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相关论文: Models of Microbial Dormancy in Biofilms and Plank…

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Dormancy is an essential strategy for microorganisms to cope with environmental stress. However, global ecosystem models typically ignore microbial dormancy, resulting in major model uncertainties. To facilitate the consideration of…

定量方法 · 定量生物学 2014-02-20 Gangsheng Wang , Melanie A. Mayes , Lianhong Gu , Christopher W. Schadt

Researchers puzzle over questions as to how rare species survive extinction, and why a significant proportion of microbial taxa are dormant. Computational simulation modeling by a genetic algorithm provides some answers. First, a…

种群与进化 · 定量生物学 2025-07-01 Sasanka Sekhar Chanda

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

Bacteria often develop distinct phenotypes to adapt to environmental stress. In particular, they can produce biofilms, dense communities of bacteria that live in a complex extracellular matrix. Bacterial biofilms provide a safe haven from…

Microbial dormancy is an evolutionary trait that has emerged independently at various positions across the tree of life. It describes the ability of a microorganism to switch to a metabolically inactive state that can withstand unfavorable…

概率论 · 数学 2020-04-08 Jochen Blath , András Tóbiás

The goal of this article is to contribute towards the conceptual and quantitative understanding of the evolutionary benefits for (microbial) populations to maintain a seed bank (consisting of dormant individuals) when facing fluctuating…

概率论 · 数学 2024-07-02 Jochen Blath , Felix Hermann , Martin Slowik

Bacterial communities such as biofilms are widely recognised as being important for survival and persistence of bacteria in harsh environments. Mechanistic models of biofilm growth indicate that the way in which the surface is seeded can…

定量方法 · 定量生物学 2007-05-23 Leah R. Johnson

We derive a physiologically structured multiscale model for biofilm development. The model has components on two spatial scales, which induce different time scales into the problem. The macroscopic behavior of the system is modeled using…

细胞行为 · 定量生物学 2023-02-14 Bruce P. Ayati , Isaac Klapper

Bacteria organize in a variety of collective states, from swarming, which has been attributed to rapid surface exploration, to biofilms, which are highly dense immobile communities attributed to stress resistance. It has been suggested that…

Biofilms are communities of bacteria that exhibit a multitude of multiscale biomechanical behaviors. Recent experimental advances have lead to characterizations of these behaviors in terms of measurements of the viscoelastic moduli of…

细胞行为 · 定量生物学 2017-07-19 Jay A. Stotsky , Vanja Dukic , David M. Bortz

We model an enclosed system of bacteria, whose motility-induced phase separation is coupled to slow population dynamics. Without noise, the system shows both static phase separation and a limit cycle, in which a rising global population…

统计力学 · 物理学 2017-11-08 Tobias Grafke , Michael E. Cates , Eric Vanden-Eijnden

From multicellular tissues to bacterial colonies, three dimensional cellular structures arise through the interaction of cellular activities and mechanical forces. Simple bacterial communities provide model systems for analyzing such…

软凝聚态物质 · 物理学 2024-01-11 Ana Carpio , Elena Cebrian , David R. Espeso , Perfecto Vidal

In many real life applications, a continuous culture bioreactor may cease to function properly due to bioclogging which is typically caused by the microbial overgrowth. This is a problem that has been largely overlooked in the chemostat…

种群与进化 · 定量生物学 2024-11-11 Xiaochen Duan , Sergei S. Pilyugin

In this paper we propose a Moran model that describes the population dynamics of two types: While the first type has a selective advantage during reproduction, the second type can avoid replacement during reproduction with some positive…

种群与进化 · 定量生物学 2026-03-02 Jochen Blath , Baptiste Le Duigou , András Tóbiás

Biological active materials such as bacterial biofilms and eukaryotic cells thrive in confined micro-spaces. Here, we show through numerical simulations that confinement can serve as a mechanical guidance to achieve distinct modes of…

软凝聚态物质 · 物理学 2019-08-05 Felix Kempf , Romain Mueller , Erwin Frey , Julia M. Yeomans , Amin Doostmohammadi

The factors contributing to the persistence and stability of life are fundamental for understanding complex living systems. Organisms are commonly challenged by harsh and fluctuating environments that are suboptimal for growth and…

种群与进化 · 定量生物学 2024-06-21 Daniel Henrik Nevermann , Claudius Gros , Jay T. Lennon

Bacteria are ubiquitous in our daily lives, either as motile planktonic cells or as immobilized surface-attached biofilms. These different phenotypic states play key roles in agriculture, environment, industry, and medicine; hence, it is…

种群与进化 · 定量生物学 2021-12-07 Jenna A. Ott , Selena Chiu , Daniel B. Amchin , Tapomoy Bhattacharjee , Sujit S. Datta

We investigate a stochastic individual-based model for the population dynamics of host-virus systems where the microbial hosts may transition into a dormant state upon contact with virions, thus evading infection. Such a contact-mediated…

种群与进化 · 定量生物学 2022-11-07 Jochen Blath , András Tóbiás

The revival mechanism in dormant bacteria is a puzzling and open issue. We propose a model of information diffusion on a regular grid where agents represent bacteria and their mutual interactions implement quorum sensing. Agents may have…

生物物理 · 物理学 2025-01-17 Eleonora Alfinito , Matteo Beccaria

Biofilms are spatially organized microorganism colonies embedded in a self-produced matrix, conferring to the microbial community resistance to environmental stresses. Motile bacteria have been observed swimming in the matrix of pathogenic…

定量方法 · 定量生物学 2022-05-24 Guillaume Ravel , Michel Bergmann , Alain Trubuil , Julien Deschamps , Romain Briandet , Simon Labarthe
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