Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts

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

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.

Citation

Hallinan, J. S., Gilfellon, O., Misirli, G., & Wipat, A. (2014). Tuning receiver characteristics in bacterial quorum communication: An evolutionary approach using standard virtual biological parts. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, https://doi.org/10.1109/cibcb.2014.6845520

• Journal Article Type: Conference Paper
• Conference Name: 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
• Conference Location: Honolulu, HI, USA
• Publication Date: 2014-05
• Deposit Date: Aug 15, 2023
• Journal: IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/cibcb.2014.6845520
• Publisher URL: https://ieeexplore.ieee.org/document/6845520
• Additional Information: Published in: 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology - 21-24 May 2014. Electronic ISBN:978-1-4799-4536-8