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连续的菲利普·西德尼爵士博弈:一种生物信号传导的简单模型

The continuous Sir Philip Sidney game: a simple model of biological signalling.

作者信息

Johnstone R A, Grafen A

机构信息

Department of Plant Sciences, Oxford, U.K.

出版信息

J Theor Biol. 1992 May 21;156(2):215-34. doi: 10.1016/s0022-5193(05)80674-5.

Abstract

An analysis of Maynard Smith's two-player, ESS model of biological signalling, the "Sir Philip Sidney game", is presented. The stable strategies of the players in this game are shown to satisfy the conditions of Zahavi's handicap principle. At equilibrium, signals are honest, costly, and costly in a way that is related to the true quality revealed. Further analysis reveals that the level of cost required to maintain stability is inversely related to the degree of relatedness between the players. It therefore seems likely that stable biological signalling systems will feature lower signalling costs when communication occurs between relatives. A three-player, extended version of the model is investigated, in which signals are passed via an intermediate, or "messenger". It is shown that this destabilizes the signalling system, and leads to increased signalling costs. This result suggests that "kin conflict" theories of the evolution of the endosperm in flowering plants require further refinement. The introduction of a novel resource acquisition tissue, which mediates parent-offspring interaction during development, cannot be assumed to limit parent-offspring conflict simply because it carries an extra copy of the maternally inherited genes. The ability to add such complications to the Sir Philip Sidney game and still obtain solutions makes it a very useful modelling tool.

摘要

本文对梅纳德·史密斯的两人生物信号传递ESS模型“菲利普·西德尼爵士博弈”进行了分析。该博弈中参与者的稳定策略被证明符合扎哈维的 handicap 原理的条件。在均衡状态下,信号是诚实的、有代价的,且代价与所揭示的真实品质相关。进一步分析表明,维持稳定性所需的代价水平与参与者之间的亲缘程度呈反比。因此,当亲属之间进行交流时,稳定的生物信号系统似乎可能具有较低的信号传递成本。研究了该模型的三人扩展版本,其中信号通过一个中间者或“信使”传递。结果表明,这会使信号系统不稳定,并导致信号传递成本增加。这一结果表明,开花植物胚乳进化的“亲属冲突”理论需要进一步完善。引入一种新型资源获取组织,该组织在发育过程中介导亲子互动,不能仅仅因为它携带一份额外的母系遗传基因副本就假定它能限制亲子冲突。能够在菲利普·西德尼爵士博弈中加入此类复杂因素并仍然获得解决方案,使其成为一个非常有用的建模工具。

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