Abstract
We present a spin coherent state representation of the Crow-Kimura and Eigen models of biological evolution. We deal with quasispecies models where the fitness is a function of Hamming distances from one or more reference sequences. In the limit of large sequence length N, we find exact expressions for the mean fitness and magnetization of the asymptotic quasispecies distribution in symmetric fitness landscapes. The results are obtained by constructing a path integral for the propagator on the coset SU(2)/U(1) and taking the classical limit. The classical limit gives a Hamiltonian function on a circle for one reference sequence, and on the product of 2m-1 circles for m reference sequences. We apply our representation to study the Schuster-Swetina phenomena, where a wide lower peak is selected over a narrow higher peak. The quadratic landscape with two reference sequences is also analyzed specifically and we present the phase diagram on the mutation-fitness parameter phase space. Furthermore, we use our method to investigate more biologically relevant system, a model of escape from adaptive conflict through gene duplication, and find three different phases for the asymptotic population distribution.
| Original language | English |
|---|---|
| Pages (from-to) | 636-656 |
| Number of pages | 21 |
| Journal | Journal of Statistical Physics |
| Volume | 143 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 2011 |
Bibliographical note
Funding Information:Acknowledgements This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (Grant No. 2010-0009936 and Grant No. KRF-2008-314-C00123).
Keywords
- Crow-Kimura model
- Eigen model
- Escape from adaptive conflict
- Fitness landscape
- Quasispecies theory
- Spin coherent state
Fingerprint
Dive into the research topics of 'Spin Coherent State Representation of the Crow-Kimura and Eigen Models of Quasispecies Theory'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver