Literature DB >> 31897514

Understanding epigenomics based on the rice model.

Yue Lu1, Dao-Xiu Zhou1,2, Yu Zhao3.   

Abstract

KEY MESSAGE: The purpose of this paper provides a comprehensive overview of the recent researches on rice epigenomics, including DNA methylation, histone modifications, noncoding RNAs, and three-dimensional genomics. The challenges and perspectives for future research in rice are discussed. Rice as a model plant for epigenomic studies has much progressed current understanding of epigenetics in plants. Recent results on rice epigenome profiling and three-dimensional chromatin structure studies reveal specific features and implication in gene regulation during rice plant development and adaptation to environmental changes. Results on rice chromatin regulator functions shed light on mechanisms of establishment, recognition, and resetting of epigenomic information in plants. Cloning of several rice epialleles associated with important agronomic traits highlights importance of epigenomic variation in rice plant growth, fitness, and yield. In this review, we summarize and analyze recent advances in rice epigenomics and discuss challenges and directions for future research in the field.

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Year:  2020        PMID: 31897514     DOI: 10.1007/s00122-019-03518-7

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  3 in total

1.  Comparisons of Natural and Cultivated Populations of Corydalis yanhusuo Indicate Divergent Patterns of Genetic and Epigenetic Variation.

Authors:  Chen Chen; Zhi Zheng; Yiqiong Bao; Hanchao Zhang; Christina L Richards; Jinghui Li; Yahua Chen; Yunpeng Zhao; Zhenguo Shen; Chengxin Fu
Journal:  Front Plant Sci       Date:  2020-07-03       Impact factor: 5.753

Review 2.  Physiological and Multi-Omics Approaches for Explaining Drought Stress Tolerance and Supporting Sustainable Production of Rice.

Authors:  Sajad Majeed Zargar; Rakeeb Ahmad Mir; Leonard Barnabas Ebinezer; Antonio Masi; Ammarah Hami; Madhiya Manzoor; Romesh K Salgotra; Najeebul Rehman Sofi; Roohi Mushtaq; Jai Singh Rohila; Randeep Rakwal
Journal:  Front Plant Sci       Date:  2022-01-27       Impact factor: 5.753

Review 3.  Genetic and molecular factors in determining grain number per panicle of rice.

Authors:  Yue Lu; Mingli Chuan; Hanyao Wang; Rujia Chen; Tianyun Tao; Yong Zhou; Yang Xu; Pengcheng Li; Youli Yao; Chenwu Xu; Zefeng Yang
Journal:  Front Plant Sci       Date:  2022-08-04       Impact factor: 6.627

  3 in total

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