. Scientific Frontline: New UBC tool may help stop a destructive insect in its tracks

Monday, March 23, 2026

New UBC tool may help stop a destructive insect in its tracks

Preserved moths.
Photo Credit: UBC

Scientific Frontline: Extended "At a Glance" Summary
: SpongySeq Genomic Tool

The Core Concept: SpongySeq is a specialized DNA analysis tool designed to detect and trace the Asian spongy moth—a highly destructive invasive insect—back to its geographic source. It serves as an advanced diagnostic mechanism to help regulatory officials intercept and stop infestations before they establish in North American forests.

Key Distinction/Mechanism: While the European spongy moth has been established in North America for over a century and spreads slowly due to flightless females, the Asian variant is a high-risk invader capable of long-distance travel and feeding on a broad range of trees, including conifers. SpongySeq functions as a "genomic passport," simultaneously analyzing 283 specific DNA markers from a single biological sample (such as an egg mass, wing, or antenna) to pinpoint the insect's precise geographic origin with 97 percent accuracy.

Major Frameworks/Components

  • Multiplex DNA Marker Analysis: The simultaneous sequencing and evaluation of 283 distinct genetic markers to build a highly accurate biological profile.
  • Geographic Traceability Profiling: Cross-referencing the sequenced genetic data against known populations to identify specific international origin points (e.g., Japan, eastern Russia, northern China, and South Korea).
  • BioSurveillance Integration: The application of genomic data into regulatory diagnostic testing programs to monitor and manage invasion pathways of alien forest pathogens and insects.

Branch of Science: Genomics, Entomology, Forest Conservation Science, and Biosecurity/Ecology.

Future Application: Currently requiring specialized laboratory sequencing equipment, researchers intend to adapt SpongySeq into a portable device for real-time field use by inspectors at shipping ports and border checkpoints. Additionally, the underlying genomic tracing methodology can be adapted to identify and intercept other high-risk invasive species globally.

Why It Matters: The Asian spongy moth is capable of defoliating entire forests within a matter of weeks, posing a catastrophic threat with no strong natural controls. Tracing the origin of intercepted specimens allows regulatory agencies to understand critical invasion pathways and focus inspection efforts where they are most needed. Preventing an outbreak avoids billions of dollars in costs related to lost ecosystem services, extensive phytosanitary interventions, tree replacement, and devastating losses in trade and market access.

Richard Hamelin with moth traps
Photo Credit: UBC

Invasive species cost Canada billions of dollars each year. Now, a team led by UBC researchers has developed a new genomic test that can trace the Asian spongy moth—one of the biggest threats to North America’s forests—back to its source, giving officials a better chance of stopping infestations before they spread.

SpongySeq is a DNA analysis tool designed to detect the Asian spongy moth, an invasive insect capable of defoliating entire forests within weeks. Unlike the European spongy moth, which has been established in North America for more than a century and spreads slowly because its females cannot fly, the Asian variety can travel long distances, feeds on a far wider range of trees—including conifers—and remains a high-risk invader with no strong natural controls.

“Spongy moths often hitchhike on ships by laying egg masses on hulls and cargo, and they are typically detected when vessels arrive and undergo inspection at the port,” said researcher Dr. Richard Hamelin, professor in UBC’s department of forest and conservation sciences. “Once established, they’re nearly impossible to eradicate. Preventing new invasions is the most effective way to protect our forests.”

DNA ‘passport’ reveals source of species

In collaboration with the Canadian Food Inspection Agency, Natural Resources Canada and Université Laval, Dr. Hamelin’s team created a tool that works like a “genomic passport,” analyzing 283 specific DNA markers at once—taken from an egg, wing or antenna—to identify a moth’s geographic origin with 97-per-cent accuracy.

Lead author Dr. Sandrine Picq put the tool into use in the real world, testing egg masses intercepted by U.S. port officials and tracing their origins to Japan, eastern Russia, northern China and South Korea.

“These insights will help regulatory agencies understand invasion pathways and focus inspection efforts where they are most needed,” said Dr. Picq, a researcher at Natural Resources Canada.

Why prevention matters

“Invasive species cost billions of dollars annually in lost ecosystem services, reduced resource sector productivity and management efforts. Preventing an outbreak avoids huge costs in phytosanitary work, loss of trade and market access, tree removal and replacement,” said Brittany Day of the Plant Research & Strategies team at the Canadian Food inspection Agency, where scientists plan to integrate this new tool into their spongy moth diagnostic testing program.

The device itself currently requires specialized sequencing equipment found in laboratories. Researchers eventually aim to adapt SpongySeq for field use so inspectors can identify moth origins in real time at ports and border checkpoints. The same genomic approach could be adapted to track other invasive species.

Reference material: What Is: Invasive Species

Funding: The research, part of the BioSurveillance of Alien Forest Enemies (BioSAFE) project, was published in BMC Genomics and supported by grants from Genome Canada, Genome BC, Genome Quebec and Genomics Research and Development Initiative (GRDI).

Published in journal: BMC Genomics

TitleGenomics-based assessment of the geographic origin of spongy moths (Lymantria dispar) intercepted during vessel inspections, using SpongySeq, an amplicon sequencing panel

Authors: Sandrine Picq, Arnaud Capron, Julien Prunier, Brian Boyle, Abdelmadjid Djoumad, Don Stewart, Yunke Wu, Richard Hamelin, and Michel Cusson

Source/Credit: University of British Columbia | Charlotte Fisher

Reference Number: geno032326_01

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