The environment significantly impacts the lives of bees and their feeding. This study aimed to investigate bee foraging using melissopalynological analysis and DNA metabarcoding in intensive farming, reserved, and urbanized areas. The highest alpha diversity was observed in the reserved and intensive farming areas. The urbanized area had less diversity. In the intensive farming area, Sinapis, Helianthus, and Fagopyrum predominated; in the reserved area, Melilotus, Helianthus, and Brassica predominated. In the urbanized area, garden plants, namely radish (Raphanus sativus) and cucumber (Cucumis hystrix), and agricultural plants, namely soybean (Glycine max) and melon (Cucumis melo), were often found. The most significant agreement was between the rbcL and the melissopalynological analysis. The ITS2 revealed equal matches with both rbcL and melissopalynology, but this marker missed or underestimated some genera. Trifolium pretense and Brassica nigra were identified simultaneously by the melissopalinology method and two genetic markers in DNA metabarcoding. The species Convolvulus arvensis, Melilotus officinalis, Echium vulgare, Brassica rapa, Helianthus divaricatus, and Onobrychis viciifolia were found in all ecological areas. Imperfect databases impose some limits in the identification of some taxa using metabarcoding. The further research and expansion of plant databases is needed. Studying the food preferences of bees in different environmental conditions and landscapes is necessary to develop measures to preserve their populations.

Microplastics are an increasingly prevalent form of pollution in coastal ecosystems. Current research focuses on understanding the impacts of such synthetic particles on the health and functioning of aquatic organisms. Recent studies have shown that invertebrates can accumulate microplastics in their tissue, impacting key functions such as growth, reproduction, feeding activity, and metabolism. Owing to their chemical composition, microplastics accumulating in the digestive tract of animals may alter the diversity and abundance of microbiota. Despite the important implications of such microbiota shifts on digestive ability and fitness, investigations on microplastics as causative agents are so far limited. In this study, we tested the effect of microfibers, on the digestive gland microbiota of the blue mussel Mytilus edulis after a 52-day exposure. Our findings show that exposure to microplastics can alter the composition of the digestive gland microbiota, with significant decreases in the classes of Actinobacteria, Bacteroidia, and significant increases for Alphaproteobacteria and Gammaproteobacteria. Furthermore, an increase in the number of genera containing potential pathogenic species for bivalves, such as Francisella and Vibrio, was detected. This suggests that accumulated microplastics pose a dual threat to filter-feeding organisms and the ecosystem services they provide. Further comparative studies are necessary to establish whether the microbiota shift is linked to the specific chemical composition of microplastics or whether there is an indirect link such as physiological stress resulting from ingestion.

The environment significantly impacts the life of bees and their feeding. This study aimed to investigate bee foraging using melissopalynological analysis and DNA metabarcoding in ​​intensive farming, reserved, and urbanized areas. The highest alpha diversity was observed in the reserved and in the intensive farming areas. The urbanized area has less diversity. In the intensive farming area predominated: Sinapis, Helianthus, and Fagopyrum; in the reserved area: Melilotus, Helianthus, and Brassica. In the urbanized area garden plants: radish (Raphanus sativus) and cucumber (Cucumis hystrix) and agricultural plants: soybean (Glycine max) and melon (Cucumis melo) were often found. The most significant agreement was between the rbcL and the melissopalynological analysis. The ITS2 revealed equal matches with both rbcL and melissopalynology but this marker missed or underestimated some genera. Trifolium pretense and Brassica nigra, were identified simultaneously by three analyses. Species Convolvulus arvensis, Melilotus officinalis, Echium vulgare, Brassica rapa, Helianthus divaricatus, and Onobrychis viciifolia were found in all ecological areas. Imperfect databases put some limits for identification of some taxa using metabarcoding. Further research and expansion of plant databases is needed. Studying the food preferences of bees in different environmental conditions and landscapes is necessary to develop measures to preserve their population.