RoL:FELS:RAISE: Integrating Statistical Physics and Nonlinear Dynamics to Understand Emergent Synchrony and Phase Transitions in Biological Systems

RoL:FELS:RAISE：整合统计物理学和非线性动力学来理解生物系统中的紧急同步和相变

• 批准号: 1840221
• 负责人: Alan Hastings
• 金额: $ 100万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1840221&HistoricalAwards=false
• 关键词: RoL; FELS; RAISE; Integrating; Statistical

This research will use ideas from statistical physics to examine the transitions to synchrony (events operating in unison) across space in biological systems. Tools in physics developed primarily to explain how magnetism arises at large scale from alignment at small scale will be employed to develop detail-independent explanations for the emergence of synchrony. The work aims to determine general rules that govern the propagation of information or changes in biological systems from short-range interactions to large scales, with an emphasis on ecological systems. Phenomena in this category range from synchrony across space of oscillations in predator and prey systems to synchrony in dynamics of neural activity in the brain. Synchrony is strongly linked to extinction risk, which may either be beneficial (as in epidemic burnout) or detrimental (as for threatened species). Similarly, synchronous neural dynamics may have large implications for human health. This work addresses several fundamental questions in the life sciences: What are general rules that determine patterns of synchrony in identical biological oscillators with nearest-neighbor coupling? How do heterogeneities and system size affect the rules governing the appearance and maintenance of synchrony in coupled biological oscillators? How do correlations in randomly-determined effects across space or time affect the appearance and maintenance of synchrony in coupled biological oscillators? The project will involve junior researchers at the undergraduate, graduate, and postdoctoral levels. The investigators plan to organize an interdisciplinary workshop that will include leading and junior researchers in ecology and physics as well as other areas of biology.This project aims to build upon previous research demonstrating that the transitions in the two-dimensional Ising model of theoretical physics map onto models of spatial population dynamics on a lattice and can be used to explain data for the yield of individual trees across space and time in a pistachio orchard. The goal of the project is to elucidate a detail-independent explanation for the synchrony across space that is prevalent at many scales of biological systems. However, real biological systems have significant heterogeneities, so this work aims both to build on extensions and modifications of the Ising model as well as to investigate other models. The work will depend on extensive simulations and analysis of models from statistical physics. The overall goal of finding detail-independent universal explanations of large-scale synchronous dynamics will advance understanding of ecological systems as well as a range of other biological systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项研究将使用统计物理学的思想来检查生物系统中跨空间向同步（事件一致操作）的过渡。物理学中的工具主要用来解释磁性是如何在大尺度上从小尺度上的排列中产生的，这些工具将被用来为同步的出现提供与细节无关的解释。这项工作旨在确定控制信息传播或生物系统从短程相互作用到大尺度变化的一般规则，重点是生态系统。这类现象的范围从捕食者和猎物系统中振荡空间的同步性到大脑中神经活动动力学的同步性。同步性与灭绝风险密切相关，这可能是有益的（如流行病耗尽），也可能是有害的（如受威胁的物种）。同样，同步神经动力学可能对人类健康产生重大影响。这项工作解决了生命科学中的几个基本问题：在具有最近邻耦合的相同生物振荡器中，确定同步模式的一般规则是什么？异质性和系统大小如何影响耦合生物振荡器中控制同步外观和维护的规则？跨空间或时间的随机决定效应的相关性如何影响耦合生物振荡器中同步的外观和维持？该项目将涉及本科生、研究生和博士后水平的初级研究人员。研究人员计划组织一个跨学科的研讨会，包括生态学和物理学以及其他生物学领域的主要和初级研究人员。该项目旨在以先前的研究为基础，证明理论物理的二维Ising模型中的转换映射到晶格上的空间种群动态模型，并可用于解释开心果果园中单株树在时空上的产量数据。该项目的目标是阐明在许多尺度的生物系统中普遍存在的跨空间同步的细节独立解释。然而，真实的生物系统具有显著的异质性，因此这项工作的目的是建立在伊辛模型的扩展和修改之上，并研究其他模型。这项工作将依赖于对统计物理学模型的广泛模拟和分析。寻找大规模同步动力学的细节独立的普遍解释的总体目标将促进对生态系统以及一系列其他生物系统的理解。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Effects of abiotic heterogeneity on species densities and interaction strengths lead to different spatial biodiversity patterns

• DOI: 10.3389/fevo.2023.1071375
• 发表时间: 2023-02
• 作者: Samantha A Catella;Karen C. Abbott

Spatial phase synchronisation of pistachio alternate bearing: Common-noise-induced synchronisation of coupled chaotic oscillators

开心果交替轴承的空间相位同步：耦合混沌振荡器的共同噪声引起的同步

• DOI: 10.1016/j.chaos.2022.112764
• 发表时间: 2022
• 期刊: Solitons & Fractals
• 作者: Sakai, Kenshi;Brown, Patrick H.;Rosenstock, Todd S.;Upadhyaya, Shrinivasa K.;Hastings, Alan
• 通讯作者: Hastings, Alan

Modeling and prediction of phase shifts in noisy two-cycle oscillations

噪声二周期振荡中相移的建模和预测

• DOI: 10.1007/s00285-023-01960-2
• 发表时间: 2023
• 期刊: Journal of Mathematical Biology
• 影响因子: 1.9
• 作者: Nareddy, Vahini Reddy;Machta, Jonathan;Abbott, Karen;Esmaeili, Shadisadat;Hastings, Alan
• 通讯作者: Hastings, Alan

Dynamical Ising model of spatially coupled ecological oscillators

• DOI: 10.1098/rsif.2020.0571
• 发表时间: 2020-10-28
• 期刊: JOURNAL OF THE ROYAL SOCIETY INTERFACE
• 影响因子: 3.9
• 作者: Nareddy, Vahini Reddy;Machta, Jonathan;Hastings, Alan
• 通讯作者: Hastings, Alan

Kinetic Ising models with self-interaction: Sequential and parallel updating

具有自交互作用的动力学 Ising 模型：顺序和并行更新

• DOI: 10.1103/physreve.101.012122
• 发表时间: 2020
• 期刊: Physical Review E
• 影响因子: 2.4
• 作者: Nareddy, Vahini Reddy;Machta, Jonathan
• 通讯作者: Machta, Jonathan