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多色三维直接随机光学重建显微镜揭示植物细胞壁组装过程中多糖网络的天然状态超微结构。

Multicolor 3D-dSTORM Reveals Native-State Ultrastructure of Polysaccharides' Network during Plant Cell Wall Assembly.

作者信息

Peaucelle Alexis, Wightman Raymond, Haas Kalina Tamara

机构信息

Institut Jean-Pierre Bourgin, INRAE, AgroParisTech, Université Paris-Saclay, 78000, Versailles, France.

Microscopy Core Facility, Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge, CB2 1LR, UK.

出版信息

iScience. 2020 Nov 27;23(12):101862. doi: 10.1016/j.isci.2020.101862. eCollection 2020 Dec 18.

Abstract

The plant cell wall, a form of the extracellular matrix, is a complex and dynamic network of polymers mediating a plethora of physiological functions. How polysaccharides assemble into a coherent and heterogeneous matrix remains mostly undefined. Further progress requires improved molecular-level visualization methods that would gain a deeper understanding of the cell wall nanoarchitecture. dSTORM, a type of super-resolution microscopy, permits quantitative nanoimaging of the cell wall. However, due to the lack of single-cell model systems and the requirement of tissue-level imaging, its use in plant science is almost absent. Here we overcome these limitations; we compare two methods to achieve three-dimensional dSTORM and identify optimal photoswitching dyes for tissue-level multicolor nanoscopy. Combining dSTORM with spatial statistics, we reveal and characterize the ultrastructure of three major polysaccharides, callose, mannan, and cellulose, in the plant cell wall precursor and provide evidence for cellulose structural re-organization related to callose content.

摘要

植物细胞壁作为细胞外基质的一种形式,是一个复杂且动态的聚合物网络,介导着众多生理功能。多糖如何组装成一个连贯且异质的基质在很大程度上仍不明确。进一步的进展需要改进分子水平的可视化方法,以便更深入地了解细胞壁的纳米结构。dSTORM是一种超分辨率显微镜技术,可对细胞壁进行定量纳米成像。然而,由于缺乏单细胞模型系统以及组织水平成像的要求,它在植物科学中的应用几乎不存在。在这里,我们克服了这些限制;我们比较了两种实现三维dSTORM的方法,并确定了用于组织水平多色纳米显微镜的最佳光开关染料。将dSTORM与空间统计学相结合,我们揭示并表征了植物细胞壁前体中三种主要多糖(胼胝质、甘露聚糖和纤维素)的超微结构,并为与胼胝质含量相关的纤维素结构重组提供了证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da9c/7733027/9989cd3fbdb8/fx1.jpg

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