Molecular, Physiological, and Host-Range Characterization of <i>Acidovorax avenae</i> subsp. <i>citrulli</i> Isolates from Watermelon and Melon in Israel
Bibliographic record
Abstract
Bacterial fruit blotch (BFB), caused by Acidovorax avenae subsp. citrulli, is a serious disease of cucurbit plants. The first important occurrence of BFB in Israel was during 2000 to 2003 on watermelon and melon. Twelve bacterial isolates associated with these outbreaks were confirmed as A. avenae subsp. citrulli by pathogenicity assays, gas chromatography of fatty-acid methyl esters, and substrate-utilization profiles. The isolates were characterized in terms of their aggressiveness in different hosts by seed, seedling, and fruit inoculations, and according to their DNA fingerprinting profiles using pulse-field gel electrophoresis (PFGE) and repetitive-PCR approaches. Results from the present work agree with previous studies supporting the existence of two differentiated groups within A. avenae subsp. citrulli, one including strains that are more associated with watermelon (group II), the other consisting of strains that are usually associated with nonwatermelon cucurbits (group I). This study indicates that isolates from both groups have been introduced to Israel. PFGE analysis revealed that the 12 analyzed isolates can be divided into five different haplotypes, of which four were previously unreported. Additional differentiating features between group I and II strains are presented.
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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 | 0.000 |
| 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) | 0.000 | 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".