Consejo Superior de Investigaciones Científicas
UNIDAD ASOCIADA "SISTEMAS AGROFORESTALES": ESTACIÓN FITOPATOLÓXICA DO AREEIRO - MISIÓN BIOLÓGICA DE GALICIA
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Home » Publications » Papers » 2007

Reunión Científica del Grupo de Trabajo de Sanidad Forestal de La Sociedad Española de Ciencias Forestales
Palencia, 25 - 26 de September 2007

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Detección de Armillaria mediante técnicas moleculares a partir de muestras de suelo de diferentes especies forestales


ESCOFET, P¹.; AGUÍN, O¹.; SAINZ, M. J².; MANSILLA, J.P. 1,2

¹Estación Fitopatolóxica do Areeiro. Excma. Diputación Provincial de Pontevedra. Subida a la Robleda s/n. 36153 Pontevedra. efa@efa-dip.org

²Departamento de Producción Vegetal, Universidad de Santiago de Compostela, Campus Universitario, 27002 Lugo, España.




ABSTRACT: Genus Armillaria comprises pathogenic species causing root rot, and later death, of woody species. In the soil, these fungi are propagated by vegetative growth and extended along the roots. Armillaria diagnosis is performed by molecular methods based on fungal DNA amplification from plant samples having mycelia or rhizomorphs. In the present work molecular techniques were used to detect Armillaria in soils with the following symptomatic forestry species: Abies sp., Cedrus spp., Cupressocyparis leylandii, Pinus sp., Chamaecyparis spp., Thuja sp., Tsuga canadensis, Acacia spp., Robinia sp., Betula celtiberica, Castanea sp., Quercus spp., Aesculus hippocastanum, Buxus sp., Eucalyptus sp., Laurus nobilis, Liquidambar sp., Populus alba, Prunus pisardii and Taxus baccatta. Soil samples were taken from areas proximate to plant roots, extracting fungal DNA and later amplification of ITS region with nested-PCR. Product was analyzed by RFLP to differentiate Armillaria species. The comparison of results of the DNA sequencing and morphological analysis of affected plant material, showed that the species more frequently found causing white root rot was A. mellea, although A. ostoyae and A. gallica were also detected.



Keywords: Armillaria spp., root rot, forestry species, nested-PCR, RFLP