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相关论文: Red Queen Coevolution on Fitness Landscapes

200 篇论文

We study the evolution of large but finite asexual populations evolving in fitness landscapes in which all mutations are either neutral or strongly deleterious. We demonstrate that despite the absence of higher fitness genotypes, adaptation…

生物物理 · 物理学 2007-05-23 Claus O. Wilke

This paper will consider the coevolution of species which are symbiotic in their interaction. In particular, we shall analyse the interaction of squirrels and oak trees, and develop a mathematical framework for determining the…

adap-org · 物理学 2008-02-03 Boon Tiong Melvin Leok

Resources are rarely distributed uniformly within a population. Heterogeneity in the concentration of a drug, the quality of breeding sites, or wealth can all affect evolutionary dynamics. In this study, we represent a collection of…

种群与进化 · 定量生物学 2022-02-18 Kamran Kaveh , Alex McAvoy , Krishnendu Chatterjee , Martin A. Nowak

Species sharing a prey or a predator species may go extinct due to exploitative or apparent competition. We examine whether evolution of the shared species acts as a coexistence mechanism and to what extent the answer depends on the genetic…

种群与进化 · 定量生物学 2019-02-12 Sebastian J. Schreiber , Swati Patel , Casey terHorst

Evolution is a fundamental process that shapes the biological world we inhabit, and reinforcement learning is a powerful tool used in artificial intelligence to develop intelligent agents that learn from their environment. In recent years,…

神经与进化计算 · 计算机科学 2023-06-19 Taboubi Ahmed

Predicting the adaptation of populations to a changing environment is crucial to assess the impact of human activities on biodiversity. Many theoretical studies have tackled this issue by modeling the evolution of quantitative traits…

偏微分方程分析 · 数学 2022-06-28 Jimmy Garnier , O Cotto , T Bourgeron , E Bouin , T Lepoutre , O Ronce , V Calvez

We consider the evolutionary trajectories traced out by an infinite population undergoing mutation-selection dynamics in static, uncorrelated random fitness landscapes. Starting from the population that consists of a single genotype, the…

种群与进化 · 定量生物学 2009-11-11 Kavita Jain , Joachim Krug

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

Evolution depends on the fitness of organisms, the expected rate of reproducing. Directly getting offspring is the most basic form of fitness, but fitness can also be increased indirectly by helping genetically related individuals (such as…

种群与进化 · 定量生物学 2015-12-17 J. H. van Hateren

Evolution is a dynamic process. The two classical forces of evolution are mutation and selection. Assuming small mutation rates, evolution can be predicted based solely on the fitness differences between phenotypes. Predicting an…

种群与进化 · 定量生物学 2015-03-23 Benedikt Bauer , Chaitanya S. Gokhale

Species coexistence is one of the central themes in modern ecology. Coexistence is a prerequisite of biological diversity. However, the question arises how biodiversity can be reconciled with the statement of competition theory, which…

种群与进化 · 定量生物学 2007-08-17 Dalius Balciunas

We explore the connection between migration patterns and emergent behaviors of evolving populations in spatially heterogeneous environments. Despite extensive studies in ecologically and medically important systems, a unifying framework…

种群与进化 · 定量生物学 2024-01-10 Casey O. Barkan , Shenshen Wang

Complex networks serve as abstract models for understanding real-world complex systems and provide frameworks for studying structured dynamical systems. This article addresses limitations in current studies on the exploration of individual…

社会与信息网络 · 计算机科学 2025-10-14 Bin Pi , Liang-Jian Deng , Minyu Feng , Matjaž Perc , Jürgen Kurths

Adaptive networks appear in many biological applications. They combine topological evolution of the network with dynamics in the network nodes. Recently, the dynamics of adaptive networks has been investigated in a number of parallel…

物理与社会 · 物理学 2008-01-23 Thilo Gross , Bernd Blasius

This work presents a population genetic model of evolution, which includes haploid selection, mutation, recombination, and drift. The mutation-selection equilibrium can be expressed exactly in closed form for arbitrary fitness functions…

种群与进化 · 定量生物学 2023-02-28 Jenny M. Poulton , Lee Altenberg , Chris Watkins

Genetic redundancy is ubiquitous and can be found in any organism. However, it has been argued that genetic redundancy reduces total population fitness, and therefore, redundancy is unlikely to evolve. In this letter, we study an…

种群与进化 · 定量生物学 2015-06-15 Nen Saito , Shuji Ishihara , Kunihiko Kaneko

We study the adaptation dynamics of an initially maladapted population evolving via the elementary processes of mutation and selection. The evolution occurs on rugged fitness landscapes which are defined on the multi-dimensional genotypic…

种群与进化 · 定量生物学 2009-11-13 Kavita Jain

Simulations of the coevolution of many interacting species are performed using the Webworld model. The model has a realistic set of predator-prey equations that describe the population dynamics of the species for any structure of the food…

适应与自组织系统 · 物理学 2007-05-23 Christopher Quince , Paul G. Higgs , Alan J. McKane

Character evolution that affects ecological community interactions often occurs contemporaneously with temporal changes in population size, potentially altering the very nature of those dynamics. Such eco-evolutionary processes may be most…

种群与进化 · 定量生物学 2012-06-12 Laura E. Jones , Lutz Becks , Stephen P. Ellner , Nelson G. Hairston , Takehito Yoshida , Gregor F. Fussmann

Evolutionary trajectories and phenotypic states available to cell populations are ultimately dictated by intermolecular interactions between DNA, RNA, proteins, and other molecular species. Here we study how evolution of gene regulation in…

种群与进化 · 定量生物学 2014-08-19 Allan Haldane , Michael Manhart , Alexandre V. Morozov