4.4 Article

An electrogenetic toggle switch model

Journal

MICROBIAL BIOTECHNOLOGY
Volume 16, Issue 3, Pages 546-559

Publisher

WILEY
DOI: 10.1111/1751-7915.14153

Keywords

-

Ask authors/readers for more resources

Synthetic biology utilizes molecular biology to create genetic circuits that can perform computations. These circuits process inputs and produce outputs based on predefined rules encoded in genetic parts. However, recent advancements in the field have shifted towards using mechanisms beyond genetic parts for engineering biological circuits. This study explores the use of electrogenic processes for circuit design and presents a model of a hybrid genetic and electrogenetic toggle switch operating in a biofilm attached to an electrode. Computational simulations were conducted to identify circuit design principles that result in bistability, providing a foundation for the rational design and implementation of hybrid devices that can be controlled genetically and electronically.
Synthetic biology uses molecular biology to implement genetic circuits that perform computations. These circuits can process inputs and deliver outputs according to predefined rules that are encoded, often entirely, into genetic parts. However, the field has recently begun to focus on using mechanisms beyond the realm of genetic parts for engineering biological circuits. We analyse the use of electrogenic processes for circuit design and present a model for a merged genetic and electrogenetic toggle switch operating in a biofilm attached to an electrode. Computational simulations explore conditions under which bistability emerges in order to identify the circuit design principles for best switch performance. The results provide a basis for the rational design and implementation of hybrid devices that can be measured and controlled both genetically and electronically.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available