Natural epigenetic variation in the female great roundleaf bat (Hipposideros armiger) populations

Natural epigenetic variation in the female great roundleaf bat (Hipposideros armiger) populations
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雌性大圆叶蝠(Hipposideros armiger)种群的自然表观遗传变异

DOI:
10.1007/s00438-012-0704-x
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发表时间:
2012-08-01
影响因子:
3.1
通讯作者:
Feng, Jiang
Feng, Jiang
中科院分区:
生物学3区
文献类型:
--
作者:
Liu, Sen;Sun, Keping;Feng, Jiang

文献摘要

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表观遗传修饰被认为在进化中具有重要作用。DNA甲基化是表观遗传学研究最多的机制之一,甲基化变异对于促进生物体响应环境变化的表型多样性至关重要。评估表观遗传变异在进化中的潜在作用的关键第一步是鉴定DNA甲基化多态性及其与自然群体遗传变异的关系。然而,动物的经验数据很少,特别是野生哺乳动物。蝙蝠被认为是生物指示剂,因为它们对环境扰动的敏感性,它们可能是一个机会,探索野生哺乳动物种群的表观遗传变异。我们的研究是第一个探索这些问题的女性大圆叶蝙蝠(Hipposideros armiger)人口使用甲基化敏感扩增多态性(MSAP)技术。我们用18对引物组合获得了868个MSAP位点,发现:(1)基因组甲基化水平低(平均21.3%),但广泛的DNA甲基化多态性(90.2%)在5 '-CCGG-3'位点;(2)表观遗传变异,结构成不同的之间-(3)表观遗传变异与遗传变异之间存在显著相关(P < 0.05)。这些结果也可能适用于其他野生哺乳动物种群。表观遗传和遗传变异之间的相关性的可能原因进行了讨论。
Epigenetic modifications are considered to have an important role in evolution. DNA methylation is one of the best studied epigenetic mechanisms and methylation variability is crucial for promoting phenotypic diversification of organisms in response to environmental variation. A critical first step in the assessment of the potential role of epigenetic variation in evolution is the identification of DNA methylation polymorphisms and their relationship with genetic variations in natural populations. However, empirical data is scant in animals, and particularly so in wild mammals. Bats are considered as bioindicators because of their sensitivity to environmental perturbations and they may present an opportunity to explore epigenetic variance in wild mammalian populations. Our study is the first to explore these questions in the female great roundleaf bat (Hipposideros armiger) populations using the methylation-sensitive amplified polymorphism (MSAP) technique. We obtained 868 MSAP sites using 18 primer combinations and found (1) a low genomic methylation level (21.3 % on average), but extensive DNA methylation polymorphism (90.2 %) at 5'-CCGG-3' sites; (2) epigenetic variation that is structured into distinct between- (29.8 %) and within- (71.2 %) population components, as does genetic variation; and (3) a significant correlation between epigenetic and genetic variations (P < 0.05). These results may also apply to other wild mammalian populations. The possible causes for the correlation between epigenetic and genetic variations are discussed.