Dynamics of ER stress-induced gene regulation in plants

被引:0
|
作者
Ko, Dae Kwan [1 ,2 ,3 ]
Brandizzi, Federica [1 ,2 ,3 ]
机构
[1] Michigan State Univ, MSU DOE Plant Res Lab, E Lansing, MI 48824 USA
[2] Michigan State Univ, Dept Plant Biol, E Lansing, MI 48824 USA
[3] Michigan State Univ, Great Lakes Bioenergy Res Ctr, E Lansing, MI 48824 USA
基金
美国国家卫生研究院;
关键词
ENDOPLASMIC-RETICULUM STRESS; UNFOLDED PROTEIN RESPONSE; PROGRAMMED CELL-DEATH; TETHERED TRANSCRIPTION FACTOR; LUMINAL BINDING-PROTEIN; BAX INHIBITOR-1; SALT STRESS; HEAT-STRESS; SIGNAL-TRANSDUCTION; ARABIDOPSIS;
D O I
10.1038/s41576-024-00710-4
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Endoplasmic reticulum (ER) stress is a potentially lethal condition that is induced by the abnormal accumulation of unfolded or misfolded secretory proteins in the ER. In eukaryotes, ER stress is managed by the unfolded protein response (UPR) through a tightly regulated, yet highly dynamic, reprogramming of gene transcription. Although the core principles of the UPR are similar across eukaryotes, unique features of the plant UPR reflect the adaptability of plants to their ever-changing environments and the need to balance the demands of growth and development with the response to environmental stressors. The past decades have seen notable progress in understanding the mechanisms underlying ER stress sensing and signalling transduction pathways, implicating the UPR in the effects of physiological and induced ER stress on plant growth and crop yield. Facilitated by sequencing technologies and advances in genetic and genomic resources, recent efforts have driven the discovery of transcriptional regulators and elucidated the mechanisms that mediate the dynamic and precise gene regulation in response to ER stress at the systems level. Plants have uniquely adapted to manage endoplasmic reticulum stress triggered by protein misfolding. The authors review the dynamics of gene expression regulation underlying the unfolded protein response in plants, highlighting recent insights provided by systems-level approaches and omics data.
引用
收藏
页码:513 / 525
页数:13
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