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拟南芥的区域级表观突变率。

Region-level epimutation rates in Arabidopsis thaliana.

机构信息

Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.

Department of Molecular Life Sciences, Hans Eisenmann-Zentrum for Agricultural Sciences, Technical University Munich, Freising, Germany.

出版信息

Heredity (Edinb). 2021 Aug;127(2):190-202. doi: 10.1038/s41437-021-00441-w. Epub 2021 May 8.

DOI:10.1038/s41437-021-00441-w
PMID:33966050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8322157/
Abstract

Failure to maintain DNA methylation patterns during plant development can occasionally give rise to so-called "spontaneous epimutations". These stochastic methylation changes are sometimes heritable across generations and thus accumulate in plant genomes over time. Recent evidence indicates that spontaneous epimutations have a major role in shaping patterns of methylation diversity in plant populations. Using single CG dinucleotides as units of analysis, previous work has shown that the epimutation rate is several orders of magnitude higher than the genetic mutation rate. While these large rate differences have obvious implications for understanding genome-methylome co-evolution, the functional relevance of single CG methylation changes remains questionable. In contrast to single CG, solid experimental evidence has linked methylation gains and losses in larger genomic regions with transcriptional variation and heritable phenotypic effects. Here we show that such region-level changes arise stochastically at about the same rate as those at individual CG sites, are only marginal dependent on region size and cytosine density, but strongly dependent on chromosomal location. We also find consistent evidence that region-level epimutations are not restricted to CG contexts but also frequently occur in non-CG regions at the genome-wide scale. Taken together, our results support the view that many differentially methylated regions (DMRs) in natural populations originate from epimutation events and may not be effectively tagged by proximal SNPs. This possibility reinforces the need for epigenome-wide association studies (EWAS) in plants as a way to identify the epigenetic basis of complex traits.

摘要

在植物发育过程中,如果不能维持 DNA 甲基化模式,偶尔会出现所谓的“自发的表观突变”。这些随机的甲基化变化有时可以在几代之间遗传,因此随着时间的推移会在植物基因组中积累。最近的证据表明,自发的表观突变在塑造植物群体中甲基化多样性模式方面起着重要作用。以前的研究使用单个 CG 二核苷酸作为分析单位,表明表观突变率比遗传突变率高几个数量级。虽然这些大的速率差异对理解基因组-甲基组共同进化具有明显的意义,但单个 CG 甲基化变化的功能相关性仍然值得怀疑。与单个 CG 不同,确凿的实验证据将较大基因组区域中的甲基化增益和损失与转录变异和可遗传的表型效应联系起来。在这里,我们表明这种区域水平的变化以与单个 CG 位点相同的速率随机出现,仅与区域大小和胞嘧啶密度有轻微的依赖性,但与染色体位置有很强的依赖性。我们还发现一致的证据表明,区域水平的表观突变不仅限于 CG 环境,而且在全基因组范围内的非 CG 区域也经常发生。总之,我们的研究结果支持这样一种观点,即在自然种群中许多差异甲基化区域(DMR)来源于表观突变事件,并且可能无法被邻近的 SNP 有效标记。这种可能性强化了在植物中进行全基因组关联研究(EWAS)的必要性,以确定复杂性状的表观遗传基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/a138cec12dd9/41437_2021_441_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/9ca4c3a37e57/41437_2021_441_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/816aed4c3a7a/41437_2021_441_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/53c9b7a0cfdb/41437_2021_441_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/81f0df3edaaa/41437_2021_441_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/fe46464710a0/41437_2021_441_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/24d411c076bd/41437_2021_441_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/a138cec12dd9/41437_2021_441_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/9ca4c3a37e57/41437_2021_441_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/f888e9a5e4d8/41437_2021_441_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/816aed4c3a7a/41437_2021_441_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/53c9b7a0cfdb/41437_2021_441_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/81f0df3edaaa/41437_2021_441_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/fe46464710a0/41437_2021_441_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/24d411c076bd/41437_2021_441_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c409/8322157/a138cec12dd9/41437_2021_441_Fig8_HTML.jpg

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