Rice Sean H
Department of Ecology and Evolutionary Biology, Osborn Memorial Laboratories, Yale University, New Haven, CT 06520, USA.
Proc Natl Acad Sci U S A. 2002 Nov 26;99(24):15518-23. doi: 10.1073/pnas.202620999. Epub 2002 Nov 18.
The development of most phenotypic traits involves complex interactions between many underlying factors, both genetic and environmental. To study the evolution of such processes, a set of mathematical relationships is derived that describe how selection acts to change the distribution of genetic variation given arbitrarily complex developmental interactions and any distribution of genetic and environmental variation. The result is illustrated by using it to derive models for the evolution of dominance and for the evolutionary consequences of asymmetry in the distribution of genetic variation.
大多数表型性状的发育涉及许多潜在因素(包括遗传因素和环境因素)之间的复杂相互作用。为了研究此类过程的进化,我们推导了一组数学关系,这些关系描述了在任意复杂的发育相互作用以及遗传和环境变异的任何分布情况下,选择如何作用以改变遗传变异的分布。通过将其用于推导显性进化模型以及遗传变异分布不对称的进化后果模型来说明这一结果。