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Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior

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Distributed Computing with Engineered Bacteria and Its Application in Solving Chemically Generated 2 × 2 Maze

Kathakali Sarkar¹, Saswata Chakraborty¹, Deepro Bonnerjee¹

¹Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Homi Bhabha National Institute (HBNI), Block A/F, Sector-I, Bidhannagar, Kolkata 700064, India.

ACS Synthetic Biology

|September 20, 2021

Summary

Researchers developed a genetic distributed computing system to solve mathematical maze problems using synthetic genetic circuits in cell populations. This novel approach demonstrates cellular computation for complex problem-solving.

Keywords:

cellular computation distributed computing genetic circuits maze synthetic biology

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Area of Science:

Synthetic Biology
Computational Biology
Biochemistry

Background:

Mathematical maze problems were mapped onto a truth table.
Chemical inputs controlled logic values for 16 unique maze problems.
Synthetic genetic AND gates were distributed across cell populations.

Discussion:

Cell populations in a mixed culture functioned as a distributed computational solver.
The system utilized synthetic genetic circuits to solve maze problems.
Fluorescent proteins indicated solutions, with glowing bacteria signifying solvable mazes.

Key Insights:

The system successfully solved chemically generated 2x2 maze problems.
It differentiated between solvable and unsolvable maze configurations.
Three solvable mazes were visualized by glowing bacteria.

Outlook:

This work advances cellular computation and synthetic biology applications.
Potential for developing complex biological computing systems.
Future research could explore more intricate computational problems.