A Probe-Based qPCR Method for Rapid Detection of Ips typographus (Coleoptera: Curculionidae, Scolytinae) in Border Inspections and Forest Surveillance

Ips typographus is one of the most destructive bark beetles affecting conifer forests in Europe, where climatic disturbances and the movement of infested wood can rapidly shift populations from endemic levels to severe outbreaks. Early detection through border inspections and forest monitoring is essential to prevent new introductions and limit the spread of established populations. Here, we developed and validated a probe-based TaqMan qPCR assay, targeting the mitochondrial COI barcode region, for the rapid and species-specific detection of I. typographus from both insect material and environmental DNA recovered from frass and exit-hole wood chips. Validation followed EPPO PM7/98(5) guidelines, assessing analytical specificity, sensitivity, repeatability, reproducibility, and inter-laboratory transferability. High analytical specificity was demonstrated against a broad panel of non-target species, and reliable amplification was obtained across different tested matrices. The method showed strong analytical sensitivity, with limits of detection of 0.32 pg/µL for adult-derived DNA and 1.6 pg/µL for artificial frass. Repeatability, reproducibility, and inter-laboratory blind testing further confirmed the diagnostic reliability of the method. This validated qPCR assay provides a rapid and sensitive molecular tool for the early detection of I. typographus, supporting border inspection and phytosanitary diagnostic laboratories in forest biosecurity activities.

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Publication Details

Journal
Forests
Published
2026-04-01
DOI
https://doi.org/10.3390/f17040440
Primary Topic
Forest Insect Ecology and Management
Type
article
Field-Weighted Citation Impact
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article

A Probe-Based qPCR Method for Rapid Detection of Ips typographus (Coleoptera: Curculionidae, Scolytinae) in Border Inspections and Forest Surveillance

Matteo Bracalini, Domenico Rizzo, Antonio Pietro Garonna, Elia Russo et al.
Forests
Forest Insect Ecology and Management
article

A Probe-Based qPCR Method for Rapid Detection of Ips typographus (Coleoptera: Curculionidae, Scolytinae) in Border Inspections and Forest Surveillance

Matteo Bracalini, Domenico Rizzo, Antonio Pietro Garonna, Elia Russo, Tiziana Panzavolta, Linda Bartolini, Claudia Gabriela Zubieta, Chiara Ranaldi, Andrea Marrucci, Bruno Palmigiano
article en

Abstract

Ips typographus is one of the most destructive bark beetles affecting conifer forests in Europe, where climatic disturbances and the movement of infested wood can rapidly shift populations from endemic levels to severe outbreaks. Early detection through border inspections and forest monitoring is essential to prevent new introductions and limit the spread of established populations. Here, we developed and validated a probe-based TaqMan qPCR assay, targeting the mitochondrial COI barcode region, for the rapid and species-specific detection of I. typographus from both insect material and environmental DNA recovered from frass and exit-hole wood chips. Validation followed EPPO PM7/98(5) guidelines, assessing analytical specificity, sensitivity, repeatability, reproducibility, and inter-laboratory transferability. High analytical specificity was demonstrated against a broad panel of non-target species, and reliable amplification was obtained across different tested matrices. The method showed strong analytical sensitivity, with limits of detection of 0.32 pg/µL for adult-derived DNA and 1.6 pg/µL for artificial frass. Repeatability, reproducibility, and inter-laboratory blind testing further confirmed the diagnostic reliability of the method. This validated qPCR assay provides a rapid and sensitive molecular tool for the early detection of I. typographus, supporting border inspection and phytosanitary diagnostic laboratories in forest biosecurity activities.

ForestsVol. 17(4)
University of Pisa (IT), Institute for Sustainable Plant Protection (IT), State Phytosanitary Administration (CZ), University of Florence (IT), University of Naples Federico II (IT)
Life in Land
Openalex Percentile: Top 27%
Forest Insect Ecology and Management
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