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Characterization of Rhizosphere Oxidation Associated with Root Development in Rice Using Planar Oxygen Optodes.

Plant physiology · 11 Sept 2026 · 10.1093/plphys/kiag675

Abstract

Rhizosphere oxidation is a key adaptive mechanism in reductive soil environments, in which oxygen released from roots alters rhizosphere redox conditions and regulates biogeochemical processes. Rice plants possess an internal oxygen transport system, and radial oxygen loss (ROL) from roots is closely associated with root development. However, the spatial patterns of ROL in soil and their relationships with root traits remain poorly characterized. In this study, we developed a multimodal imaging system that integrates planar oxygen optodes with X-ray computed tomography to simultaneously visualize rhizosphere oxidation and root development in rice. Daily time-course tracking of individual crown roots revealed dynamic changes in the spatial distribution and magnitude of rhizosphere oxygen in relation to root elongation and aging. Root thickness was positively correlated with dissolved oxygen levels near root tips. Genotypic comparisons further identified a cultivar with reduced rhizosphere oxidation despite possessing thicker roots among the tested genotypes, thereby indicating the involvement of additional physiological processes. Overall, these findings demonstrate that rhizosphere oxidation is regulated by root growth stage and thickness and dynamically modulated during root development.

Plant phenotyping relevance

平面酸素オプトードとX線CTを統合したマルチモーダル画像システムを開発し、根の発達と根圏酸化を時系列・個体別に定量化しており、表現型取得手法が研究の中心である。

abstractwe developed a multimodal imaging system that integrates planar oxygen optodes with X-ray computed tomography to simultaneously visualize rhizosphere oxidation and root development in rice.
abstractDaily time-course tracking of individual crown roots revealed dynamic changes in the spatial distribution and magnitude of rhizosphere oxygen in relation to root elongation and aging.

Code and data availability

The paper's Data availability statement explicitly deposits the authors' RG2DO-Root analysis program together with sample optode and CT images (the paper's phenotyping inputs) in a public GitHub repository, matching the allowed URL.

Codepublic

ing 8 This work was supported by project JPNP18016, commissioned by the New Energy and 9 Industrial Technology Development Organization (NEDO), JST CREST (JPMJCR17O1), 10 and JST ALCA-Next (JPMJAN23D3). 11 12 Data availability 13 The source code and sample data (optode and CT images) are available from the 14 GitHub repository (https://github.com/tsubasa-kawai28/RG2DO-Root).15 16 References 17 Aguilar EA et al. 2003. Oxygen distribution and movement, respiration and nutrient 18 loading in banana roots (Musa spp. L.) subjected to aerated and oxygen-depleted 19 environments. Plant Soil. 253:91–102. https://doi.org/10.1023/A:1024598319404.20 Armstrong W, Wright EJ. 1975. Radial oxygen loss from

Open resource ↗https://github.com/tsubasa-kawai28/RG2DO-Root · RG2DO-Root · pdf-raw-page:19 lines:1-82

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