Minimal model of self-replicating nanocells: a physically embodied information-free scenario
Open accessAbstract
The building of minimal self-reproducing systems with a physical embodiment (generically called protocells) is a great challenge, with implications for both theory and applied sciences. Although the classical view of a living protocell assumes that it includes information-carrying molecules as an essential ingredient, a dividing cell-like structure can be built from a metabolism–container coupled system only. An example of such a system, modelled with dissipative particle dynamics, is presented here. This article demonstrates how a simple coupling between a precursor molecule and surfactant molecules forming micelles can experience a growth-division cycle in a predictable manner, and analyses the influence of crucial parameters on this replication cycle. Implications of these results for origins of cellular life and living technology are outlined.
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Models have shown that cell division through growth and instability is possible in an information-free context where only metabolism and compartment are present, both in amphiphile-based vesicles and micelles.
“But models have also shown that such a possibility exists in an information-free context where only metabolism and compartment are present, both in amphiphile-based vesicles [167–169] and micelles [164,170].”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [170]
In both examples, cell division occurs through growth and instability.
“In both cases, cell division occurs through growth and instability.”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [170]
Cites
A kinetic study of the growth of fatty acid vesicles
Chen, I. A., & Szostak, J. W. (2004) · Biophysical Journal · doi:10.1529/biophysj.104.039875 · Cited by 251 · see citing works
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Evolution and self-assembly of protocells
Solé, R. V. (2009) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2008.10.004 · Cited by 59 · see citing works
Self-citationFundamental constraints to the logic of living systems
Solé, R., Kempes, C. P., Corominas-Murtra, B., De Domenico, M., Kolchinsky, A., Lachmann, M., Libby, E., Saavedra, S., Smith, E., & Wolpert, D. (2024) · Interface Focus · doi:10.1098/rsfs.2024.0010 · Cited by 34 · see citing works
“But models have also shown that such a possibility exists in an information-free context where only metabolism and compartment are present, both in amphiphile-based vesicles [167–169] and micelles [164,170].”
BackgroundSelf-citation
- Authors
- Fellermann, H., & Solé, R. V.
- Affiliations
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Corresponding author
- Solé, Ricard V
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2007-05-09
- Volume
- 362
- Issue
- 1486
- Pages
- 1803-1811
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC2442394
- OpenAlex
- W2113342569
- Cited by
- 28
- References
- 1
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2016: 3 · 2015: 1 · 2014: 1 · 2013: 1 · 2012: 1
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Santa Fe Institute
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- protocells, self-replication, precursor molecules, surfactant micelles, dissipative particle dynamics, living technology
- MeSH terms
- Cell Physiological Phenomena, Computer Simulation, Models, Biological, Nanotechnology
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