New Publication Sheds Light on Rapid Detection of Xylella fastidiosa in Olive and Almond Trees
The BIOVEXO project is excited to share a new publication by our project partners CNR, AIT, and DOMCA. This pivotal research focuses on testing infections of Xylella fastidiosa (Xf) in olive and almond trees, showcasing the strides made in early detection and management of this destructive pathogen.
Xylella fastidiosa: A Quarantine Pathogen
Xylella fastidiosa (Xf) is a quarantine pathogen that has severe implications for economically important crops worldwide. This bacterium’s impact is particularly pronounced in regions like Spain, including the Balearic Islands, where different sequence types (STs) of Xf subspecies are prevalent. One of the most notable diseases caused by Xf is almond leaf scorch disease (ALSD) in Prunus species.
The urgency for rapid testing methods to detect Xf at early stages cannot be overstated. Implementing strict containment measures hinges on timely and accurate identification of the pathogen.
Advancements in Molecular Detection: The Application of cLAMP
The publication highlights the application of colorimetric loop-mediated isothermal amplification (cLAMP) in detecting Xf in naturally infected almonds from Mallorca Island, Spain. Molecular detection techniques, such as isothermal amplification reactions, are critical as they allow for simplified instrumentation and the use of raw nucleic acid extracts.
The cLAMP method stands out due to its efficiency and simplicity. By using a quick crude sap extraction without the need for DNA purification, this technique streamlines the detection process. Following tissue homogenization, an alkaline treatment is applied for target DNA extraction before conducting the cLAMP test.
Sensitivity and Accuracy of cLAMP
One of the key findings of this research is the cLAMP assay’s ability to detect Xf at concentrations as low as 100 colony-forming units per milliliter (CFU/mL) of the bacterial suspension diluted in healthy almond sap. This level of sensitivity is crucial for early detection, enabling prompt responses to potential outbreaks.
Furthermore, the study compared the performance of cLAMP with quantitative polymerase chain reaction (qPCR) using the same crude extracts. The results showed an overall positive agreement of about 47% between the two techniques. However, a decrease in cLAMP sensitivity was observed as the bacterial titer declined in infected plants with cycle quantification (Cq) values over 26–27.
Implications for Field Diagnostics
This research underscores the potential of cLAMP as a rapid and cost-effective point-of-care diagnostic method for monitoring Xf directly in the field. The ability to perform quick and reliable tests on-site is a game-changer for managing the spread of Xylella fastidiosa, particularly in regions heavily affected by this pathogen.
By leveraging the strengths of cLAMP, researchers and agricultural professionals can enhance their monitoring efforts, ensuring timely intervention and containment of Xf outbreaks.
Conclusion: A Step Forward in Combating Xylella fastidiosa
The publication by BIOVEXO project partners CNR, AIT, and DOMCA marks a significant advancement in the fight against Xylella fastidiosa. The innovative use of cLAMP for rapid detection of Xf in olive and almond trees represents a promising tool for the agricultural sector.
As we continue to explore and develop new methods for managing this pathogen, the findings from this study provide a solid foundation for future research and practical applications in the field.
For those interested in delving deeper into this research, we invite you to read the full publication and stay tuned for more updates from the BIOVEXO project. Together, we can work towards a sustainable and resilient agricultural future, free from the devastating impact of Xylella fastidiosa.
To find out more, please follow this link to the publication in Applied Sciences.
If you’d like to follow the work of the BIOVEXO project and stay up to date on the fight against Xylella, please sign up for our Newsletter and follow us on Twitter or LinkedIn.
