Bibliographic record
Abstract
Plant fungal endophytes are diverse microbial sources that reside inside plants. Grapes (Vitis vinifera) are rich in polyphenols that have beneficial health effects, and recent research has shown that fungal endophytes in grapes may contribute to the production of these polyphenols and may serve as biocontrol agents. In this study, we determined the fungal microbial endophyte diversity in North American table grapes found at a Winnipeg, Manitoba, market. The amplicon internal transcribed spacer (ITS) metagenomics approach was used to profile the fungal communities of the fruit endophyte microbiome of three table grape types. The data supported endophyte diversity in different table grapes, including possible bioactive, saprophytic, and pathogenic fungi. Culturable endophytes were isolated and identified by morphology and ITS amplicon sequencing. The majority of the isolated culturable strains included Alternaria spp. and Cladosporium spp. The results provided evidence of the existence of diverse fungal endophytes isolated and identified from the fruit of the table grapes. These fungal endophytes may have potential in agricultural, industrial, and pharmaceutical applications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".