Bait, Wait, Isolate: Can You Catch <i>Phytophthora</i> in Your Neck of the Woods?

Abstract Phytophthora species are an important genus of plant pathogens that have global ecological, cultural, and economic impacts. While some species are endemic and are relatively benign, others can cause devastating disease outbreaks that alter plant communities, reduce biodiversity, and threaten food and forest systems. Because disease management options are extremely limited once an invasive Phytophthora species becomes established, early detection is essential for reducing risks. Baiting methods offer a practical, reliable, and low-cost method to detect Phytophthora species in both natural and cultivated environments. Baits use plant tissue from known Phytophthora hosts, which attracts the invasion of the pathogen if it is present in the system under evaluation. Once the bait is colonized, further testing, such as immunoassays or DNA sequencing, can be used to confirm the presence or identity of the isolated organism. Baiting requires minimal equipment or technical training, and is adaptable for detection in soil, water, and canopy environments. Due to these characteristics, researchers, land managers, and students will find that this method is a reliable means of detecting and assessing the distribution of Phytophthora species within areas of concern. Information © The Authors 2026

Authors

Institutions

Publication Details

Journal
Plant Health Cases
Published
2026-07-22
DOI
https://doi.org/10.1079/planthealthcases.2026.0013
Primary Topic
Plant Pathogens and Resistance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bait, Wait, Isolate: Can You Catch Phytophthora in Your Neck of the Woods?

Norma Kline, Kara Lanning, Joey Hulbert, Marianne Elliott et al.
Plant Health Cases
Plant Pathogens and Resistance
article

Bait, Wait, Isolate: Can You Catch Phytophthora in Your Neck of the Woods?

Norma Kline, Kara Lanning, Joey Hulbert, Marianne Elliott, Lana Hanford, Brodie Buchert
article en

Abstract

Abstract Phytophthora species are an important genus of plant pathogens that have global ecological, cultural, and economic impacts. While some species are endemic and are relatively benign, others can cause devastating disease outbreaks that alter plant communities, reduce biodiversity, and threaten food and forest systems. Because disease management options are extremely limited once an invasive Phytophthora species becomes established, early detection is essential for reducing risks. Baiting methods offer a practical, reliable, and low-cost method to detect Phytophthora species in both natural and cultivated environments. Baits use plant tissue from known Phytophthora hosts, which attracts the invasion of the pathogen if it is present in the system under evaluation. Once the bait is colonized, further testing, such as immunoassays or DNA sequencing, can be used to confirm the presence or identity of the isolated organism. Baiting requires minimal equipment or technical training, and is adaptable for detection in soil, water, and canopy environments. Due to these characteristics, researchers, land managers, and students will find that this method is a reliable means of detecting and assessing the distribution of Phytophthora species within areas of concern. Information © The Authors 2026

Plant Health Cases
Oregon State University (US), Pierce College (US), Pacific University (US), Plant (United States) (US), Washington State University (US)
Life in Land
Openalex Percentile: Top 10%
Plant Pathogens and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.