Pathogenicity and Lipid Composition of Mycelium of the Fungus Stagonospora cirsii VIZR 1.41 during Submerged Cultivation
Bibliographic record
Abstract
Abstract In order to identify qualitative markers of a potential mycoherbicide against Canada thistle based on the mycelium of the fungus Stagonospora cirsii VIZR 1.41, changes in its pathogenicity and lipid profiles during submerged cultivation on liquid sucrose-soybean medium were analyzed. The fatty-acid composition of major lipids and the identification of molecular species of structural lipids were determined. The lipid composition during fungal growth changed together with its pathogenicity. The highly pathogenic mycelium of the fungus (at the log phase of growth) was characterized with the relatively highest content of structural lipids: phosphatidylcholine (PC), phosphatidylethanolamine (PE), and ergosterol (ES). Their relative concentration decreased with culture age and a decrease in pathogenicity. The highest lipid yield was found at the beginning of stationary growth phase (at the maximal biomass yield) of S. cirsii; triacylglycerides (TAGs) were the most abundant. The double-bond index of fatty acids in glycerolipids decreased with culture age, and the substitution of molecular PC species (34:2 versus 36:4) and PE (36:4 versus 34:2) was observed as well. High levels of ES, TAG, PC (in particular, 34:2 forms) and PE (36:4 forms) were presumed to be qualitative markers of S. cirsii mycelium.
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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) | 0.001 | 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".