Morphological and phylogenetic identification of <i>Botrytis sinoviticola</i> , a novel cryptic species causing gray mold disease of table grapes ( <i>Vitis vinifera</i> ) in China
Bibliographic record
Abstract
Seventy-five isolates of Botrytis collected from table grapes (Vitis vinifera) with gray mold symptoms in China were identified based on morpho-cultural characteristics on potato dextrose agar (20 C) and/or phylogenetic analysis using the sequences of three nuclear genes (G3PDH, HSP60, RPB2). Isolates of different species of Botrytis were compared with fenhexamid sensitivity, Bc-hch gene-RFLP haplotyping and pathogenicity to V. vinifera. The 75 isolates comprise two species, B. cinerea (63 isolates) and an undescribed Botrytis sp. (12 isolates) described here as Botrytis sinoviticola Zhang et al. sp., nov. Both B. sinoviticola (Bs) and B. cinerea (Bc) were found to have 20 C optimum for mycelial growth and 25 C for conidial germination. Sensitivity to fenhexamid was significantly greater (P < 0.05) for Bc (EC50 = 0.04 ± 0.01 μg mL(-1)) than for Bs (EC50 = 0.08 ± 0.02 μg mL(-1)). Digestion of the PCR amplicons of the Bc-hch gene with Hha I generated two haplotypes, Group I haplotype for Bs and Group II haplotype for Bc. Bs infected table grapes (leaves, berries) only through wounds, whereas Bc infected both injured and non-injured tissues of table grapes. This study suggests that Bs is a cryptic species sympatric with Bc on table grapes in China.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".