Mongiardino Koch N, Ceccarelli F S, Ojanguren-Affilastro A A, Ramírez M J
Department of Geology & Geophysics, Yale University, New Haven, CT, USA.
Museo Argentino de Ciencias Naturales "Bernardino Rivadavia", Buenos Aires, Argentina.
J Evol Biol. 2017 Apr;30(4):814-825. doi: 10.1111/jeb.13050. Epub 2017 Mar 2.
Many palaeontological studies have investigated the evolution of entire body plans, generally relying on discrete character-taxon matrices. In contrast, macroevolutionary studies performed by neontologists have mostly focused on morphometric traits. Although these data types are very different, some studies have suggested that they capture common patterns. Nonetheless, the tests employed to support this claim have not explicitly incorporated a phylogenetic framework and may therefore be susceptible to confounding effects due to the presence of common phylogenetic structure. We address this question using the scorpion genus Brachistosternus Pocock 1893 as case study. We make use of a time-calibrated multilocus molecular phylogeny, and compile discrete and traditional morphometric data sets, both capturing the overall morphology of the organisms. We find that morphospaces derived from these matrices are significantly different, and that the degree of discordance cannot be replicated by simulations of random character evolution. Moreover, we find strong support for contrasting modes of evolution, with discrete characters being congruent with an 'early burst' scenario whereas morphometric traits suggest species-specific adaptations to have driven morphological evolution. The inferred macroevolutionary dynamics are therefore contingent on the choice of character type. Finally, we confirm that metrics of correlation fail to detect these profound differences given common phylogenetic structure in both data sets, and that methods incorporating a phylogenetic framework and accounting for expected covariance should be favoured.
许多古生物学研究都探讨了整个身体结构的演化,通常依赖于离散的性状分类单元矩阵。相比之下,现代生物学家进行的宏观演化研究大多集中在形态测量特征上。尽管这些数据类型差异很大,但一些研究表明它们捕捉到了共同的模式。然而,用于支持这一说法的测试并未明确纳入系统发育框架,因此可能容易受到共同系统发育结构存在所带来的混杂效应的影响。我们以1893年波科克命名的短胸蝎属作为案例研究来解决这个问题。我们利用一个经过时间校准的多位点分子系统发育树,并编制离散和传统形态测量数据集,两者都能捕捉生物体的整体形态。我们发现,从这些矩阵得出的形态空间有显著差异,而且这种不一致程度无法通过随机性状演化模拟来复制。此外,我们发现有力证据支持对比鲜明的演化模式,离散性状与“早期爆发”情景一致,而形态测量特征表明物种特异性适应推动了形态演化。因此,推断出的宏观演化动态取决于性状类型的选择。最后,我们证实,鉴于两个数据集中都存在共同的系统发育结构,相关性度量无法检测到这些深刻差异,应该优先选择纳入系统发育框架并考虑预期协方差的方法。