Isolation and identification of <i>Colletotrichum truncatum</i> causing anthracnose disease of the Chinese medicinal herb <i>Cynanchum paniculatum</i>
Bibliographic record
Abstract
Cynanchum paniculatum is a valuable medicinal herb used for the effective treatment of various human ailments. A severe anthracnose disease of C. paniculatum was recently observed in Tai’an, China, which caused considerable economic losses in this main herb-growing region of northern China. Infected plants had conspicuous symptoms consisting of circular brown lesions on the leaves and pods, as well as light brown cankers with dark spines on the stem surface. Fungi were isolated from diseased plant tissues, which exhibited radial colony morphology with dense white mycelial growth on potato dextrose agar. Through morphological observation and multigene sequencing analysis of the ITS region and actin, β-tubulin and histone genes, the isolated fungi were identified as Colletotrichum truncatum. Pathogenicity tests were conducted resulting in symptoms on C. paniculatum similar to those seen in the field. Considering the fungal species in the genus Colletotrichum are major phytopathogens that can cause serious anthracnose diseases on numerous crop species, the pathogenicity of an isolate of C. truncatum was assessed on multiple plant species. This is the first report of C. truncatum causing anthracnose of the Chinese medicinal herb C. paniculatum.
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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".