Grapevine fanleaf virus affects grape (Vitis vinifera) berry anthocyanin content via the transcriptional regulation of anthocyanin biosynthetic genes
Bibliographic record
Abstract
Grapevine fanleaf virus (GFLV) causes grapevine fanleaf degeneration, one of the oldest known viral diseases of grapevines. The virus has been found in all winegrowing regions around the world. In the seasons 2011-12 a comparison between field grown GFLV-infected and healthy grapevines was conducted for the cultivars Schioppettino in North-Eastern Italy and Refošk in South-Western Slovenia. Our research showed that GFLV infection caused a drop of the yield due to reduction of both cluster weight and berry weight. Besides the yield, the berry composition was also affected; in detail, anthocyanin concentration increased in both varieties but significantly only in the case of Schioppettino. Upregulation of the F3'5'H gene and downregulation of F3'H gene in the berries of GFLV infected vines compared with the ones of healthy control vines resulted in modified proportions between di- and tri- hydroxylated or methylated derivatives of anthocyanins. The F3H1 gene was identified to be the most strongly regulated gene of the flavonoid biosynthetic pathway by GFLV infection, indicating its important role in increasing anthocyanin concentration in grapes of GFLV infected vines as compared with healthy controls.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".