Metabolically Coupled Replicator Systems: Overview of an RNA-world model concept of prebiotic evolution on mineral surfaces
Open accessAbstract
Metabolically Coupled Replicator Systems (MCRS) are a family of models implementing a simple, physico-chemically and ecologically feasible scenario for the first steps of chemical evolution towards life. Evolution in an abiotically produced RNA-population sets in as soon as any one of the RNA molecules become autocatalytic by engaging in template directed self-replication from activated monomers, and starts increasing exponentially. Competition for the finite external supply of monomers ignites selection favouring RNA molecules with catalytic activity helping self-replication by any possible means. One way of providing such autocatalytic help is to become a replicase ribozyme. An additional way is through increasing monomer supply by contributing to monomer synthesis from external resources, i.e., by evolving metabolic enzyme activity. Retroevolution may build up an increasingly autotrophic, cooperating community of metabolic ribozymes running an increasingly complicated and ever more efficient metabolism. Maintaining such a cooperating community of metabolic replicators raises two serious ecological problems: one is keeping the system coexistent in spite of the different replicabilities of the cooperating replicators; the other is constraining parasitism, i.e., keeping "cheaters" in check. Surface-bound MCRS provide an automatic solution to both problems: coexistence and parasite resistance are the consequences of assuming the local nature of metabolic interactions. In this review we present an overview of results published in previous articles, showing that these effects are, indeed, robust in different MCRS implementations, by considering different environmental setups and realistic chemical details in a few different models. We argue that the MCRS model framework naturally offers a suitable starting point for the future modelling of membrane evolution and extending the theory to cover the emergence of the first protocell in a self-consistent manner. The coevolution of metabolic, genetic and membrane functions is hypothesized to follow the progressive sequestration scenario, the conceptual blueprint for the earliest steps of protocell evolution.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The stochastic lattice implementation of the spatially explicit MCRS model keeps all metabolic replicators coexistent and shows robust ecological stability.
“Unlike the mean-field version, the stochastic (lattice) implementation of the spatially explicit MCRS model keeps all the metabolic replicators coexistent and shows robust ecological stability (Figure 9) [33,36,37].”
From Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems (2017) · cites this paper as [37]
The MCRS models offer a chemically and ecologically feasible spatial mechanism for robust maintenance of a metabolically active set of different ribozymes attached to mineral surfaces.
“The growing family of the Metabolically Coupled Replicator System (MCRS) models offer a chemically and ecologically feasible spatial mechanism for the robust maintenance of a metabolically active set of different ribozymes attached to mineral surfaces”
From Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems (2017) · cites this paper as [37]
Cites
A Production of Amino Acids Under Possible Primitive Earth Conditions
Miller, S. L. (1953) · Science · doi:10.1126/science.117.3046.528 · Cited by 3,522 · see citing works
Wilson, D. S. (1975) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.72.1.143 · Cited by 1,259 · see citing works
The antiquity of RNA-based evolution.
Joyce, G. F. (2002) · Nature · doi:10.1038/418214a · Cited by 1,070 · see citing works
RNA-catalyzed RNA polymerization: Accurate and general RNA-templated primer extension.
