Abstract
The question of complexity in biological systems is recurrent in evolutionary biology and is central in complex systems science for obvious reasons. But this question is surprisingly overlooked by evolutionary systems biology. This comes unexpected given the roots of systems biology in complex systems science but also given that a proper understanding of the origin and evolution of complexity would provide clues for a better understanding of extant biological systems. In this chapter, we will explore the links between evolutionary systems biology and biological systems complexity, in terms of concepts, tools and results. In particular, we will show how complex models can be used to explore this question and show that complexity can spontaneously accumulate even in simple conditions owing to a “complexity ratchet” fuelled by sign epistasis.
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Notes
- 1.
“[…] if we know of a long series of gradations in complexity, each good for its possessor, then, under changing conditions of life, there is no logical impossibility in the acquirement of any conceivable degree of perfection through natural selection” (Darwin, 1859, page 204, Chap. VI).
- 2.
In Aevol, robustness and evolvability are estimated by Monte Carlo sampling. 10,000,000 offspring of a given individual are generated. Robustness is estimated by the fraction of neutral offspring, and evolvability is estimated by the mathematical expectation of fitness improvement on the forthcoming generation.
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Beslon, G., Liard, V., Parsons, D.P., Rouzaud-Cornabas, J. (2021). Of Evolution, Systems and Complexity. In: Crombach, A. (eds) Evolutionary Systems Biology. Springer, Cham. https://doi.org/10.1007/978-3-030-71737-7_1
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DOI: https://doi.org/10.1007/978-3-030-71737-7_1
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Keywords
- Aevol
- Architecture
- Artificial genetic code
- Big-data bioinformatics
- Biological complexity
- Biological systems
- C-value enigma
- Coding scheme
- Complex models
- Complex networks
- Complex organism
- Complex regulation mechanisms
- Complex systems science
- Complexity
- Complexity levels
- Complexity ratchet
- Constructive neutral evolution
- Darwinian evolution
- Degeneracy
- Degrees of freedom
- Deletions
- Digital organisms
- Drift
- Duplications
- Dynamical systems
- Environments epistasis
- Evolution of complexity
- Evolutionary algorithms
- Evolutionary biology
- Evolutionary dynamics
- Evolutionary origin
- Evolvability
- Feedback
- Fitness
- Fitness landscape
- Frozen accidents
- Functional complexity
- Gene duplication-divergence
- Genome
- Genomic complexity
- Genomic structure
- Genotype-phenotype map
- Genotype-to-phenotype map
- Impossible experiments
- in silico experimental evolution
- in vivo experimental evolution
- Lineage mathematical abstraction
- Metabolic networks
- Modularity
- Monte Carlo sampling
- Motifs
- Multi-scale model
- Multi-scale organisms
- Multi-scale systems
- Multiscale systems
- Mutation and selection operators
- Mutation rate
- Mutational operators
- Mutational pattern
- Mutations
- Natural selection
- Pleiotropic effects
- Networks
- pathways
- Perfect fossil record
- Phenotypic target
- Population
- Population genetics
- Population size
- Random drift
- Random variations
- Ratchet mechanism
- Rearrangements
- Redundancy
- Regulation networks
- Replication
- Robustness
- Selection
- Self-organisation
- Sign-epistasis
- Simple and complex environments
- Simple organism
- Streamlining
- Structure-function relationship
- Systems biology
- Transcription initiation
- Transcription termination
- Translation
- Ultimate cause
- Variation