作为信息处理的性：最优性与进化
Sex as information processing: optimality and evolution
摘要：
种群在不同环境中的长期增长率量化了生物个体从祖先那里继承并从环境中获得的信息处理的进化价值。以前的模型仅限于无性生殖，遗传信息来自单亲，没有重组。我们提出了一个一般的扩展有性生殖和一个特殊的，但重要的情况下，数量遗传学的无穷小模型，假设性状是正态分布的分析解决方案。我们研究这个模型的条件下，有性生殖是有利的，可以在自相关或定向变化的环境，突变的偏见，空间异质性和表型可塑性的背景下发展。我们的结果推广和统一以前的分析。我们还研究了Geodakyan提出的建议，即存在两个表型不同的性别允许对不同环境的最佳适应。我们验证了存在的条件下，两性异形是自适应的，但发现其进化价值一般不补偿男性的两倍成本。
英文摘要：
The long-term growth rate of populations in varying environments quantifies the evolutionary value of processing the information that biological individuals inherit from their ancestors and acquire from their environment. Previous models were limited to asexual reproduction with inherited information coming from a single parent with no recombination. We present a general extension to sexual reproduction and an analytical solution for a particular but important case, the infinitesimal model of quantitative genetics which assumes traits to be normally distributed. We study with this model the conditions under which sexual reproduction is advantageous and can evolve in the context of autocorrelated or directionally varying environments, mutational biases, spatial heterogeneities and phenotypic plasticity. Our results generalize and unify previous analyses. We also examine the proposal made by Geodakyan that the presence of two phenotypically distinct sexes permits an optimal adaptation to varying environments. We verify that conditions exists where sexual dimorphism is adaptive but find that its evolutionary value does not generally compensate for the two-fold cost of males.
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