Long-term tracking of social structure in groups of rats

arXiv - QuanBio - Quantitative Methods Pub Date : 2024-08-16 DOI:arxiv-2408.08945

Mate NagyMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryMTA-ELTE Lendulet Collective Behaviour Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, HungaryDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Jacob D. DavidsonDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Gabor VasarhelyiMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary, Daniel AbelMTA-ELTE Statistical and Biological Physics Research Group, Budapest, Hungary, Eniko KubinyiDepartment of Ethology, Eotvos Lorand University, Budapest, HungaryMTA-ELTE Comparative Ethology Research Group, Budapest, HungaryResearch Centre for Natural Sciences, Budapest, Hungary, Ahmed El HadyDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Tamas VicsekMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary

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Abstract

Rodents serve as an important model for examining both individual and collective behavior. Dominance within rodent social structures can determine access to critical resources, such as food and mating opportunities. Yet, many aspects of the intricate interplay between individual behaviors and the resulting group social hierarchy, especially its evolution over time, remain unexplored. In this study, we utilized an automated tracking system that continuously monitored groups of male rats for over 250 days to enable an in-depth analysis of individual behavior and the overarching group dynamic. We describe the evolution of social structures within a group and additionally investigate how past behaviors influence the emergence of new social hierarchies when group composition and experimental area changes. Notably, we find that conventional individual and pairwise tests exhibit a weak correlation with group behavior, highlighting their limited accuracy in predicting behavioral outcomes in a collective context. These results emphasize the context-dependence of social behavior as an emergent property of interactions within a group and highlight the need to measure and quantify social behavior in more naturalistic environments.

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长期追踪大鼠群体的社会结构

啮齿动物是研究个体行为和集体行为的重要模型。啮齿动物社会结构中的支配地位可以决定能否获得关键资源，如食物和交配机会。然而，个体行为与由此产生的群体社会等级制度之间错综复杂的相互作用，特别是其随时间的演变，在许多方面仍有待探索。在这项研究中，我们利用自动跟踪系统对雄鼠群体进行了超过250天的持续监测，从而对个体行为和群体的总体动态进行了深入分析。我们描述了群体内社会结构的演化，并进一步研究了当群体组成和实验区域发生变化时，过去的行为如何影响新社会等级的出现。值得注意的是，我们发现传统的个体测试和配对测试与群体行为的相关性很弱，这凸显了它们在预测集体背景下行为结果的准确性有限。这些结果强调了社会行为作为群体内部互动的一种新兴属性对环境的依赖性，并突出了在更自然的环境中测量和量化社会行为的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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arXiv - QuanBio - Quantitative Methods

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