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Using phylogenetic comparative methods to gain insight into the evolution of social complexity

机译:利用系统发育比较方法深入了解社会复杂性的演变

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Social complexity can have important evolutionary implications, and phylogenetic comparative methods have long been used as a way to assess interspecific support for hypotheses on the subject. Statistical approaches for conducting such analyses have come a long way in the last few decades, and it is now possible to use comparative data to ask sophisticated questions about the evolution of complex phenotypes while taking also uncertainty in the phylogeny into account. Here, we illustrate these advances by applying a phylogenetic analysis of covariance to two data sets addressing the evolution of social complexity in primates. First, we find that social complexity (as inferred by group size) is predicted by whether a species is diurnal and terrestrial. Second, we find that social complexity (as inferred by social organization) has increased over evolutionary time and can impact trait evolution. Particularly, we find that baculum length has been growing with body size in dispersed, pair-living and, more weakly, multi-male species, becoming relatively smaller and more variable in aggregations that are more socially stable.Significance statementSociality poses a particular challenge for interspecific analyses because of the many ways that its intrinsic complexity can be coded into statistical variables and models. However, with methods that incorporate phylogenies and nuanced inferences about underlying evolutionary processes, even coarse measures of social complexity can offer valuable insights in the study of behavioral trends through time. Exploring two interspecific data sets on primates, we show how simple measures of sociality, either coded as continuous or categorical variables, can be used to revisit latent evolutionary hypotheses while revealing new pieces of information that become available thanks to the added complexity of novel phylogenetic comparative methods. One example reveals that larger and more variable groups are associated with shifts in habitat and activity patterns, while the other reveals that baculum evolution might be influenced by the increasing social stability of primate aggregations.
机译:社会复杂性可以具有重要的进化意义,并且系统发育比较方法长期以来被用作评估对该主题的假设的差异支持的一种方式。在过去的几十年中,进行这种分析的统计方法已经走了很长的路,现在可以使用比较数据来提出关于复杂表型演变的复杂问题的复杂问题,同时考虑到该系统的不确定性。在这里,我们通过应用协方差对两个数据集的系统发育分析来说明这些进步,解决了灵长类动物的社会复杂性的演变。首先,我们发现社会复杂性(由团体规模推断)被物种是否昼夜和陆地预测。其次,我们发现社会复杂性(截至社会组织推断)增加了进化时间,并影响特质演变。特别是,我们发现杆状长度在分散,配对生存和更弱的多男性物种中患有身体尺寸,在更为社会稳定的聚合中变得相对较小和更具变量。象征性统计学对特定的挑战构成了特殊的挑战间隙分析,因为其内在复杂性可以编码成统计变量和模型的许多方式。然而,通过将文学和关于潜在的进化过程的细微介绍的方法,甚至粗糙的社会复杂性衡量措施甚至可以通过时间对行为趋势进行有价值的见解。在灵长类动物中探索两个三种间隙数据集,我们展示了社会性的简单措施,编码为连续或分类变量,可用于重新审视潜在的进化假设,同时揭示了由于新颖的系统发育比较的复杂性而变得可用的新信息方法。一个示例揭示了较大,更可变的组与栖息地和活动模式的变化相关联,而另一个示例揭示了杆状进化可能受到灵长类动物聚集的社会稳定性的增加影响。

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