人口统计学是解释栽培稻和野生稻高度分化基因座的混杂因素

Jinggong Xiang-Yu, Zhili Gu, Haipeng Li, Bao-Rong Lu
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摘要

由于人工选择,水稻的驯化增加了栽培稻与其野生祖先之间的差异。然而,水稻中高度分化的基因位点是否仅能用中性的人口统计学情景来解释仍是未知数。在这项研究中,我们对亚洲栽培稻的两个亚种(Oryza sativa ssp. japonica 和 Oryza sativa ssp. indica)及其野生祖先(O. rufipogon/O. nivara)的 45 个 InDels(插入/缺失)位点进行了基因分型。其中,17 个位点在水稻栽培品种与其祖先之间存在高度分异(FST > 0.4)。我们在中性人口学情景下进行了基于凝聚态的模拟,发现仅靠中性人口学可以解释栽培稻与野生稻之间高度分化位点的多态性特征。因此,在检测水稻的人工选择时应考虑更多的选择特征。
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Demography as a confounding factor to explain highly diverged loci between cultivated and wild rice
The domestication of rice increases the divergence between cultivated rice and its wild progenitor because of artificial selection. However, it remains unknown whether highly diverged loci in rice can be explained by neutral demographic scenarios alone. In this study, we genotyped 45 InDels (insertion/deletion) in two subspecies of Asian cultivated rice (Oryza sativa ssp. japonica and Oryza sativa ssp. indica) and their wild progenitor (O. rufipogon/O. nivara). Among them, 17 loci are highly diverged (FST > 0.4) between rice cultivars and their ancestor. We performed coalescent-based simulations on neutral demographic scenarios and found that neutral demography alone could explain the polymorphic profiles on those highly diverged loci between cultivated and wild rice. Therefore, more signatures of selection should be considered when detecting artificial selection in rice.
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