Margreet Brouwer

Design and development of a DNA array for rapid detection and identification of multiple tomato vascular wilt pathogens

Fusarium wilt, caused by Fusarium oxysporum f. sp. lycopersici, and Verticillium wilt, caused by either Verticillium albo-atrum or Verticillium dahliae, are devastating diseases of tomato (Lycopersicon esculentum) found worldwide. Monitoring is the cornerstone of integrated pest management of any disease. The lack of rapid, accurate, and reliable means by which plant pathogens can be detected and identified is one of the main limitations in integrated disease management. In this paper, we describe the development of a molecular detection system, based on DNA array technology, for rapid and efficient detection of these vascular wilt pathogens. We show the utility of this array for the sensitive detection of these pathogens from complex substrates like soil, plant tissues and irrigation water, and samples that are collected by tomato growers in their greenhouses.

Quantification of disease progression of several microbial pathogens on Arabidopsis thaliana using real‐time fluorescence PCR

An accurate monitoring of disease progression is important to evaluate disease susceptibility phenotypes. Over the years, Arabidopsis thaliana has become the model species to serve as a host in plant-pathogen interactions. Despite the efforts to study genetic mechanisms of host defense, little efforts are made for a thorough pathogen assessment, often still depending on symptomology. This manuscript describes the use of real-time polymerase chain reaction (PCR) to assess pathogen growth in the host Arabidopsis for a number of frequently studied pathogens. A wide range of correlations between pathogen biomass and fluorescence is demonstrated, demonstrating the theoretical sensitivity of the technique. It is also demonstrated that host DNA does not interfere with the quantification of pathogen DNA over a wide range. Finally, quantification of pathogen biomass in different plant genotypes with a varying degree of resistance shows the capability of this technique to be used for assessment of pathogen development in disease progression.