ArticleInsects2022
Peering into the Darkness: DNA Barcoding Reveals Surprisingly High Diversity of Unknown Species of Diptera (Insecta) in Germany.
Article in Insects, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
30 citing papers in PubMed.
- Beyond conventional pollinators: advancing diversity assessments of neglected insect taxa.Annals of the Entomological Society of America · 2026Article
- Beyond the Black Box: Reproductive Strategies of the Black Soldier Fly as a Model for Bridging Evolutionary Biology and Applied Entomology.Evolutionary applications · 2026Review
- Unknown Germany - An integrative biodiversity discovery program.npj biodiversity · 2025Review
- Incorporating Neglected Insect Larvae in Species Inventories: DNA Barcoding as an Effective Tool for All-Stage Invertebrate Identification in Tree Holes.Ecology and evolution · 2025Article
- High-throughput biodiversity surveying sheds new light on the brightest of insect taxa.Proceedings. Biological sciences · 2025Article
- Species Delimitation and Cryptic Diversity inInsects · 2025Article
- Ambrosia gall midges (Diptera: Cecidomyiidae) and their microbial symbionts as a neglected model of fungus-farming evolution.FEMS microbiology reviews · 2025Review
- Megabarcoding dark taxa - Assessing the utility of mass DNA barcoding for phorid fly species discovery.PloS one · 2025Article
- Maximizing Identification Precision of Hymenoptera and Brachycera (Diptera) With a Non-Destructive DNA Metabarcoding Approach.Ecology and evolution · 2025Article
- 2-For-1 offer:Biodiversity data journal · 2025Article
- Upscaling biodiversity monitoring: Metabarcoding estimates 31,846 insect species from Malaise traps across Germany.Molecular ecology resources · 2025Article
- Taxonomic study of the genusZooKeys · 2025Article
- The discovery of an overseen pygmy backswimmer in Europe (Heteroptera, Nepomorpha, Pleidae).Scientific reports · 2024Article
- Delimiting species, revealing cryptic diversity, and population divergence in Qinghai-Tibet Plateau weevils through DNA barcoding.Ecology and evolution · 2024Article
- Delimiting species, revealing cryptic diversity in Molytinae (Coleoptera: Curculionidae) weevil through DNA barcoding.Journal of insect science (Online) · 2024Article
- Chironomidae (Diptera) of the Šventoji and Žeimena sub-basins in Lithuania.Biodiversity data journal · 2024Article
- Article
- Hymenopteran parasitoids reared from European gall midges (Diptera, Cecidomyiidae).Biodiversity data journal · 2024Article
- New faunistic data on Diptera (Hexapoda, Insecta) from the ZiaratBiodiversity data journal · 2024Article
- DNA barcodes provide insights into the diversity and biogeography of the non-biting midgeEcology and evolution · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Determining the size of the German insect fauna requires better knowledge of several megadiverse families of Diptera and Hymenoptera that are taxonomically challenging. This study takes the first step in assessing these "dark taxa" families and provides species estimates for four challenging groups of Diptera (Cecidomyiidae, Chironomidae, Phoridae, and Sciaridae). These estimates are based on more than 48,000 DNA barcodes (COI) from Diptera collected by Malaise traps that were deployed in southern Germany. We assessed the fraction of German species belonging to 11 fly families with well-studied taxonomy in these samples. The resultant ratios were then used to estimate the species richness of the four "dark taxa" families (DT families hereafter). Our results suggest a surprisingly high proportion of undetected biodiversity in a supposedly well-investigated country: at least 1800-2200 species await discovery in Germany in these four families. As this estimate is based on collections from one region of Germany, the species count will likely increase with expanded geographic sampling.
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