Iritani Ryosuke, West Stuart A, Abe Jun
Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) RIKEN Wako 351-0198 Japan.
Department of Zoology University of Oxford Oxford OX1 3PS United Kingdom.
Evol Lett. 2021 Jun 3;5(4):370-384. doi: 10.1002/evl3.217. eCollection 2021 Aug.
Hamilton's local mate competition theory provided an explanation for extraordinary female-biased sex ratios in a range of organisms. When mating takes place locally, in structured populations, a female-biased sex ratio is favored to reduce competition between related males, and to provide more mates for males. However, there are a number of wasp species in which the sex ratios appear to more female biased than predicted by Hamilton's theory. It has been hypothesized that the additional female bias in these wasp species results from cooperative interactions between females. We investigated theoretically the extent to which cooperation between related females can interact with local mate competition to favor even more female-biased sex ratios. We found that (i) cooperation between females can lead to sex ratios that are more female biased than predicted by local competition theory alone, and (ii) sex ratios can be more female biased when the cooperation occurs from offspring to mothers before dispersal, rather than cooperation between siblings after dispersal. Our models formally confirm the verbal predictions made in previous experimental studies, which could be applied to a range of organisms. Specifically, cooperation can help explain sex ratio biases in and wasps, although quantitative comparisons between predictions and data suggest that some additional factors may be operating.
汉密尔顿的局部配偶竞争理论为一系列生物中出现的异常雌性偏多的性别比例提供了解释。当在结构化种群中进行局部交配时,雌性偏多的性别比例有利于减少相关雄性之间的竞争,并为雄性提供更多配偶。然而,有许多黄蜂物种的性别比例似乎比汉密尔顿理论所预测的更加偏向雌性。据推测,这些黄蜂物种中额外的雌性偏向是由雌性之间的合作互动导致的。我们从理论上研究了相关雌性之间的合作在何种程度上能够与局部配偶竞争相互作用,从而有利于形成更加雌性偏多的性别比例。我们发现:(i)雌性之间的合作能够导致性别比例比仅由局部竞争理论所预测的更加偏向雌性;(ii)当合作发生在后代向母亲扩散之前而非扩散之后的同胞之间时,性别比例可能会更加偏向雌性。我们的模型正式证实了先前实验研究中的口头预测,这些预测可应用于一系列生物。具体而言,合作有助于解释胡蜂和叶蜂中的性别比例偏差,尽管预测与数据之间的定量比较表明可能还有一些其他因素在起作用。