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

Area of Science:

• Plant Biology
• Cell Biology
• Microscopy

Background:

• Plasmodesmata are crucial for intercellular communication in plants.
• Analyzing plasmodesmata distribution across cellular interfaces presents challenges.
• Advanced microscopy offers new insights into cellular structures.

Purpose of the Study:

• To evaluate serial block electron microscopy for analyzing plasmodesmata distribution.
• To develop computational tools for quantifying plasmodesmata and associated wall structures.
• To investigate differences in pit field distribution and wall thickness in Arabidopsis roots.

Main Methods:

• Serial block electron microscopy (SBEM) for high-resolution imaging.
• Development of a computational pipeline for automated pit field detection and quantification.
• Design of a tool to measure extracellular matrix thickness at plasmodesmata.

Main Results:

• SBEM effectively visualizes and quantifies plasmodesmata distribution and pit fields.
• The computational pipeline accurately detects pit fields at phloem unloading interfaces.
• Significant wall thinning around plasmodesmata was observed, with genotypic differences noted, including in a sphingolipid mutant.

Conclusions:

• Serial block electron microscopy is valuable for studying plasmodesmata ultrastructure and distribution.
• Novel computational tools facilitate quantitative analysis of plasmodesmata and their environment.
• These methods provide new avenues for understanding symplastic trafficking in plants.