Abstract
The data of the is presented. The technology allows to identify the entire spectrum of organisms in an experimental sample per one cycle, while separate study for each potentially contained component previously was required. An integrated approach is submitted as a method for early diagnosis of causative agents of the main fungal diseases during of silver birch (Betula pendula Roth) and downy birch (Betula pubescens Ehrh.) plants. It based on an estimation of the size of internal transcribed spacers (ITS1 and ITS2) in the 18S-5.8S-28S rDNA gene cluster. Identification of the dominant fungi species phytopathogenic for birch under in planta conditions is possible because of the the specificity of size of the rDNA operon internal transcribed spacers, which is constant for most micromycete species, as well as the possibility of electrophoretic analysis of the ITS1 and ITS2 loci.
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