Kilbourne Brandon M
Museum für Naturkunde Leibniz-Institut für Evolutions- und Biodiversitätsforschung Berlin Germany.
Ecol Evol. 2017 Sep 20;7(21):8852-8863. doi: 10.1002/ece3.3407. eCollection 2017 Nov.
Anatomical traits associated with locomotion often exhibit specializations for ecological niche, suggesting that locomotor specializations may constitute selective regimes acting on limb skeletal traits. To test this, I sampled 42 species of Mustelidae, encompassing climbing, digging, and swimming specialists, and determined whether trait variation reflects locomotor specialization by performing a principal components analysis on 14 forelimb traits. In addition to Brownian motion models, three Ornstein-Uhlenbeck models of selective regimes were applied to PC scores describing trait variation among mustelids: one without a priori defined phenotypic optima, one with optima based upon locomotor habit, and one with a single phenotypic optimum. PC1, which explained 43.8% of trait variance, represented a trade-off in long bone gracility and deltoid ridge length vs. long robustness and olecranon process length and distinguished between climbing specialists and remaining mustelids. PC2, which explained 17.4% of trait variance, primarily distinguished the sea otter from other mustelids. Best fitting trait diversification models are selective regimes differentiating between scansorial and nonscansorial mustelids (PC1) and selective regimes distinguishing the sea otter and steppe polecat from remaining mustelids (PC2). Phylogenetic half-life values relative to branch lengths suggest that, in spite of a strong rate of adaptation, there is still the influence of past trait values. However, simulations of likelihood ratios suggest that the best fitting models are not fully adequate to explain morphological diversification within extant mustelids.
与运动相关的解剖特征通常表现出对生态位的特化,这表明运动特化可能构成作用于肢体骨骼特征的选择机制。为了验证这一点,我对42种鼬科动物进行了采样,包括攀爬、挖掘和游泳专家,并通过对14个前肢特征进行主成分分析来确定特征变异是否反映了运动特化。除了布朗运动模型外,还将三种选择性机制的奥恩斯坦-乌伦贝克模型应用于描述鼬科动物特征变异的主成分得分:一种没有先验定义的表型最优值,一种基于运动习性的最优值,还有一种具有单一表型最优值。解释了43.8%特征方差的主成分1代表了长骨纤细度和三角肌嵴长度与长骨粗壮度和鹰嘴突长度之间的权衡,并区分了攀爬专家和其他鼬科动物。解释了17.4%特征方差的主成分2主要将海獭与其他鼬科动物区分开来。最佳拟合的特征多样化模型是区分树栖和非树栖鼬科动物的选择性机制(主成分1)以及将海獭和草原鼬与其他鼬科动物区分开来的选择性机制(主成分2)。相对于分支长度的系统发育半衰期值表明,尽管适应速度很快,但过去特征值的影响仍然存在。然而,似然比模拟表明,最佳拟合模型并不完全足以解释现存鼬科动物的形态多样化。