School of Biosciences, Cardiff University, Cardiff, U.K.
Biochem Soc Trans. 2023 Aug 31;51(4):1485-1493. doi: 10.1042/BST20221097.
Floral senescence is of fundamental interest in understanding plant developmental regulation, it is of ecological and agricultural interest in relation to seed production, and is of key importance to the production of cut flowers. The biochemical changes occurring are well-studied and involve macromolecular breakdown and remobilisation of nutrients to developing seeds or other young organs in the plant. However, the initiation and regulation of the process and inter-organ communication remain to be fully elucidated. Although ethylene emission, which becomes autocatalytic, is a key regulator in some species, in other species it appears not to be as important. Other plant growth regulators such as cytokinins, however, seem to be important in floral senescence across both ethylene sensitive and insensitive species. Other plant growth regulators are also likely involved. Omics approaches have provided a wealth of data especially in ornamental species where genome data is lacking. Two families of transcription factors: NAC and WRKY emerge as major regulators, and omics information has been critical in understanding their functions. Future progress would greatly benefit from a single model species for understanding floral senescence; however, this is challenging due to the diversity of regulatory mechanisms. Combining omics data sets can be powerful in understanding different layers of regulation, but in vitro biochemical and or genetic analysis through transgenics or mutants is still needed to fully verify mechanisms and interactions between regulators.
花的衰老在理解植物发育调控方面具有根本意义,在与种子生产有关的生态和农业方面具有重要意义,对切花的生产也至关重要。发生的生化变化研究得很好,涉及大分子的分解和营养物质向植物中发育的种子或其他幼嫩器官的再动员。然而,该过程的启动和调节以及器官间的通讯仍有待充分阐明。尽管乙烯的排放(自催化)是一些物种的关键调节剂,但在其他物种中,它似乎并不那么重要。然而,细胞分裂素等其他植物生长调节剂似乎在乙烯敏感和不敏感物种的花衰老中都很重要。其他植物生长调节剂也可能参与其中。组学方法提供了丰富的数据,特别是在缺乏基因组数据的观赏物种中。两类转录因子:NAC 和 WRKY 作为主要的调控因子出现,组学信息对于理解它们的功能至关重要。未来的进展将极大地受益于一个单一的模式物种来理解花的衰老;然而,由于调控机制的多样性,这具有挑战性。结合组学数据集可以有效地理解不同层次的调控,但通过转基因或突变体进行体外生化和/或遗传分析仍然是充分验证调控因子之间的机制和相互作用所必需的。