Goto-Yamada Shino, Oikawa Kazusato, Yamato Katsuyuki T, Kanai Masatake, Hikino Kazumi, Nishimura Mikio, Mano Shoji
Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
Department of Material Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
Front Cell Dev Biol. 2022 May 3;10:883491. doi: 10.3389/fcell.2022.883491. eCollection 2022.
Peroxisomes are present in eukaryotic cells and have essential roles in various biological processes. Plant peroxisomes proliferate by biosynthesis or division of pre-existing peroxisomes, degrade, or replace metabolic enzymes, in response to developmental stages, environmental changes, or external stimuli. Defects of peroxisome functions and biogenesis alter a variety of biological processes and cause aberrant plant growth. Traditionally, peroxisomal function-based screening has been employed to isolate mutants that are defective in peroxisomal metabolism, such as lipid degradation and photorespiration. These analyses have revealed that the number, subcellular localization, and activity of peroxisomes are closely related to their efficient function, and the molecular mechanisms underlying peroxisome dynamics including organelle biogenesis, protein transport, and organelle interactions must be understood. Various approaches have been adopted to identify factors involved in peroxisome dynamics. With the development of imaging techniques and fluorescent proteins, peroxisome research has been accelerated. Image-based analyses provide intriguing results concerning the movement, morphology, and number of peroxisomes that were hard to obtain by other approaches. This review addresses image-based analysis of peroxisome dynamics in plants, especially and .
过氧化物酶体存在于真核细胞中,在各种生物过程中发挥着重要作用。植物过氧化物酶体通过生物合成或已有过氧化物酶体的分裂进行增殖,根据发育阶段、环境变化或外部刺激降解或替换代谢酶。过氧化物酶体功能和生物发生的缺陷会改变多种生物过程,并导致植物生长异常。传统上,基于过氧化物酶体功能的筛选方法被用于分离过氧化物酶体代谢缺陷的突变体,如脂质降解和光呼吸。这些分析表明,过氧化物酶体的数量、亚细胞定位和活性与其有效功能密切相关,必须了解过氧化物酶体动态变化的分子机制,包括细胞器生物发生、蛋白质运输和细胞器相互作用。人们采用了各种方法来鉴定参与过氧化物酶体动态变化的因子。随着成像技术和荧光蛋白的发展,过氧化物酶体研究得到了加速。基于图像的分析提供了关于过氧化物酶体的运动、形态和数量的有趣结果,而这些结果很难通过其他方法获得。本综述探讨了基于图像的植物过氧化物酶体动态分析,特别是和。