Estimating Broad-Sense Heritability Of The Gut Microbiome In Western Honey Bees (Apis Mellifera)
Bibliographic record
Abstract
The honey bee gut microbiome, crucial for bee health, may be shaped by both environmental and genetic factors. While differences in microbiomes exist between honey bee subspecies, it is unclear if genetic variation within a population influences this variation. This study estimated the broad-sense heritability of gut microbiome traits to explore patriline effects. We analyzed 500 workers from two colonies using 16S rRNA sequencing for microbiome characterization and genotyped them at 11 microsatellite loci. Results showed that patriline genetics marginally influenced the relative abundance of dominant microbiome taxa (18% to 24%) but did not significantly impact presence/absence of bacterial taxa or alpha and beta diversity. These findings suggest that environmental factors play a more substantial role in shaping the honey bee gut microbiome, indicating that microbiome-based interventions could benefit honey bees across populations.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".