Modeling how keystone individuals emerge and influence disease transmission

模拟关键个体如何出现并影响疾病传播

• 批准号: 9920155
• 负责人: Noa Michal Pinter-Wollman
• 金额: $ 39.27万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9920155
• 关键词: Animals; Bacteria; Behavior; Behavioral; Biology; Cells; Complex; Cost-Benefit Analysis; Country; Development; Developmental Disabilities; Differential Equation; Discipline; Disease; Epidemic; Epidemiology; Ethics; Formulation; Gene Expression; Gene Expression Profiling; Genes; Genetic; Goals; Health; Heterogeneity; Human; Immune response; Individual; Infection; Influentials; Lead; Malignant Neoplasms; Mathematics; Mediating; Microbe; Modeling; Molecular; Movement; Nature; Organism; Outcome; Performance; Personality; Phenotype; Plasmids; Play; Police; Public Health; Role; Science; Shapes; Social Interaction; Social Network; Societies; Spiders; Structure; System; Testing; Theoretical model; Tissues; Work; automated image analysis; base; behavioral study; cell behavior; disease transmission; experimental study; immune function; indexing; individual patient; individual variation; insight; member; nonhuman primate; novel; pathogen; predictive modeling; public health relevance; simulation; social; social structure; success; theories; transmission process

 DESCRIPTION (provided by applicant): Collective behavior emerges from the coordinated actions of agents comprising complex systems. Humans live in intricate societies such as states and countries, cells in a tissue collectively coordinate their actions during development, and animal groups perform collective behaviors such as flocking. Thus, understanding how collective behaviors emerge has fundamental implications for a wide range of disciplines. Traditional studies of collective behavior have treated all individuals in a group as identical agents. However, individual variation is prevalent in nature and collectives are almost always comprised of phenotypically heterogeneous individuals. This heterogeneity results in a disproportionately large influence of certain individuals referred to here as 'keystone individuals, over the collective performance of the group. Such keystone individuals are prevalent in biology, for example, 'super-spreaders' facilitate the rapid spread of epidemics in human societies, 'pioneer' cells coordinate the movement of other cells during development, and certain individuals police the behavior of others in human and non-human primate groups. Therefore, it is surprising that there has been only little theoretical or empirical work explaining the causes and consequences of keystone individuals on collective behavior. Our goal is to uncover the role of keystone individuals in shaping collective outcomes, and in particular disease dynamics, by studying the social spider, Stegodyphus dumicola, which is highly amenable to experimental manipulations. We will begin by uncovering how keystone individuals lead to tradeoffs between beneficial collective outcomes and disease transmission. We will combine empirical work with agent-based simulations and ordinary differential equations to produce a cost-benefit analysis of collective outcomes. This analysis will reveal how the effect of keystones on collective success changes when multiple collective outcomes are considered simultaneously. We will then determine the genetic and social mechanisms by which keystone individuals influence other group members. In many study systems, including ours, the keystone individual catalyzes behavioral changes in its fellow group members. Using gene expression analysis and social network theory we will uncover how keystone individuals cause behavioral changes through social interactions and influence on gene expression. In particular, we will focus on the changes caused by keystone individuals to the expression of genes that are responsible for proper immune function. Our last aim is to dissect how disease dynamics are mediated by keystone individuals. Based on model predictions, we will examine if pathogen spread dynamics are influenced by both the identity of the first infected individual (patient zero) and the behavioral rules that determine colony composition. We will test this by tracing the spread of tagged bacteria throughout the colony when a keystone or generic individual are the first infected individual. By investigating mechanisms and function using a combination of experiments and modeling, our work will fill empirical and theoretical gaps in our understanding of how keystone individuals influence collective outcomes focusing on disease spread through a society.

