Delft, The Netherlands
September 27, 2024
As the global population surpasses 8 billion, the challenge of producing sufficient food becomes increasingly pressing. The Netherlands stands as the world's second-largest food exporter, efficiently cultivating a wide variety of crops. However, plant diseases such as downy mildew pose significant threats, potentially spoiling farmers' harvests. Dutch researchers from Delft University of Technology have developed the first-ever method to monitor infections in plants in real-time, without the need to destroy them. This knowledge will aid in breeding new, resistant crops that yield higher outputs while reducing pesticide use. The findings are now published in Nature Communications.
Scan of a lettuce leaf at the cellular level with dynamic optical coherence tomography (dOCT). The green lines are the threads of the downy mildew.
Resistant crops
Farmers growing lettuce prefer varieties that are resistant to various diseases, including downy mildew, a common plant disease that causes yellow or brown spots on the upper surfaces of leaves. Delft scientists investigated downy mildew infections in lettuce, a plant species where such infections are typically only visible in their later stages. “There are indeed lettuce varieties that are resistant to downy mildew, but similar to the coronavirus, the disease continually evolves into new variants that can still infect resistant plants. This forces scientists and breeders into a constant race to develop new resistant crops in response to evolving diseases,” explains physicist Jos de Wit, who collaborated with biologists from Utrecht University for his doctoral research.
Real-time tracking
To cultivate crops like lettuce that can better withstand diseases, researchers from Delft University of Technology and Utrecht University have developed a method that allows for imaging common plant infections. For the first time, this can be done without killing the plant and significantly faster than conventional microscopy. “Until now, researchers had to kill a plant for each step in the process, stain it, and then examine it under a microscope,” says Jeroen Kalkman, associate professor in imaging physics. “Now, with this new imaging technique, we can track how a disease develops in a living plant in real-time.”
Higher yields
Plant scientists often don’t know how an infection progresses within a plant and what makes certain crops insensitive to pathogens. This new instrument provides insights, aiding in the cultivation of crops with broader resistance to various diseases. “These crops require fewer pesticides, are better equipped to withstand extreme weather conditions, and ultimately yield much more. This means that, in the long run, more people on Earth can be fed,” Kalkman notes.
Slaplantje waar een monster is uitgehaald voor het onderzoek
Monster uit een slablaadje dat onder de scanner ligt voor dynamische optische coherentie tomografie (dOCT)
Mapping plant diseases
“The technique we used is called dynamic optical coherence tomography (dOCT),” says De Wit. “It involves emitting light and measuring the time it takes for that light to reflect back, similar to ultrasound but with light instead of sound. In just one and a half seconds, we can capture around 50 to 100 images of an infected lettuce leaf. We can effectively map plant diseases with dOCT because the pathogens move more than the plant cells. By assigning colours to areas with more movement, we can generate a strong contrast between the pathogen and the plant. Without dOCT, the disease would only be visible at a much later stage.”
A practical tool
In addition to lettuce, the researchers have demonstrated that their instrument also works for other crops, such as radishes and peppers carrying parasitic roundworms. Further research is needed however to make this technique a user-friendly tool for biologists without a technical background. Kalkman: “I am eager to continue this research to bridge the gap between technology and biology.”
3D scan of infected lettuce cells, captured with dynamic optical coherence tomography (dOCT)
This research was conducted in collaboration with Guido Van den Ackerveken's group at Utrecht University and vegetable and fruit breeder Rijk Zwaan in De Lier (The Netherlands).
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