Single-base methylome analysis reveals dynamic epigenomic differences associated with water deficit in apple.
Single-base methylome analysis reveals dynamic epigenomic differences associated with water deficit in apple.
复制标题
单碱基甲基化组分析揭示了与苹果缺水相关的动态表观基因组差异
DOI:
10.1111/pbi.12820
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发表时间:
2018-03
影响因子:
13.8
通讯作者:
Guan Q
中科院分区:
文献类型:
--
作者:
Xu J;Zhou S;Gong X;Song Y;van Nocker S;Ma F;Guan Q
Cytosine methylation is an essential feature of epigenetic regulation and is involved in various biological processes. Although cytosine methylation has been analysed at the genomic scale for several plant species, there is a general lack of understanding of the dynamics of global and genic DNA methylation in plants growing in environments challenged with biotic and abiotic stresses. In this study, we mapped cytosine methylation at single‐base resolution in the genome of commercial apple (Malus x domestica), and analysed changes in methylation patterns associated with water deficit in representative drought‐sensitive and drought‐tolerant cultivars. We found that the apple genome exhibits ~54%, ~38% and ~8.5% methylation at CG, CHG and CHH sequence contexts, respectively. We additionally documented changes in gene expression associated with water deficit in an attempt to link methylation and gene expression changes. Global methylation and transcription analysis revealed that promoter‐unmethylated genes showed higher expression levels than promoter‐methylated genes. Gene body methylation appears to be positively correlated with gene expression. Water deficit stress was associated with changes in methylation at a multitude of genes, including those encoding transcription factors (TFs) and transposable elements (TEs). These results present a methylome map of the apple genome and reveal widespread DNA methylation alterations in response to water deficit stress. These data will be helpful for understanding potential linkages between DNA methylation and gene expression in plants growing in natural environments and challenged with abiotic and biotic stresses.
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影响因子:
48
作者:
Langmead, Ben;Salzberg, Steven L.
通讯作者:
Salzberg, Steven L.
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
14.9
作者:
Kanehisa M;Araki M;Goto S;Hattori M;Hirakawa M;Itoh M;Katayama T;Kawashima S;Okuda S;Tokimatsu T;Yamanishi Y
通讯作者:
Yamanishi Y
影响因子:
56.9
作者:
Jacobsen, SE;Meyerowitz, EM
通讯作者:
Meyerowitz, EM
影响因子:
7
作者:
Gent JI;Ellis NA;Guo L;Harkess AE;Yao Y;Zhang X;Dawe RK
通讯作者:
Dawe RK