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生物文化群体中自然选择的基本定理。

Fundamental theorem of natural selection in biocultural populations.

作者信息

Findlay S

机构信息

Ottawa-Carleton Institute of Biology, Department of Biology, University of Ottawa, Ontario, Canada.

出版信息

Theor Popul Biol. 1990 Dec;38(3):367-84. doi: 10.1016/0040-5809(90)90020-v.

Abstract

I derive a general equation for the evolution of mean biological fitness in large, randomly mating populations in which the phenotype is subject to both biological and cultural transmission and in which fitness and the effects of cultural transmission are genotype-dependent. The equation is dm/dt = 2 Cov(m,m'), where dm/dt is the instantaneous rate of change in the mean biological fitness of the population and Cov(m, m') is the covariance between offspring and parental fitnesses. This formulation differs from Fisher's fundamental theorem in at least two important respects. First, because covariances can be either positive or negative, mean fitness can decline over evolutionary time, in contrast to Fisher's result that fitness always increases. Second, since Cov(m, m') is a phenotypic rather than a genotypic covariance, natural selection can bring about changes in mean fitness even in the absence of additive genetic variance for fitness. Comparison of simple models of vertical (from parents to offspring) and oblique (from members of the parental generation to offspring) cultural transmission indicates that in the former case, mean fitness can evolve in the absence of genotypic variation for both fitness and the effects of cultural transmission, while in the latter case, both are required for evolution to occur.

摘要

我推导了一个关于大型随机交配种群中平均生物适应性进化的通用方程。在这些种群中,表型受到生物和文化传播的双重影响,且适应性以及文化传播的效应都依赖于基因型。该方程为dm/dt = 2 Cov(m,m'),其中dm/dt是种群平均生物适应性的瞬时变化率,Cov(m, m')是子代与亲代适应性之间的协方差。此公式在至少两个重要方面与费希尔基本定理不同。第一,由于协方差可以为正或为负,与费希尔得出的适应性总是增加的结果相反,平均适应性在进化时间内可能会下降。第二,由于Cov(m, m')是一个表型协方差而非基因型协方差,即使在不存在适应性的加性遗传方差的情况下,自然选择也能导致平均适应性发生变化。对垂直(从亲代到子代)和间接(从亲代群体成员到子代)文化传播的简单模型的比较表明,在前一种情况下,即使在适应性和文化传播效应都不存在基因型变异的情况下,平均适应性也可能进化,而在后一种情况下,进化发生则两者都需要。

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