Pseudomonas dominates maple sap microbial communities over the maple sugaring season
Bibliographic record
Abstract
The microbial community of sugar maple (Acer saccharum) sap is highly influential on flavor, color, and texture of the resulting syrup produced. This microbial community has been studied previously in various locations in the United States and Canada at varying times during the sugaring season, with various microbes present at each site. To better understand how this microbial community changes over the sugaring season, we tapped a sugar maple tree in Middlebury, Vermont. From this tree, we collected and processed the maple sap, and performed metagenomic shotgun sequencing as well as whole genome sequencing from sap isolates. The microbial community increases in total microbial load as the sugaring season progresses but decreases in species richness, with Pseudomonas dominating the community over time. Due to its prevalence, we examined species of Pseudomonas present and relatedness between strains present over time. There are various Pseudomonas species present over the sugaring season with only some being closely related. Future research is needed to understand molecular mechanisms utilized by Pseudomonas and its interactions with other genera in the sap that may allow Pseudomonas to dominate the microbial community in the maple sap.
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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 | 0.000 | 0.001 |
| 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".