Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging.

Abstract

The efficiency of N 2 -fixation in legume-rhizobia symbiosis is a function of root nodule activity. Nodules consist of 2 functionally important tissues: (a) a central infected zone (CIZ), colonized by rhizobia bacteria, which serves as the site of N 2 -fixation, and (b) vascular bundles (VBs), serving as conduits for the transport of water, nutrients, and fixed nitrogen compounds between the nodules and plant. A quantitative evaluation of these tissues is essential to unravel their functional importance in N 2 -fixation. Employing synchrotron-based x-ray microcomputed tomography (SR-μCT) at submicron resolutions, we obtained high-quality tomograms of fresh soybean root nodules in a non-invasive manner. A semi-automated segmentation algorithm was employed to generate 3-dimensional (3D) models of the internal root nodule structure of the CIZ and VBs, and their volumes were quantified based on the reconstructed 3D structures. Furthermore, synchrotron x-ray fluorescence imaging revealed a distinctive localization of Fe within CIZ tissue and Zn within VBs, allowing for their visualization in 2 dimensions. This study represents a pioneer application of the SR-μCT technique for volumetric quantification of CIZ and VB tissues in fresh, intact soybean root nodules. The proposed methods enable the exploitation of root nodule's anatomical features as novel traits in breeding, aiming to enhance N 2 -fixation through improved root nodule activity.

Plant phenotyping relevance

SR-μCTと半自動3Dセグメンテーションを用いて根粒内部組織を可視化・体積定量する手法が中心であり、育種に利用可能な新規植物形質を抽出している。

Code and data availability

The paper describes SR-μCT/SR-XRF imaging of soybean root nodules and semi-automated segmentation, but no public phenotype/trait dataset, image data deposit, or authors' analysis code is reported. The referenced software (UFO-KIT, EZ-UFO, Biomedisa, PyMca, Avizo) are generic third-party tools, not paper-specific author

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