Diversity of plant pollen sources, microbial communities, and phenolic compounds present in bee pollen and bee bread.
Massimo IorizzoGianluca AlbaneseFrancesco LetiziaBruno TestaDalila Di CriscioSonia PetrarcaCatello Di MartinoSonia GanassiPasquale AvinoGianfranco PannellaZeineb AturkiCosimo TedinoAntonio De CristofaroPublished in: Environmental science and pollution research international (2024)
The pollination of several crops, as well as wild plants, depends on honeybees. To get the nutrients required for growth and survival, honeybee colonies are dependent on pollen supply. Bee pollen (BP) is partially packed in honeycomb cells and processed into beebread (BB) by microbial metabolism. The composition of pollen is highly variable and is mainly dependent on ecological habitat, geographical origin, honey plants, climatic conditions, and seasonal variations. Although there are important differences between the BP and the BB, little comparative chemical and microbiological data on this topic exists in the literature, particularly for samples with the same origin. In this study, BP and BB pollen samples were collected from two apiaries located in the Campania and Molise regions of Southern Italy. Phenolic profiles were detected via HPLC, while antioxidant activity was determined by ABTS ·+ and DPPH · assay. The next-generation sequencing (NGS) based on RNA analysis of 16S (rRNA) and internal transcribed spacer (ITS2) regions were used to investigate the microbial community (bacteria and fungi) and botanical origin of the BP and BB. Chemical analysis showed a higher content of flavonols in BP (rutin, myricetin, quercetin, and kaempferol), while in BB there was a higher content of phenolic acids. The NGS analysis revealed that the microbial communities and pollen sources are dependent on the geographical location of apiaries. In addition, diversity was highlighted between the microbial communities present in the BP and BB samples collected from each apiary.
Keyphrases
- microbial community
- growth factor
- recombinant human
- climate change
- systematic review
- induced apoptosis
- ms ms
- high throughput
- electronic health record
- gene expression
- signaling pathway
- heavy metals
- genome wide
- endoplasmic reticulum stress
- deep learning
- simultaneous determination
- free survival
- antibiotic resistance genes
- data analysis
- human health