Serine proteases and metalloproteases associated with pathogenesis but not host specificity in the Entomophthoralean fungus <i>Zoophthora radicans</i>
Bibliographic record
Abstract
The protease activity of a Zoophthora radicans strain that was highly infective toward Pieris brassicae (cabbage butterfly) larvae was compared with that of isogenic strains that were adapted to Plutella xylostella (diamondback moth) larvae through serial passage. All strains produced three distinct serine proteases ranging in size from 25 to 37 kDa; however, the original strain from P. brassicae also produced large amounts of an approximately 46 kDa metalloprotease. Subsequently, a cDNA encoding a 43 kDa (mature enzyme) zinc-dependent metalloprotease, ZrMEP1, was isolated from the original fungal strain and most likely corresponds to the 46 kDa protease observed with in-gel assays. ZrMEP1 possessed characteristics of both the fungalysin and thermolysin metalloprotease families found in some pulmonary and dermal pathogens. This is the first report of this type of metalloprotease from an entomo pathogenic fungus. A cDNA encoding a trypsin-like serine protease, ZrSP1, was also identified and was most similar to a serine protease from the plant pathogen Verticillium dahliae. In artificial media, ZrMEP1 and ZrSP1 were found to be differentially responsive to gelatin and catabolite repression in the fungal strains adapted to P. brassicae and P. xylostella, but their expression patterns within infected larvae were the same. It appears that while these proteases likely play a role in the infection process, they may not be major host specificity determinants.
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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".