Using ITS2 metabarcoding and microscopy to analyse shifts in pollen diets of honey bees and bumble bees along a mass-flowering crop gradient.

comparison next-generation sequencing oilseed rape pollen analyses strawberry pollination

Journal

Molecular ecology
ISSN: 1365-294X
Titre abrégé: Mol Ecol
Pays: England
ID NLM: 9214478

Informations de publication

Date de publication:
12 2020
Historique:
received: 05 09 2019
revised: 12 09 2020
accepted: 18 09 2020
pubmed: 9 10 2020
medline: 22 6 2021
entrez: 8 10 2020
Statut: ppublish

Résumé

Worldwide pollinator declines lead to pollination deficits in crops and wild plants, and managed bees are frequently used to meet the increasing demand for pollination. However, their foraging can be affected by flower availability and colony size. We investigated how mass-flowering oilseed rape (OSR) can influence the pollen resource use of small and large honey bee (Apis mellifera L.) and bumble bee (Bombus terrestris L.) colonies. Colonies were placed adjacent to strawberry fields along a gradient of OSR availability in the landscapes. We used ITS2 metabarcoding to identify the pollen richness based on ITS2 amplicon sequencing and microscopy for quantification of target pollen. Bumble bees collected pollen from more different plant genera than honey bees. In both species, strawberry pollen collection decreased with high OSR availability but was facilitated by increasing strawberry flower cover. Colony size had no effect. The relationship between next-generation sequencing-generated ITS2 amplicon reads and microscopic pollen counts was positive but pollen type-specific. Bumble bees and, to a lesser degree, honey bees collected pollen from a wide variety of plants. Therefore, in order to support pollinators and associated pollination services, future conservation schemes should sustain and promote pollen plant richness in agricultural landscapes. Both bee species responded to the availability of flower resources in the landscape. Although honey bees collected slightly more strawberry pollen than bumble bees, both can be considered as crop pollinators. Metabarcoding could provide similar quantitative information to microscopy, taking into account the pollen types, but there remains high potential to improve the methodological weaknesses.

Identifiants

pubmed: 33030785
doi: 10.1111/mec.15675
doi:

Banques de données

figshare
['10.6084/m9.figshare.12777401.v3']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5003-5018

Informations de copyright

© 2020 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.

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Auteurs

Svenja Bänsch (S)

Functional Agrobiodiversity, Department of Crop Sciences, University of Göttingen, Göttingen, Germany.
Agroecology, Department of Crop Sciences, University of Göttingen, Göttingen, Germany.

Teja Tscharntke (T)

Agroecology, Department of Crop Sciences, University of Göttingen, Göttingen, Germany.

Röbbe Wünschiers (R)

Department of Biotechnology and Chemistry, Mittweida University of Applied Sciences, Mittweida, Germany.

Leonie Netter (L)

Agroecology, Department of Crop Sciences, University of Göttingen, Göttingen, Germany.

Bertram Brenig (B)

Institute of Veterinary Medicine, University of Göttingen, Göttingen, Germany.

Doreen Gabriel (D)

Federal Research Centre for Cultivated Plants, Institute of Crop and Soil Science, Julius Kühn-Institut (JKI), Braunschweig, Germany.

Catrin Westphal (C)

Functional Agrobiodiversity, Department of Crop Sciences, University of Göttingen, Göttingen, Germany.

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