版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Beijing Forestry Univ Coll Biol Sci & Technol Natl Engn Lab Tree Breeding 35 Qinghua East Rd Beijing 100083 Peoples R China Beijing Forestry Univ Coll Biol Sci & Technol Key Lab Genet & Breeding Forest Trees & Ornamenta 35 Qinghua East Rd Beijing 100083 Peoples R China
出 版 物:《JOURNAL OF EXPERIMENTAL BOTANY》 (实验植物学杂志)
年 卷 期:2016年第67卷第5期
页 面:1477-1492页
核心收录:
学科分类:0710[理学-生物学] 071001[理学-植物学] 07[理学]
基 金:Fundamental Research Funds for Central Universities [TD2012-01] Project of the National Natural Science Foundation of China [31170622, 30872042, 31400553]
主 题:DNA methylation abiotic stress non-coding RNA Populus simonii transcriptome changes
摘 要:DNA methylation plays important roles in responses to environmental stimuli. However, in perennial plants, the roles of DNA methylation in stress-specific adaptions to different abiotic stresses remain unclear. Here, we present a systematic, comparative analysis of the methylome and gene expression in poplar under cold, osmotic, heat, and salt stress conditions from 3h to 24h. Comparison of the stress responses revealed different patterns of cytosine methylation in response to the four abiotic stresses. We isolated and sequenced 1376 stress-specific differentially methylated regions (SDMRs);annotation revealed that these SDMRs represent 1123 genes encoding proteins, 16 miRNA genes, and 17 long non-coding RNA (lncRNA) genes. The SDMR162 region, consisting of Psi-MIR396e and PsiLNCRNA00268512, is regulated by epigenetic pathways and we speculate that PsiLNCRNA00268512 regulates miR396e levels by acting as a target mimic. The ratios of methylated cytosine declined to similar to 35.1% after 1 month of recovery from abiotic stress and to similar to 15.3% after 6 months. Among methylated miRNA genes, only expression of the methylation-regulated gene MIRNA6445a showed long-term stability. Our data provide a strong basis for future work and improve our understanding of the effect of epigenetic regulation of non-coding RNA expression, which will enable in-depth functional analysis.