Development of a qPCR Assay for the Detection and Quantification of the Fungal Pathogen <i>Calonectria canadiana</i> on Conifers

ABSTRACT A real‐time PCR TaqMan assay was developed for the detection of Calonectria canadiana , a fungal pathogen responsible for damping off, root rot and seedling blight in conifer forest nurseries in central and eastern North America. While highly significant in Quebec Forest nurseries, coniferous seedling mortality decreased significantly when nurseries transitioned from bare root to container seedling production. However, over the past few years, this pathogen has re‐emerged as a threat and millions of container white spruce seedlings were culled in two nurseries in eastern Quebec. A sensitive detection and quantification assay for C . canadiana was essential to investigate the biological and environmental factors driving this new epidemic. We designed primers and a TaqMan probe targeting the internal transcribed spacer (ITS) of C . canadiana . The resulting Ccan TaqMan assay successfully differentiated C . canadiana from other soil‐borne pathogens of the Nectriaceae encountered in Quebec Forest nurseries. The limit of detection of the assay was established at eight copies of C . canadiana ITS. The Ccan TaqMan assay quickly identified the presence of the pathogen in both symptomatic and asymptomatic white spruce ( Picea glauca ) seedlings. Furthermore, we demonstrated that the pathogen was more easily detected when DNA was extracted from necrotic needles at the base of the stem rather than from necrotic roots. This molecular tool will greatly aid in understanding the biology and epidemiology of C . canadiana .

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Publication Details

Journal
Forest Pathology
Published
2024-09-09
DOI
https://doi.org/10.1111/efp.12885
Citations
1
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.33

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article

Development of a qPCR Assay for the Detection and Quantification of the Fungal Pathogen Calonectria canadiana on Conifers

Louis Bernier, Amélie Potvin, Philippe Tanguay, Nathan Benoit
1 citations
Forest Pathology
Plant Pathogens and Fungal Diseases
0.33
article

Development of a qPCR Assay for the Detection and Quantification of the Fungal Pathogen Calonectria canadiana on Conifers

Louis Bernier, Amélie Potvin, Philippe Tanguay, Nathan Benoit
article en
1 citations

Abstract

ABSTRACT A real‐time PCR TaqMan assay was developed for the detection of Calonectria canadiana , a fungal pathogen responsible for damping off, root rot and seedling blight in conifer forest nurseries in central and eastern North America. While highly significant in Quebec Forest nurseries, coniferous seedling mortality decreased significantly when nurseries transitioned from bare root to container seedling production. However, over the past few years, this pathogen has re‐emerged as a threat and millions of container white spruce seedlings were culled in two nurseries in eastern Quebec. A sensitive detection and quantification assay for C . canadiana was essential to investigate the biological and environmental factors driving this new epidemic. We designed primers and a TaqMan probe targeting the internal transcribed spacer (ITS) of C . canadiana . The resulting Ccan TaqMan assay successfully differentiated C . canadiana from other soil‐borne pathogens of the Nectriaceae encountered in Quebec Forest nurseries. The limit of detection of the assay was established at eight copies of C . canadiana ITS. The Ccan TaqMan assay quickly identified the presence of the pathogen in both symptomatic and asymptomatic white spruce ( Picea glauca ) seedlings. Furthermore, we demonstrated that the pathogen was more easily detected when DNA was extracted from necrotic needles at the base of the stem rather than from necrotic roots. This molecular tool will greatly aid in understanding the biology and epidemiology of C . canadiana .

Forest PathologyVol. 54(5)
Natural Resources Canada (CA), Université Laval (CA)
Natural Resources Canada
Openalex Percentile: Top 41%
Plant Pathogens and Fungal Diseases
0.33
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