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在一个不确定的世界中定义健康。

Defining fitness in an uncertain world.

作者信息

Crewe Paul, Gratwick Richard, Grafen Alan

机构信息

St John's College, University of Oxford, Oxford, OX1 3JP, UK.

Zoology Department, University of Oxford, Oxford, OX1 3PS, UK.

出版信息

J Math Biol. 2018 Apr;76(5):1059-1099. doi: 10.1007/s00285-017-1164-z. Epub 2017 Jul 29.

Abstract

The recently elucidated definition of fitness employed by Fisher in his fundamental theorem of natural selection is combined with reproductive values as appropriately defined in the context of both random environments and continuing fluctuations in the distribution over classes in a class-structured population. We obtain astonishingly simple results, generalisations of the Price Equation and the fundamental theorem, that show natural selection acting only through the arithmetic expectation of fitness over all uncertainties, in contrast to previous studies with fluctuating demography, in which natural selection looks rather complicated. Furthermore, our setting permits each class to have its characteristic ploidy, thus covering haploidy, diploidy and haplodiploidy at the same time; and allows arbitrary classes, including continuous variables such as condition. The simplicity is achieved by focussing just on the effects of natural selection on genotype frequencies: while other causes are present in the model, and the effect of natural selection is assessed in their presence, these causes will have their own further effects on genoytpe frequencies that are not assessed here. Also, Fisher's uses of reproductive value are shown to have two ambivalences, and a new axiomatic foundation for reproductive value is endorsed. The results continue the formal darwinism project, and extend support for the individual-as-maximising-agent analogy to finite populations with random environments and fluctuating class-distributions. The model may also lead to improved ways to measure fitness in real populations.

摘要

费希尔在其自然选择基本定理中所采用的、最近才阐明的适合度定义,与在随机环境以及阶层结构种群中阶层分布持续波动的背景下适当定义的繁殖价值相结合。我们得出了惊人简单的结果,即普莱斯方程和基本定理的推广,表明自然选择仅通过所有不确定性下适合度的算术期望起作用,这与之前关于波动种群统计学的研究形成对比,在那些研究中自然选择显得相当复杂。此外,我们的设定允许每个阶层具有其特征倍性,从而同时涵盖单倍体、二倍体和单双倍体;并且允许任意阶层,包括诸如条件等连续变量。这种简单性是通过仅关注自然选择对基因型频率的影响而实现的:虽然模型中存在其他原因,并且在这些原因存在的情况下评估自然选择的效果,但这些原因将对基因型频率产生其自身的进一步影响,而本文未对此进行评估。此外,费希尔对繁殖价值的使用存在两种矛盾之处,并且认可了一种新的繁殖价值公理基础。这些结果延续了形式达尔文主义项目,并将对个体作为最大化主体类比的支持扩展到具有随机环境和波动阶层分布的有限种群。该模型还可能带来在实际种群中测量适合度的改进方法。

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