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Systems approaches in understanding evolution and evolvability.

Sumeet Agarwal1

  • 1Department of Electrical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.

Progress in Biophysics and Molecular Biology
|October 15, 2013
PubMed
Summary
This summary is machine-generated.

Systems biology reveals how modularity, robustness, and evolvability evolved in biological systems. Network approaches link gene interactions and evolution, suggesting modularity enhances adaptability and computational complexity.

Keywords:
EvolutionEvolvabilityModularityNetworksSystems

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Area of Science:

  • Cellular Biology
  • Evolutionary Biology
  • Systems Biology

Background:

  • Systems and network-based approaches are increasingly utilized in cellular biology.
  • These methods offer insights into the evolutionary origins of biological principles like modularity, robustness, and evolvability.
  • Gene interaction models (epistasis) and evolution-as-learning frameworks provide context for understanding genetic circuit evolution.

Purpose of the Study:

  • To review key studies and results concerning systems and network-based approaches in evolutionary biology.
  • To explore connections between different concepts of evolvability and their implications for biological systems.
  • To investigate the role of modularity in enhancing system adaptability and computational complexity.

Main Methods:

  • Review of existing literature on systems biology, network approaches, and evolutionary principles.
  • Analysis of models of gene interactions (epistasis) and their evolutionary implications.
  • Examination of recent work on evolution as a learning process and its constraints on genetic circuits.

Main Results:

  • Systems and network approaches illuminate the evolutionary origins of modularity, robustness, and evolvability.
  • Models of epistasis provide insights into the evolution of sexual reproduction.
  • Evolution-as-learning studies define limits on the complexity of evolvable genetic circuits.

Conclusions:

  • Modularity may be a key organizing principle that enhances evolvability in biological systems.
  • There is a potential link between a system's agility in responding to new environments and the computational complexity of its gene network functionality.
  • Modularity's role in enhancing evolvability, in both adaptability and computational terms, is a significant area for future research.