Differences in Pathogenicity between two Genetically Distinct Groups of <i>Acidovorax avenae</i> subsp. <i>citrulli</i> on Cucurbit Hosts
Bibliographic record
Abstract
Abstract Using DNA fingerprinting by pulse‐field gel electrophoresis and repetitive extragenic pallindromic (REP)‐polymerase chain reaction (PCR), two distinct groups were confirmed among 64 Acidovorax avenae subsp. citrulli strains collected from a range of cucurbitaceous hosts in the USA, China, Taiwan, Thailand, Canada, Australia, Brazil and Israel. Eighty‐two percent of the group I strains were recovered from non‐watermelon hosts and the subspecies type strain was the only member of this group that utilized l‐leucine as a sole carbon source. On the contrary, 94% of the group II strains were recovered from watermelon and 96% of them utilized l‐leucine. Two‐week‐old watermelon cv. Crimson sweet, cantaloupe cv. Athena, pumpkin cv. Lumina and squash cv. Early yellow crookneck seedlings were susceptible to A. avenae subsp. citrulli strains representing each group with the exception of the subspecies type strain. Overall, seedlings of watermelon cv. Crimson Sweet were most susceptible to A. avenae subsp. citrulli infection followed by cantaloupe, pumpkin and squash. Group II strains were more aggressive watermelon than on other hosts. On the contrary, group I strains were moderately aggressive on all cucurbit hosts tested.
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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) | 0.001 | 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".