Mitteroecker Philipp, Bookstein Fred
Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria.
Evolution. 2009 Mar;63(3):727-37. doi: 10.1111/j.1558-5646.2008.00587.x. Epub 2008 Dec 12.
Many classic quantitative genetic theories assume the covariance structure among adult phenotypic traits to be relatively static during evolution. But the cross-sectional covariance matrix arises from the joint variation of a large range of developmental processes and hence is not constant over the period during which a population of developing organisms is actually exposed to selection. To examine how development shapes the phenotypic covariance structure, we ordinate the age-specific covariance matrices of shape coordinates for craniofacial growth in rats and humans. The metric that we use for this purpose is given by the square root of the summed squared log relative eigenvalues. This is the natural metric on the space of positive-definite symmetric matrices, which we introduce and justify in a biometric context. In both species, the covariance matrices appear to change continually throughout the full period of postnatal development. The resulting ontogenetic trajectories alter their direction at major changes of the developmental programs whereas they are fairly straight in between. Consequently, phenotypic covariance matrices--and thus also response to selection--should be expected to vary both over ontogenetic and phylogenetic time scales as different phenotypes are necessarily produced by different developmental pathways.
许多经典的数量遗传学理论假定,成年表型性状之间的协方差结构在进化过程中相对稳定。但是,横断面协方差矩阵源自大量发育过程的联合变异,因此在发育中的生物群体实际受到选择的时期内并非恒定不变。为了研究发育如何塑造表型协方差结构,我们对大鼠和人类颅面生长的形状坐标的年龄特异性协方差矩阵进行了排序。我们用于此目的的度量由相对特征值对数平方和的平方根给出。这是正定对称矩阵空间上的自然度量,我们在生物统计学背景下引入并论证了这一度量。在这两个物种中,协方差矩阵在出生后发育的整个时期内似乎都在不断变化。由此产生的个体发育轨迹在发育程序的主要变化处改变方向,而在其间则相当笔直。因此,由于不同的表型必然由不同的发育途径产生,所以表型协方差矩阵——进而对选择的响应——应该会在个体发育和系统发育时间尺度上发生变化。