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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

One of the major challenges in neuroscience is to determine how noise that is present at the molecular and cellular levels affects dynamics and information processing at the macroscopic level of synaptically coupled neuronal populations.…

无序系统与神经网络 · 物理学 2014-06-12 Paul C. Bressloff , Jay M. Newby

Stochastic phenotype switching has been suggested to play a beneficial role in microbial populations by leading to the division of labour among cells, or ensuring that at least some of the population survives an unexpected change in…

种群与进化 · 定量生物学 2016-02-02 Andrew C. Tadrowski , Martin R. Evans , Bartlomiej Waclaw

How fast does a population evolve from one fitness peak to another? We study the dynamics of evolving, asexually reproducing populations in which a certain number of mutations jointly confer a fitness advantage. We consider the time until a…

种群与进化 · 定量生物学 2010-03-31 Chaitanya S. Gokhale , Yoh Iwasa , Martin A. Nowak , Arne Traulsen

Motivated by recent understandings in the stochastic natures of gene expression, biochemical signaling, and spontaneous reversible epigenetic switchings, we study a simple deterministic cell population dynamics in which subpopulations grow…

种群与进化 · 定量生物学 2014-08-04 Hong Qian

Population genetics struggles to model extinction; standard models track the relative rather than absolute fitness of genotypes, while the exceptions describe only the short-term transition from imminent doom to evolutionary rescue. But…

种群与进化 · 定量生物学 2017-02-20 Jason Bertram , Kevin Gomez , Joanna Masel

Genotypic fitness landscapes are constructed by assessing the fitness of all possible combinations of a given number of mutations. In the last years, several experimental fitness landscapes have been completely resolved. As fitness…

Living species, ranging from bacteria to animals, exist in environmental conditions that exhibit spatial and temporal heterogeneity which requires them to adapt. Risk-spreading through spontaneous phenotypic variations is a known concept in…

Natural selection drives populations towards higher fitness, but crossing fitness valleys or plateaus may facilitate progress up a rugged fitness landscape involving epistasis. We investigate quantitatively the effect of subdividing an…

种群与进化 · 定量生物学 2014-08-18 Anne-Florence Bitbol , David J. Schwab

Species or population that proliferate faster than others become dominant in numbers. Catalysis allows catalytic sets within a molecular reaction network to dominate the non catalytic parts of the network by processing most of the available…

细胞行为 · 定量生物学 2016-08-31 Rudolf Hanel

Background: Recent experimental and theoretical studies have shown that small asexual populations evolving on complex fitness landscapes may achieve a higher fitness than large ones due to the increased heterogeneity of adaptive…

种群与进化 · 定量生物学 2011-07-12 Kavita Jain , Joachim Krug , Su-Chan Park

Phenotype-switching with and without sensing environment is a ubiquitous strategy of organisms to survive in fluctuating environment. Fitness of a population of organisms with phenotype-switching may be constrained and restricted by hidden…

种群与进化 · 定量生物学 2016-01-20 Tetsuya J. Kobayashi , Yuki Sughiyama

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

A model for the evolution of a finite population in a rugged fitness landscape is introduced and solved. The population is trapped in an evolutionary loop, alternating periods of stasis to periods in which it performs adaptive walks. The…

无序系统与神经网络 · 物理学 2009-10-31 Luca Peliti

Predicting fitness of biologically-active populations, communities or systems in fluctuating environments is a long-standing challenge. Phenotypic plasticity and bet-hedging strategy, two key evolutionary traits living systems harness to…

种群与进化 · 定量生物学 2024-10-24 Sumana Bhattacharyya , Uttam Singh , Anupam Sengupta

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 investigate the evolutionary dynamics of a finite population of sequences adapting to NK fitness landscapes. We find that, unlike in the case of an infinite population, the average fitness in a finite population is maximized at a small…

生物物理 · 物理学 2009-11-07 Paulo R. A. Campos , Christoph Adami , Claus O. Wilke

Epistasis occurs when the effect of a mutation depends on its carrier's genetic background. Despite increasing evidence that epistasis for fitness is common, its role during evolution is contentious. Fitness landscapes, mappings of genotype…

种群与进化 · 定量生物学 2022-06-13 Claudia Bank

In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. The right selection pressure is critical in ensuring sufficient…

人工智能 · 计算机科学 2007-05-23 Marcus Hutter

The mechanisms by which adaptive phenotypes spread within an evolving population after their emergence are understood fairly well. Much less is known about the factors that influence the evolutionary accessibility of such phenotypes, a…

种群与进化 · 定量生物学 2015-05-13 Wilfred Ndifon , Joshua B. Plotkin , Jonathan Dushoff