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Biological organisms have to cope with stochastic variations in both the external environment and the internal population dynamics. Theoretical studies and laboratory experiments suggest that population diversification could be an effective…

种群与进化 · 定量生物学 2017-09-13 BingKan Xue , Stanislas Leibler

Organisms adapt to fluctuating environments by regulating their dynamics, and by adjusting their phenotypes to environmental changes. We model population growth using multitype branching processes in random environments, where the offspring…

概率论 · 数学 2009-12-08 Clément Dombry , Christian Mazza , Vincent Bansaye

We study a minimal model for the growth of a phenotypically heterogeneous population of cells subject to a fluctuating environment in which they can replicate (by exploiting available resources) and modify their phenotype within a given…

种群与进化 · 定量生物学 2019-01-23 Andrea De Martino , Thomas Gueudré , Mattia Miotto

Many biological systems regulate phenotypic heterogeneity as a fitness-maximising strategy in uncertain and dynamic environments. Analysis of such strategies is typically confined both to a discrete set of environmental conditions, and to a…

种群与进化 · 定量生物学 2025-07-02 Alexander P Browning , Sara Hamis

Dormancy is a widespread adaptive strategy that enables populations to persist in fluctuating environments, yet how its benefits depend on the temporal structure of environmental variability remains unclear. We examine how dormancy…

种群与进化 · 定量生物学 2025-12-08 Jorge Hidalgo , Lorenzo Fant , Rafael Rubio de Casas , Miguel A. Muñoz

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…

Biological organisms exhibit diverse strategies for adapting to varying environments. For example, a population of organisms may express the same phenotype in all environments (`unvarying strategy'), or follow environmental cues and express…

种群与进化 · 定量生物学 2022-06-08 BingKan Xue , Pablo Sartori , Stanislas Leibler

In ecology, species can mitigate their extinction risks in uncertain environments by diversifying individual phenotypes. This observation is quantified by the theory of bet-hedging, which provides a reason for the degree of phenotypic…

种群与进化 · 定量生物学 2019-06-19 Paula Villa Martín , Miguel A. Muñoz , Simone Pigolotti

In biology phenotypic switching is a common bet-hedging strategy in the face of uncertain environmental conditions. Existing mathematical models often focus on periodically changing environments to determine the optimal phenotypic response.…

种群与进化 · 定量生物学 2018-03-14 Peter G. Hufton , Yen Ting Lin , Tobias Galla

Ecosystems, which are intricate amalgams of biological communities and their surrounding environments, continually evolve under the influence of their myriad interactions. The world is currently facing intensifying environmental…

生物物理 · 物理学 2023-11-23 Ikumi Kobayashi

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

Essential to each other, growth and exploration are jointly observed in populations, be it alive such as animals and cells or inanimate such as goods and money. But their ability to move, crucial to cope with uncertainty and optimize…

统计力学 · 物理学 2020-10-06 Thomas Gueudré , David Martin

In biology and ecology, individuals or communities of individuals living in unpredictable environments often alternate between different evolutionary strategies to spread and reduce risks. Such behavior is commonly referred to as…

种群与进化 · 定量生物学 2015-03-11 Jorge Hidalgo , Simone Pigolotti , Miguel A. Munoz

Adaptation in a fluctuating environment is a process of fueling environmental information to gain fitness. Living systems have gradually developed strategies for adaptation from random and passive diversification of the phenotype to more…

种群与进化 · 定量生物学 2017-07-12 Tetsuya J. Kobayashi , Yuki Sughiyama

Populations evolving in fluctuating environments face the fundamental challenge of balancing adaptation to current conditions against preparation for uncertain futures. Here, we study microbial evolution in partially predictable…

种群与进化 · 定量生物学 2025-08-04 Roaa Mohmmed Yagb Omer , Onofrio Mazzarisi , Martina Dal Bello , Jacopo Grilli

Phase variation, or stochastic switching between alternative states of gene expression, is common among microbes, and may be important in coping with changing environments. We use a theoretical model to assess whether such switching is a…

种群与进化 · 定量生物学 2010-04-13 Paolo Visco , Rosalind J. Allen , Satya N. Majumdar , Martin R. Evans

An organism that is newly introduced into an existing population has a survival probability that is dependent on both the population density of its environment and the competition it experiences with the members of that population.…

种群与进化 · 定量生物学 2024-12-17 Jason M. Gray , Rowan J. Barker-Clarke , Jacob G. Scott , Michael Hinczewski

The evolutionary balance between innate and learned behaviors is highly intricate, and different organisms have found different solutions to this problem. We hypothesize that the emergence and exact form of learning behaviors is naturally…

神经元与认知 · 定量生物学 2023-03-14 Emmanouil Giannakakis , Sina Khajehabdollahi , Anna Levina

Both evolution and ecology have long been concerned with the impact of variable environmental conditions on observed levels of genetic diversity within and between species. We model the evolution of a quantitative trait under selection that…

种群与进化 · 定量生物学 2014-11-17 Hannes Svardal , Claus Rueffler , Joachim Hermisson

Ecosystems frequently display the coexistence of diverse species under resource competition, typically resulting in skewed distributions of rarity and abundance. A potential driver of such coexistence is environmental fluctuations that…

种群与进化 · 定量生物学 2025-08-07 Davide Zanchetta , Deepak Gupta , Sofia Moschin , Samir Suweis , Amos Maritan , Sandro Azaele
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