ArticleMolecular ecology resources2019
A DNA barcode library for 5,200 German flies and midges (Insecta: Diptera) and its implications for metabarcoding-based biomonitoring.
Article in Molecular ecology resources, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed, 138 citations in OpenAlex.
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- Combining Time-Stamped Insect Sampling With eDNA-Metabarcoding of Guano to Reconstruct Community Interactions.Ecology and evolution · 2026Article
- 16S rRNA sequence dataset for the identification of the French hoverflies (Diptera, Syrphidae).Biodiversity data journal · 2026Article
- Surveying tropical faunal diversity via airborne DNA analyses.Scientific reports · 2025Article
- A DNA Barcode Inventory of Austrian Dragonfly and Damselfly (Insecta: Odonata) Species.Insects · 2025Article
- DNA barcode reference library of bush-crickets (Orthoptera, Tettigoniidae) from the Iberian Peninsula.Scientific reports · 2025Article
- Article
- EntoSieve: Automated Size-Sorting of Insect Bulk Samples to Aid Accurate Megabarcoding and Metabarcoding.Molecular ecology resources · 2025Article
- Data on insect biodiversity in a Chinese potato agroecosystem from DNA metabarcoding.Scientific data · 2025Article
- Identification of BOLD engine deficiencies and suggestions for improvement based on a curated Tachina (Diptera) record set.PloS one · 2025Article
- Megabarcoding dark taxa - Assessing the utility of mass DNA barcoding for phorid fly species discovery.PloS one · 2025Article
- Barcoding of Italian mosquitoes (BITMO): generation and validation of DNA barcoding reference libraries for native and alien species of Culicidae.Parasites & vectors · 2024Article
- A comprehensive DNA barcoding reference database for Plecoptera of Switzerland.Scientific reports · 2024Article
- Scalable, Cost-Effective, and Decentralized DNA Barcoding with Oxford Nanopore Sequencing.Methods in molecular biology (Clifton, N.J.) · 2024Article
- A DNA barcode reference library for the Tipulidae (Insecta, Diptera) of Germany.Biodiversity data journal · 2024Article
- Principles for Constructing DNA Barcode Reference Libraries.Methods in molecular biology (Clifton, N.J.) · 2024Article
- In silico assessment of 18S rDNA metabarcoding markers for the characterization of nematode communities.PloS one · 2024Article
- The diversity of ignorance and the ignorance of diversity: origins and implications of "shadow diversity" for conservation biology and extinction.Cambridge prisms. Extinction · 2024Review
- New faunistic data on Diptera (Hexapoda, Insecta) from the ZiaratBiodiversity data journal · 2024Article
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
This study summarizes results of a DNA barcoding campaign on German Diptera, involving analysis of 45,040 specimens. The resultant DNA barcode library includes records for 2,453 named species comprising a total of 5,200 barcode index numbers (BINs), including 2,700 COI haplotype clusters without species-level assignment, so called "dark taxa." Overall, 88 out of 117 families (75%) recorded from Germany were covered, representing more than 50% of the 9,544 known species of German Diptera. Until now, most of these families, especially the most diverse, have been taxonomically inaccessible. By contrast, within a few years this study provided an intermediate taxonomic system for half of the German Dipteran fauna, which will provide a useful foundation for subsequent detailed, integrative taxonomic studies. Using DNA extracts derived from bulk collections made by Malaise traps, we further demonstrate that species delineation using BINs and operational taxonomic units (OTUs) constitutes an effective method for biodiversity studies using DNA metabarcoding. As the reference libraries continue to grow, and gaps in the species catalogue are filled, BIN lists assembled by metabarcoding will provide greater taxonomic resolution. The present study has three main goals: (a) to provide a DNA barcode library for 5,200 BINs of Diptera; (b) to demonstrate, based on the example of bulk extractions from a Malaise trap experiment, that DNA barcode clusters, labelled with globally unique identifiers (such as OTUs and/or BINs), provide a pragmatic, accurate solution to the "taxonomic impediment"; and (c) to demonstrate that interim names based on BINs and OTUs obtained through metabarcoding provide an effective method for studies on species-rich groups that are usually neglected in biodiversity research projects because of their unresolved taxonomy.
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