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Published on: December 7, 2021
Robustness and evolvability in genetic regulatory networks
Maximino Aldana1, Enrique Balleza, Stuart Kauffman
1Centro de Ciencias Físicas, Universidad Nacional Autónoma de México, C.P. 62251, Apartado Postal 48-3, Cuernavaca, Morelos, Mexico. max@fis.unam.mx
Genetic regulatory networks are robust and evolvable. Gene duplication and divergence preserve existing functions while enabling new ones, especially in critical regimes.
Area of Science:
- Systems Biology
- Evolutionary Genetics
Background:
- Living organisms exhibit robustness to genetic changes like mutations and duplications.
- Gene regulation networks and metabolic pathways self-organize for stability and reliability.
- Organisms are also evolvable, adapting to new environments through genetic perturbations.
Purpose of the Study:
- Investigate the interplay between robustness and evolvability in genetic regulatory networks.
- Understand how gene duplication and divergence impact network stability and adaptation.
- Determine the conditions under which robustness and evolvability are simultaneously maximized.
Main Methods:
- Studied attractor landscapes of genetic regulatory network models.
- Simulated gene duplication followed by gene divergence.
- Analyzed network behavior across various topologies and divergence levels.
Main Results:
- Gene duplication followed by divergence typically preserves existing phenotypes.
- New phenotypes frequently emerge after gene divergence, even with extreme divergence.
- Networks operating near the critical regime demonstrate maximal robustness and evolvability.
Conclusions:
- Genetic regulatory networks possess intrinsic properties that balance stability and adaptation.
- The critical regime is key for simultaneous robustness and evolvability in biological systems.
- Findings offer insights into the mechanisms of evolutionary innovation.
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