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Kinship, greenbeards and runaway social selection in the evolution of social insect cooperation

机译:社会昆虫合作演变中的亲属,胡须和失控的社会选择

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Social Hymenoptera have played a leading role in development and testing of kin selection theory. Inclusive fitness models, following from Hamilton's rule, successfully predict major life history characteristics, such as biased sex investment ratios and conflict over parentage of male offspring. However, kin selection models poorly predict patterns of caste-biasing nepotism and reproductive skew within groups unless kin recognition constraints or group-level selection is also invoked. These successes and failures mirror the underlying kin recognition mechanisms. With reliable environmental cues, such as the sex of offspring or the origin of male eggs, predictions are supported. When only genetic recognition cues are potentially available, predictions are not supported. Mathematical simulations demonstrate that these differing mechanisms for determining kinship produce very different patterns of behavior. Decisions based on environmental cues for relatedness result in a robust mixture of cooperation and noncooperation depending on whether or not Hamilton's rule is met. In contrast, cooperation evolves under a wider range of conditions and to higher frequencies with genetic kin recognition as shared greenbeard traits. This "excess of nice-ness" matches the existing patterns in caste bias and reproductive skew; individuals often help others at an apparent cost to their inclusive fitness. The results further imply a potential for greenbeard-type kin recognition to create arbitrary runaway social selection for shared genetic traits. Suggestive examples in social evolution may be alloparental care and unicoloniality in ants. Differences in kin recognition mechanisms also can have consequences for maintenance of advantageous genetic diversity within populations.
机译:社会膜翅目在亲属选择理论的发展和检验中起着主导作用。遵循汉密尔顿法则的包容性适应模型成功地预测了主要的生活史特征,例如性别投资比例有偏,以及雄性后代的亲权冲突。但是,亲属选择模型很难预测群体内种姓偏见的裙带关系和生殖偏向的模式,除非还调用了亲属识别限制或群体级别的选择。这些成功和失败反映了潜在的亲属识别机制。通过可靠的环境提示,例如后代的性别或雄性卵的起源,可以支持预测。当只有遗传识别提示可用时,则不支持预测。数学模拟表明,这些确定亲属关系的不同机制产生了截然不同的行为模式。基于环境暗示性的相关性决策会根据是否满足汉密尔顿规则来实现合作与不合作的强有力混合。相比之下,合作在更广泛的条件下发展到更高的频率,并且遗传亲缘识别为共享的绿胡子性状。这种“过分愉悦”与种姓偏见和生殖偏向的现有模式相吻合。个人通常会以明显的代价帮助他人,以全面包容。结果进一步暗示了绿胡子型亲属识别为共享遗传特征创造任意失控的社会选择的潜力。社会进化中的典型例子可能是同种异体的照顾和蚂蚁的单亲性。亲属识别机制的差异也可能对维持种群内有利的遗传多样性产生影响。

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