A simple graphene oxide‐based DNA purification strategy for plant pathogen detection
BACKGROUND The on‐site molecular detection of plant pathogens is particularly important for the development of sustainable agriculture. Extracting DNA from plant tissues, microbes or coexisting environments is complex, labor‐intensive and time‐consuming. To facilitate this process, we propose a DNA...
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Veröffentlicht in: | Pest management science 2024-07, Vol.80 (7), p.3516-3525 |
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Sprache: | eng |
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Zusammenfassung: | BACKGROUND
The on‐site molecular detection of plant pathogens is particularly important for the development of sustainable agriculture. Extracting DNA from plant tissues, microbes or coexisting environments is complex, labor‐intensive and time‐consuming. To facilitate this process, we propose a DNA purification strategy based on graphene oxide (GO).
RESULTS
The excellent adsorption ability of GO was verified by visualizing changes in its microscopic surface and macroscopic mixture. To further optimize the DNA purification, we determined the optimal GO concentration and treatment time at 95 °C (2 mg mL−1 and 2 min, respectively). We confirmed that our strategy is effective on plant tissues and various microorganisms, and that the obtained DNA can be directly used for polymerase chain reaction amplification. Combining the proposed GO‐based DNA purification method with the loop‐mediated isothermal amplification method is superior, in terms of the required steps, time, cost and detection effect, to the cetyltrimethylammonium bromide method and a commercial kit for detecting plant pathogens.
CONCLUSION
We present a feasible, rapid, simple and low‐cost DNA purification method with high practical value for scientific applications in plant pathogen detection. This strategy can also provide important technical support for future research on plant–microbial microenvironments. © 2024 Society of Chemical Industry.
A feasible, rapid, simple and low‐cost DNA purification strategy based on graphene oxide was proposed for plant pathogen detection. |
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ISSN: | 1526-498X 1526-4998 |
DOI: | 10.1002/ps.8056 |