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Bacteria are prolific at colonizing diverse surfaces under a widerange of environmental conditions, and exhibit fascinating examples of self-organization across scales. Though it has recently attracted considerable interest, the role of…

软凝聚态物质 · 物理学 2024-03-25 M. T. Khan , J. Cammann , A. Sengupta , E. Renzi , M. G. Mazza

The tolerance of bacterial populations to biocidal or antibiotic treatment has been well documented in both biofilm and planktonic settings. However, there is still very little known about the mechanisms that produce this tolerance.…

种群与进化 · 定量生物学 2008-07-15 Patrick De Leenheer , Nick Cogan

This paper deals with the derivation of a collective model of cell populations out of an individual-based description of the underlying physical particle system. By looking at the spatial distribution of cells in terms of time-evolving…

数学物理 · 物理学 2014-11-12 Annachiara Colombi , Marco Scianna , Andrea Tosin

Biological systems, unlike physical or chemical systems, are characterized by the very inhomogeneous distribution of their components. The immune system, in particular, is notable for self-organizing its structure. Classically, the dynamics…

统计力学 · 物理学 2007-05-23 Yoram Louzoun , Sorin Solomon , Henri Atlan , Irun R. Cohen

We study the chemostat model for one species competing for one nutrient using a Lyapunov-type analysis. We design the dilution rate function so that all solutions of the chemostat converge to a prescribed periodic solution. In terms of…

最优化与控制 · 数学 2007-05-23 Frederic Mazenc , Michael Malisoff , Patrick De Leenheer

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

Various bacterial strains (e.g. strains belonging to the genera Bacillus, Paenibacillus, Serratia and Salmonella) exhibit colonial branching patterns during growth on poor semi-solid substrates. These patterns reflect the bacterial…

凝聚态物理 · 物理学 2009-10-31 Yonathan Kozlovsky , Inon Cohen , Ido Golding , Eshel Ben-Jacob

Microbial ecosystems are remarkably diverse, stable, and often consist of a balanced mixture of core and peripheral species. Here we propose a conceptual model exhibiting all these emergent properties in quantitative agreement with real…

种群与进化 · 定量生物学 2018-04-18 Akshit Goyal , Sergei Maslov

Bacteria generally live in complicated structures called biofilms, consisting of communicating bacterial colonies and extracellular polymeric substance (EPS). Since biofilms are related to detrimental effects such as infection or antibiotic…

定量方法 · 定量生物学 2023-11-07 Fatih Gulec , Andrew W. Eckford

Periodic reversals of the direction of motion in systems of self-propelled rod shaped bacteria enable them to effectively resolve traffic jams formed during swarming and maximize their swarming rate. In this paper, a connection is found…

生物物理 · 物理学 2015-03-17 Richard Gejji , Pavel M. Lushnikov , Mark Alber

Growth in bacterial populations generally depends on the environment (availability and quality of nutrients, presence of a toxic inhibitor, product inhibition..). Here, we build a model to describe the action of a bacteriostatic antibiotic,…

生物物理 · 物理学 2025-06-25 Barnabe Ledoux , David Lacoste

Modelling, analysing and inferring triggering mechanisms in population reproduction is fundamental in many biological applications. It is also an active and growing research domain in mathematical biology. In this chapter, we review the…

偏微分方程分析 · 数学 2023-01-09 Marie Doumic , Marc Hoffmann

We propose a model for bacterial Quorum Sensing based on an auxiliary electrostatic-like interac-tion originating from a fictitious electrical charge that represents bacteria activity. A cooperative mechanism for charge/activity exchange is…

生物物理 · 物理学 2023-02-22 Eleonora Alfinito , Maura Cesaria , Matteo Beccaria

Predictive modeling is the key factor for saving time and resources with respect to manufacturing processes such as fermentation processes arising e.g.\ in food and chemical manufacturing processes. According to Zhang et al. (2002), the…

偏微分方程分析 · 数学 2021-04-15 Christina Schenk , Volker H. Schulz

Biomolecular condensates self-assemble when proteins and nucleic acids spontaneously demix to form droplets within the crowded intracellular milieu. This simple mechanism underlies the formation of a wide variety of membraneless…

统计力学 · 物理学 2021-06-30 William M. Jacobs

A major goal of modern computational biology is to simulate the collective behaviour of large cell populations starting from the intricate web of molecular interactions occurring at the microscopic level. In this paper we describe a…

生物物理 · 物理学 2007-05-23 Roberto Chignola , Edoardo Milotti

The emergent spatial patterns generated by growing bacterial colonies have been the focus of intense study in physics during the last twenty years. Both experimental and theoretical investigations have made possible a clear qualitative…

统计力学 · 物理学 2011-08-10 Juan A. Bonachela , Carey D. Nadell , Joao B. Xavier , Simon A. Levin

The spreading of bacterial populations is central to processes in agriculture, the environment, and medicine. However, existing models of spreading typically focus on cells in unconfined settings--despite the fact that many bacteria inhabit…

种群与进化 · 定量生物学 2022-06-07 Daniel B. Amchin , Jenna A. Ott , Tapomoy Bhattacharjee , Sujit S. Datta

The dynamics of growth of bacterial populations has been extensively studied for planktonic cells in well-agitated liquid culture, in which all cells have equal access to nutrients. In the real world, bacteria are more likely to live in…

种群与进化 · 定量生物学 2017-11-01 Xinxian Shao , Andrew Mugler , Justin Kim , Ha Jun Jeong , Bruce Levin , Ilya Nemenman

In the growth of bacterial colonies, a great variety of complex patterns are observed in experiments, depending on external conditions and the bacterial species. Typically, existing models employ systems of reaction-diffusion equations or…

生物物理 · 物理学 2019-11-12 Lautaro Vassallo , David Hansmann , Lidia A. Braunstein