Error threshold in finite populations
- 1 June 1998
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review E
- Vol. 57 (6) , 7008-7013
- https://doi.org/10.1103/physreve.57.7008
Abstract
A simple analytical framework to study the molecular quasispecies evolution of finite populations is proposed, in which the population is assumed to be a random combination of the constituent molecules in each generation; i.e., linkage disequilibrium at the population level is neglected. In particular, for the single-sharp-peak replication landscape we investigate the dependence of the error threshold on the population size and find that the replication accuracy at the threshold increases linearly with the reciprocal of the population size for sufficiently large populations. Furthermore, in the deterministic limit our formulation yields the exact steady state of the quasispecies model, indicating then that the population composition is a random combination of the molecules.Keywords
All Related Versions
This publication has 22 references indexed in Scilit:
- Exact solution of the quasispecies model in a sharply peaked fitness landscapePhysical Review E, 1997
- Error threshold in the evolution of diploid organismsJournal of Physics A: General Physics, 1997
- Population genetics approach to the quasispecies modelPhysical Review E, 1996
- Diffusion on a hypercubic lattice with pinning potential: exact results for the error-catastrophe problem in biological evolutionJournal of Physics A: General Physics, 1996
- Error thresholds for molecular quasispecies as phase transitions: From simple landscapes to spin-glass modelsPhysical Review A, 1992
- Statistical mechanics of Eigen's evolution modelJournal of Statistical Physics, 1987
- An exact correspondence between Eigen’s evolution model and a two-dimensional Ising systemThe Journal of Chemical Physics, 1986
- A stochastic theory of macromolecular evolutionBiological Cybernetics, 1984
- Stochastic Theory of Molecular Replication Processes with Selection CharacterAnnalen der Physik, 1977
- Selforganization of matter and the evolution of biological macromoleculesThe Science of Nature, 1971