{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(1)"],"submitter":["Villalta I"],"pubmed_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 recip"],"journal":["Scientific reports"],"pagination":["4770"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7910470"],"repository":["biostudies-literature"],"pubmed_title":["A DNA barcode-based survey of wild urban bees in the Loire Valley, France."],"pmcid":["PMC7910470"],"pubmed_authors":["Cornillon M","Genoud D","Bouget C","Lopez-Vaamonde C","Baude M","Courtial B","Villalta I","Ledet R","Moreau S"],"additional_accession":[]},"is_claimable":false,"name":"A DNA barcode-based survey of wild urban bees in the Loire Valley, France.","description":"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 recip","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Feb","modification":"2026-07-16T01:25:33.048Z","creation":"2021-03-05T09:07:39Z"},"accession":"S-EPMC7910470","cross_references":{"pubmed":["33637824"],"doi":["10.1038/s41598-021-83631-0"]}}