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Engineering Basal Cognition: Minimal Genetic Circuits for Habituation, Sensitization, and Massed-Spaced Learning.
Jordi Pla-Mauri1,2, Ricard Solé1,2,3,4
1Complex Systems Lab, Universitat Pompeu Fabra, Dr. Aiguader 88, 08003 Barcelona, Spain.
ACS Synthetic Biology
|February 10, 2026
Summary
Scientists engineered synthetic genetic circuits in single cells to mimic simple learning behaviors like habituation and sensitization. This synthetic biology approach explores the evolution of cognition before nervous systems emerged.
Area of Science:
- Synthetic Biology
- Cellular Cognition
- Evolutionary Biology
Background:
- Cognitive functions like learning are observed in single-celled organisms, predating nervous systems.
- These basal cognitive abilities offer survival advantages by reducing environmental uncertainty.
- Early studies suggested learning-like behaviors in protists and slime molds.
Purpose of the Study:
- To explore minimal genetic circuits for nonassociative learning in unicellular systems using synthetic biology.
- To design and simulate synthetic circuits that replicate habituation, sensitization, and spacing effects.
- To understand the evolutionary and engineering challenges of cellular cognitive behavior.
Main Methods:
- Utilized a synthetic biology approach with theoretical models.
- Designed and simulated synthetic genetic circuits using activators, repressors, fluorescent reporters, and quorum-sensing molecules.
- Analyzed structural and dynamical constraints of gene-based learning systems.
Main Results:
- Successfully designed synthetic circuits capable of simulating habituation, sensitization, and massed-spaced learning effects.
- Demonstrated the feasibility of implementing nonassociative learning in unicellular systems via genetic circuits.
- Highlighted distinct temporal dynamics of gene-based learning compared to neural systems.
Conclusions:
- Minimal genetic circuits can implement fundamental learning behaviors in unicellular organisms.
- Synthetic biology provides a platform for studying the evolution and engineering of cellular cognition.
- This research offers insights into the pre-neural origins of cognitive functions.
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