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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

We study a general setting of neutral evolution in which the population is of finite, constant size and can have spatial structure. Mutation leads to different genetic types ("traits"), which can be discrete or continuous. Under minimal…

种群与进化 · 定量生物学 2018-11-02 Alex McAvoy , Ben Adlam , Benjamin Allen , Martin A. Nowak

We introduce and analyze a general model of a population evolving over a network of selectively neutral genotypes. We show that the population's limit distribution on the neutral network is solely determined by the network topology and…

adap-org · 物理学 2009-10-31 Erik van Nimwegen , James P. Crutchfield , Martijn Huynen

Environmental changes greatly influence the evolution of populations. Here, we study the dynamics of a population of two strains, one growing slightly faster than the other, competing for resources in a time-varying binary environment…

种群与进化 · 定量生物学 2020-07-28 Ami Taitelbaum , Robert West , Michael Assaf , Mauro Mobilia

While Neutral Theory famously describes the number of discrete genetic differences in populations, we consider the number of genetic backgrounds under which such differences are observed - setting limits to the generalizability of their…

种群与进化 · 定量生物学 2023-03-21 Andre F. Ribeiro

Environment plays a fundamental role in the competition for resources, and hence in the evolution of populations. Here, we study a well-mixed, finite population consisting of two strains competing for the limited resources provided by an…

种群与进化 · 定量生物学 2017-10-16 Karl Wienand , Erwin Frey , Mauro Mobilia

Standard neutral population genetics theory with a strictly fixed population size has important limitations. An alternative model that allows independently fluctuating population sizes and reproduces the standard neutral evolution is…

种群与进化 · 定量生物学 2017-03-08 Thiparat Chotibut , David R. Nelson

We consider the effect of network structure on the evolution of a population. Models of this kind typically consider a population of fixed size and distribution. Here we consider eco-evolutionary dynamics where population size and…

种群与进化 · 定量生物学 2023-04-05 Karan Pattni , Wajid Ali , Mark Broom , Kieran J Sharkey

Large sets of genotypes give rise to the same phenotype because phenotypic expression is highly redundant. Accordingly, a population can accept mutations without altering its phenotype, as long as thegenotype mutates into another one on the…

种群与进化 · 定量生物学 2015-02-18 Susanna Manrubia , José A. Cuesta

Natural selection and random drift are competing phenomena for explaining the evolution of populations. Combining a highly fit mutant with a population structure that improves the odds that the mutant spreads through the whole population…

种群与进化 · 定量生物学 2009-08-14 Valmir C. Barbosa , Raul Donangelo , Sergio R. Souza

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

Evolution occurs in populations of reproducing individuals. It is well known that population structure can affect evolutionary dynamics. Traditionally, natural selection is studied between mutants that differ in reproductive rate, but are…

种群与进化 · 定量生物学 2021-11-23 Josef Tkadlec , Kamran Kaveh , Krishnendu Chatterjee , Martin A. Nowak

Environmental variability greatly influences the eco-evolutionary dynamics of a population, i.e. it affects how its size and composition evolve. Here, we study a well-mixed population of finite and fluctuating size whose growth is limited…

种群与进化 · 定量生物学 2021-10-14 Karl Wienand , Erwin Frey , Mauro Mobilia

The environment in which a population evolves can have a crucial impact on selection. We study evolutionary dynamics in finite populations of fixed size in a changing environment. The population dynamics are driven by birth and death…

种群与进化 · 定量生物学 2014-09-01 Peter Ashcroft , Philipp M Altrock , Tobias Galla

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

Environmental variations can significantly influence how populations compete for resources, and hence shape their evolution. Here, we study population dynamics subject to a fluctuating environment modeled by a varying carrying capacity…

种群与进化 · 定量生物学 2023-04-14 Ami Taitelbaum , Robert West , Mauro Mobilia , Michael Assaf

We study the limit of many small mutations of a model of population dynamics. The population is structured by phonological traits and is spatially inhomogeneous. The various sub-populations compete for the same nutrient which diffuses…

偏微分方程分析 · 数学 2016-01-19 Pierre-Emmanuel Jabin , Raymond Strother Schram

Due to stochastic fluctuations arising from finite population size, known as genetic drift, the ability of a population to explore a rugged fitness landscape depends on its size. In the weak mutation regime, while the mean steady-state…

种群与进化 · 定量生物学 2024-12-30 Richard Servajean , Anne-Florence Bitbol

Conventional population genetics considers the evolution of a limited number of genotypes corresponding to phenotypes with different fitness. As model phenotypes, in particular RNA secondary structure, have become computationally tractable,…

种群与进化 · 定量生物学 2008-04-22 Gergely J. Szollosi , Imre Derenyi

Non-selective effects, like genetic drift, are an important factor in modern conceptions of evolution, and have been extensively studied for constant population sizes. Here, we consider non-selective evolution in the case of growing…

种群与进化 · 定量生物学 2017-09-04 Karl Wienand , Matthias Lechner , Felix Becker , Heinrich Jung , Erwin Frey
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