Evidence map›Paper›PMID 39333465›Full record

ArticleNature communications2024

Revealing real-time 3D in vivo pathogen dynamics in plants by label-free optical coherence tomography.

Jos de Wit, Sebastian Tonn, Mon-Ray Shao, Guido Van den Ackerveken, Jeroen Kalkman

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Jos de WitDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0003-3325-1079
Sebastian TonnTranslational Plant Biology, Department of Biology, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-2442-2203
Mon-Ray ShaoTranslational Plant Biology, Department of Biology, Utrecht University, Utrecht, The Netherlands.
Guido Van den AckervekenTranslational Plant Biology, Department of Biology, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-0183-8978
Jeroen KalkmanDepartment of Imaging Physics, Delft University of Technology, Delft, The Netherlands. j.kalkman@tudelft.nl.ORCID 0000-0003-1698-7842

Funding

Dutch Ministry of Health, Welfare and Sport | Rijksinstituut voor Volksgezondheid en Milieu (Netherlands National Institute for Public Health and the Environment) 16293
6 · The paper itself

Abstract

Microscopic imaging for studying plant-pathogen interactions is limited by its reliance on invasive histological techniques, like clearing and staining, or, for in vivo imaging, on complicated generation of transgenic pathogens. We present real-time 3D in vivo visualization of pathogen dynamics with label-free optical coherence tomography. Based on intrinsic signal fluctuations as tissue contrast we image filamentous pathogens and a nematode in vivo in 3D in plant tissue. We analyze 3D images of lettuce downy mildew infection (Bremia lactucae) to obtain hyphal volume and length in three different lettuce genotypes with different resistance levels showing the ability for precise (micro) phenotyping and quantification of the infection level. In addition, we demonstrate in vivo longitudinal imaging of the growth of individual pathogen (sub)structures with functional contrast on the pathogen micro-activity revealing pathogen vitality thereby opening a window on the underlying molecular processes.

Indexed as

Host-Pathogen InteractionsImaging, Three-DimensionalLactucaPlant DiseasesTomography, Optical CoherenceAnimalsHyphaeNematodaOomycetesPlant Leaves

Identifiers

PMID39333465
PMCPMC11437094

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Registered trials

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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 OpenQuestion graph.