Johnston, W. K., Unrau, P. J., Lawrence, M. S., Glasner, M. E., & Bartel, D. P. (2001) · Science · doi:10.1126/science.1060786 · Cited by 768 · see citing works
Segré, D., Ben-Eli, D., Deamer, D. W., & Lancet, D. (2001) · Origins of life and evolution of the biosphere · doi:10.1023/a:1006746807104 · Cited by 620 · see citing works
Group selection of early replicators and the origin of life
Szathmáry, E., & Demeter, L. (1987) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(87)80191-1 · Cited by 407 · see citing works
Self-citationRibozyme-catalyzed transcription of an active ribozyme
Wochner, A., Attwater, J., Coulson, A., & Holliger, P. (2011) · Science · doi:10.1126/science.1200752 · Cited by 399 · see citing works
Lipid formation by aqueous Fischer-Tropsch-type synthesis over a temperature range of 100 to 400 °C
Rushdi, A. I., & Simoneit, B. R. T. (2001) · Origins of life and evolution of the biosphere · doi:10.1023/a:1006702503954 · Cited by 274 · see citing works
From self-assembled vesicles to protocells
Chen, I. A., & Walde, P. (2010) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a002170 · Cited by 256 · see citing works
Ferris, J. P. (2006) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2006.1903 · Cited by 253 · see citing works
The origin of the RNA world: Co-evolution of genes and metabolism
Copley, S. D., Smith, E., & Morowitz, H. J. (2007) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2007.08.001 · Cited by 184 · see citing works
Sub-exponential growth and coexistence of non-enzymatically replicating templates
Szathmáry, E., & Gladkih, I. (1989) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(89)80177-8 · Cited by 165 · see citing works
Self-citationBioenergetics and Life’s Origins
Deamer, D., & Weber, A. L. (2010) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a004929 · Cited by 165 · see citing works
Ice as a protocellular medium for RNA replication
Attwater, J., Wochner, A., Pinheiro, V. B., Coulson, A., & Holliger, P. (2010) · Nature Communications · doi:10.1038/ncomms1076 · Cited by 165 · see citing works
Rohatgi, R., Bartel, D. P., & Szostak, J. W. (1996) · Journal of the American Chemical Society · doi:10.1021/ja9537134 · Cited by 134 · see citing works
Causation and the Origin of Life. Metabolism or Replication First?
Pross, A. (2004) · Origins of life and evolution of the biosphere · doi:10.1023/b:orig.0000016446.51012.bc · Cited by 122 · see citing works
Ivica, N. A., Obermayer, B., Campbell, G. W., Rajamani, S., Gerland, U., & Chen, I. A. (2013) · Journal of Molecular Evolution · doi:10.1007/s00239-013-9584-x · Cited by 42 · see citing works
Evolution of the division of labor between genes and enzymes in the RNA world
Boza, G., Szilágyi, A., Kun, Á., Santos, M., & Szathmáry, E. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003936 · Cited by 36 · see citing works
Self-citationJoshi, P. C., Aldersley, M. F., & Ferris, J. P. (2011) · Origins of Life and Evolution of Biospheres · doi:10.1007/s11084-010-9222-1 · Cited by 32 · see citing works
Könnyű, B., & Czárán, T. (2013) · BMC Evolutionary Biology · doi:10.1186/1471-2148-13-204 · Cited by 25 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The Future of Origin of Life Research: Bridging Decades-Old Divisions
Preiner, M., Asche, S., Becker, S., Betts, H. C., Boniface, A., Camprubi, E., Chandru, K., Erastova, V., Garg, S. G., Khawaja, N., et al. (2020) · Life · doi:10.3390/life10030020 · Cited by 140 · see citing works
Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems
Szilágyi, A., Zachar, I., Scheuring, I., Kun, Á., Könnyű, B., & Czárán, T. (2017) · Life · doi:10.3390/life7040048 · Cited by 44 · see citing works
“Unlike the mean-field version, the stochastic (lattice) implementation of the spatially explicit MCRS model keeps all the metabolic replicators coexistent and shows robust ecological stability (Figure 9) [33,36,37].”
BackgroundSelf-citation
- Authors
- Czárán, T., Könnyű, B., & Szathmáry, E.
- Affiliations
- Eötvös Loránd University (HU)
- Corresponding author
- Czárán, Tamás
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 381
- Pages
- 39-54
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W563174044
- Cited by
- 37
- References
- 21
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 4 · 2022: 1 · 2021: 3 · 2020: 8 · 2019: 2 · 2018: 5 · 2017: 4 · 2016: 3 · 2014: 1
- FWCI
- 0.33
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Journal of Theoretical Biology (publishedVersion)
- PubMed (publishedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- ELTE Digital Institutional Repository (EDIT) (Eötvös Loránd University) (submittedVersion, other-oa)
- LPICo
- Funders
- Hungarian Research Foundation (K100806)
- European Research Council under the European Community’s (FP7/2007-2013, 294332)
- “Emergence and Evolution of Complex Chemical Systems”
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Origins and Evolution of Life
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- RNA world, prebiotic evolution, parasitism, mineral surfaces, membrane evolution, chemical evolution
- MeSH terms
- Origin of Life, Animals, Minerals, Models, Biological, RNA, Surface Properties, RNA, Catalytic, Evolution, Molecular, Evolution, Chemical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review