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首页> 外文期刊>Evolution: International Journal of Organic Evolution >Dynamic changes in display architecture and function across environments revealed by a systems approach to animal communication
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Dynamic changes in display architecture and function across environments revealed by a systems approach to animal communication

机译:通过系统通信的系统方法显示的环境中显示体系结构和功能的动态变化

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摘要

Animal communication is often structurally complex and dynamic, with signaler and receiver behavior varying in response to multiple environmental factors. To date, studies assessing signal dynamics have mostly focused on the relationships between select signaling traits and receiver responses in a single environment. We use the wolf spider Schizocosa floridana to explore the relationships between courtship display form and function across two social contexts (female presence vs absence) and two light environments (light vs dark). We use traditional analytical methods to determine predictors of copulation success (i.e., signal function) and examine these predictors in a structural context by overlaying them on signal phenotype networks (Wilkins et al. 2015). This allows us to explore system design principles (degeneracy, redundancy, pluripotentiality), providing insight into hypotheses regarding complex signal evolution. We found that both social context and light environment affect courtship structure, although the predictors of mating success remain similar across light environments, suggesting system degeneracy. Contrastingly, the same display traits may serve different functions across social environments, suggesting pluripotentiality. Ultimately, our network approach uncovers a complexity in display structure and function that is missed by functional analyses alone, highlighting the importance of systems-based methodologies for understanding the dynamic nature of complex signals.
机译:动物通信通常是结构性复杂和动态的,信号器和接收器行为响应多种环境因素而变化。迄今为止,评估信号动态的研究主要集中在单个环境中选择信令特征和接收器响应之间的关系。我们使用Wolf Spider Schizocosa Floridana探索求爱展示形式与两个社会背景(女性存在与缺席)和两个光环境(浅黑暗)之间的关系。我们使用传统的分析方法来确定分配成功的预测因子(即信号功能),并通过将它们覆盖在信号表型网络上(Wilkins等,2015)来检查结构上下文中的这些预测因子。这使我们能够探索系统设计原则(退化,冗余,多双电石),从而深入了解复杂信号演进的假设。我们发现社会背景和光环境都会影响求爱结构,尽管交配成功的预测因子横跨光环境仍然相似,但建议系统退化。比较方面,相同的显示特征可以跨社会环境的不同功能,建议多能。最终,我们的网络方法揭示了单独使用功能分析错过的显示结构和功能的复杂性,突出了基于系统的方法来了解复杂信号的动态性质的重要性。

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