, necessitate alterations to the topology of the regulatory network. More generally, the use of Standard Virtual Parts and a programming language allow circuit design, simulation and evaluation to easily be automated, permitting exploration of a far larger proportion of design space than would be possible using standard manual design approaches.

Original languageEnglish
Title of host publication2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-8
Number of pages8
ISBN (Print)9781479945368
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014 - Honolulu, HI, United States
Duration: 21 May 201424 May 2014

Other

Other2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014
CountryUnited States
CityHonolulu, HI
Period21/05/1424/05/14

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