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

Publication date

2024-12

Authors

de Wit, Jos
Tonn, SebastianISNI 0000000512624387
Shao, Mon Ray
van den Ackerveken, GuidoORCID 0000-0002-0183-8978ISNI 0000000446388098
Kalkman, Jeroen

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

cc_by

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.

Keywords

General Chemistry, General Biochemistry,Genetics and Molecular Biology, General Physics and Astronomy

Citation

de Wit, J, Tonn, S, Shao, M R, Van den Ackerveken, G & Kalkman, J 2024, 'Revealing real-time 3D in vivo pathogen dynamics in plants by label-free optical coherence tomography', Nature Communications, vol. 15, no. 1, 8353. https://doi.org/10.1038/s41467-024-52594-x