Reverse engineering of biological complexity

Area of Science:

• Systems biology
• Engineering theory
• Complexity science

Background:

• Advanced technologies and biological systems, despite different physical forms, exhibit similar systems-level organization.
• Convergent evolution in both domains leads to modular architectures with hierarchical protocols and feedback regulation.
• These complex systems are designed for robustness in uncertain environments, often using imprecise components.

Purpose of the Study:

• To explore the parallels between biological complexity and engineered systems.
• To apply engineering theory to understand biological organization and function.
• To elucidate the interplay between complexity, robustness, modularity, feedback, and fragility.

Main Methods:

• Review of engineering theory and practice.
• Comparative analysis of systems-level organization in technology and biology.
• Examination of emergent properties like modularity and feedback regulation.

Main Results:

• Both technological and biological systems display convergent evolution towards modular, hierarchical structures.
• Robustness to environmental uncertainty is a key driver for complexity in both domains.
• Imprecise components are common, contributing to system fragility and cascading failures.

Conclusions:

• The complexity observed in biological systems is not accidental but arises from fundamental principles shared with engineered systems.
• Engineering insights can illuminate the deep interplay between complexity, robustness, and fragility in biology.
• Understanding these shared principles is crucial for managing complex biological and technological systems.