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Published on: February 1, 2011
Screening for Exotic Forest Pathogens to Increase Survey Capacity Using Metagenomics
Émilie D Tremblay1, Marc-Olivier Duceppe1, Jean A Bérubé1
1First, second, and sixth authors: Canadian Food Inspection Agency (CFIA), 3851 Fallowfield Road, Ottawa, Ontario, K2H 8P9, Canada; third author: Natural Resources Canada, Laurentian Forestry Centre, 1055 Du P.E.P.S. Street, P.O. Box 10380 Québec, Québec, G1V 4C7, Canada; fourth author: CFIA, 4321 Still Creek Dr, Burnaby, British Columbia, V5C 6S7, Canada; and fifth author: Institut de biologie intégrative et des systèmes, 1030 avenue de la Médecine, Québec, Québec, G1V 0A6, Canada.
Next-generation sequencing (NGS) offers a fast and effective method for screening invasive fungal pathogens in Canada. This approach enhances early detection and aids regulatory agencies in protecting natural resources from forest decline.
Area of Science:
- Plant pathology
- Environmental science
- Genomics
Background:
- Anthropogenic activities and global trade facilitate the introduction and spread of invasive fungal pathogens.
- These pathogens pose a significant threat to Canada's natural resources, leading to extensive forest decline.
- Early detection and prevention are crucial for mitigating the damage caused by invasive species.
Purpose of the Study:
- To evaluate a nationwide sample collection strategy combined with next-generation sequencing (NGS) for rapid and comprehensive screening of exotic invasive fungal species.
- To provide guidance for phytopathology stakeholders, including regulatory agencies, in managing invasive species.
- To assess the potential of NGS to increase survey capacity, detection sensitivity, and reduce costs.
Main Methods:
- A nationwide sample collection strategy was implemented over three years (2013-2015) near high-risk areas in Canada.
- Field samples were processed using high-throughput screening with customized fungi-specific and Phytophthora-specific barcoded primers.
- Next-generation sequencing (NGS) on the Ion Torrent platform generated 45 million reads from 398 samples, followed by validation with species-specific quantitative polymerase chain reaction (qPCR) assays.
Main Results:
- NGS successfully detected several Phytophthora species, which were confirmed by qPCR.
- The invasive fungus Heterobasidion annosum sensu stricto was uniquely identified using metagenomics.
- The study demonstrated that NGS, validated by qPCR, enhances detection sensitivity and survey capacity.
Conclusions:
- The integrated approach of sampling techniques and NGS, validated by qPCR, significantly improves the ability to detect invasive fungal species.
- This methodology offers a cost-effective and time-efficient solution for regulatory agencies to identify potential ports of entry for invasive species.
- The developed method is a valuable tool for plant pathology management, emphasizing early detection and prevention strategies to protect natural resources.
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