Abstract
The fungus Phytophthora fragariae Hickman is a quarantine organism and is as well pathogenic on strawberry as on raspberry [1]. It means that all plantmaterial for export has to be tested on the presence of the fungus. A sensitive and specific detection method is therefore necessary. At IPO-DLO in the Department of Detection we work on the development of such a detection method. In the past work was done to solve this problem by serological methods [2,3,4,5]. Unfortunately with limited succes. In this study a detection method is developed using nested PCR.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hickman, C.J. (1940) The Red Core root disease of the strawberry caused by Phytophthora fragariae. J. Pomol. Hortic. Sci. 18: 89–119
Werres, S. & Casper, R. (1987) Nachweiss von Phytophthora fragariae Hickman in Wurzeln der Erdbeerkultursorte “Tenira” mit Hilfe des enzyme linked immunosorbent assay (ELISA). J. Phytopathol. 118: 367–369
Werres, S. (1988) Enzyme-linked immunosorbent assay (ELISA) as a method for detection of Phytophthora fragariae Hickman in strawberry roots. Nachrichtenbl. Deut. Planzenschutzd. 40: 146–150
Amouzou-Alladaye, E., Dunez, J. & Clerjeau, M. (1988) Immunoenzymatic detection of Phytophthora fragariae in infected strawberry plants. Phytopathology 78: 1022–1026
Olsson, C.H.B. (1995) Diagnosis of Phytophthora infections in raspberry and strawberry plants by ELISA tests. J. Phytopathology 143: 307–310
Stammler, G., Seemüller, E. & Duncan, J.M. (1993) Analysis of RFLPs in nuclear and mitochondrial DNA and the taxonomy of Phytophthora fragariae. Mycol. Res. 97: 150–156
Stammler, G. & Seemüller, E. (1993) Specific and sensitive detection of Phytophthora fragariae var. rubi in raspberry roots by PCR amplification. J. of Plant Disease and Protection 100: 394–400
Lee, S.B. & Taylor, J.W. (1992) Phylogeny of five fungus-like protoctistan Phytophthora species, inferred from the internal transcribed spacers of ribosomal DNA. Mol. Biol. Evol. 9: 636–653
Lee, S.B., White, T.J. & Taylor, J.W. (1993) Detection of Phytophthora species by oligonucleotide hybridization to amplified ribosomal DNA spacers. Phytopathology 83: 177–181
Nazar, R.N., Hu, X., Schmidt, J., Culham, D. & Robb, J. (1991) Potential use of PCR-amplified ribosomal intergenic sequences in the detection and differentiation of Verticillium wilt pathogens. Physiol, and Molec. Plant Pathol. 39: 1–11
Henson, J.M., Goins, T., Grey, W., Mathre, D.E. & Elliott, M.L. (1993) Use of polymerase chain reaction to detect Gaeumannornyces graminis DNA in plants grown in artificially and naturally infested soil. Phytopathology 83: 283–287
Rollo, F., Salvi, R. & Torchia, P. (1990) Highly sensitive and fast detection of Phoma tracheiphila by polymerase chain reaction. Appl. Microbiol. Biotechnol. 32: 572–576
Cooke, D.E.L., Kennedy, D.M., Guy, D.C., Russell, J., Unkles, S.E. & Duncan, J.M. (1996) Relatedness of Group I species of Phytophthora as assessed by randomly amplified polymorphic DNA (RAPDs) and sequences of ribosomal DNA. Mycol. Res. 100: 297–303
Cooke, D.E.L. & Duncan, J.M. (1996) Phylogenetic analysis of Phytophthora spp. based on ITS1 and ITS2 sequences of rRNA. Mycol. Res. (in press)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Kluwer Academic Publishers
About this chapter
Cite this chapter
Bonants, P.J.M., Weerdt, M.HD., van Gentpelzer, M.P.E., Lacourt, I., Cooke, D.E.L., Duncan, J.M. (1997). The Use of Nested PCR for the Detection of Phytophthora Fragariae in Strawberry. In: Dehne, HW., Adam, G., Diekmann, M., Frahm, J., Mauler-Machnik, A., van Halteren, P. (eds) Diagnosis and Identification of Plant Pathogens. Developments in Plant Pathology, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0043-1_9
Download citation
DOI: https://doi.org/10.1007/978-94-009-0043-1_9
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6508-5
Online ISBN: 978-94-009-0043-1
eBook Packages: Springer Book Archive