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How to Explore Morphological Integration in Human Evolution and Development?

机译:如何探索人类进化与发展中的形态整合?

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Most studies in evolutionary developmental biology focus on large-scale evolutionary processes using experimental or molecular approaches, whereas evolutionary quantitative genetics provides mathematical models of the influence of heritable phenotypic variation on the short-term response to natural selection. Studies of morphological integration typically are situated in-between these two styles of explanation. They are based on the consilience of observed phenotypic covariances with qualitative developmental, functional, or evolutionary models. Here we review different forms of integration along with multiple other sources of phenotypic covariances, such as geometric and spatial dependencies among measurements. We discuss one multivariate method [partial least squares analysis (PLS)] to model phenotypic covariances and demonstrate how it can be applied to study developmental integration using two empirical examples. In the first example we use PLS to study integration between the cranial base and the face in human postnatal development. Because the data are longitudinal, we can model both cross-sectional integration and integration of growth itself, i.e., how cross-sectional variance and covariance is actually generated in the course of ontogeny. We find one factor of developmental integration (connecting facial size and the length of the anterior cranial base) that is highly canalized during postnatal development, leading to decreasing cross-sectional variance and covariance. A second factor (overall cranial length to height ratio) is less canalized and leads to increasing (co)variance. In a second example, we examine the evolutionary significance of these patterns by comparing cranial integration in humans to that in chimpanzees.
机译:进化发展生物学中的大多数研究都集中于使用实验或分子方法的大规模进化过程,而进化定量遗传学提供了可遗传表型变异对自然选择的短期响应影响的数学模型。形态学整合的研究通常位于这两种解释方式之间。它们基于观察到的表型协方差与定性发展模型,功能模型或进化模型的一致性。在这里,我们回顾了不同形式的整合以及其他多种表型协方差源,例如测量之间的几何和空间依赖性。我们讨论了一种用于模拟表型协方差的多元方法[偏最小二乘分析(PLS)],并使用两个经验示例演示了如何将其应用于研究发展整合。在第一个示例中,我们使用PLS研究人类出生后发育中颅底与面部之间的整合。由于数据是纵向的,因此我们可以对横截面积分和增长本身的积分进行建模,即在个体发育过程中如何实际生成横截面方差和协方差。我们发现,在产后发育过程中高度融合了发育整合(连接面部大小和前颅底长度)的一个因素,从而导致横截面变异和协方差减小。第二个因素(颅骨总长与高之比)较少受到影响,并导致(协)方差增加。在第二个示例中,我们通过比较人类与黑猩猩的颅骨融合来检查这些模式的进化意义。

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