Ecology and Evolution
Universitetsparken 15, 2100 København Ø
1984 Master of Science (Cand.scient.) in biology, University of Copenhagen
1985 Practical and theoretical training as high school teacher in biology
1989 Ph.D. (Lic.scient) at Institut for Sporeplanter.
1982 Masters student at Department of Agricultural research, Risø national Laboratory
1985 Teacher, Frederiksund Amtsgymnasium
1986 Research fellow at Department of Mycology, University of Copenhagen
1986 Visiting scientist at Soil Microbiol. Dept., Rothamsted Experimental Station, England
1989 Post-doctoral fellow, Danish Natural Research Council, University of Copenhagen
1990 Consultant for the EC Commission DG XI Developing guidelines for directives on release of genetically modified organisms. Employed at Department of Ecology and Molecular biology, Section for Microbiology, Danish Agricultural University
1991 Assistant Professor, Department of Mycology
1994 Associate Professor Department of Mycology
2000 Professor Department of Mycology
Mycology, plant pathology, population genetics, evolutionary biology, molecular ecology
Molecular ecology, population genetics and evolution of fungi with emphasis on biotrophic symbionts and parasites. Among the studied fungi are Fusarium, Penicillium, various Oomycota (Peronosporamycota) as well as the arbuscular mycorrhizal fungi (AMF) in Glomales and fungi associated with insects. We use rad-sequencing, microsatellites, SNPs, DNA sequencing in to generate markers for these studies. The project (BioMark) is using population genomics to associate genetic markers and phenotypic traits of Phytophthora infestans (Potato late blight) to predict emerging epidemics. Molecular diversity and population genetics of AMF fungi in agricultural fields and natural vegetation is studied from variation in various gene sequences. Evolutionary and demographic models based on coalescence and MCMC Bayesian statistics are used to explain fungal diversity and distribution patterns. Hierarchical joint species modeling and co-occurrence networks implemented in analysis of microbial community data.