Evidence map›Paper›PMID 42348270›Full record

ArticlePest management science2026

PCR-based species identification tools for wireworms (Coleoptera: Elateridae) of economic importance in Canada.

Kathleen Furtado, Willem G van Herk, Simran Kaur Cheema, Carol E Ritland, Richard C Hamelin, Michelle T Franklin

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Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kathleen FurtadoAgassiz Research and Development Centre, Agriculture and Agri-Food Canada, Agassiz, Canada.
Willem G van HerkAgassiz Research and Development Centre, Agriculture and Agri-Food Canada, Agassiz, Canada.ORCID https://orcid.org/0000-0001-5412-8745
Simran Kaur CheemaAgassiz Research and Development Centre, Agriculture and Agri-Food Canada, Agassiz, Canada.
Carol E RitlandDepartment of Forest and Conservation Sciences, Faculty of Forestry and Environmental Stewardship, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0003-1765-6228
Richard C HamelinDepartment of Forest and Conservation Sciences, Faculty of Forestry and Environmental Stewardship, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0003-4006-532X
Michelle T FranklinAgassiz Research and Development Centre, Agriculture and Agri-Food Canada, Agassiz, Canada.ORCID https://orcid.org/0000-0002-5699-437X

Funding

Agriculture and Agri-Food CanadaGenome British Columbia
6 · The paper itself

Abstract

backgroundCoexistence of pest and non-pest wireworms (Coleoptera: Elateridae) in agricultural fields makes species-level identification critical to determine when pest management measures are required. However, morphological identification of wireworms (larval stage of click beetles) is challenging, as larvae are difficult to distinguish based on morphological features and misidentifications are common. Here, we developed species-specific primers for 15 click beetle species to be used in PCR-based species-level identification for agricultural fields across Canada.

resultsPartial sequences of the gene regions cytochrome c oxidase I (COXI), 16S, 12S, 28S, 18S, internal transcribed spacer 2 (ITS2), cytochrome-b (CYTB), elongation factor 1 (EF1), ATP6/8, NADH dehydrogenase 1 (ND1), NADH dehydrogenase 2 (ND2), NADH dehydrogenase 3 (ND3), NADH dehydrogenase 4 (ND4), NADH dehydrogenase 5 (ND5) and NADH dehydrogenase 6 (ND6) were generated for elaterid species of interest. Of these gene regions, primers were designed on the mitochondrial gene regions COXI, CYTB and ND1 that had sufficient variation to discriminate among species and tested for species specificity using additional pest and non-pest species from the families Elateridae, Carabidae, Scarabidae and Silphidae. Specificity testing confirmed that all primer sets were species-specific.

conclusionThe novel primers designed in this study allow for PCR-based species identification of 15 economically important click beetle pest species in Canada. Further testing is needed to validate the assay for use outside of Canada. Accurate species-level identification will benefit pest management professionals by informing management decisions and reducing the use of insurance insecticide applications due to difficulties with identifications of wireworm pest species. © 2026 His Majesty the King in Right of Canada and The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. Reproduced with the permission of the Minister of Agriculture and Agri-Food.

Indexed as

ColeopteraPolymerase Chain ReactionAnimalsCanadaInsect ProteinsLarvaSpecies SpecificityInsect Proteinsclick beetleElateridaeintegrated pest managementmolecular identificationprimer designspecies identification tools

Identifiers

PMID42348270
PMCPMC13569292

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.