ArticlePloS one2020
Sharpening the DNA barcoding tool through a posteriori taxonomic validation: The case of Longitarsus flea beetles (Coleoptera: Chrysomelidae).
Article in PloS one, 2020. 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.
- Contributions to the knowledge of Albanian Chrysomelidae (Coleoptera), with the redescription ofZooKeys · 2026Article
- A DNA Barcode Inventory of Austrian Dragonfly and Damselfly (Insecta: Odonata) Species.Insects · 2025Article
- Genetic Diversity and Distribution of Italian Cave Crickets (Animals : an open access journal from MDPI · 2025Article
- DNA-Barcoding for Cultivar Identification and Intraspecific Diversity Analysis of Agricultural Crops.International journal of molecular sciences · 2025Review
- Apennine-Pyrenees disjunct distribution: an unusual biogeographic pattern revealed in flea beetles of theCurrent zoology · 2024Article
- Past and current climate as a driver in shaping the distribution of the Longitarsus candidulus species group (Coleoptera: Chrysomelidae).Journal of insect science (Online) · 2024Article
- BOLD v4: A Centralized Bioinformatics Platform for DNA-Based Biodiversity Data.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Article
- DNA barcoding allows identification of undescribed crab megalopas from the open sea.Scientific reports · 2021Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The accuracy of the DNA barcoding tool depends on the existence of a comprehensive archived library of sequences reliably determined at species level by expert taxonomists. However, misidentifications are not infrequent, especially following large-scale DNA barcoding campaigns on diverse and taxonomically complex groups. In this study we used the species-rich flea beetle genus Longitarsus, that requires a high level of expertise for morphological species identification, as a case study to assess the accuracy of the DNA barcoding tool following several optimization procedures. We built a cox1 reference database of 1502 sequences representing 78 Longitarsus species, among which 117 sequences (32 species) were newly generated using a non-invasive DNA extraction method that allows keeping reference voucher specimens. Within this dataset we identified 69 taxonomic inconsistencies using barcoding gap analysis and tree topology methods. Threshold optimisation and a posteriori taxonomic revision based on newly generated reference sequences and metadata allowed resolving 44 sequences with ambiguous and incorrect identification and provided a significant improvement of the DNA barcoding accuracy and identification efficacy. Unresolved taxonomic uncertainties, due to overlapping intra- and inter-specific levels of divergences, mainly regards the Longitarsus pratensis species complex and polyphyletic groups L. melanocephalus, L. nigrofasciatus and L. erro. Such type of errors indicates either poorly established taxonomy or any biological processes that make mtDNA groups poorly predictive of species boundaries (e.g. recent speciation or interspecific hybridisation), thus providing directions for further integrative taxonomic and evolutionary studies. Overall, this study underlines the importance of reference vouchers and high-quality metadata associated to sequences in reference databases and corroborates, once again, the key role of taxonomists in any step of the DNA barcoding pipeline in order to generate and maintain a correct and functional reference library.
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