Influence of the hypercyclic organization on the error threshold
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A replication fidelity lower than error threshold does not allow maintenance of a single long molecule, but shorter sequences organized into hypercycle can coexist with mutants.
“A replication fidelity lower than the error threshold does not allow for the maintenance of a single long molecule but shorter sequences organized into a hypercycle can coexist with their mutants.”
From Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems (2017) · cites this paper as [63]
There is a range of copying fidelity which does not allow a single long molecule to coexist with mutants but same amount of information arranged in hypercycle can be maintained.
“Yet there is a range of copying fidelity which does not allow a single long molecule to coexist with its mutants but the same amount of information arranged in a hypercycle can be maintained.”
From Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems (2017) · cites this paper as [63]
There is a lower critical copying fidelity below which even hypercyclic organization collapses because mutants overwhelm system.
“There is a lower critical copying fidelity below which even the hypercyclic organization collapses, because the mutants overwhelm the system.”
From Ecology and Evolution in the RNA World Dynamics and Stability of Prebiotic Replicator Systems (2017) · cites this paper as [63]
Cites
Selforganization of matter and the evolution of biological macromolecules
Eigen, M. (1971) · Die Naturwissenschaften · doi:10.1007/bf00623322 · Cited by 3,788 · see citing works
The Hypercycle: A principle of natural self-organization
Eigen, M., & Schuster, P. M. (1979) · Cited by 1,906 · see citing works
Swetina, J., & Schuster, P. M. (1982) · Biophysical Chemistry · doi:10.1016/0301-4622(82)87037-3 · Cited by 342 · see citing works
Complex systems-operational approaches
Kadomtsev, B. B. (1990) · Soviet Physics Uspekhi · doi:10.1070/pu1990v033n07abeh002613 · Cited by 123 · see citing works
Molecular self-organization and the early stages of evolution
Eigen, M. (1971) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583500000627 · Cited by 118 · see citing works
Küppers, B. (1983) · Springer eBooks · doi:10.1007/978-3-642-70544-1 · Cited by 94 · see citing works
Polynucleotide evolution and branching processes
Demetrius, L., Schuster, P. M., & Sigmund, K. (1985) · Bulletin of Mathematical Biology · doi:10.1016/s0092-8240(85)90051-5 · Cited by 79 · see citing works
Müller‐Herold, U. (1983) · Journal of Theoretical Biology · doi:10.1016/0022-5193(83)90391-0 · Cited by 20 · see citing works
An algorithm to study the evolution and selection of auto replicative molecules
Morán, F., & Montero, F. (1984) · Computers & Chemistry · doi:10.1016/0097-8485(84)85023-8 · Cited by 3 · see citing works
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Coexistence and error propagation in pre-biotic vesicle models: A group selection approach
Fontanari, J. F., Mauro Santos, A., & Szathmáry, E. (2005) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2005.08.039 · Cited by 48 · 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
“Analysing the dynamics of hypercycles and the mutants of the master sequences uncovered a new threshold [63,64].”
BackgroundTakeuchi, N., & Hogeweg, P. (2007) · Journal of Molecular Evolution · doi:10.1007/s00239-007-9044-6 · Cited by 36 · see citing works
Viral sex, levels of selection, and the origin of life
Szathmáry, E. (1992) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(05)80770-2 · Cited by 32 · see citing works
Error propagation in the hypercycle
Campos, P., Fontanari, J., & Stadler, P. (2000) · Physical Review E · doi:10.1103/physreve.61.2996 · Cited by 25 · see citing works
A model of an autocatalytic network formed by error-prone self-replicative species
Nuño, J. C., Andrade, M. A., Morán, F., & Montero, F. (1993) · Bulletin of Mathematical Biology · doi:10.1007/bf02460889 · Cited by 25 · see citing works
Self-citationComplex dynamics of a catalytic network having faulty replication into error-species
Andrade, M. Á. G., Nuño, J. C., Morán, F., Montero, F., & Mpitsos, G. J. (1993) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(93)90144-p · Cited by 23 · see citing works
Self-citationInfluence of the hypercycle on the error threshold: A stochastic approach
García-Tejedor, A., Sanz-Nuño, J. C., Olarrea, J., de la Rubia, F. J., & Montero, F. (1988) · Journal of Theoretical Biology · doi:10.1016/s0022-5193(88)80049-3 · Cited by 16 · see citing works
Self-citationError threshold ghosts in a simple hypercycle with error prone self-replication
Sardanyés, J. (2008) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2006.05.020 · Cited by 14 · see citing works
Studies on evolutionary and selective properties of hypercycles using a Monte Carlo method
García-Tejedor, Á. J., Castaño, A. R., Morán, F., & Montero, F. (1987) · Journal of Molecular Evolution · doi:10.1007/bf02101147 · Cited by 11 · see citing works
Self-citationNuño, J. C., Andrade, M. A., & Montero, F. (1993) · Bulletin of Mathematical Biology · doi:10.1007/bf02460890 · Cited by 11 · see citing works
Self-citationSome mechanistic requirements for major transitions
Schuster, P. M. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0439 · Cited by 7 · see citing works
Study of an error-prone hypercycle formed from two kinetically distinguishable species
Andrade, M. A., García-Tejedor, Á. J., & Montero, F. (1991) · Biophysical Chemistry · doi:10.1016/0301-4622(91)85028-o · Cited by 4 · see citing works
Self-citationModelling Functional Shifts in Two-Species Hypercycles
Bassols-Cornudella, B., Fontich, E., Oró, D., Alonso, D., & Josep Sardanyés, A. (2021) · Mathematics · doi:10.3390/math9151809 · Cited by 2 · see citing works
Role of Catalysis on the Evolution of Error-Prone Self-Replicative Molecules
Montero, F., & Nuño, J. C. (1993) · NATO ASI series. Series B : Physics · doi:10.1007/978-1-4615-2852-4_41
Self-citation
- Authors
- García-Tejedor, A., Morán, F., & Montero, F.
- Affiliations
- Universidad Complutense de Madrid (ES)
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 1987-08
- Volume
- 127
- Issue
- 4
- Pages
- 393-402
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W1977886723
- Cited by
- 15
- References
- 9
- Citations by year
- 2021: 1 · 2017: 1 · 2016: 1
- FWCI
- 0.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Theoretical Biology (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Origins and Evolution of Life
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Mathematical and Theoretical Epidemiology and Ecology Models
- Keywords
- hypercycles, error threshold, quasispecies, bistability, quality factor, population size, rate constants, information storage, self-replicating systems
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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.
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