Natural selection: a phase transition?
Abstract
Information has two aspects: a quantity to be called 'extent' and a quality which may be termed 'content' since it deals with meaning. The latter originates via selective self-organization, which can be described also in quantitative physical terms. A prerequisite is the reproducibility of the informational substrate forming the basis of selection. This paper focuses on selection being the analogue of a physical phase transition. In Section 1 the criteria for phase transitions are formulated. Section 2 introduces the concept of information space and describes information as selected points or regions in this space. In Section 3 selection is analyzed in terms of the criteria for phase transitions, and in Section 4 the concept is confronted with experimental data. The conclusion is reached that information content is generated via selection, which can be described as a phase transition in information space.
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Several well-known examples of evolutionary innovations seem to be associated with a symmetry-breaking event, including the transition from 'pre-volution' to evolution, natural selection, the universality of intermediate metabolism, and the origin of chirality.
“Several well-known examples of evolutionary innovations seem to be associated with a symmetry-breaking event. These include, for example, the transition from ‘pre-volution’ to evolution [376], natural selection [377], the universality of intermediate metabolism [86,98] as well as the origin of chirality (figure 10b) [378–380]”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [377]
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“Negative selection acting on a nucleotide leads to conservation and indicates that it possesses information useful to the organism; the higher the level of conservation, the greater the informational value, and so it can be observed that it is the process of selection itself creates genetic information, as pointed out…”
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What does the tree of life look like as it grows? Evolution and the multifractality of time
Hudnall, K., & D’Souza, R. M. (2025) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2025.112121 · Cited by 2 · see citing works
Quasispecies: from molecular Darwinism to viral diseases
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Error Thresholds in Single-Peak Gaussian Distributed Fitness Landscapes
Xiaoli, F., Gu, J., Li, Y., & Yizhong, Z. (2007) · Communications in Theoretical Physics · doi:10.1088/0253-6102/48/4/040 · Cited by 2 · see citing works
Biomolecular information gained through in vitro evolution
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A trade-off relationship between energetic cost and entropic cost for in vitro evolution
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Darwinian Principles Acting on Highly Mutable Viruses
Domingo, E. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-800837-9.00003-4 · Cited by 1 · see citing works
von Meijenfeldt, F. A. B. (2014) · Cited by 1 · see citing works
Hocus-Socus: An Error Catastrophe for Complex Hebbian Learning Implies Neocortical ProofreadingPreprint
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On the role of the degradation rates for the dominance of the fittest in Eigen's quasispecies model
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Relaxation Property and Stability Analysis of the Quasispecies Models
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HOW A NEW ENTITY, WE DUBBED INFORMATION, HAS EMERGED
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Darwinian principles acting on highly mutable viruses
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Evolutionary Dynamics in Molecular Populations of Ligase Ribozymes
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Role de la proteine PB1 dans la fidelite du complexe polymérase des virus influenza
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- Authors
- Eigen, M.
- Affiliations
- Max Planck Society (DE)
- Corresponding author
- Eigen, Manfred
- Venue
- Biophysical Chemistry
- Publisher
- Elsevier BV
- Published
- 2000-07
- Volume
- 85
- Issue
- 2-3
- Pages
- 101-123
- ISSN
- 0301-4622 (ISSN-L)
- OpenAlex
- W1964549964
- Cited by
- 86
- References
- 53
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 1 · 2020: 2 · 2019: 1 · 2017: 7 · 2015: 5 · 2014: 5 · 2013: 3 · 2012: 4
- FWCI
- 4.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biophysical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- natural selection, phase transitions, information content, information space, self-organization
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