Phytohormone and genome variations in <i>Vitis amurensis</i> resistant to downy mildew
Bibliographic record
Abstract
Downy mildew (DM) resistance is a highly desirable agronomic trait in grape breeding. High variation in Plasmopara viticola resistance was found in Vitis cultivars. Some accessions show high P. viticola resistance even under conditions highly conducive to DM. Here, leaf disc inoculation experiments revealed that Vitis amurensis 'Zuoshaner' exhibited DM resistance with necrotic spots, whereas the V. amurensis × V. vinifera hybrid cultivar 'Zuoyouhong' was susceptible. Changes in plant hormones accumulation profiles differed between the cultivars. To investigate the genetic mechanisms related to DM resistance, we performed genome-wide sequencing of 'Zuoshaner' and 'Zuoyouhong' and identified cultivar-specific single-nucleotide polymorphisms, insertions/deletions (indels), structural variations (SVs), and copy number variations (CNVs), identifying 5399 SVs and 191 CNVs specific for 'Zuoshaner'. Genes affected by these genetic variations were enriched in biological processes, including defense response and response to stress and stimulation, and were associated with sesquiterpenoid and triterpenoid biosynthesis, ABC transporters, and phenylalanine metabolism pathways. Additionally, indels and SVs were detected in six NBS-LRR disease resistance genes, and a CNV was mapped to the Rpv8 locus responsible for downy mildew resistance. These findings further our understanding of the genetic mechanisms underlying grape mildew resistance, and will facilitate genomic marker-assisted breeding for improved V. amurensis cultivars.
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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".