Pollen beebreads as a source of probiotics: a metagenomic and biochemical characterization
Bibliographic record
Abstract
Abstract BACKGROUND Pollen beebread, a fermented pollen stored in honeycombs, is a crucial food source for honey bees and holds promise as a nutraceutical for humans. This study investigated the nutritional composition, antioxidant properties, and microbiota of beebread derived from three major floral sources in Taiwan: rapeseed ( Brassica napus , Bn), beggartick ( Bidens pilosa var. radiata , Bp), and tea tree ( Camellia sinensis , Cs). RESULTS Beebread from different floral sources exhibited significant differences in protein content (up to ~140 mg bovine serum albumin equivalents (BSAE) g −1 in Bn beebread vs. ~105 mg BSAE g −1 in Bp and Cs beebread), phenolic content (up to ~30 mg gallic acid equivalents g −1 in Bn beebread), flavonoid content (up to ~45 mg quercetin equivalents g −1 in Bn beebread), and antioxidant activity (up to ~130 μmol Trolox equivalents g −1 in Bn beebread). A metagenomic analysis revealed distinct microbiota across samples, with differences in alpha diversity: Bn beebread exhibited higher species richness, whereas Cs beebread exhibited greater evenness. Firmicutes were the dominant phylum in Bn and Bp beebread (average relative abundances of 57.5% and 57.7%, respectively), whereas Proteobacteria predominated in Cs beebread (58.5%). Lactobacillus was the most abundant genus, with average relative abundances of 52.8% and 51.5%, respectively, in Bp and Bn beebread samples. CONCLUSION These findings highlight the influence of floral origin on the nutritional and microbial profiles of beebread and support its potential as a source of beneficial microbes and nutrients. © 2025 Society of Chemical Industry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".