Colony Model Complete from Behavioural variation among workers promotes feed-forward loops in a simulated insect colony
收藏Mendeley Data2024-06-25 更新2024-06-28 收录
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https://rs.figshare.com/articles/dataset/Colony_Model_Complete_from_Behavioural_variation_among_workers_promotes_feed-forward_loops_in_a_simulated_insect_colony/19185237
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Coordinated responses in eusocial insect colonies arise from worker interaction networks that enable collective processing of ecologically relevant information. Previous studies have detected a structural motif in these networks known as the feed-forward loop, which functions to process information in other biological regulatory networks (e.g. transcriptional networks). However, the processes that generate feed-forward loops among workers and the consequences for information flow within the colony remain largely unexplored. We constructed an agent-based model to investigate how individual variation in activity and movement shaped the production of feed-forward loops in a simulated insect colony. We hypothesized that individual variation along these axes would generate feed-forward loops by driving variation in interaction frequency among workers. We found that among-individual variation in activity drove overrepresentation of feed-forward loops in the interaction networks by determining the directionality of interactions. However, despite previous work linking feed-forward loops with efficient information transfer, activity variation did not promote faster or more efficient information flow, thus providing no support for the hypothesis that feed-forward loops reflect selection for enhanced collective functioning. Conversely, individual variation in movement trajectory, despite playing no role in generating feed-forward loops, promoted fast and efficient information flow by linking together unconnected regions of the nest.
真社会性昆虫群落的协同响应源自职虫互动网络,该网络可实现生态相关信息的集体加工。既往研究已在这类网络中发现一种被称为前馈环(feed-forward loop)的结构基序,其在其他生物调控网络(如转录调控网络)中同样承担信息处理功能。然而,驱动职虫间形成前馈环的具体过程,以及该结构对群落内信息流动的影响,目前仍未得到充分探索。我们构建了基于智能体的模型(agent-based model),以探究职虫在活动与移动层面的个体差异如何在模拟昆虫群落中影响前馈环的生成。我们提出假说:上述两个维度的个体差异会通过改变职虫间的互动频率,催生前馈环的形成。研究结果显示,职虫间的活动差异通过决定互动的方向性,使得互动网络中前馈环的占比偏高。不过,尽管既往研究将前馈环与高效信息传递建立关联,但活动差异并未促进信息流动的速度与效率,因此无法支持“前馈环反映了对增强集体功能的选择压力”这一假说。与之相反,尽管职虫移动轨迹的差异并未参与前馈环的生成,但它通过连接蚁巢中互不连通的区域,实现了信息流动的提速与效率提升。
创建时间:
2023-06-28



