Quantitative Epigenetics, European Research Institute for the Biology of Ageing, University Medical Center Groningen, Antonius Deusinglaan 1, Groningen NL-9713 AV, The Netherlands.
Institute for Computational Biology, Helmholtz Center Munich, Ingolstädter Landstrasse 1, Neuherberg 85764, Germany.
Nat Rev Genet. 2016 Jun;17(6):319-32. doi: 10.1038/nrg.2016.45. Epub 2016 May 9.
The field of epigenomics has rapidly progressed from the study of individual reference epigenomes to surveying epigenomic variation in populations. Recent studies in a number of species, from yeast to humans, have begun to dissect the cis- and trans-regulatory genetic mechanisms that shape patterns of population epigenomic variation at the level of single epigenetic marks, as well as at the level of integrated chromatin state maps. We show that this information is paving the way towards a more complete understanding of the heritable basis underlying population epigenomic variation. We also highlight important conceptual challenges when interpreting results from these genetic studies, particularly in plants, in which epigenomic variation can be determined both by genetic and epigenetic inheritance.
表观基因组学领域已经迅速从研究个体参考表观基因组发展到调查群体中的表观基因组变异。最近在从酵母到人等多种物种中的研究开始剖析顺式和反式调控遗传机制,这些机制在单个表观遗传标记水平以及整合染色质状态图谱水平上塑造了群体表观基因组变异的模式。我们表明,这些信息正在为更全面地理解群体表观基因组变异的遗传基础铺平道路。我们还强调了在解释这些遗传研究结果时的重要概念挑战,特别是在植物中,其中表观基因组变异既可以由遗传和表观遗传继承决定。