Related Experiment Video
Updated: Aug 5, 2026
06:26
Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response
Published on: May 23, 2020
An Engineered Multicellular Bacterial Network for Simultaneously Answering Multiple Computational Decision Problems
Biyas Mukherjee1,2, Sangram Bagh1,2
1Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Kolkata, India.
Biotechnology and Bioengineering
|July 28, 2026
Summary
Researchers engineered bacteria into a living neural network capable of solving computational problems. This biocomputing advance identifies prime numbers, paving the way for biologically implemented artificial intelligence wetware.
Area of Science:
- Synthetic Biology
- Biocomputing
- Artificial Intelligence
Background:
- Living cell-based computers are emerging but struggle with complex computational tasks.
- A single system solving multiple decision problems is a significant challenge in biocomputing.
Purpose of the Study:
- To develop a bacterial artificial neural network capable of solving multiple computational decision problems.
- To demonstrate a single system that can identify four types of prime numbers.
Main Methods:
- Molecular-genetic engineering of bacteria to create synthetic gene regulatory networks.
- Implementation of a single-layered artificial neural network architecture in liquid culture.
- Using chemical inputs in binary patterns to query bacteria and fluorescent protein outputs to decode answers.
Main Results:
- A six-cell bacterial network successfully classified four prime number families (cluster, Euclid, safe, and Lucas primes) within the 0-9 range.
- The system demonstrated a functional artificial neuro-synapse module through its chemical processing.
- Engineered bacteria identified specific prime number families based on distinct fluorescent protein expression patterns.
Conclusions:
- This study presents a novel bacterial artificial neural network for biocomputing.
- The developed system successfully addresses multiple computational decision problems, specifically prime number identification.
- The findings hold potential implications for synthetic biology, biocomputing, and biologically implemented AI wetware.
Related Concept Videos
01:30Bacterial Signaling
Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
01:26Microbial Interactions: Cooperation
Microbial cooperation involves beneficial interactions in which different species work together for individual or mutual advantage. These interactions can profoundly influence ecological dynamics and evolutionary processes, and they are essential to many pathogenic and symbiotic relationships.Nematode–Bacteria CooperationA striking example is the relationship between the Gram-negative bacterium Xenorhabdus nematophila and the parasitic nematode Steinernema carpocapsae. Juvenile nematodes...
01:57Protein Complexes with Interchangeable Parts
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
01:29Coordination of Gene Expression Processes in Bacteria
The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
01:28Global Regulatory Systems
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...