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Intercellular trafficking via plasmodesmata: molecular layers of complexity

Ziqiang Patrick Li, Andrea Paterlini, Marie Glavier, Emmanuelle Bayer

Cellular and Molecular Life Sciences · 2020 · ▲ 76 citations

Abstract

Plasmodesmata are intercellular pores connecting together most plant cells. These structures consist of a central constricted form of the endoplasmic reticulum, encircled by some cytoplasmic space, in turn delimited by the plasma membrane, itself ultimately surrounded by the cell wall. The presence and structure of plasmodesmata create multiple routes for intercellular trafficking of a large spectrum of molecules (encompassing RNAs, proteins, hormones and metabolites) and also enable local signalling events. Movement across plasmodesmata is finely controlled in order to balance processes requiring communication with those necessitating symplastic isolation. Here, we describe the identities and roles of the molecular components (specific sets of lipids, proteins and wall polysaccharides) that shape and define plasmodesmata structural and functional domains. We highlight the extensive and dynamic interactions that exist between the plasma/endoplasmic reticulum membranes, cytoplasm and cell wall domains, binding them together to effectively define plasmodesmata shapes and purposes.

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Provenance

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OpenAlex
DOI
10.1007/s00018-020-03622-8
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2026-06-11 MST

Cite this

APA
Li, Z.P., Paterlini, A., Glavier, M., &amp; Bayer, E. (2020). Intercellular trafficking via plasmodesmata: molecular layers of complexity. <em>Cellular and Molecular Life Sciences</em>. https://doi.org/10.1007/s00018-020-03622-8
Vancouver
Li ZP, Paterlini A, Glavier M, Bayer E. Intercellular trafficking via plasmodesmata: molecular layers of complexity. Cellular and Molecular Life Sciences. 2020. doi:10.1007/s00018-020-03622-8.
BibTeX
@article{ziqiang2020Interc, title = {Intercellular trafficking via plasmodesmata: molecular layers of complexity}, author = {Ziqiang Patrick Li and Andrea Paterlini and Marie Glavier and Emmanuelle Bayer}, journal = {Cellular and Molecular Life Sciences}, year = {2020}, doi = {10.1007/s00018-020-03622-8}, }

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