Integrating portable qPCR and image recognition to combat illegal trade in sharks and rays

Illegal trade in sharks and rays continues to undermine global conservation efforts, with enforcement often hampered by the inability to identify products to the species level. Here, we present a portable, cost-effective High-Resolution melt (HRM) assay for rapid DNA-based identification of elasmobranch species in trade. Using a reference library of 669 vouchered tissue samples collected from field operations and international market surveys, we validated the assay's capacity to accurately differentiate at least 55 shark and ray species based on melt curve profiles, including 38 species listed under the Convention on International Trade in Endangered Species of Wild Fauna and Flora. Automated image classification enabled high-throughput identification with 99.2% accuracy. The assay yields results within two hours at a per-sample cost of $1.50, and is compatible with portable qPCR platforms, making it suitable for on-site applications. This approach represents a scalable molecular enforcement tool that can empower local authorities to monitor trade more effectively, support compliance with international regulations, and enhance global efforts to combat wildlife trafficking.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-04
DOI
https://doi.org/10.1038/s41598-025-22370-y
Citations
1
Primary Topic
Ichthyology and Marine Biology
Type
article
Field-Weighted Citation Impact
2.31

Funders

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

Integrating portable qPCR and image recognition to combat illegal trade in sharks and rays

Maria A. Herrera, John K. Carlson, Emma Aitken, Gavin J. P. Naylor et al.
1 citations
Scientific Reports
Ichthyology and Marine Biology
2.31
article

Integrating portable qPCR and image recognition to combat illegal trade in sharks and rays

Maria A. Herrera, John K. Carlson, Emma Aitken, Gavin J. P. Naylor, DeEtta Mills, Diego Cardeñosa, Zhuang Luo, Kyumin Lee
article en
1 citations

Abstract

Illegal trade in sharks and rays continues to undermine global conservation efforts, with enforcement often hampered by the inability to identify products to the species level. Here, we present a portable, cost-effective High-Resolution melt (HRM) assay for rapid DNA-based identification of elasmobranch species in trade. Using a reference library of 669 vouchered tissue samples collected from field operations and international market surveys, we validated the assay's capacity to accurately differentiate at least 55 shark and ray species based on melt curve profiles, including 38 species listed under the Convention on International Trade in Endangered Species of Wild Fauna and Flora. Automated image classification enabled high-throughput identification with 99.2% accuracy. The assay yields results within two hours at a per-sample cost of $1.50, and is compatible with portable qPCR platforms, making it suitable for on-site applications. This approach represents a scalable molecular enforcement tool that can empower local authorities to monitor trade more effectively, support compliance with international regulations, and enhance global efforts to combat wildlife trafficking.

Scientific ReportsVol. 15(1)
NOAA National Marine Fisheries Service (US), Worcester Polytechnic Institute (US), Florida Museum of Natural History (US), Florida International University (US)
National Science Foundation, Wildlife Conservation Society, Mote Marine Laboratory and Aquarium
Openalex Percentile: Top 10%
Ichthyology and Marine Biology
2.31
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.