Computational Tools for Serial Block Electron Microscopy Reveal Plasmodesmata Distributions and Wall Environments

Show full item record



Permalink

http://hdl.handle.net/10138/324845

Citation

Paterlini , A , Belevich , I , Jokitalo , E & Helariutta , Y 2020 , ' Computational Tools for Serial Block Electron Microscopy Reveal Plasmodesmata Distributions and Wall Environments ' , Plant Physiology , vol. 184 , no. 1 , pp. 53-64 . https://doi.org/10.1104/pp.20.00396

Title: Computational Tools for Serial Block Electron Microscopy Reveal Plasmodesmata Distributions and Wall Environments
Author: Paterlini, Andrea; Belevich, Ilya; Jokitalo, Eija; Helariutta, Yrjö
Contributor: University of Helsinki, Electron Microscopy
University of Helsinki, Institute of Biotechnology
University of Helsinki, Organismal and Evolutionary Biology Research Programme
Date: 2020-09-08
Language: eng
Belongs to series: Plant Physiology
ISSN: 0032-0889
URI: http://hdl.handle.net/10138/324845
Abstract: Plasmodesmata are small channels that connect plant cells. While recent technological advances have facilitated analysis of the ultrastructure of these channels, there are limitations to efficiently addressing their presence over an entire cellular interface. Here, we highlight the value of serial block electron microscopy for this purpose. We developed a computational pipeline to study plasmodesmata distributions and detect the presence/absence of plasmodesmata clusters, or pit fields, at the phloem unloading interfaces of Arabidopsis (Arabidopsis thaliana) roots. Pit fields were visualized and quantified. As the wall environment of plasmodesmata is highly specialized, we also designed a tool to extract the thickness of the extracellular matrix at and outside of plasmodesmata positions. We detected and quantified clear wall thinning around plasmodesmata with differences between genotypes, including the recently published plm-2 sphingolipid mutant. Our tools open avenues for quantitative approaches in the analysis of symplastic trafficking.
Subject: 11831 Plant biology
Rights:


Files in this item

Total number of downloads: Loading...

Files Size Format View
53.full.pdf 8.211Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record