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Predicting plasmodesmata-mediated interface permeability and intercellular diffusion

bioRxiv · 8 Aug 2024 · 10.1101/2024.08.06.606906

Abstract

Intercellular communication is essential for plant development and responses to biotic and abiotic stress. A key pathway is diffusive exchange of signal molecules and nutrients via plasmodesmata. These cell wall channels connect the cytoplasms of most cells in land plants. Their small size, with a typical diameter of about 50 nm, and complex structure have hindered the quantification plasmodesmata-mediated intercellular diffusion. This measure is essential for disentangling the contributions of diffusive and membrane transporter-mediated movement of molecules that, together, define cell interactions within and across tissues. We compared the two most promising methods to measure plasmodesmata-mediated interface permeability, live-cell microscopy with fluorescent tracer molecules and transmission electron microscopy-based mathematical modeling, to evaluate the potential for obtaining absolute quantitative values. We applied both methods to 29 cell-cell interfaces from nine angiosperm species and found a stronger association between the modelled and experimentally determined interface permeabilities than between the experimentally-determined permeability and any single structural parameter. By feeding the values into a simulation of an artificial Arabidopsis leaf, we illustrate how interface permeabilities can help to predict diffusion patterns of defense-related molecules, such as glucosinolates and transcription factors.

Plant phenotyping relevance

植物細胞間の原形質連絡を介した界面透過性を測定する2手法を比較・評価しており、植物の生理状態を定量する方法の技術的検証が中心である。

abstractWe compared the two most promising methods to measure plasmodesmata-mediated interface permeability, live-cell microscopy with fluorescent tracer molecules and transmission electron microscopy-based mathematical modeling, to evaluate the potential for obtaining absolute quantitative values.

Code and data availability

The supplied blocks describe TEM imaging, FLIP/photoactivation experiments, and PDinsight-based modeling, but contain no data availability statement, public dataset deposit, image repository, or author code release for this paper's measurements. PDinsight is cited prior work (Deinum 2022), not a paper-specific asset.

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