Developmental microbiome of the small carpenter bee, <i>Ceratina calcarata</i>
Bibliographic record
Abstract
Abstract The importance of the holobiont has been studied across many bee species, but less is known about the changes in the microbiome throughout the course of development, particularly in subsocial bees. This study used 16S rRNA and ITS amplicon sequencing of pollen provisions and individuals of the small carpenter bee, Ceratina calcarata, across stages of development to characterize the composition and diversity of bacteria and fungi in the microbiome. Pollen provisions and larval stages showed similar beta diversity, but differences in taxa composition. There was no significant decrease in diversity during the transition between larval and pupal stages that was expected post defecation. However, there were unexpected and progressive declines in diversity as development progressed from the early to late pupal stages and again from the callow to adult stages. Bees across all stages lacked members of the Lactobacillus (now Apilactobacillus) genus, which has been shown in other studies to be part of the core bacterial community in C. calcarata and all bees. Three correlations between bacteria and fungi were found, suggesting common beneficial bacteria may protect the bees from prevalent fungal pathogens. Low alpha diversity, particularly in the later stages of development through adulthood, is concerning as the microbiome plays an important role in maintaining wild bee health.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".