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Askri D, Pottier M, Arafah K, Voisin SN, Hodge S, Stout JC, Dominik C, Schweiger O, Tamburini G, Pereira-Peixoto MH, Klein AM, López VM, De la Rúa P, Cini E, Potts SG, Schwarz JM, Knauer AC, Albrecht M, Raimets R, Karise R, di Prisco G, Ivarsson K, Svensson GP, Ronsevych O, Knapp JL, Rundlöf M, Onorati P, de Miranda JR, Bocquet M, Bulet P. A blood test to monitor bee health across a European network of agricultural sites of different land-use by MALDI BeeTyping mass spectrometry. Sci Total Environ 2024; 929:172239. [PMID: 38583620 DOI: 10.1016/j.scitotenv.2024.172239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/09/2024]
Abstract
There are substantial concerns about impaired honey bee health and colony losses due to several poorly understood factors. We used MALDI profiling (MALDI BeeTyping®) analysis to investigate how some environmental and management factors under field conditions across Europe affected the honey bee haemolymph peptidome (all peptides in the circulatory fluid), as a profile of molecular markers representing the immune status of Apis mellifera. Honey bees were exposed to a range of environmental stressors in 128 agricultural sites across eight European countries in four biogeographic zones, with each country contributing eight sites each for two different cropping systems: oilseed rape (OSR) and apple (APP). The full haemolymph peptide profiles, including the presence and levels of three key immunity markers, namely the antimicrobial peptides (AMPs) Apidaecin, Abaecin and Defensin-1, allowed the honey bee responses to environmental variables to be discriminated by country, crop type and site. When considering just the AMPs, it was not possible to distinguish between countries by the prevalence of each AMP in the samples. However, it was possible to discriminate between countries on the amounts of the AMPs, with the Swedish samples in particular expressing high amounts of all AMPs. A machine learning model was developed to discriminate the haemolymphs of bees from APP and OSR sites. The model was 90.6 % accurate in identifying the crop type from the samples used to build the model. Overall, MALDI BeeTyping® of bee haemolymph represents a promising and cost-effective "blood test" for simultaneously monitoring dozens of peptide markers affected by environmental stressors at the landscape scale, thus providing policymakers with new diagnostic and regulatory tools for monitoring bee health.
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Affiliation(s)
- Dalel Askri
- Platform BioPark Archamps, Archamps, France.
| | | | | | | | - Simon Hodge
- School of Natural Sciences, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Jane C Stout
- School of Natural Sciences, Trinity College Dublin, D02 PN40 Dublin, Ireland
| | - Christophe Dominik
- Helmholtz Centre for Environmental Research - UFZ, Dep. Community Ecology, Theodor-Lieser-Strasse 4, 06120 Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Oliver Schweiger
- Helmholtz Centre for Environmental Research - UFZ, Dep. Community Ecology, Theodor-Lieser-Strasse 4, 06120 Halle, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Puschstraße 4, 04103 Leipzig, Germany
| | - Giovanni Tamburini
- Nature Conservation and Landscape Ecology, University of Freiburg, 79106 Freiburg, Germany
| | | | - Alexandra-Maria Klein
- Nature Conservation and Landscape Ecology, University of Freiburg, 79106 Freiburg, Germany
| | - Vicente Martínez López
- Department of Zoology and Physical Anthropology, Faculty of Veterinary, University of Murcia, 30100 Murcia, Spain
| | - Pilar De la Rúa
- Department of Zoology and Physical Anthropology, Faculty of Veterinary, University of Murcia, 30100 Murcia, Spain
| | - Elena Cini
- Centre for Agri-Environmental Research, School of Agriculture, Policy and Development, Reading University, RG6 6AR, UK
| | - Simon G Potts
- Centre for Agri-Environmental Research, School of Agriculture, Policy and Development, Reading University, RG6 6AR, UK
| | - Janine M Schwarz
- Agroecology and Environment, Agroscope, Reckenholzstrasse 191, 8046 Zurich, Switzerland
| | - Anina C Knauer
- Agroecology and Environment, Agroscope, Reckenholzstrasse 191, 8046 Zurich, Switzerland
| | - Matthias Albrecht
- Agroecology and Environment, Agroscope, Reckenholzstrasse 191, 8046 Zurich, Switzerland
| | - Risto Raimets
- Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences, Kreutzwaldi 5, Tartu 51006, Estonia
| | - Reet Karise
- Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences, Kreutzwaldi 5, Tartu 51006, Estonia
| | - Gennaro di Prisco
- CREA Research Centre for Agriculture and Environment, 40128 Bologna, Italy; Institute for Sustainable Plant Protection, The Italian National Research Council, Napoli, Italy
| | - Kjell Ivarsson
- Federation of Swedish Farmers (LRF), 105 33 Stockholm, Sweden
| | | | | | | | - Maj Rundlöf
- Department of Biology, Lund University, 223 62 Lund, Sweden
| | - Piero Onorati
- Department of Ecology, Swedish University of Agricultural Sciences, 756 51 Uppsala, Sweden
| | - Joachim R de Miranda
- Department of Ecology, Swedish University of Agricultural Sciences, 756 51 Uppsala, Sweden
| | | | - Philippe Bulet
- CR, University Grenoble Alpes, IAB INSERM 1209, CNRS UMR5309, Grenoble, France
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