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Qu-2,a Robust Poplar Suspension Cell Line for Molecular Biology

Liu Caixia,Li Kailong,Wang Meng, Research Institute of Forestry, Chinese Academy of Forestry,Yang Chuanping,Wang Junhui,Fu Pengyue,Ge Xiaolan,Sederoff Heike W., North Carolina State University, Northeast Agricultural University,Qu Guanzheng

Journal of Forestry Research(2020)SCI 2区

Northeast Forestry University | Research Institute of Forestry | North Carolina State University

Cited 6|Views15
Abstract
Populus spp.have long been used as model woody plant species for molecular biology research.However,tissues of poplar are often recalcitrant to experimental procedures for molecular studies.We generated a hormone autotrophic poplar suspension cell line from a hybrid of Populus alba × P.berolinensis ’Yinzhong’,named Qu-2.Qu-2 cells are suitable as a model biological system for studying woody plants.Qu-2 cells have many advantages over suspension cell lines derived so far from any other woody plants.Qu-2 cells are very easy to cultivate and can grow on several common plant culture media without the addition of any plant hormone.They show exceptionally high growth rates,reaching an approximately 150-fold increase in biomass after one week of culturing.Another important unique characteristic of Qu-2 cells is that they can be cryopreserved and readily reactivated.Qu-2 cells are suitable for molecular manipulations such as protoplast production,transient transformation,and RNA-seq analysis.Therefore,Qu-2 cells have the great potential to be an excellent model cell line in tree molecular biological research,ranging from physiology to gene function.The Qu-2 cells will be made available to the plant community for research.
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Qu-2 cell line,Suspension cell,Poplar,Protoplast isolation,Transient transformation
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要点】:本文创新性地研发了一种名为Qu-2的杨树悬浮细胞系,具有高度的生长优势和分子生物学研究适用性,为木质植物研究提供了新的模型系统。

方法】:通过从杨树杂交种Populus alba × P.berolinensis ‘Yinzhong’中建立激素自养型的悬浮细胞系,实现了细胞系的优化培养。

实验】:实验成功建立了Qu-2细胞系,该细胞系易于培养,无需添加植物激素即可在多种常见植物培养基上生长,一周内生物量增长约150倍。此外,Qu-2细胞系支持冷冻保存和复活,适用于原生质体生产、瞬时转化和RNA-seq分析。文中未提及具体使用的数据集名称。