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Updated: Jun 19, 2026

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

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Learning from bacteria about natural information processing.

Eshel Ben-Jacob¹

¹School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences,Tel-Aviv University, Tel-Aviv, Israel. eshel@tamar.tau.ac.il

Annals of the New York Academy of Sciences

|October 23, 2009

Summary

This summary is machine-generated.

Bacteria form complex communities, using chemical communication for cooperative behaviors. Colonies act as "super-brains," solving problems beyond human capability through distributed information processing and collective sensing.

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Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

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Area of Science:

Microbiology and Microbial Ecology
Computational Biology
Systems Biology

Background:

Bacteria exist in complex, hierarchical communities under natural conditions.
Bacterial communication involves sophisticated chemical language with semantic and pragmatic aspects, enabling cooperative behaviors.

Purpose of the Study:

To describe the emergence of complex bacterial colony forms through communication-based interplay.
To explore how bacterial colonies solve problems beyond individual cell capabilities, acting as collective intelligence.
To discuss bacterial computational principles in comparison to Turing algorithms.

Main Methods:

Observation and analysis of complex colony pattern formation.
Investigation of communication-based interplay between individual bacteria and the colony.
Examination of collective sensing, memory recall, and distributed information processing within bacterial populations.

Main Results:

Complex colony patterns emerge from communication-based interactions.
Individual bacterial cells acquire novel traits not present in their genetic code.
Bacterial colonies exhibit 'swarming intelligence,' solving complex optimization problems surpassing human abilities through distributed processing.

Conclusions:

Bacterial colonies function as emergent 'super-brains' capable of sophisticated problem-solving.
Bacterial computation relies on distributed information processing, differing fundamentally from Turing algorithm principles.
Understanding bacterial collective intelligence offers insights into novel computational paradigms.