Statistical physics of self-replication
Open accessAbstract
Self-replication is a capacity common to every species of living thing, and simple physical intuition dictates that such a process must invariably be fueled by the production of entropy. Here, we undertake to make this intuition rigorous and quantitative by deriving a lower bound for the amount of heat that is produced during a process of self-replication in a system coupled to a thermal bath. We find that the minimum value for the physically allowed rate of heat production is determined by the growth rate, internal entropy, and durability of the replicator, and we discuss the implications of this finding for bacterial cell division, as well as for the pre-biotic emergence of self-replicating nucleic acids.
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The FEP can be counted among contemporary attempts to understand complex systems through variational principles.
“For this reason, the FEP can be counted among contemporary attempts to understand complex systems through variational principles—see e.g., [1,2,3,4] for a short review.”
From The Free Energy Principle: Good Science and Questionable Philosophy in a Grand Unifying Theory (2021) · cites this paper as [1]
The Introduction describes a contemporary attempt to derive general thermodynamic constraints for complex biological self-replication. The Macroscopic Irreversibility section derives a bound on entropy production, but our copy does not identify this approach as a variational principle or discuss the FEP; those parts of the attribution are unsupported. The retrieved passages have section labels but no page numbers. (LLM, conf=0.78)
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Cites
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“…obtained and obtain here on Earth, astrobiological research has the potential to add dimension to our understanding of how, and under what conditions, life emerged from a low-entropy feed to play its part in increasing the overall entropy of the Universe (Boltzmann, 1886; cf. England, 2013).”
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“This boundary enclosed and contained the molecules that used energy for vital processes (the catalytic and substrate molecules for metabolism) plus the information molecules RNA and DNA that instructed these processes and allowed the protocells to sustain and reproduce themselves (England, 2013).”
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“This dynamical logic has also been studied mathematically (e.g. England, 2013, 2020) and shown to be generative in ways that resembles evolution.”
Background
- Authors
- England, J. L.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- England, Jeremy L.
- ORCID
- England, Jeremy L.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2013-08-21
- Volume
- 139
- Issue
- 12
- Pages
- 121923-121923
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2125605221
- Cited by
- 449
- References
- 2
- Citations by year
- 2026: 62 · 2025: 39 · 2024: 23 · 2023: 33 · 2022: 31 · 2021: 35 · 2020: 31 · 2019: 48 · 2018: 31 · 2017: 47 · 2016: 33 · 2015: 27 · 2014: 5 · 2013: 4
- FWCI
- 16.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- The Journal of Chemical Physics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Advanced Thermodynamics and Statistical Mechanics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Origins and Evolution of Life
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Cellular Automata and Applications
- Keywords
- self-replication, thermogenesis, entropy production, lower bounds, thermal baths, growth rate, bacterial cell division
- MeSH terms
- Bacteria, Cell Division, Cell Physiological Phenomena, Nucleic Acids, Statistics as Topic, Thermodynamics
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