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相关论文: Survival-extinction phase transition in a bit-stri…

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Using Monte Carlo model of biological evolution we have discovered that populations can switch between two different strategies of their genomes' evolution; Darwinian purifying selection and complementing the haplotypes. The first one is…

种群与进化 · 定量生物学 2009-11-13 Marta Zawierta , Wojciech Waga , Dorota Mackiewicz , Przemyslaw Biecek , Stanislaw Cebrat

We have analyzed the relations between the mutational pressure, recombination and selection pressure in the bit-string model with sexual reproduction. For specific sets of these parameters we have found three phase transitions with one…

种群与进化 · 定量生物学 2007-05-23 D. Stauffer , S. Cebrat

We introduce an analytical model for population dynamics with intra-specific competition, mutation and assortative mating as basic ingredients. The set of equations that describes the time evolution of population size in a mean-field…

种群与进化 · 定量生物学 2015-06-26 V. Schwämmle , K. Luz-Burgoa , J. S. Sá Martins , S. Moss de Oliveira

We introduce a model of biological evolution where species evolve in response to biotic interactions and a fluctuating environmental stress. The species may either become extinct or mutate to acquire a new fitness value when the effective…

统计力学 · 物理学 2012-12-19 Debarshee Bagchi , P. K. Mohanty

Spreading from a seed is studied by Monte Carlo simulation on a square lattice with two types of sites affecting the rates of birth and death. These systems exhibit a critical transition between survival and extinction. For time- dependent…

无序系统与神经网络 · 物理学 2009-11-07 Gyorgy Szabo , Hajnalka Gergely , Beata Oborny

Competitive birth-death processes often exhibit an oscillatory behavior. We investigate a particular case where the oscillation cycles are marginally stable on the mean-field level. An iconic example of such a system is the Lotka-Volterra…

种群与进化 · 定量生物学 2015-05-13 Matthew Parker , Alex Kamenev

This article is concerned with a version of the contact process with sexual reproduction on a graph with two levels of interactions modeling metapopulations. The population is spatially distributed into patches and offspring are produced in…

概率论 · 数学 2015-04-08 Eric Foxall , Nicolas Lanchier

We study the non-equilibrium phase transition between survival and extinction of spatially extended biological populations using an agent-based model. We especially focus on the effects of global temporal fluctuations of the environmental…

统计力学 · 物理学 2017-07-04 Hatem Barghathi , Skye Tackkett , Thomas Vojta

We consider a stochastic model for an evolving population. We show that in the presence of genotype extinctions the population dies out for a low mutation probability but may survive for a high mutation probability. This turns upside down…

种群与进化 · 定量生物学 2014-10-24 Rinaldo B. Schinazi

We describe a simple model of evolution which incorporates the branching and extinction of species lines, and also includes abiotic influences. A first principles approach is taken in which the probability for speciation and extinction are…

adap-org · 物理学 2008-02-03 D. A. Head , G. J. Rodgers

A simulation model of a population having internal (genetic) structure is presented. The population is subject to selection pressure coming from the environment which is the same in the whole system but changes in time. Reproduction has a…

适应与自组织系统 · 物理学 2012-08-31 Andrzej Pekalski , Marcel Ausloos

A formulation of bit-string models of language evolution, based on differential equations for the population speaking each language, is introduced and preliminarily studied. Connections with replicator dynamics and diffusion processes are…

物理与社会 · 物理学 2009-11-13 Damian H. Zanette

The birth/death process with mutation describes the evolution of a population, and displays rich dynamics including clustering and fluctuations. We discuss an analytical `field-theoretical' approach to the birth/death process, using a…

种群与进化 · 定量生物学 2007-11-20 Daniel John Lawson , Henrik Jeldtoft Jensen

We employ Monte Carlo simulations to numerically study the temporal evolution and transient oscillations of the population densities, the associated frequency power spectra, and the spatial correlation functions in the (quasi-)steady state…

种群与进化 · 定量生物学 2015-03-18 Qian He , Mauro Mobilia , Uwe C. Tauber

We have used the Monte Carlo based computer models to show that selection pressure could affect the distribution of recombination hotspots along the chromosome. Close to critical crossover rate, where genomes may switch between the…

基因组学 · 定量生物学 2015-05-13 Jakub Kowalski , Wojciech Waga , Marta Zawierta , Stanislaw Cebrat

A bit-string model of biological life-histories is parallelized, with hundreds of millions of individuals. It gives the desired drastic decay of survival probabilities with increasing age for 32 age intervals.

凝聚态物理 · 物理学 2015-06-25 T. J. P. Penna , D. Stauffer

Quasispecies theory predicts that there is a critical mutation probability above which a viral population will go extinct. Above this threshold the virus loses the ability to replicate the best adapted genotype, leading to a population…

概率论 · 数学 2011-09-26 J. Theodore Cox , Rinaldo B. Schinazi

The presence of phenomena analogous to phase transition in Statistical Mechanics, has been suggested in the evolution of a polygenic trait under stabilizing selection, mutation and genetic drift. By using numerical simulations of a model…

种群与进化 · 定量生物学 2017-02-13 Annalisa Fierro , Sergio Cocozza , Antonella Monticelli , Giovanni Scala , Gennaro Miele

We study the continuous absorbing-state phase transition in the one-dimensional diffusive epidemic process via mean-field theory and Monte Carlo simulation. In this model, particles of two species (A and B) hop on a lattice and undergo…

统计力学 · 物理学 2009-11-11 Daniel Souza Maia , Ronald Dickman

We consider a moving boundary mathematical model of biological invasion. The model describes the spatiotemporal evolution of two adjacent populations: each population undergoes linear diffusion and logistic growth, and the boundary between…

种群与进化 · 定量生物学 2023-09-06 Matthew J Simpson , Nizhum Rahman , Scott W McCue , Alexander KY Tam
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