Early detection and identification of the main fungal pathogens for resistance evaluation of new genotypes of forest trees
Konstantin A. Shestibratov
Oleg Yu. Baranov
Natalya M. Subbotina
Vadim G. Lebedev
Stanislav V. Panteleev
Konstantin V. Krutovsky
Vladimir E. Padutov
Институт фундаментальной биологии и биотехнологии
Базовая кафедра защиты и современных технологии мониторинга лесов
Journal Quartile in Scopus:Q1
Journal Quartile in Web of Science:Q2
Bibliographic Citation:Konstantin A. Shestibratov. Early detection and identification of the main fungal pathogens for resistance evaluation of new genotypes of forest trees [Текст] / Konstantin A. Shestibratov, Oleg Yu. Baranov, Natalya M. Subbotina, Vadim G. Lebedev, Stanislav V. Panteleev, Konstantin V. Krutovsky, Vladimir E. Padutov // Forests. — 2018. — 19(12) (№ 732).
Growing importance of forest plantations increases the demand for phytopathogen resistant forest trees. This study describes an effective method for the early detection and identification of the main fungal phytopathogens in planting material of silver birch (Betula pendula) and downy birch (B. pubescens) based on the estimation of size of the internal transcribed spacers (ITS1 and ITS2) in the 18S-5.8S-28S rDNA gene cluster, which are species-specific for most micromycetes. Electrophoretic assay of the ITS1 and ITS2 loci allowed us to identify the predominant phytopathogenic fungal species in downy and silver birch in planta. This new molecular genetic method can be used to screen birch and other forest trees for different fungal pathogens in evaluation of disease resistance. This information can be useful in breeding of new genotypes of forest trees including transgenic clones with modified wood composition.