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

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.

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Publication Details

Journal
Nature Communications
Published
2024-09-27
DOI
https://doi.org/10.1038/s41467-024-52594-x
Citations
8
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
2.61

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article

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

Sebastian Tonn, Jeroen Kalkman, Guido Van den Ackerveken, Mon‐Ray Shao et al.
8 citations
Nature Communications
Plant Pathogens and Fungal Diseases
2.61
article

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

Sebastian Tonn, Jeroen Kalkman, Guido Van den Ackerveken, Mon‐Ray Shao, Jos de Wit
article en
8 citations

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.

Nature CommunicationsVol. 15(1)
Utrecht University (NL), Delft University of Technology (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Rijksinstituut voor Volksgezondheid en Milieu
Life in Land
Openalex Percentile: Top 11%
Plant Pathogens and Fungal Diseases
2.61
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Revealing real-time 3D in vivo pathogen dynamics in plants by label-free optical coherence tomography — Sebastian Tonn, Jeroen Kalkman, et al. · Nature Communications (2024) | TGRS Research Map | TGRS