Field Evaluation of a Competitive Lateral-flow Assay for Detection of Alternaria brassicae in Vegetable Brassica Crops

On-site detection of inoculum of polycyclic plant pathogens could potentially contribute to management of disease outbreaks. A 6-min, in-field competitive immunochromatographic lateral flow device (CLFD) assay was developed for detection of Alternaria brassicae (the cause of dark leaf spot in brassica crops) in air sampled above the crop canopy. Visual recording of the test result by eye provides a detection threshold of approximately 50 dark leaf spot conidia. Assessment using a portable reader improved test sensitivity. In combination with a weather-driven infection model, CLFD assays were evaluated as part of an in-field risk assessment to identify periods when brassica crops were at risk from A. brassicae infection. The weather-driven model overpredicted A. brassicae infection. An automated 7-day multivial cyclone air sampler combined with a daily in-field CLFD assay detected A. brassicae conidia air samples from above the crops. Integration of information from an in-field detection system (CLFD) with weather-driven mathematical models predicting pathogen infection have the potential for use within disease management systems.

Monitoring Infection Risk for Air and Soil Borne Fungal Plant Pathogens using Antibody and DNA Techniques and Mathematical Models describing Environmental Parameters

Economic losses resulting from disease development can be reduced by accurate and early detection of plant pathogens. Early detection can provide the grower with useful information on optimal crop rotation patterns, varietal selections, appropriate control measures, harvest date and post harvest handling. Classical methods for the isolation of pathogens are commonly used only after disease symptoms. This frequently results in a delay in application of control measures at potentially important periods in crop production. This paper describes the application of both antibody and DNA based systems to monitor infection risk of air and soil borne fungal pathogens and the use of this information with mathematical models describing risk of disease associated with environmental parameters.

Genetic Modification of Disease Resistance: Fungal and Oomycete Pathogens

Development of recombinant DNA technology allowed scientists to manipulate plant genomes, making it possible to study genes and exploit them to modify novel agronomic traits. Here, we review the current and future potential of genetic modification (GM) strategies used to increase the resistance of plants to oomycete and fungal pathogens. Numerous resistance genes (R-genes) have been cloned, and under laboratory conditions, transgenic plants have given promising results against some important plant pathogens. However, only a few have so far been deployed as commercial crop plants.GMof plants to disrupt pathogenicity, such as by inhibiting or degrading pathogenicity factors, especially by necrotrophic pathogens, has also been exploited. The potential to engineer plants for the production of antimicrobial peptides or to modify defense-signaling pathways have been successfully demonstrated under laboratory conditions. The most promising current technology is genome editing, which allows researchers to edit DNA sequences directly in their endogenous environment. The potential of this approach is discussed in detail and examples where broad-spectrum resistance has been achieved are given.