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基因冲突、多重父权与基因组印记的进化

Genetic conflicts, multiple paternity and the evolution of genomic imprinting.

作者信息

Spencer H G, Feldman M W, Clark A G

机构信息

Department of Zoology, University of Otago, Dunedin, New Zealand.

出版信息

Genetics. 1998 Feb;148(2):893-904. doi: 10.1093/genetics/148.2.893.

Abstract

We present nine diallelic models of genetic conflict in which one allele is imprintable and the other is not to examine how genomic imprinting may have evolved. Imprinting is presumed to be either maternal (i.e., the maternally derived gene is inactivated) or paternal. Females are assumed to be either completely monogamous or always bigamous, so that we may see any effect of multiple paternity. In contrast to previous verbal and quantitative genetic models, we find that genetic conflicts need not lead to paternal imprinting of growth inhibitors and maternal imprinting of growth enhancers. Indeed, in some of our models--those with strict monogamy--the dynamics of maternal and paternal imprinting are identical. Multiple paternity is not necessary for the evolution of imprinting, and in our models of maternal imprinting, multiple paternity has no effect at all. Nevertheless, multiple paternity favors the evolution of paternal imprinting of growth inhibitors and hinders that of growth enhancers. Hence, any degree of multiple paternity means that growth inhibitors are more likely to be paternally imprinted, and growth enhancers maternally so. In all of our models, stable polymorphism of imprinting status is possible and mean fitness can decrease over time. Neither of these behaviors have been predicted by previous models.

摘要

我们提出了九种基因冲突的双等位基因模型,其中一个等位基因是可印记的,另一个则不是,以此来研究基因组印记可能是如何进化的。印记被假定为要么是母系的(即母源基因失活),要么是父系的。雌性被假定为要么完全实行一夫一妻制,要么总是一夫二妻制,这样我们就可以观察到多重父权的任何影响。与之前的文字和数量遗传模型不同,我们发现基因冲突不一定会导致生长抑制因子的父系印记和生长增强因子的母系印记。事实上,在我们的一些模型中——那些实行严格一夫一妻制的模型——母系和父系印记的动态是相同的。印记的进化并不需要多重父权,而且在我们的母系印记模型中,多重父权根本没有影响。然而,多重父权有利于生长抑制因子的父系印记的进化,而阻碍生长增强因子的父系印记的进化。因此,任何程度的多重父权都意味着生长抑制因子更有可能被父系印记,而生长增强因子更有可能被母系印记。在我们所有的模型中,印记状态的稳定多态性是可能的,并且平均适合度可能会随着时间的推移而降低。这些行为在之前的模型中都没有被预测到。

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