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身份信号与合作行为模式

Identity Signaling and Patterns of Cooperative Behavior.

作者信息

Sheehan Michael J, Miller Caitlin, Reeve H Kern

机构信息

Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA.

出版信息

Integr Comp Biol. 2017 Sep 1;57(3):580-588. doi: 10.1093/icb/icx054.

Abstract

Recognition systems play a central role in mediating cooperative behavior among individuals in a population. Despite the importance of discriminating among potential recipients of cooperation, the evolutionary forces that maintain diversity in traits used for kin recognition are poorly understood. Greenbeard-based models of kin recognition in which alleles for cooperative behavior also control recognition of those alleles in potential cooperators suggest that discrimination based on a greenbeard locus leads to positive frequency dependence, eroding diversity at the very genes responsible for recognition. As a result, the phenotypic diversity used for kin recognition has been widely assumed to be cues rather than signals of genetic identity. Diversity in identity cues is maintained by selection on other traits for reasons unrelated to recognition. A major problem with greenbeard-based models is that greenbeard recognition systems are uncommon among animals, which tend to learn kin phenotypes. We develop a simple model showing that learning a kin recognition template is sufficient to increase and maintain diversity in genetic traits used for kin recognition. Thus, our results suggest that phenotypes used for recognition may be true signals of genetic identity. As such, phenotypes are expected to evolve to facilitate recognition. Increased diversity in genetically-based recognition signals is also predicted to initiate a positive feedback loop between recognition efficiency and levels of cooperation. Finally, we discuss how the genetic architecture of recognition traits may influence kin discrimination abilities.

摘要

识别系统在调节种群中个体间的合作行为方面发挥着核心作用。尽管区分潜在合作对象很重要,但维持用于亲属识别的性状多样性的进化力量却鲜为人知。基于绿胡须效应的亲属识别模型认为,合作行为的等位基因也控制着对潜在合作者中这些等位基因的识别,这表明基于绿胡须位点的区分会导致正频率依赖,侵蚀负责识别的基因本身的多样性。因此,人们普遍认为用于亲属识别的表型多样性是线索而非遗传身份的信号。身份线索的多样性是通过对与识别无关的其他性状进行选择来维持的。基于绿胡须效应的模型的一个主要问题是,绿胡须识别系统在动物中并不常见,动物往往会学习亲属的表型。我们开发了一个简单的模型,表明学习亲属识别模板足以增加并维持用于亲属识别的遗传性状的多样性。因此,我们的结果表明,用于识别的表型可能是遗传身份的真实信号。照此,表型有望进化以促进识别。基于遗传的识别信号中增加的多样性也预计会在识别效率和合作水平之间启动一个正反馈回路。最后,我们讨论识别性状的遗传结构如何可能影响亲属辨别能力。

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