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United States Department of Agriculture

Agricultural Research Service

Research Project: CONTROL OF PATHOGENS IN STRAWBERRY AND VEGETABLE PRODUCTION SYSTEMS

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Title: Molecular detection and quantification of Pythium species: Evolving taxonomy, new tools and challenges)

Author
item Schroder, Kurt
item Martin, Frank
item De cock, Arthur
item Levesque, Andre
item Spies, Christoffel
item Okubara, Patricia
item Paulitz, Timothy

Submitted to: Plant Disease
Publication Type: Peer reviewed journal
Publication Acceptance Date: 6/23/2012
Publication Date: 1/1/2013
Citation: Schroeder, K., Martin, F.N., De Cock, A., Levesque, C.A., Spies, C., Okubara, P.A., Paulitz, T.C. 2013. Molecular detection and quantification of Pythium species: Evolving taxonomy, new tools and challenges. Plant Disease. 97(1):4-20.

Interpretive Summary: This manuscript is a review of techniques used for identification and detection of Pythium species from environmental samples. The evolutionary relationships within the genus are discussed and put into context with traditional taxonomic classifications. Molecular techniques for species identification and population analysis are reviewed with the advantages/disadvantages of each discussed. A comprehensive review of the literature on molecular detection of Pythium species using polymerase chain reaction techniques (conventional and real time) is presented and the use of "next generation" techniques for simplified detection discussed.

Technical Abstract: This manuscript is a review of techniques used for identification and detection of Pythium species from environmental samples. The evolutionary relationships within the genus are discussed and put into context with traditional taxonomic classifications. Molecular techniques for species identification and population analysis are reviewed with the advantages/disadvantages of each discussed. A comprehensive review of the literature on molecular detection of Pythium species using polymerase chain reaction techniques (conventional and real time) is presented and the use of "next generation" techniques for simplified detection discussed.

Last Modified: 8/24/2016
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