Microbial Communities Associated with Storage Onion
Bibliographic record
Abstract
Onion (Allium cepa) bulb rot is an important pathological problem worldwide, as it is caused by diverse pathogens, bacterial and fungal. The diversity and structure of microbial communities associated with apparently healthy and diseased onion bulbs were analyzed. The community-based approach allowed identification of a number of potential pathogenic microorganisms associated with onion bulbs affected by disease under storage environments. Enterobacteriaceae, Burkholderia, Gluconobacter, Acinetobacter, Pseudomonas, Citrobacter, Nectriaceae, Botrytis, Wickerhamomyces, Penicillium, and Candida were the most relatively abundant bacterial and fungal taxa in the diseased onion bulb dataset. It was found that these taxa are also widely distributed in the bulbs without apparent disease symptoms. Additionally, several potential fermenters were detected in onion tissue. These data suggest that, in addition to abiotic factors, fermentation plays a role in the storage spoilage of onion bulbs. It was also shown that bacterial and fungal communities differ in their diversity and structure between individual onions affected by bulb rot. The identification of dinoflagellates Symbiodinium in onion bulbs suggested that this eukaryote might have a much broader spectrum of habitats and eukaryotic hosts.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".