Novel Imaging Approaches for Visualising Root-Mycorrhizal Fungal Interactions

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ID: 319538
2026
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Abstract
Mycorrhizal fungi form essential symbiotic relationships with plant roots, facilitating nutrient exchange and promoting plant health. Understanding their interactions can benefit from advanced imaging techniques capable of visualising nutrient exchange and structural colonisation at subcellular resolutions across large sample sizes. This review explores novel imaging approaches that are revolutionising our understanding of root-mycorrhizal fungal symbioses. Several techniques can now visualise and characterise mycorrhizal fungi and associated root structures non-destructively and in three dimensions, for example, X-ray computed tomography (micro-CT), X-ray fluorescence (XRF) and X-ray absorption near edge structure (XANES) spectroscopy. Metabolic processes and nutrient exchange can be tracked through positron emission tomography (PET), fluorescent nanoparticles (FNPs), and the monitoring of electrical signalling. AI-powered image processing software is enabling high-throughput analysis of complex images generated from a range of sources. Mycorrhiza systems are also able to be tracked in-field at multiple scales: hyperspectral imaging can detect mycorrhizal associations at the kilometre scale, while portable MRI imagers can detect changes at the tissue scale. These converging technologies enable the direct, continuous measurement of structural and metabolic root-mycorrhizal fungi interactions, paving the way for a mechanistic understanding of these vital symbiotic partnerships and their impact on plant health and ecosystem functioning.
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openalex_W7167211583 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Henry W. G. Birt, Stephen J. Paisey, Patrick Möhl, Jasmine Hind, Jiaqi Xu, John Pickett, Matthew Tredwell, David Johnson
Journal Journal of experimental botany
Year 2026
DOI
10.1093/jxb/erag309
URL
https://doi.org/10.1093/jxb/erag309
Keywords Keywords not found

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