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相关论文: Optimal Mutation Rates in Dynamic Environments

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We investigate a model of evolutionary dynamics on a smooth landscape which features a ``mutator'' allele whose effect is to increase the mutation rate. We show that the expected proportion of mutators far from equilibrium, when the fitness…

patt-sol · 物理学 2009-10-30 David A. Kessler , Herbert Levine

We study the evolutionary dynamics of a maladapted population of self-replicating sequences on strongly correlated fitness landscapes. Each sequence is assumed to be composed of blocks of equal length and its fitness is given by a linear…

种群与进化 · 定量生物学 2015-05-18 Sarada Seetharaman , Kavita Jain

Biological systems are modular, and this modularity affects the evolution of biological systems over time and in different environments. We here develop a theory for the dynamics of evolution in a rugged, modular fitness landscape. We show…

种群与进化 · 定量生物学 2015-06-23 Jeong-Man Park , Man Chen , Dong Wang , Michael W. Deem

The persistence of life requires populations to adapt at a rate commensurate with the dynamics of their environment. Successful populations that inhabit highly variable environments have evolved mechanisms to increase the likelihood of…

基因组学 · 定量生物学 2007-05-23 Taison Tan , Leonard D. Bogarad , Michael W. Deem

The parallel mutation-selection evolutionary dynamics, in which mutation and replication are independent events, is solved exactly in the case that the Malthusian fitnesses associated to the genomes are described by the Random Energy Model…

生物物理 · 物理学 2009-10-14 David B. Saakian , José F. Fontanari

In order to grow in any given environment, bacteria need to collect information about the medium composition and implement suitable growth strategies by adjusting their regulatory and metabolic degrees of freedom. In the standard sense,…

生物物理 · 物理学 2023-03-22 Anna Paola Muntoni , Andrea De Martino

Textual analysis of typical microbial genomes reveals that they have the statistical characteristics of a DNA sequence of a much shorter length. This peculiar property supports an evolutionary model in which a genome evolves by random…

生物物理 · 物理学 2009-11-07 L. C. Hsieh , L. F. Luo , F. M. Ji , H. C. Lee

Many mathematical models of evolution assume that all individuals experience the same environment. Here, we study the Moran process in heterogeneous environments. The population is of finite size with two competing types, which are exposed…

种群与进化 · 定量生物学 2018-12-19 Kamran Kaveh , Alex McAvoy , Martin A. Nowak

Any organism is embedded in an environment that changes over time. The timescale for and statistics of environmental change, the precision with which the organism can detect its environment, and the costs and benefits of particular protein…

定量方法 · 定量生物学 2023-07-19 David A. Sivak , Matt Thomson

We investigate the evolution of populations of random Boolean networks under selection for robustness of the dynamics with respect to the perturbation of the state of a node. The fitness landscape contains a huge plateau of maximum fitness…

种群与进化 · 定量生物学 2009-11-13 Tamara Mihaljev , Barbara Drossel

This Letter studies the quasispecies dynamics of a population capable of genetic repair evolving on a time-dependent fitness landscape. We develop a model that considers an asexual population of single-stranded, conservatively replicating…

种群与进化 · 定量生物学 2009-11-13 Pavel Gorodetsky , Emmanuel Tannenbaum

The adaptation rate in theoretical models of biological evolution increases with the mutation rate but only to a point when mutations into lethal states cause extinction. One would expect that removing such states should be beneficial for…

种群与进化 · 定量生物学 2024-06-27 Viktoria Blavatska , Bartlomiej Waclaw

We study the dynamics of an age-structured population in which the life expectancy of an offspring may be mutated with respect to that of its parent. When advantageous mutation is favored, the average fitness of the population grows…

统计力学 · 物理学 2009-10-31 W. Hwang , P. L. Krapivsky , S. Redner

We introduce a new model of evolution on a fitness landscape possessing a tunable degree of neutrality. The model allows us to study the general properties of molecular species undergoing neutral evolution. We find that a number of…

adap-org · 物理学 2007-05-23 M. E. J. Newman , Robin Engelhardt

The idea that there are any large-scale trends in the evolution of biological organisms is highly controversial. It is commonly believed, for example, that there is a large-scale trend in evolution towards increasing complexity, but…

神经与进化计算 · 计算机科学 2021-06-08 Peter D. Turney

We study biological evolution in a high-dimensional genotype space in the regime of rare mutations and strong selection. The population performs an uphill walk which terminates at local fitness maxima. Assigning fitness randomly to…

种群与进化 · 定量生物学 2015-05-28 Johannes Neidhart , Joachim Krug

Mutations can arise from the chance misincorporation of nucleotides during DNA replication or from DNA lesions that are not repaired correctly. We introduce a model that relates the source of mutations to their accumulation with cell…

种群与进化 · 定量生物学 2015-07-27 Ziyue Gao , Minyoung J. Wyman , Guy Sella , Molly Przeworski

We consider the accumulation of beneficial and deleterious mutations in large asexual populations. The rate of adaptation is affected by the total mutation rate, proportion of beneficial mutations and population size $N$. We show that…

概率论 · 数学 2010-10-18 Feng Yu , Alison Etheridge , Charles Cuthbertson

Evolutionary algorithms have been widely applied for solving dynamic constrained optimization problems (DCOPs) as a common area of research in evolutionary optimization. Current benchmarks proposed for testing these problems in the…

神经与进化计算 · 计算机科学 2019-07-10 Maryam Hasani-Shoreh , María-Yaneli Ameca-Alducin , Wilson Blaikie , Frank Neumann , Marc Schoenauer

We investigate a selection-mutation model for the dynamics of technological innovation,a special case of reaction-diffusion equations. Although mutations are assumed to increase the variety of technologies, not their average success…

统计力学 · 物理学 2007-05-23 Dirk Helbing , Martin Treiber , Nicole J. Saam