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父本状况驱动缺乏亲代照料的蜥蜴后代性别比例偏向。

Paternal condition drives progeny sex-ratio bias in a lizard that lacks parental care.

机构信息

Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire 03755, USA.

出版信息

Evolution. 2011 Jan;65(1):220-30. doi: 10.1111/j.1558-5646.2010.01111.x. Epub 2010 Oct 7.

Abstract

Sex-allocation theory predicts that females in good condition should preferentially produce offspring of the sex that benefits the most from an increase in maternal investment. However, it is generally assumed that the condition of the sire has little effect on progeny sex ratio, particularly in species that lack parental care. We used a controlled breeding experiment and molecular paternity analyses to examine the effects of both maternal and paternal condition on progeny sex ratio and progeny fitness in the brown anole (Anolis sagrei), a polygynous lizard that lacks parental care. Contrary to the predictions of sex-allocation theory, we found no relationship between maternal condition and progeny sex ratio. By contrast, progeny sex ratio shifted dramatically from female-biased to male-biased as paternal condition increased. This pattern was driven entirely by an increase in the production of sons as paternal condition improved. Despite strong natural selection favoring large size and high condition in both sons and daughters, we found no evidence that progeny survival was related to paternal condition. Our results emphasize the importance of considering the paternal phenotype in studies of sex allocation and highlight the need for further research into the pathways that link paternal condition to progeny fitness.

摘要

性分配理论预测,身体状况良好的雌性应该优先产生最能从母体投资增加中受益的后代的性别。然而,人们普遍认为,父本的状况对后代的性别比例几乎没有影响,特别是在缺乏亲代照顾的物种中。我们使用控制繁殖实验和分子亲子鉴定分析来研究母本和父本状况对后代性别比例和后代适应性的影响,研究对象是一种缺乏亲代照顾的多配偶蜥蜴——褐安乐蜥(Anolis sagrei)。与性分配理论的预测相反,我们发现母本状况与后代的性别比例之间没有关系。相比之下,随着父本状况的增加,后代的性别比例从雌性偏向急剧转变为雄性偏向。这种模式完全是由于随着父本状况的改善,雄性后代的数量增加所致。尽管自然选择强烈倾向于体型大和状况良好的雄性和雌性后代,但我们没有发现后代存活率与父本状况有关的证据。我们的研究结果强调了在性分配研究中考虑父本表型的重要性,并强调了进一步研究将父本状况与后代适应性联系起来的途径的必要性。

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