A Review of Available eDNA Sampling Methods for Plant Disease Surveillance in Horticultural Nurseries Across Contrasting Phytopathogenic Groups

Phytopathogens threaten natural ecosystems and global food security. Horticultural trade is the main long-distance pathway that causes the spread of these organisms and disease outbreaks worldwide. Most inspections for disease symptoms are conducted visually, but this is insufficient given the large number of plants and the prevalence of asymptomatic infections. Therefore, there is increasing interest in the use of high-throughput sequencing (HTS) and environmental DNA (eDNA) for plant health surveillance. Many studies have used these technologies to detect phytopathogens, but fewer have done so in horticultural settings. Furthermore, much work has focused on the molecular and bioinformatic approaches for this work, with relatively little attention given to sample collection. This systematic review therefore provides an overview of the available sampling methods and their target plant pathogens, with a particular focus on the utility of these sampling methods in horticultural nurseries. It highlights some striking gaps in the literature and opportunities for further research: for example, the detection of bacterial phytopathogens using eDNA has received little attention despite having considerable potential as a surveillance and/or diagnostic tool.

Authors

Institutions

Publication Details

Journal
Horticulturae
Published
2026-02-26
DOI
https://doi.org/10.3390/horticulturae12030278
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Review of Available eDNA Sampling Methods for Plant Disease Surveillance in Horticultural Nurseries Across Contrasting Phytopathogenic Groups

Adam P. Ryan, Craig Mark Murphy, Richard O’Hanlon, Kes Daly et al.
Horticulturae
Environmental DNA in Biodiversity Studies
article

A Review of Available eDNA Sampling Methods for Plant Disease Surveillance in Horticultural Nurseries Across Contrasting Phytopathogenic Groups

Adam P. Ryan, Craig Mark Murphy, Richard O’Hanlon, Kes Daly, Michelle E. H. Thompson
article en

Abstract

Phytopathogens threaten natural ecosystems and global food security. Horticultural trade is the main long-distance pathway that causes the spread of these organisms and disease outbreaks worldwide. Most inspections for disease symptoms are conducted visually, but this is insufficient given the large number of plants and the prevalence of asymptomatic infections. Therefore, there is increasing interest in the use of high-throughput sequencing (HTS) and environmental DNA (eDNA) for plant health surveillance. Many studies have used these technologies to detect phytopathogens, but fewer have done so in horticultural settings. Furthermore, much work has focused on the molecular and bioinformatic approaches for this work, with relatively little attention given to sample collection. This systematic review therefore provides an overview of the available sampling methods and their target plant pathogens, with a particular focus on the utility of these sampling methods in horticultural nurseries. It highlights some striking gaps in the literature and opportunities for further research: for example, the detection of bacterial phytopathogens using eDNA has received little attention despite having considerable potential as a surveillance and/or diagnostic tool.

HorticulturaeVol. 12(3)
Teagasc - The Irish Agriculture and Food Development Authority (IE), Trinity College Dublin (IE), Department of Agriculture Food and the Marine (IE)
Department of Agriculture, Food and the Marine, Ireland
Zero hunger
Openalex Percentile: Top 50%
Environmental DNA in Biodiversity Studies
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.