Preinvasion Assessment of Exotic Bark Beetle-Vectored Fungi to Detect Tree-Killing Pathogens
(2022) In Phytopathology 112(2). p.261-270- Abstract
Exotic diseases and pests of trees have caused continental-scale disturbances in forest ecosystems and industries, and their invasions are considered largely unpredictable. We tested the concept of preinvasion assessment of not yet invasive organisms, which enables empirical risk assessment of potential invasion and impact. Our example assesses fungi associated with Old World bark and ambrosia beetles and their potential to impact North American trees. We selected 55 Asian and European scolytine beetle species using host use, economic, and regulatory criteria. We isolated 111 of their most consistent fungal associates and tested their effect on four important southeastern American pine and oak species. Our test dataset found no highly... (More)
Exotic diseases and pests of trees have caused continental-scale disturbances in forest ecosystems and industries, and their invasions are considered largely unpredictable. We tested the concept of preinvasion assessment of not yet invasive organisms, which enables empirical risk assessment of potential invasion and impact. Our example assesses fungi associated with Old World bark and ambrosia beetles and their potential to impact North American trees. We selected 55 Asian and European scolytine beetle species using host use, economic, and regulatory criteria. We isolated 111 of their most consistent fungal associates and tested their effect on four important southeastern American pine and oak species. Our test dataset found no highly virulent pathogens that should be classified as an imminent threat. Twenty-two fungal species were minor pathogens, which may require context-dependent response for their vectors at North American borders, while most of the tested fungi displayed no significant impact. Our results are significant in three ways; they ease the concerns over multiple overseas fungus vectors suspected of heightened potential risk, they provide a basis for the focus on the prevention of introduction and establishment of species that may be of consequence, and they demonstrate that preinvasion assessment, if scaled up, can support practical risk assessment of exotic pathogens.
(Less)
- author
- organization
- publishing date
- 2022-02
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Epidemiology, Forest pathology, Fungal pathogens, Host–parasite interactions
- in
- Phytopathology
- volume
- 112
- issue
- 2
- pages
- 10 pages
- publisher
- American Phytopathological Society
- external identifiers
-
- scopus:85125017043
- pmid:34261341
- ISSN
- 0031-949X
- DOI
- 10.1094/PHYTO-01-21-0041-R
- language
- English
- LU publication?
- yes
- additional info
- Funding Information: Funding: C. Bateman, J. Hulcr, M. A. Jusino, Y. Li, and J. Sun were partially supported by the U.S. Department of Agriculture (USDA) Animal and Plant Health Inspection Service, the U.S. Forest Service Forest Health Protection, the USDA-FS Southern Research Station, the National Science Foundation (grant 1414801 to C. Bateman and grants 1834264 and 1556283 to J. Hulcr), the Florida Department of Agriculture and Consumer Services–Division of Plant Industry, the University of Florida Institute of Food and Agricultural Sciences, and the University of Florida Emerging Pathogens Institute. M. Kola≤rík was partly supported by Ministry of Agriculture of the Czech Republic institutional support grant MZE-RO0118. Publisher Copyright: © 2022 The American Phytopathological Society
- id
- 4afd5674-e30b-4939-b3be-1f498d0b6641
- date added to LUP
- 2022-05-06 11:28:06
- date last changed
- 2024-09-11 03:52:58
@article{4afd5674-e30b-4939-b3be-1f498d0b6641, abstract = {{<p>Exotic diseases and pests of trees have caused continental-scale disturbances in forest ecosystems and industries, and their invasions are considered largely unpredictable. We tested the concept of preinvasion assessment of not yet invasive organisms, which enables empirical risk assessment of potential invasion and impact. Our example assesses fungi associated with Old World bark and ambrosia beetles and their potential to impact North American trees. We selected 55 Asian and European scolytine beetle species using host use, economic, and regulatory criteria. We isolated 111 of their most consistent fungal associates and tested their effect on four important southeastern American pine and oak species. Our test dataset found no highly virulent pathogens that should be classified as an imminent threat. Twenty-two fungal species were minor pathogens, which may require context-dependent response for their vectors at North American borders, while most of the tested fungi displayed no significant impact. Our results are significant in three ways; they ease the concerns over multiple overseas fungus vectors suspected of heightened potential risk, they provide a basis for the focus on the prevention of introduction and establishment of species that may be of consequence, and they demonstrate that preinvasion assessment, if scaled up, can support practical risk assessment of exotic pathogens.</p>}}, author = {{Li, You and Bateman, Craig and Skelton, James and Wang, Bo and Black, Adam and Huang, Yin Tse and Gonzalez, Allan and Jusino, Michelle A. and Nolen, Zachary J. and Freeman, Stanley and Mendel, Zvi and Kolarık, Miroslav and Knızek, Milos and Park, Ji Hyun and Sittichaya, Wisut and Pham, Thai Hong and Ito, Shin Ichiro and Torii, Masato and Gao, Lei and Johnson, Andrew J. and Lu, Min and Sun, Jianghua and Zhang, Zhen and Adams, Damian C. and Hulcr, Jiri}}, issn = {{0031-949X}}, keywords = {{Epidemiology; Forest pathology; Fungal pathogens; Host–parasite interactions}}, language = {{eng}}, number = {{2}}, pages = {{261--270}}, publisher = {{American Phytopathological Society}}, series = {{Phytopathology}}, title = {{Preinvasion Assessment of Exotic Bark Beetle-Vectored Fungi to Detect Tree-Killing Pathogens}}, url = {{http://dx.doi.org/10.1094/PHYTO-01-21-0041-R}}, doi = {{10.1094/PHYTO-01-21-0041-R}}, volume = {{112}}, year = {{2022}}, }