Evidence map›Paper›PMID 42397066›Full record

ReviewJournal of experimental botany2026

Novel imaging approaches for visualizing root-mycorrhizal fungal interactions.

Henry W G Birt, Stephen J Paisey, Patrick Möhl, Jasmine Hind, Jiaqi Xu, John Pickett, Matthew Tredwell, David Johnson

Abstract readReview
In one paragraph

Review in Journal of experimental botany, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Henry W G BirtDepartment of Earth and Environmental Sciences, The University of Manchester, Michael Smith Building, Manchester M13 9PL, UK.ORCID 0000-0003-1939-6220
Stephen J PaiseyWales Research and Diagnostic PET Imaging Centre, Cardiff University, University Hospital of Wales, Heath Park, Cardiff CF14 4XN, UK.
Patrick MöhlDepartment of Earth and Environmental Sciences, The University of Manchester, Michael Smith Building, Manchester M13 9PL, UK.
Jasmine HindSchool of Chemistry, Cardiff University Main Building, Park Place, Cardiff CF10 3AT, UK.ORCID 0009-0000-9553-4176
Jiaqi XuNational Facility for X-ray Computed Tomography, Henry Royce Institute Hub Building, Manchester M13 9PL, UK.
John PickettSchool of Chemistry, Cardiff University Main Building, Park Place, Cardiff CF10 3AT, UK.
Matthew TredwellWales Research and Diagnostic PET Imaging Centre, Cardiff University, University Hospital of Wales, Heath Park, Cardiff CF14 4XN, UK.ORCID 0000-0002-4184-5611
David JohnsonLancaster Environment Centre, Lancaster University, Lancaster LA1 4YQ, UK.ORCID 0000-0003-2299-2525

Funding

Biotechnology and Biological Sciences Research Council (BBSRC)European Joint ProgrammeResearch Collaboration Fund awarded by the University of Manchester.Symbiotic Solutions for Healthy Agricultural Landscapes BB/X000729/1
6 · The paper itself

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 visualizing nutrient exchange and structural colonization at subcellular resolution across large sample sizes. This review explores novel imaging approaches that are revolutionizing our understanding of root-mycorrhizal fungal symbioses. Several techniques can now visualize and characterize 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. Artificial intelligence (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.

Indexed as

MycorrhizaePlant RootsSymbiosisAgricultureartificial intelligenceecosystem managementmicro-CTmycorrhizaplant healthpositron emission tomographyquantum nanodot

Identifiers

PMID42397066
PMCPMC13594660

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.