 描述（由申请人提供）：集体行为来自组成复杂系统的代理的协调行动。人类生活在复杂的社会中，如国家和国家，组织中的细胞在发育过程中集体协调它们的行动，动物群体执行集体行为，如群集。因此，理解集体行为是如何出现的，对广泛的学科有着根本性的影响。传统的集体行为研究将群体中的所有个体视为相同的主体。然而，个体变异在自然界中普遍存在，群体几乎总是由表型异质的个体组成。这种异质性导致了某些个体对群体的集体表现产生了不成比例的巨大影响，这些个体在这里被称为“关键个体”。这些关键个体在生物学中很普遍，例如，“超级传播者”促进了人类社会中流行病的快速传播，“先锋”细胞在发育过程中协调其他细胞的运动，某些个体在人类和非人类灵长类动物群体中监督其他人的行为。因此，令人惊讶的是，只有很少的理论或实证工作解释了集体行为中关键个体的原因和后果。我们的目标是通过研究社会蜘蛛Stegodyphus dumicola，揭示关键个体在塑造集体结果，特别是疾病动态中的作用，Stegodyphus dumicola非常适合实验操作。我们将开始揭示如何基石个人导致有益的集体成果和疾病传播之间的权衡。我们将结合联合收割机的实证工作与代理人为基础的模拟和常微分方程，以产生一个集体成果的成本效益分析。这一分析将揭示当同时考虑多个集体成果时，关键因素对集体成功的影响如何变化。然后，我们将确定关键个体影响其他群体成员的遗传和社会机制。在许多学习系统中，包括我们的学习系统，核心个体会催化其他群体成员的行为变化。利用基因表达分析和社会网络理论，我们将揭示关键个体如何通过社会互动和对基因表达的影响引起行为变化。特别是，我们将重点关注关键个体对负责适当免疫功能的基因表达所引起的变化。我们的最后一个目标是剖析疾病动力学是如何介导的基石个人。基于模型预测，我们将研究病原体传播动力学是否受到第一个感染个体（零号患者）的身份和决定菌落组成的行为规则的影响。我们将通过追踪标记细菌在整个殖民地中的传播来测试这一点，当一个关键个体或通用个体是第一个感染个体时。通过结合实验和建模来研究机制和功能，我们的工作将填补我们对关键个体如何影响集体结果的理解中的经验和理论空白，重点关注疾病在社会中的传播。

项目成果

Behavioral Hypervolumes of Predator Groups and Predator-Predator Interactions Shape Prey Survival Rates and Selection on Prey Behavior.

捕食者群体的行为超体积和捕食者与捕食者之间的相互作用影响猎物的生存率和猎物行为的选择。

• DOI: 10.1086/690292
• 发表时间: 2017
• 期刊: The American naturalist
• 作者: Pruitt,JonathanN;Howell,KimberlyA;Gladney,ShaniquaJ;Yang,Yusan;Lichtenstein,JamesLL;Spicer,MichelleElise;Echeverri,SebastianA;Pinter-Wollman,Noa
• 通讯作者: Pinter-Wollman,Noa

Harvester ant nest architecture is more strongly affected by intrinsic than extrinsic factors

• DOI: 10.1093/beheco/arac026
• 发表时间: 2022-04-13
• 期刊: BEHAVIORAL ECOLOGY
• 影响因子: 2.4
• 作者: O'Fallon, Sean;Lowell, Eva Sofia Horna;Pinter-Wollman, Noa
• 通讯作者: Pinter-Wollman, Noa

Experimental evidence of frequency-dependent selection on group behaviour.

群体行为频率依赖选择的实验证据。

• DOI: 10.1038/s41559-019-0852-z
• 发表时间: 2019
• 期刊: Nature ecology & evolution
• 影响因子: 16.8
• 作者: Pruitt,JonathanN;McEwen,BrendanL;Cassidy,StevenT;Najm,GabriellaM;Pinter-Wollman,Noa
• 通讯作者: Pinter-Wollman,Noa

Spatial proximity and prey vibratory cues influence collective hunting in social spiders.

• DOI: 10.1163/22244662-20191062
• 发表时间: 2020-12
• 期刊: Israel journal of ecology & evolution
• 影响因子: 1.2
• 作者: Wright CM;Lichtenstein JLL;Luscuskie LP;Montgomery GA;Geary S;Pruitt JN;Pinter-Wollman N;Keiser CN
• 通讯作者: Keiser CN

Collective responses to heterospecifics emerge from individual differences in aggression.

对异种特异性的集体反应源于个体攻击性的差异。

• DOI: 10.1093/beheco/arz017
• 发表时间: 2019
• 期刊: Behavioral ecology : official journal of the International Society for Behavioral Ecology
• 作者: Neumann,KevinM;Pinter-Wollman,Noa
• 通讯作者: Pinter-Wollman,Noa