选择另一半,并非偶然 | Nature子刊
2017/01/12
最新一篇发表在Nature子刊的文章揭示,我们对伴侣的选择并非偶然。很大的可能是,我们最终会嫁给(娶到)与自己很像的人,有着类似趋势的身高、体重及才智。科学家们证实,人们倾向于选择遗传信息与自己类似的伴侣。


《Nature Human Behaviour》期刊最新一篇文章揭示,我们选择伴侣并非偶然。有很大的概率是,我们会嫁给(娶到)与自己很像的人,例如身高、体重和受教育水平。来自于昆士兰大学的研究团队证实,我们的基因组影响着我们的喜好。

昆士兰大学的遗传学家Peter Visscher课题组的博士后Matthew Robinson及其团队选取了24000对有着欧洲血统的夫妻,对他们的生理和遗传数据进行了分析。他们筛选出他们的生理特征,例如身高、体重指数(BMI),并预测他们伴侣的身高和BMI。随后,研究人员记录了他们伴侣的实际身高,并将于其与预测结果比对。

结果显示,人身高的基因信息与其伴侣的身高之间统计相关性强。而身体质量的遗传信息与伴侣BMI之间的关联性也较强,但是与身高相比相对较弱。总结而言,人们倾向于选择遗传信息与自己类似的伴侣!

这一研究指明了伴侣选择的一种方式:相比于随机,我们选择对象更趋向于相同的遗传特性。这一机制在自然界可见一斑,例如东方蓝知更鸟(Eastern Bluebird)倾向于与羽毛颜色同样鲜艳多彩的知更鸟在一起。如果羽毛颜色、身高、体型大小等被选择的遗传特性有利于物种生存,那么这种交配倾向将有助于后代更好地应对自然选择。

除了身高和体重指数,研究团队还检测了其他遗传特征,例如教育年限。他们在英国选取了7780对夫妻,分析了与受教育年限相关的遗传标记,并且在伴侣之间发现了高度的相关性。这并不是说,我们基于受教育水平选择配偶,但是这一结果意味着,人们倾向于选择情况类似的伴侣。

这些结果表明,配偶选择“影响人类基因组的结构特征”。这种选择增加了遗传特性在后代之间的延续,例如身高。

参考资料:

Your choice of a life partner is no accident

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  • Genetic evidence of assortative mating in humans

    In human populations, assortative mating is almost univer­sally positive, with similarities between partners for quantit­ative phenotypes1,​2,​3,​4,​5,​6, common disease risk1,3,7,​8,​9,​10, beha­vi­our6,11, social factors12,​13,​14 and personality4,5,11. The causes and genetic consequences of assortative mating remain un­re­solved because partner similarity can arise from different mechanisms: phenotypic assortment based on mate choice15,16, partner interaction and convergence in phenotype over time14,17, or social homogamy where individuals pair according to social or environmental background. Here, we present theory and an analytical approach to test for genetic evidence of assortative mating and find a correlation in genetic value among partners for a range of phenotypes. Across three independent samples of 24,662 spousal pairs in total, we infer a correlation at trait-associated loci between partners for height (0.200, 0.004 standard error, SE) that matched the phenotypic correlation (0.201, 0.004 SE), and a correlation at trait-associated loci for BMI (0.143, 0.007 SE) that was significantly lower than the phenotypic value (0.228, 0.004 SE). We extend our analysis to the UK Biobank study (7,780 pairs), finding evidence of a correlation at trait-associated loci for waist-to-hip ratio (0.101, 0.041 SE), systolic blood pressure (0.138, 0.064 SE) and educational attainment (0.654, 0.014 SE). Our results imply that mate choice, combined with widespread pleiotropy among traits, affects the genomic architecture of traits in humans.

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