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信号功效通过性选择推动了更大的性装饰物的进化。

Signaling efficacy drives the evolution of larger sexual ornaments by sexual selection.

机构信息

Theoretical Biology, Institute of Integrative Biology, ETH Zürich, Universitätstrasse 16, CH-8092, Zürich, Switzerland; CoMPLEX, University College London, Gower Street, London, WC1E 6BT, United Kingdom; The Galton Laboratory, Department of Genetics, Environment, and Evolution, University College London, Gower Street, London, WC1E 6BT, United Kingdom.

出版信息

Evolution. 2014 Jan;68(1):216-29. doi: 10.1111/evo.12255. Epub 2013 Sep 30.

Abstract

Why are there so few small secondary sexual characters? Theoretical models predict that sexual selection should lead to reduction as often as exaggeration, and yet we mainly associate secondary sexual ornaments with exaggerated features such as the peacock's tail. We review the literature on mate choice experiments for evidence of reduced sexual traits. This shows that reduced ornamentation is effectively impossible in certain types of ornamental traits (behavioral, pheromonal, or color-based traits, and morphological ornaments for which the natural selection optimum is no trait), but that there are many examples of morphological traits that would permit reduction. Yet small sexual traits are very rarely seen. We analyze a simple mathematical model of Fisher's runaway process (the null model for sexual selection). Our analysis shows that the imbalance cannot be wholly explained by larger ornaments being less costly than smaller ornaments, nor by preferences for larger ornaments being less costly than preferences for smaller ornaments. Instead, we suggest that asymmetry in signaling efficacy limits runaway to trait exaggeration.

摘要

为什么小型次要性征如此之少?理论模型预测,性选择应该既导致简化,也导致夸大,然而我们主要将次要性征与夸大的特征联系起来,如孔雀的尾巴。我们回顾了关于配偶选择实验的文献,以寻找减少性特征的证据。这表明,在某些类型的装饰性特征(行为、信息素或基于颜色的特征,以及自然选择最优值为无特征的形态装饰)中,减少装饰是不可能的,但有许多形态特征可以允许减少。然而,小型性征却非常少见。我们分析了费希尔(Fisher)的 runaway 过程的一个简单数学模型(性选择的零模型)。我们的分析表明,这种不平衡不能完全用较大的装饰比较小的装饰成本更低来解释,也不能用对较大的装饰的偏好比对较小的装饰的偏好成本更低来解释。相反,我们认为信号效率的不对称性限制了 runaway 到特征夸大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c3e/3920633/ef01394d5bb1/evo0068-0216-f1.jpg

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