Non-Random Distribution of EMS-Induced Mutations Reveals Preference for Open Chromatin and Expressed Genes in Rice
文献类型: 外文期刊
作者: Yao, Xue-Feng;Liu, Yanhong;Li, Zhiyong;Jiang, Guo-Qiang;Wang, Wensheng;Lu, Hong;Li, Huihui;Lu, Zefu;Liu, Chun-Ming
作者机构:
关键词: chromatin accessibility;EMS mutagenesis;natural variations
期刊名称: ADVANCED SCIENCE
ISSN:
年卷期: 2025 年
页码:
收录情况: SCIE(2025版) ; ; EI(2025版)
摘要: Mutagenesis is an effective strategy to generate genetic resources for functional genomics and crop improvement. It is widely accepted that chemical-induced mutations are randomly distributed across the genome. However, the randomness of such mutations remains a matter of scientific debate due to a lack of systematic investigation. Although the basic features of mutations induced by different mutagens are known, it remains unresolved whether these mutations correlate with the chromatin state and gene expression. In this study, genomes of the wild-type and 4,619 mutagenized M3 lines derived from treatment with two concentrations of ethyl methane sulfonate (EMS) are sequenced, identifying over 7 million single-nucleotide mutations (SNPms) that covered over 97% of genes in the rice genome. Comprehensive analyses integrated with genomic, epigenomic, and expression data revealed that SNPms are more frequently located in open chromatin regions and actively expressed genes. Within expressed genes, heterozygous SNPms are enriched both upstream and downstream of transcription start sites (TSSs), whereas homozygous SNPms are enriched significantly in the upstream regions. These findings demonstrate that EMS-induced mutations are non-randomly distributed across the rice genome, with a preference for functionally important genomic regions.
分类号:
- 相关文献
作者其他论文 更多>>
-
MFMGP: an integrated machine learning fusion model for genomic prediction
作者:Zhang, Chaopu;Liang, Qiqi;Yu, Yuye;Jin, Shaojuan;Huang, Jinmei;Xu, Zhongping;Liu, Erbao;Wang, Wensheng;Zhang, Fan;Liu, Fangzhou;Shi, Yingyao;Li, Fenge;Li, Zhikang;Jin, Shuangxia;Li, Min
关键词:machine learning;fusion model;genome selection;prediction accuracy
-
Peptide hormones in plants
作者:Zhang, Zhenbiao;Han, Huibin;Zhao, Junxiang;Liu, Zhiwen;Deng, Lei;Wu, Liuji;Niu, Junpeng;Guo, Yongfeng;Wang, Guodong;Gou, Xiaoping;Li, Chao;Li, Chuanyou;Liu, Chun-Ming
关键词:Peptide hormones;Secretions;Proteolytic processing;Post-translational modifications;Receptor-like kinase;Signal transductions
-
Invasive plants detection and distribution patterns analysis through self-attention enhanced semantic segmentation in UAV imagery and Moran's index
作者:Chao, Jun;Wang, Kaiwen;Xu, Beibei;Harty, Mary;Wang, Wensheng;Mcdonnell, Kevin
关键词:Precision agriculture;Invasive plant;UAV;Semantic segmentation;Attention mechanism
-
A Novel OsMPK6-OsMADS47-PPKL1/3 Module Controls Grain Shape and Yield in Rice
作者:Fang, Jingjing;Chun, Yan;Zhang, Fan;Guo, Tingting;Ren, Mengmeng;Zhao, Jinfeng;Yuan, Shoujiang;Wang, Wensheng;Li, Yunhai;Li, Xueyong
关键词:grain shape;kelch-repeat protein phosphatase;MADS-box transcription factors (TFs);MAPK kinase;rice
-
Global Protein Interactome Mapping in Rice Using Barcode-Indexed PCR Coupled with HiFi Long-Read Sequencing
作者:Liu, Xixi;Xia, Dandan;Luo, Jinjin;Li, Mengyuan;Chen, Lijuan;Chen, Yiting;Huang, Jie;Li, Yanan;Xu, Huayu;Yuan, Yang;Cheng, Yu;Li, Zhiyong;Li, Guanghao;Wang, Shiyi;Liu, Xinyong;Liu, Wanning;Zhang, Fengyong;Liu, Zhichao;Tong, Xiaohong;Hou, Yuxuan;Wang, Yifeng;Ying, Jiezheng;Ugli, Abdullaev Mirtemir Baxodir;Ergashev, Mukhammadjon Arabboevich;Zhang, Sanqiang;Yuan, Wenya;Xue, Dawei;Zhang, Jianwei;Zhang, Jian
关键词:barcode-indexed PCR;HiFi sequencing;protein-protein interactome;rice
-
Understanding brassinosteroid-centric phytohormone interactions for crop improvement
作者:Yin, Wenchao;Dong, Nana;Li, Xicheng;Yang, Yanzhao;Lu, Zefu;Zhou, Wenbin;Qian, Qian;Chu, Chengcai;Tong, Hongning
关键词:agronomic trait;brassinosteroid;crop;crosstalk;phytohormone
-
Accurate genomic prediction for grain yield and grain moisture content of maize hybrids using multi-environment data
作者:Wang, Jingxin;Liu, Liwei;He, Kunhui;Gebrewahid, Takele Weldu;Gao, Shang;Tian, Qingzhen;Li, Zhanyi;Song, Yiqun;Guo, Yiliang;Li, Yanwei;Cui, Qinxin;Zhang, Luyan;Wang, Jiankang;Huang, Changling;Li, Liang;Guo, Tingting;Li, Huihui
关键词:GBLUP;genomic prediction;genotype-by-environment interaction;grain yield;maize hybrids;multi-environment