不仅仅是开花CONSTANS 在植物发育和应激反应中发挥着多方面的作用。

IF 9.3 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Bin Yu, Yilong Hu, Xingliang Hou
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引用次数: 0

摘要

植物进化出了感知和响应光周期变化的卓越能力,从而能够根据季节和环境线索调整其生长和发育。花期过渡是植物生长和发育的关键阶段,标志着植物从无性生殖向生殖生长的转变。CONSTANS(CO)是一种在多种植物中保留下来的中央光周期反应因子,它介导昼长信号以控制花期转换,但其作用机制在不同昼长要求的植物中各不相同。此外,最近的研究还发现了 CO 在器官发育和胁迫反应中的作用。CO在模式植物和作物中的这些多效作用使其成为分子育种的一个潜在目标,旨在改变作物的农艺性状。这篇综述系统地回顾了对 CO 的研究,从 CO 的发现、功能研究到其调控机制的探索以及新发现的功能,为人们深入了解 CO 的作用提供了重要依据,并为未来的研究奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
More than flowering: CONSTANS plays multifaceted roles in plant development and stress responses.

Plants have evolved a remarkable ability to sense and respond to changes in photoperiod, allowing adjustments to their growth and development based on seasonal and environmental cues. The floral transition is a pivotal stage in plant growth and development, signifying a shift from vegetative to reproductive growth. CONSTANS (CO), a central photoperiodic response factor conserved in various plants, mediates day-length signals to control the floral transition, although its mechanisms of action vary among plants with different day-length requirements. In addition, recent studies have uncovered roles for CO in organ development and stress responses. These pleiotropic roles in model plants and crops make CO a potentially fruitful target for molecular breeding aimed at modifying crop agronomic traits. This review systematically traces research on CO, from its discovery and functional studies to the exploration of its regulatory mechanisms and newly discovered functions, providing important insight into the roles of CO and laying a foundation for future research.

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来源期刊
Journal of Integrative Plant Biology
Journal of Integrative Plant Biology 生物-生化与分子生物学
CiteScore
18.00
自引率
5.30%
发文量
220
审稿时长
3 months
期刊介绍: Journal of Integrative Plant Biology is a leading academic journal reporting on the latest discoveries in plant biology.Enjoy the latest news and developments in the field, understand new and improved methods and research tools, and explore basic biological questions through reproducible experimental design, using genetic, biochemical, cell and molecular biological methods, and statistical analyses.
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