1 School of Biological Sciences, University of Reading , Reading, Berkshire RG6 6BX , UK.
2 School of Life Sciences, University of Lincoln , Lincoln, Lincolnshire LN6 7DL , UK.
Proc Biol Sci. 2019 Jan 16;286(1894):20181932. doi: 10.1098/rspb.2018.1932.
Adaptation is the fundamental driver of functional and biomechanical evolution. Accordingly, the states of biomechanical traits (absolute or relative trait values) have long been used as proxies for adaptations in response to direct selection. However, ignoring evolutionary history, in particular ancestry, passage of time and the rate of evolution, can be misleading. Here, we apply a recently developed phylogenetic statistical approach using significant rate shifts to detect instances of exceptional rates of adaptive changes in bite force in a large group of terrestrial vertebrates, the amniotes. Our results show that bite force in amniotes evolved through multiple bursts of exceptional rates of adaptive changes, whereby whole groups-including Darwin's finches, maniraptoran dinosaurs (group of non-avian dinosaurs including birds), anthropoids and hominins (fossil and modern humans)-experienced significant rate increases compared to the background rate. However, in most parts of the amniote tree of life, we find no exceptional rate increases, indicating that coevolution with body size was primarily responsible for the patterns observed in bite force. Our approach represents a template for future studies in functional morphology and biomechanics, where exceptional rates of adaptive changes can be quantified and potentially linked to specific ecological factors underpinning major evolutionary radiations.
适应是功能和生物力学进化的基本驱动力。因此,生物力学特征的状态(绝对或相对特征值)长期以来一直被用作对直接选择的适应的代理。然而,忽略进化历史,特别是祖先、时间流逝和进化速度,可能会产生误导。在这里,我们应用了一种最近开发的基于系统发育的统计方法,该方法使用显著的速率变化来检测大量陆地脊椎动物——羊膜动物的咬合力中异常适应变化的实例。我们的研究结果表明,羊膜动物的咬合力是通过多次异常适应变化的爆发而进化的,其中整个群体——包括达尔文雀、手盗龙类恐龙(包括鸟类在内的非鸟类恐龙群)、灵长类动物和人科(古人和现代人)——与背景速度相比经历了显著的速度增加。然而,在羊膜动物生命树的大多数部分,我们没有发现异常的速度增加,这表明与体型的共同进化主要负责观察到的咬合力模式。我们的方法为功能形态学和生物力学的未来研究提供了一个模板,在这些研究中可以量化异常的适应变化率,并可能将其与支持主要进化辐射的特定生态因素联系起来。