A Destructive Leaf Spot and Blight Caused by<i>Alternaria kareliniae</i>sp. nov. on a Sand-Stabilizing Plant, Caspian Sea Karelinia
Bibliographic record
Abstract
Leaf spots and stem lesions causing widespread mortality of Caspian Sea karelinia (Karelinia caspia) were observed in desert regions of Xinjiang Uyghur Autonomous Region, China. Fifteen samples were collected from five widely distributed counties of Tarim and Junggar Basins in 2016. The pathogen was identified using morphological observations and phylogenetic analyses based on combined partial sequences from seven genes (Alt a 1, ATPase, calmodulin, glyceraldehyde 3-phosphate dehydrogenase, internal transcribed spacer, RNA polymerase II, and translation elongation factor 1), and placed as a new species: Alternaria kareliniae sp. nov. in section Dianthicola. The fungus has a small conidium (24.3 to) 29.1 to 64.8 (to 75.8) by (9.3 to) 12.4 to 16.5 (to 21.7) μm with a long beak (130 to) 183.9 to 350.4 (to 378.2) μm, as well as four to eight transverse septa, which differs significantly from other species of Alternaria section Dianthicola. On potato carrot agar, it grew significantly more slowly than others of this section. Pathogenicity tests showed that the fungus could infect leaves and stems of K. caspia and cause the same symptoms as those observed in the field. The fungus was reisolated from inoculated leaves and stems of the host. The disease in desert regions appears to be increasing, and it may have future negative implications for desert ecology in these areas. Future research should concentrate on elucidating the disease cycle and disease management alternatives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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 teacher head, 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".