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Cellular senomic measurements in Cognition-Based Evolution
William B Miller1, František Baluška2, John S Torday3
1Paradise Valley, AZ, USA.
Progress in Biophysics and Molecular Biology
|August 2, 2020
Summary
Living cells continuously measure information to maintain self-identity. This collective cellular information management drives multicellularity and biological evolution, optimizing data quality for survival.
Area of Science:
- Theoretical Biology
- Cellular Biology
- Systems Biology
Background:
- All living entities process ambiguous information for survival.
- Cellular self-identity is maintained through homeostatic equipoise.
- Information assessment is a fundamental measuring function for life.
Purpose of the Study:
- To reframe biology and evolution as a process of cellular information measurement.
- To explore how collective cellular assessment optimizes information quality.
- To understand the role of cellular self-identity in multicellularity.
Main Methods:
- Conceptual framework integrating information theory and thermodynamics.
- Analysis of cellular information processing and homeostatic mechanisms.
- Exploration of multicellularity as a form of collective information management.
Main Results:
- Cellular information reception triggers thermodynamic reactions and self-reinforcing work channels.
- This leads to natural cellular engineering and niche construction, forming tissue ecologies.
- Multicellularity represents optimized information quality through collective measurement.
Conclusions:
- Biology and evolution are continuous processes of self-referential cellular measurement.
- The defense of individual cellular self-identities drives collective forms.
- Understanding information management is key to understanding life's processes.
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