Percorrer por autor "Buddendorf, Bas"
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- Bio-Monitoring of environmental pollution using the citizen science approachPublication . Van der Steen, Jozef; Amaral, Joana S.; Baveco, Hans; Blanco Muñoz, Patricia; Brodschneider, Robert; Brusbardis, Valters; Buddendorf, Bas; Carreck, Norman L.; Danneels, Ellen; Charistos, Leonidas; Graaf, Dirk C. de; Díaz Galiano, Francisco José; Fernández-Alba, Amadeo R.; Ferrer-Amate, Carmen; Formato, Giovanni; Gómez Ramos, María José; Gratzer, Kristina; Gray, Alison; Hatjina, Fani; Henriques, Dora; Kasiotis, Konstantinos; Kilpinen, Ole; Lopes, Ana; Martínez Bueno, María Jesús; Murcia-Morales, María; Pietropaoli, Marco; Pinto, M. Alice; Quaresma, Andreia; Rufino, José; Roessink, Ivo; Vejsnæs, Flemming; Zafeiraki, EffrosyniHoneybee colonies are excellent bio-samplers of biological material such as nectar, pollen, and plant pathogens, as well as non-biological material such as pesticides or airborne contamination. The INSIGNIA-EU project aims to design and test an innovative, non-invasive, scientifically proven citizen science environmental monitoring protocol for the detection of pesticides, microplastics, heavy metals, and air pollutants by honey bee colonies http://insignia-eu.eu. In the pilot INSIGNIA project (2018-2021), a protocol was developed and tested for citizen-science-based monitoring of pesticides using honeybees. As part of the project, biweekly pollen was obtained from sentinel apiaries over a range of European countries and landscapes and analysed for botanical origin, using state-of-theart molecular techniques such as metabarcoding. An innovative non-biological matrix, the “APIStrip”, was also proved to be very efficient for detecting the residues of 273 agricultural pesticides and veterinary products, both authorized and unauthorized. The data collected are used to develop and test a spatial modelling system aimed at predicting the spatiallyexplicit environmental fate of pesticides and honeybee landscape-scale pollen foraging, with a common underlying geo-database containing European land-use and land-cover data (CORINE), the LUCAS database (landcover) supplemented with national data sets on agricultural and (semi-) natural habitats. After a call by the European Commission, a new 2 years project was granted aiming to present a comprehensive pan-European environmental pollution monitoring study with honey bees. Although pesticides used in agriculture, are a known hazard due to their biological activity, other pollutants, have even been recognized as such, for which we have not been aware of their impact for many years. An example is air pollution which increased while our societies industrialized and is currently regarded as the single largest environmental health risk in Europe (https://www.eea.europa.eu/). Unfortunately, other pollutants such as heavy metals, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, airborne particulate matter, and microplastics have also reached our environment. The outcome of this project will provide the first standardized EU-wide monitoring of all types of environmental pollutants with honey bee colonies. The project is funded by the EU, under the N° 09.200200/2021/864096/SER/ ENV.D.2 contract.
- Evaluating the consequences of plant protection products in the Western honey bee (Apis mellifera) genomePublication . Barbosa, Daniela; Li, Fernanda; Bashir, Sana; Yadró Garcia, Carlos A.; Taliadoros, Demetris; Webster, Matthew; Rufino, José; Roessink, Ivo; Buddendorf, Bas; van der Steen, Jozef; Murcia, Maria; Fernández-Alba, Amadeo Rodríguez; Pinto, M. Alice; Henriques, DoraThe Western honey bee (Apis mellifera)is a key model organism for evaluating risks from Plant Protection Products (PPPs). Despite well-documented impacts of PPPs on honey bees survival and behaviour, their molecular consequences remain underexplored. Herein, over 472 whole genomes from samples collected across Europe in the framework of the project Better-B were used to investigate the genetic basis of PPP exposure through Genomic-Environment Association (GEA) analysis. By integrating genomic data from honey bee colonies with processed PPP exposure data collected in the framework of the project INSIGNIAEU and from the PEST-CHEMGRIDS database as well as from environmental datasets from CORINE land cover, this study used SAMBADA (a spatial analysis tool) and Redundancy Analysis (RDA) scripts to identify candidate genes potentially linked to pesticide stress. This research addresses a knowledge gap, offering a pathway to mitigate PPPrelated molecular effects and support sustainable beekeeping, and can inform breeding programs to bolster honey bee resilience. Ultimately, this work advances our understanding of PPP impacts at the molecular level, fostering resilience in a key pollinator essential for global food security.
- Landscape-scale genomic responses of the western honey bee (Apis mellifera) to pesticide pressurePublication . Lima, Daniela; Li, Fernanda; Yadró Garcia, Carlos A.; Taliadoros, Demetris; Webster, Matthew; Rufino, José; Roessink, I.; Buddendorf, Bas; Van der Steen, Jozef; Murcia-Morales, María; Fernández-Alba, Amadeo R.; Graaf, Dirk C. de; Lopes, Ana Rita; Pinto, M. Alice; Henriques, DoraWidespread pesticide use associated with intensive agriculture has been proven to impact the Western honey bee (Apis mellifera). However, despite evidence of declines in survival, development, foraging efficiency, and overall colony health, the genomic underpinning of this abiotic stressor is largely unknown. This study involved 102 whole-genome sequences from honey bee colonies from across Europe, sampled under the Better-B project, to search for genetic correlations to pesticide exposure using Genomic-Environment Association (GEA) analyses. The environmental exposure data were collected within the framework of the INSIGNIA-EU project, which used APIStrips (in-hive pesticide-adsorbing strips) to quantify pesticide residues brought into the hive by foraging in many of the sampled colonies. The APISTRIP data were complemented by modelled exposure grids from PEST-CHEMGRIDS and agriculture zones from the CORINE Land Cover. Employing three complementary GEA approaches-SAMBADA (spatial analysis tool), LFMM (latent factor mixed models), and RDA (Redundancy Analysis)—we identified SNPs in the bee’s genome significantly correlated with agricultural pressure and pesticide use. Notably, several genes with known roles in detoxification and stress response, including venom carboxylesterase6 and CYP336A1, were highlighted. These variants point to molecular pathways targeted by agrochemical toxicity, offering insights into the consequences of pesticide use. Such findings may, in the future and upon further validation, help refine risk assessment frameworks, support the development of resilience-oriented breeding programs, and promote sustainable apicultural practices.