ArticlePeerJ2021
Coverage and quality of DNA barcode references for Central and Northern European Odonata.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A DNA Barcode Inventory of Austrian Dragonfly and Damselfly (Insecta: Odonata) Species.Insects · 2025Article
- Comparing eDNA and Transect Methods for Aquatic Biodiversity Assessment in Lakes and Ponds.Molecular ecology resources · 2025Article
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- Article
- A comprehensive DNA barcoding reference database for Plecoptera of Switzerland.Scientific reports · 2024Article
- Age-dependent variation of aedeagal morphology in Agabusuliginosus and the status of A.lotti (Coleoptera, Dytiscidae).ZooKeys · 2024Article
- A DNA barcode library of Austrian geometridae (Lepidoptera) reveals high potential for DNA-based species identification.PloS one · 2024Article
- A DNA barcode reference library for the Tipulidae (Insecta, Diptera) of Germany.Biodiversity data journal · 2024Article
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDragonflies and damselflies (Odonata) are important components in biomonitoring due to their amphibiotic lifecycle and specific habitat requirements. They are charismatic and popular insects, but can be challenging to identify despite large size and often distinct coloration, especially the immature stages. DNA-based assessment tools rely on validated DNA barcode reference libraries evaluated in a supraregional context to minimize taxonomic incongruence and identification mismatches.
methodsThis study reports on findings from the analysis of the most comprehensive DNA barcode dataset for Central European Odonata to date, with 103 out of 145 recorded European species included and publicly deposited in the Barcode of Life Data System (BOLD). The complete dataset includes 697 specimens (548 adults, 108 larvae) from 274 localities in 16 countries with a geographic emphasis on Central Europe. We used BOLD to generate sequence divergence metrics and to examine the taxonomic composition of the DNA barcode clusters within the dataset and in comparison with all data on BOLD.
resultsOver 88% of the species included can be readily identified using their DNA barcodes and the reference dataset provided. Considering the complete European dataset, unambiguous identification is hampered in 12 species due to weak mitochondrial differentiation and partial haplotype sharing. However, considering the known species distributions only two groups of five species possibly co-occur, leading to an unambiguous identification of more than 95% of the analysed Odonata via DNA barcoding in real applications. The cases of small interspecific genetic distances and the observed deep intraspecific variation in
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