Novel endophytic fungal species Pithoascus kurdistanensis producing morphine compounds
Bibliographic record
Abstract
Papaver genus, commonly known as popies, is a valuable source of alkaloids used in medicine, including papaverine, morphine, codeine, and thebaine. We isolated six endophytic fungal isolates producing morphinan alkaloids from four Papaver species growing in Kurdistan Province, Iran. To do this, a 1:1 mixture of methanol and chloroform was used to extract fungal cultures. The contents of morphinan alkaloids in the extracts were subsequently determined using phase high-performance liquid chromatography. Among the morphinan alkaloid-producing fungal isolates, IRAN 4653C had the highest yield giving 23.06 (mg/g) morphine and 2.03 (mg/g) codeine when grown in potato dextrose liquid medium. The identity of this isolate was examined and recognized as a new fungal species named as Pithoascus kurdistanesis sp. nov. based on multi-gene phylogenetic analyses of ITS, TEF-1α, and TUB2 sequences data and morphological features. The morphinan-producing endophytic fungus and the isolated Pithoascus species from Papaver are being reported for the first time. Accordingly, this fungus shows promise as a new source of valuable compounds which is illustrated and introduced here as a new Microascaceae member belonging to Pithoascus from Kurdistan Province, Iran. Moreover, the morphinan productivity of P. kurdistanesis was further validated by gas chromatography-mass spectrometry (GC-MS).
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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 | 0.000 | 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".