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社会驱动的负面反馈调节蚁群中的活动和能量消耗。

Socially driven negative feedback regulates activity and energy use in ant colonies.

作者信息

Porfiri Maurizio, Abaid Nicole, Garnier Simon

机构信息

Center for Urban Science and Progress, New York University Tandon School of Engineering, Brooklyn, New York, United States of America.

Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, New York, United States of America.

出版信息

PLoS Comput Biol. 2024 Nov 25;20(11):e1012623. doi: 10.1371/journal.pcbi.1012623. eCollection 2024 Nov.

DOI:10.1371/journal.pcbi.1012623
PMID:39585927
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11649087/
Abstract

Despite almost a century of research on energetics in biological systems, we still cannot explain energy regulation in social groups, like ant colonies. How do individuals regulate their collective activity without a centralized control system? What is the role of social interactions in distributing the workload amongst group members? And how does the group save energy by avoiding being constantly active? We offer new insight into these questions by studying an intuitive compartmental model, calibrated with and compared to data on ant colonies. The model describes a previously unexplored balance between positive and negative social feedback driven by individual activity: when activity levels are low, the presence of active individuals stimulates inactive individuals to start working; when activity levels are high, however, active individuals inhibit each other, effectively capping the proportion of active individuals at any one time. Through the analysis of the system's stability, we demonstrate that this balance results in energetic spending at the group level growing proportionally slower than the group size. Our finding is reminiscent of Kleiber's law of metabolic scaling in unitary organisms and highlights the critical role of social interactions in driving the collective energetic efficiency of group-living organisms.

摘要

尽管对生物系统中的能量学进行了近一个世纪的研究,但我们仍然无法解释像蚁群这样的社会群体中的能量调节。在没有集中控制系统的情况下,个体如何调节它们的集体活动?社会互动在群体成员之间分配工作量中起什么作用?以及群体如何通过避免持续活跃来节省能量?我们通过研究一个直观的分区模型来深入探讨这些问题,该模型根据蚁群数据进行校准并与之比较。该模型描述了由个体活动驱动的正负社会反馈之间一种此前未被探索的平衡:当活动水平较低时,活跃个体的存在会刺激不活跃个体开始工作;然而,当活动水平较高时,活跃个体相互抑制,有效地限制了任何时刻活跃个体的比例。通过对系统稳定性的分析,我们证明这种平衡导致群体层面的能量消耗增长速度比群体规模增长速度慢。我们的发现让人联想到单一生物体中克莱伯的代谢比例定律,并突出了社会互动在推动群居生物体集体能量效率方面的关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb8b/11649087/cbf6b786a289/pcbi.1012623.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb8b/11649087/cbf6b786a289/pcbi.1012623.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb8b/11649087/cbf6b786a289/pcbi.1012623.g001.jpg

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