首页|Asymmetric epigenome maps of subgenomes reveal imbalanced transcription and distinct evolutionary trends in Brassica napus

Asymmetric epigenome maps of subgenomes reveal imbalanced transcription and distinct evolutionary trends in Brassica napus

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The complexity of the epigenome landscape and transcriptional regulation is significantly increased during plant polyploidization,which drives genome evolution and contributes to the increased adaptability to diverse environments.However,a comprehensive epigenome map of Brassica napus is still unavailable.In this study,we performed integrative analysis of five histone modifications,RNA polymerase Ⅱ occupancy,DNA methylation,and transcriptomes in two B.napus lines (2063A and B409),and established global maps of regulatory elements,chromatin states,and their dynamics for the whole genome (including the An and Cn subgenomes) in four tissue types (young leaf,flower bud,silique,and root) of these two lines.Approximately 65.8％ of the genome was annotated with different epigenomic signals.Compared with the Cn subgenome,the An subgenome possesses a higher level of active epigenetic marks and lower level of repressive epigenetic marks.Genes from subgenome-unique regions contribute to the major differences between the An and Cn subgenomes.Asymmetric histone modifications between homeologous gene pairs reflect their biased expression patterns.We identified a novel bivalent chromatin state (with H3K4me1 and H3K27me3) in B.napus that is associated with tissue-specific gene expression.Furthermore,we observed that different types of duplicated genes have discrepant patterns of histone modification and DNA methylation levels.Collectively,our findings provide a valuable epigenetic resource for allopolyploid plants.

Brassica napusepigenomeChIP-seqgene expression

Qing Zhang、Pengpeng Guan、Lun Zhao、Meng Ma、Liang Xie、Yue Li、Ruiqin Zheng、Weizhi Ouyang、Shunyao Wang、Hongmeijuan Li、Ying Zhang、Yong Peng、Zhilin Cao、Wei Zhang、Qin Xiao、Yuanling Xiao、Tingdong Fu、Guoliang Li、Xingwang Li、Jinxiong Shen

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National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China

National Engineering Research Center of Rapeseed, Huazhong Agricultural University, Wuhan 430070, China

Agricultural Bioinformatics Key Laboratory of Hubei Province, Hubei Engineering Technology Research Center of Agricultural Big Data, 3D Genomics Research Center, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China

This work was financially supported by the National Natural Science Foundation of ChinaThis work was financially supported by the National Natural Science Foundation of ChinaThis work was financially supported by the National Natural Science Foundation of ChinaThis work was financially supported by the National Natural Science Foundation of ChinaThis work was financially supported by the National Natural Science Foundation of ChinaNational Key Research and Development Program of ChinaNational Key Research and Development Program of ChinaChina Postdoctoral Science FoundationFundamental Research Funds for the Central Universitiesopen funds of the National Key Laboratory of Crop Genetic Improvementand the Program for Modern Agricultural Industrial Technology System of China

319300323170116331771422317714022016YFD01013002018YFC16040002017M6124792662018py033ZK201906grant CARS-12

2021

分子植物(英文版)
中科院上海生命科学研究院植物生理生态所　中国植物生理学会

分子植物(英文版)

CSTPCDCSCDSCI
影响因子：0.659
ISSN：1674-2052
年,卷(期)：2021.14(4)
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