Division of Evolution, Ecology & Genetics, Research School of Biology, The Australian National University, Daley road, Canberra, Australian Capital Territory, 2601, Australia.
Department of Animal Ecology, Evolutionary Biology Centre, Uppsala University, Norbyvägen 18D, SE-75236, Uppsala, Sweden.
Biol Rev Camb Philos Soc. 2017 Feb;92(1):108-134. doi: 10.1111/brv.12220. Epub 2015 Sep 25.
Females can benefit from mate choice for male traits (e.g. sexual ornaments or body condition) that reliably signal the effect that mating will have on mean offspring fitness. These male-derived benefits can be due to material and/or genetic effects. The latter include an increase in the attractiveness, hence likely mating success, of sons. Females can potentially enhance any sex-biased benefits of mating with certain males by adjusting the offspring sex ratio depending on their mate's phenotype. One hypothesis is that females should produce mainly sons when mating with more attractive or higher quality males. Here we perform a meta-analysis of the empirical literature that has accumulated to test this hypothesis. The mean effect size was small (r = 0.064-0.095; i.e. explaining <1% of variation in offspring sex ratios) but statistically significant in the predicted direction. It was, however, not robust to correction for an apparent publication bias towards significantly positive results. We also examined the strength of the relationship using different indices of male attractiveness/quality that have been invoked by researchers (ornaments, behavioural displays, female preference scores, body condition, male age, body size, and whether a male is a within-pair or extra-pair mate). Only ornamentation and body size significantly predicted the proportion of sons produced. We obtained similar results regardless of whether we ran a standard random-effects meta-analysis, or a multi-level, Bayesian model that included a correction for phylogenetic non-independence. A moderate proportion of the variance in effect sizes (51.6-56.2%) was due to variation that was not attributable to sampling error (i.e. sample size). Much of this non-sampling error variance was not attributable to phylogenetic effects or high repeatability of effect sizes among species. It was approximately equally attributable to differences (occurring for unknown reasons) in effect sizes among and within studies (25.3, 22.9% of the total variance). There were no significant effects of year of publication or two aspects of study design (experimental/observational or field/laboratory) on reported effect sizes. We discuss various practical reasons and theoretical arguments as to why small effect sizes should be expected, and why there might be relatively high variation among studies. Currently, there are no species where replicated, experimental studies show that mothers adjust the offspring sex ratio in response to a generally preferred male phenotype. Ultimately, we need more experimental studies that test directly whether females produce more sons when mated to relatively more attractive males, and that provide the requisite evidence that their sons have higher mean fitness than their daughters.
女性可以从雄性特征的配偶选择中受益(例如性装饰物或身体状况),这些特征可靠地表明交配对平均后代适应性的影响。这些来自雄性的好处可能是物质和/或遗传的影响。后者包括增加儿子的吸引力,因此可能增加交配成功率。女性可以通过根据伴侣的表型调整后代的性别比例,从而潜在地增强与某些雄性交配的任何性别偏向的好处。一种假设是,当与更有吸引力或更高质量的雄性交配时,雌性应该主要产生雄性后代。在这里,我们对已经积累的实证文献进行了荟萃分析,以检验这一假设。平均效应大小较小(r = 0.064-0.095;即解释后代性别比例变化的<1%),但在预测方向上具有统计学意义。然而,它不能纠正对明显偏向于显著阳性结果的出版偏见。我们还使用研究人员提出的不同雄性吸引力/质量指标(装饰物、行为表现、雌性偏好评分、身体状况、雄性年龄、体型以及雄性是否是配对内或配对外伴侣)来检查关系的强度。只有装饰物和体型显著预测了雄性后代的比例。无论我们运行标准的随机效应荟萃分析,还是包括对系统发育非独立性修正的多层次、贝叶斯模型,我们都得到了类似的结果。效应大小的方差中有相当大的比例(51.6-56.2%)归因于无法归因于抽样误差(即样本量)的变异。这种非抽样误差方差的大部分不能归因于系统发育效应或物种之间效应大小的高可重复性。大约同样归因于研究之间和研究内部效应大小的差异(总方差的 25.3、22.9%)(发生原因不明)。发表年份或研究设计的两个方面(实验/观察或现场/实验室)对报告的效应大小均无显著影响。我们讨论了各种实际原因和理论论点,说明为什么应该预期小的效应大小,以及为什么研究之间会有相对较高的变异。目前,没有重复进行实验研究表明,母亲会根据普遍偏好的雄性表型来调整后代的性别比例的物种。最终,我们需要更多的实验研究来直接测试当与相对更有吸引力的雄性交配时,雌性是否会产生更多的雄性后代,并提供其雄性后代比雌性后代具有更高的平均适应性的必要证据。