A DNA barcode-based survey of wild urban bees in the Loire Valley, France

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 id...

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Autores principales:	Irene Villalta, Romain Ledet, Mathilde Baude, David Genoud, Christophe Bouget, Maxime Cornillon, Sébastien Moreau, Béatrice Courtial, Carlos Lopez-Vaamonde
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/325911ec8e6942c48fba6e9397faf75b
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spelling	oai:doaj.org-article:325911ec8e6942c48fba6e9397faf75b2021-12-02T13:20:01ZA DNA barcode-based survey of wild urban bees in the Loire Valley, France10.1038/s41598-021-83631-02045-2322https://doaj.org/article/325911ec8e6942c48fba6e9397faf75b2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83631-0https://doaj.org/toc/2045-2322Abstract 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.Irene VillaltaRomain LedetMathilde BaudeDavid GenoudChristophe BougetMaxime CornillonSébastien MoreauBéatrice CourtialCarlos Lopez-VaamondeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Irene Villalta Romain Ledet Mathilde Baude David Genoud Christophe Bouget Maxime Cornillon Sébastien Moreau Béatrice Courtial Carlos Lopez-Vaamonde A DNA barcode-based survey of wild urban bees in the Loire Valley, France
description	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.
format	article
author	Irene Villalta Romain Ledet Mathilde Baude David Genoud Christophe Bouget Maxime Cornillon Sébastien Moreau Béatrice Courtial Carlos Lopez-Vaamonde
author_facet	Irene Villalta Romain Ledet Mathilde Baude David Genoud Christophe Bouget Maxime Cornillon Sébastien Moreau Béatrice Courtial Carlos Lopez-Vaamonde
author_sort	Irene Villalta
title	A DNA barcode-based survey of wild urban bees in the Loire Valley, France
title_short	A DNA barcode-based survey of wild urban bees in the Loire Valley, France
title_full	A DNA barcode-based survey of wild urban bees in the Loire Valley, France
title_fullStr	A DNA barcode-based survey of wild urban bees in the Loire Valley, France
title_full_unstemmed	A DNA barcode-based survey of wild urban bees in the Loire Valley, France
title_sort	dna barcode-based survey of wild urban bees in the loire valley, france
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/325911ec8e6942c48fba6e9397faf75b
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A DNA barcode-based survey of wild urban bees in the Loire Valley, France

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