Biomedical subjects

Bart Lievens

Publications and source records attributed to Bart Lievens.

4 recordsLinked to original sources

PubMed2006

Detecting single nucleotide polymorphisms using DNA arrays for plant pathogen diagnosis.

The lack of a rapid and reliable means for routine pathogen identification has been one of the main limitations in plant disease management, and has pushed the development of culture-independent, molecular approaches. Currently, DNA array technology is the most suitable technique for high-throughput detection and identification, as well as quantification, of multiple pathogens in a single assay. Closely related pathogens that may have completely different host ranges or pathogenicity often differ in only a single to a few base pairs in genes that may be targeted for identification. Therefore, the ability to discriminate single nucleotide polymorphisms (SNPs) should be pursued in any diagnostic assay. In this paper, we demonstrate the utility of DNA array technology to detect SNPs while accounting for specific criteria such as the position of the mismatch, the sequence of the oligonucleotide, and the length and amount of labeled amplicons that are hybridized. When disregarding mismatches at the extreme ends of the oligonucleotides, cross hybridization to single mismatch oligonucleotides is rare when processing environmental samples that contain genetic material from unknown sources. In addition to plant pathology, this study is relevant for any field of research where DNA arrays are used to detect mutations or polymorphisms, ranging from human diagnostics to environmental microbiology and microbial ecology.

DNA, Fungal↗

PubMed2005

Quantitative assessment of phytopathogenic fungi in various substrates using a DNA macroarray.

Detection, identification and quantification of plant pathogens are the cornerstones of preventive plant disease management. To detect multiple pathogens in a single assay, DNA array technology currently is the most suitable technique. However, for sensitive detection, polymerase chain reaction (PCR) amplification before array hybridization is required. To evaluate whether DNA array technology can be used to simultaneously detect and quantify multiple pathogens, a DNA macroarray was designed and optimized for accurate quantification over at least three orders of magnitude of the economically important vascular wilt pathogens Verticillium albo-atrum and Verticillium dahliae. A strong correlation was observed between hybridization signals and pathogen concentrations for standard DNA added to DNA from different origins and for infested samples. While accounting for specific criteria like amount of immobilized detector oligonucleotide and controls for PCR kinetics, accurate quantification of pathogens was achieved in concentration ranges typically encountered in horticultural practice. Subsequently, quantitative assessment of other tomato pathogens (Fusarium oxysporum, Fusarium solani, Pythium ultimum and Rhizoctonia solani) in environmental samples was performed using DNA array technology and correlated to measurements obtained using real-time PCR. As both methods of quantification showed a very high degree of correlation, the reliability and robustness of the DNA array technology is shown.

Agriculture↗

PubMed2003

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.

Alternaria↗

PubMed2003

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.

DNA, Bacterial↗