Emergence of collective multi-level network dynamics in a model society: From brain transcriptome to social behavior

模型社会中集体多层次网络动力学的出现：从大脑转录组到社会行为

• 批准号: 9349535
• 负责人: Nigel Goldenfeld
• 金额: $ 33.31万
• 依托单位: UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-24 至 2019-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9349535
• 关键词: Affect; Aggressive behavior; Algorithms; Autistic Disorder; Bees; Behavior; Behavior Control; Behavior Disorders; Behavior monitoring; Behavioral; Biological; Biology; Brain; Characteristics; Communication; Complex; Decentralization; Development Plans; Disease; Emotional; Endocrine; Family; Feedback; Friends; Gases; Gene Expression; Gene Targeting; Genes; Genetic Transcription; Genomics; Health; Honey; Hormones; Human; Impairment; Individual; Institutes; Intervention; Laboratories; Measures; Mediating; Methods; Modeling; Molecular; Molecular Models; Monitor; Neurosecretory Systems; Organism; Outcomes Research; Pathologic; Pathology; Pathway interactions; Plasticizers; Play; Predictive Factor; Process; Property; Psyche structure; RNA Interference; Regulation; Role; Signal Transduction; Social Behavior; Social Change; Social Environment; Social Interaction; Social Network; Societies; Stimulus; Structure; System; Systems Biology; Testing; Theoretical model; Time; base; behavior influence; behavioral plasticity; caregiving; experience; insight; knock-down; member; molecular modeling; multilevel analysis; network architecture; network models; new technology; novel; public health relevance; response; simulation; social; social anxiety; social group; transcription factor; transcriptome; transcriptomics

 DESCRIPTION (provided by applicant): Social experiences impact nearly every facet of human behavior, and social adversity can have devastating and long-lasting health effects on mental and emotional health. A comprehensive framework of how social interactions are processed at the molecular, individual behavioral and societal levels is thus essential to fully understand both healthy and impaired social behavior. Plasticity in transcriptional regulatory networks plays a crucial and deeply conserved role in body plan development, and we hypothesize that it also underlies social behavior (another highly plastic property of an organism's biology). To test this hypothesis, we will use an established model of social behavior (the honey bee) to explore the bidirectional flow of information between three levels of biological organization: 1) brain neurogenomic state, 2) individual behavior, and 3) emergent properties of the society. Aim 1 will examine reciprocal feedback between behavioral state and the regulatory functions of two transcription factors (TFs) predicted in previous systems biology studies to play prominent roles in brain gene expression networks regulating social behavior. RNA interference will be used to knock down expression of these TFs and neuroendocrine-mediated manipulation of behavioral state, and to thereby test the hypothesis that social behavior is controlled by context-dependent rewiring of brain transcriptional regulatory networks. Aim 2 will use a novel technology to automatically monitor the social interactions of every bee in the colony, in order to characterize how alterations in the neurogenomic and behavioral state of a set of focal bees (as done in Aim 1) influence the social interactions and brain gene expression of untreated individuals. Aim 3 will then generate novel algorithms to describe the emergent properties of the social network as a whole, and use them to construct a simulation of how the proportion of individuals in a particular behavioral or neurogenomic state influences the global properties of the social network. These analyses will allow us to identify mechanisms of information flow from the transcriptome to the social network, as well as determine how a social network responds to changes in social group composition. The outcome of this research will be a multi-level model of the reciprocal relationships between brain transcriptional regulatory networks, individual behavior, and societal function. This model will provide new insights into how genes influence social behavior and how an individual's neurogenomic and behavioral states influence social groups, with important implications for our understanding of how healthy and pathological behavior influence societal function.

 社会经历几乎影响人类行为的各个方面，社会逆境可能对心理和情绪健康产生破坏性和持久的健康影响。因此，在分子、个人行为和社会层面上如何处理社会互动的综合框架对于充分理解健康和受损的社会行为至关重要。转录调控网络中的可塑性在身体计划发展中起着至关重要且高度保守的作用，我们假设它也是社会行为（生物体生物学的另一个高度可塑性）的基础。为了验证这一假设，我们将使用既定的社会行为模型（蜜蜂）来探索生物学三个层面之间的双向信息流动 组织：1）大脑神经基因组状态，2）个体行为，3）社会的涌现属性。目的1将研究行为状态和两个转录因子（TF）的调节功能之间的相互反馈，这两个转录因子在以前的系统生物学研究中预测在调节社会行为的大脑基因表达网络中发挥重要作用。RNA干扰将被用来敲低这些转录因子的表达和神经内分泌介导的行为状态的操纵，从而测试社会行为是由大脑转录调控网络的上下文依赖性重新布线控制的假设。Aim 2将使用一种新技术来自动监控殖民地中每只蜜蜂的社会互动， 描述一组重点蜜蜂的神经基因组和行为状态的改变（如目标1所述）如何影响未治疗个体的社会互动和大脑基因表达。然后，目标3将生成新的算法来描述整个社交网络的涌现属性，并使用它们来构建一个模拟，以模拟处于特定行为或神经基因组状态的个体比例如何影响社交网络的全局属性。这些分析将使我们能够确定从转录组到社交网络的信息流机制，以及确定社交网络如何响应社会群体组成的变化。这项研究的结果将是一个多层次的模型之间的相互关系的大脑转录调控网络，个人行为和社会功能。该模型将为基因如何影响社会行为以及个体的神经基因组和行为状态如何影响社会群体提供新的见解，对我们理解健康和病理行为如何影响社会功能具有重要意义。

项目成果

Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks.

• DOI: 10.1073/pnas.1713568115
• 发表时间: 2018-02-13
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1
• 作者: Gernat T;Rao VD;Middendorf M;Dankowicz H;Goldenfeld N;Robinson GE
• 通讯作者: Robinson GE

Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior.

• DOI: 10.1038/s41598-022-26825-4
• 发表时间: 2023-01-27
• 期刊: SCIENTIFIC REPORTS
• 影响因子: 4.6
• 作者: Gernat, Tim;Jagla, Tobias;Jones, Beryl M. M.;Middendorf, Martin;Robinson, Gene E. E.
• 通讯作者: Robinson, Gene E. E.

Neural and Molecular Mechanisms of Biological Embedding of Social Interactions.

社会互动的生物嵌入的神经和分子机制。

• DOI: 10.1146/annurev-neuro-092820-012959
• 发表时间: 2021
• 期刊: Annual review of neuroscience
• 影响因子: 13.9
• 作者: Traniello,IanM;Robinson,GeneE
• 通讯作者: Robinson,GeneE

Genomic regions influencing aggressive behavior in honey bees are defined by colony allele frequencies

• DOI: 10.1073/pnas.1922927117
• 发表时间: 2020-07-21
• 期刊: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• 影响因子: 11.1
• 作者: Avalos, Arian;Fang, Miaoquan;Hudson, Matthew E.
• 通讯作者: Hudson, Matthew E.

Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks.

• DOI: 10.7554/elife.62850
• 发表时间: 2020-12-22
• 期刊: eLife
• 影响因子: 7.7
• 作者: Jones BM;Rao VD;Gernat T;Jagla T;Cash-Ahmed AC;Rubin BE;Comi TJ;Bhogale S;Husain SS;Blatti C;Middendorf M;Sinha S;Chandrasekaran S;Robinson GE
• 通讯作者: Robinson GE