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Updated: Jan 9, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
Published on: July 11, 2025
Large-Scale Integrative Taxonomy of the Smallest Insects Reveals Astonishing Temperate Diversity (Hymenoptera:
Catherine Hébert1, Colin Favret1
1Department of Biological Sciences, Université de Montréal, Montréal, Québec, Canada.
Abstract:
Fairyflies (Hymenoptera: Chalcidoidea: Mymaridae) are a diverse but taxonomically understudied group of parasitoid wasps that attack the eggs of other insects. Being among the very smallest of all insects, they are often ignored in biodiversity surveys despite being one of the most abundant microhymenoptera in many habitats. The traditional approach of morphological species delimitation can be challenging due to their minute size and meticulous slide-mounting technique. Ways to accelerate their discovery are needed. We conducted the first large-scale study of Mymaridae in temperate forests, combining DNA megabarcoding and the large-scale integrative taxonomy (LIT) workflow to describe their diversity. We obtained COI barcodes from 2098 specimens and used ASAP and RESL for species delimitation. Between 42 and 114 molecular clusters were delimited. Reducing morphological validation to only 9% of the sample enabled accurate delimitation while limiting time and effort. We confirmed the presence of 55 species, including many potentially new to science. The LIT workflow was effective for Mymaridae, although cryptic diversity remains unresolved in some large clusters, especially in the genera Alaptus and Anagrus, where high haplotype diversity and morphological ambiguity suggest additional hidden species. DNA reference databases proved unreliable, with less than 1% correct species matches, highlighting the taxonomic gap for this group. Nonetheless, we contributed 16 new identified reference barcodes to public databases and added new provincial and national species records for Canada. Our results demonstrate the value of combining molecular and morphological data in a standardised workflow and underscore the importance of improving reference databases for effective biodiversity assessments of dark taxa like microhymenoptera.
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