2015
DOI: 10.1007/82_2015_471
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Mathematical Models of Quasi-Species Theory and Exact Results for the Dynamics

Abstract: We formulate the Crow-Kimura, discrete-time Eigen model, and continuous-time Eigen model. These models are interrelated and we established an exact mapping between them. We consider the evolutionary dynamics for the single-peak fitness and symmetric smooth fitness. We applied the quantum mechanical methods to find the exact dynamics of the evolution model with a single-peak fitness. For the smooth symmetric fitness landscape, we map exactly the evolution equations into Hamilton-Jacobi equation (HJE). We apply … Show more

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Cited by 8 publications
(5 citation statements)
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“…Since then, several extensions of the theory to non-equilibrium conditions with stochastic components have been developed, with the aim of finding general solutions for multi-peak fitness landscapes. These objectives approximate quasispecies to the real case of RNA viruses, which are compelled to deal with dramatic variations in population size and environment (reviewed in [19]). Research on quasispecies has proceeded through several theoretical and experimental avenues that include continuing studies on evolutionary optimization and the origin of life, RNA-RNA interactions and replicator networks, the error threshold in variable fitness landscapes, consideration of chemical mutagenesis and proofreading mechanisms, evolution of tumor cells, bacterial populations or stem cells, chromosomal instability, drug resistance, and conformation distributions in prions (a class of proteins with conformation-dependent pathogenic potential; in this case the quasispecies is defined by a distribution of conformations) [16,20].…”
Section: Historical Originsmentioning
confidence: 99%
“…Since then, several extensions of the theory to non-equilibrium conditions with stochastic components have been developed, with the aim of finding general solutions for multi-peak fitness landscapes. These objectives approximate quasispecies to the real case of RNA viruses, which are compelled to deal with dramatic variations in population size and environment (reviewed in [19]). Research on quasispecies has proceeded through several theoretical and experimental avenues that include continuing studies on evolutionary optimization and the origin of life, RNA-RNA interactions and replicator networks, the error threshold in variable fitness landscapes, consideration of chemical mutagenesis and proofreading mechanisms, evolution of tumor cells, bacterial populations or stem cells, chromosomal instability, drug resistance, and conformation distributions in prions (a class of proteins with conformation-dependent pathogenic potential; in this case the quasispecies is defined by a distribution of conformations) [16,20].…”
Section: Historical Originsmentioning
confidence: 99%
“…The introduction of quasispecies to virology initially described the mutant spectrum nature of RNA virus populations and subsequently emphasized internal interactions among components of the mutant distributions (reviewed in references 4, 11, and 12). The connection of this view of RNA viruses with theoretical quasispecies has been strengthened by several recent developments: (i) extensions of quasispecies theory to finite populations of replicating entities under nonequilibrium conditions (13,14), (ii) quantifications of mutant spectrum complexity by deep-sequencing methodologies (15), and (iii) experimental evidence of the existence of an error threshold for virus survival in realistic fitness landscapes (4,16). Several questions that bear on the general understanding of viral quasispecies and disease features of viral pathogens remain.…”
mentioning
confidence: 99%
“…Another mathematical approach to the quasispecies models with permutation invariant fitness landscapes is based on the limiting procedure that transform the original system of ordinary differential equations into one first order partial differential equation of Hamilton-Jacobi type. There is a recent review of results obtained with this approach [28], therefore here we just mention the main idea. Again, for simplicity, we only present the results for model (3.1), (3.2).…”
Section: The Ising Model the Maximum Principle And The Hamilton-jacmentioning
confidence: 99%