ArticleScientific reports2021
A DNA barcode-based survey of wild urban bees in the Loire Valley, France.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- CODABEILLES: a reliable reference library of COI DNA barcodes for French wild bees monitoring (Apoidea: Anthophila).BMC ecology and evolution · 2025Article
- New distribution records of wild bees (Hymenoptera, Apoidea) in South Tyrol (Italy): expanding the wild bee database.Biodiversity data journal · 2025Article
- Building a reliable 16S mini-barcode library of wild bees from Occitania, south-west of France.Biodiversity data journal · 2025Article
- Analysis of Whole-Genome as a Novel Strategy for Animal Species Identification.International journal of molecular sciences · 2024Article
- The genome sequence of Trimmer's Mining Bee,Wellcome open research · 2024Article
- The InBIO Barcoding Initiative Database: DNA barcodes of Iberian Bees.Biodiversity data journal · 2024Article
- Wild bees (Apoidea, Anthophila) of south-west France: more than 10 years of inventories in mosaic landscapes of "Vallées et Coteaux de Gascogne" (ZA-PYGAR).Biodiversity data journal · 2024Article
- Comparing modern identification methods for wild bees: Metabarcoding and image-based morphological taxonomic assignment.PloS one · 2024Article
- The value of twinned pollinator-pollen metabarcoding: bumblebee pollination service is weakly partitioned within a UK grassland community.Scientific reports · 2023Article
- Phylogenetic and Morphological Characteristics Reveal Cryptic Speciation in Stingless Bee,Insects · 2023Article
- Keeping Up with Insect Pollinators in Paris.Animals : an open access journal from MDPI · 2022Article
- Article
- A new primer pair for barcoding of bees (Hymenoptera: Anthophila) without amplifying the orthologous coxA gene of Wolbachia bacteria.BMC research notes · 2021Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current decline of wild bees puts important ecosystem services such as pollination at risk. Both inventory and monitoring programs are needed to understand the causes of wild bee decline. Effective insect monitoring relies on both mass-trapping methods coupled with rapid and accurate identifications. Identifying wild bees using only morphology can be challenging, in particular, specimens from mass-trapped samples which are often in poor condition. We generated DNA barcodes for 2931 specimens representing 157 species (156 named and one unnamed species) and 28 genera. Automated cluster delineation reveals 172 BINs (Barcodes Index Numbers). A total of 36 species (22.93%) were found in highly urbanized areas. The majority of specimens, representing 96.17% of the species barcoded form reciprocally exclusive groups, allowing their unambiguous identification. This includes several closely related species notoriously difficult to identify. A total of 137 species (87.26%) show a "one-to-one" match between a named species and the BIN assignment. Fourteen species (8.92%) show deep conspecific lineages with no apparent morphological differentiation. Only two species pairs shared the same BIN making their identification with DNA barcodes alone uncertain. Therefore, our DNA barcoding reference library allows reliable identification by non-experts for the vast majority of wild bee species in the Loire Valley.
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