Literature DB >> 20650291

Rapid identification and detection of pine pathogenic fungi associated with mountain pine beetles by padlock probes.

Clement K M Tsui1, Bin Wang, Lily Khadempour, Sepideh Massoumi Alamouti, Jörg Bohlmann, Brent W Murray, Richard C Hamelin.   

Abstract

Fifteen million hectares of pine forests in western Canada have been attacked by the mountain pine beetle (Dendroctonus ponderosae; MPB), leading to devastating economic losses. Grosmannia clavigera and Leptographium longiclavatum, are two fungi intimately associated with the beetles, and are crucial components of the epidemic. To detect and discriminate these two closely related pathogens, we utilized a method based on ligase-mediated nucleotide discrimination with padlock probe technology, and signal amplification by hyperbranched rolling circle amplification (HRCA). Two padlock probes were designed to target species-specific single nucleotide polymorphisms (SNPs) located at the inter-generic spacer 2 region and large subunit of the rRNA respectively, which allows discrimination between the two species. Thirty-four strains of G. clavigera and twenty-five strains of L. longiclavatum representing a broad geographic origin were tested with this assay. The HRCA results were largely in agreement with the conventional identification based on morphology or DNA-based methods. Both probes can also efficiently distinguish the two MPB-associated fungi from other fungi in the MPB, as well as other related fungi in the order Ophiostomatales. We also tested this diagnostic method for the direct detection of these fungi from the DNA of MPB. A nested PCR approach was used to enrich amplicons for signal detection. The results confirmed the presence of these two fungi in MPB. Thus, the padlock probe assay coupled with HRCA is a rapid, sensitive and reproducible method for the identification and detection of these ophiostomatoid fungi. Crown
Copyright © 2010. Published by Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20650291     DOI: 10.1016/j.mimet.2010.07.016

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  3 in total

1.  Molecular techniques for pathogen identification and fungus detection in the environment.

Authors:  Clement K M Tsui; James Woodhall; Wen Chen; C André Lévesque; Anna Lau; Cor D Schoen; Christiane Baschien; Mohammad J Najafzadeh; G Sybren de Hoog
Journal:  IMA Fungus       Date:  2011-11-18       Impact factor: 3.515

2.  A novel application of RNase H2-dependent quantitative PCR for detection and quantification of Grosmannia clavigera, a mountain pine beetle fungal symbiont, in environmental samples.

Authors:  Chandra H McAllister; Colleen E Fortier; Kate R St Onge; Bianca M Sacchi; Meaghan J Nawrot; Troy Locke; Janice E K Cooke
Journal:  Tree Physiol       Date:  2018-03-01       Impact factor: 4.196

3.  Detection of nucleic acid targets using ramified rolling circle DNA amplification: a single nucleotide polymorphism assay model.

Authors:  James H Smith; Thomas P Beals
Journal:  PLoS One       Date:  2013-05-27       Impact factor: 3.240

  3 in total

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