Natural selection. V. How to read the fundamental equations of evolutionary change in terms of information theory

被引:89
作者
Frank, S. A. [1 ]
机构
[1] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA
基金
美国国家科学基金会;
关键词
evolutionary theory; Fisher information; mathematical models; population genetics; STATISTICAL-MECHANICS; ALPHA-BETA; ENTROPY; TRANSMISSION; DIVERGENCES; MUTATION; FITNESS; BRAIN;
D O I
10.1111/jeb.12010
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The equations of evolutionary change by natural selection are commonly expressed in statistical terms. Fisher's fundamental theorem emphasizes the variance in fitness. Quantitative genetics expresses selection with covariances and regressions. Population genetic equations depend on genetic variances. How can we read those statistical expressions with respect to the meaning of natural selection? One possibility is to relate the statistical expressions to the amount of information that populations accumulate by selection. However, the connection between selection and information theory has never been compelling. Here, I show the correct relations between statistical expressions for selection and information theory expressions for selection. Those relations link selection to the fundamental concepts of entropy and information in the theories of physics, statistics and communication. We can now read the equations of selection in terms of their natural meaning. Selection causes populations to accumulate information about the environment.
引用
收藏
页码:2377 / 2396
页数:20
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