Nucleotide excision repair and photoreactivation in the entomopathogenic fungi Beauveria bassiana, Beauveria brongniartii, Beauveria nivea, Metarhizium anisopliae, Paecilomyces farinosus and Verticillium lecanii
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIMS: To compare the DNA repair capabilities of the entomopathogenic fungus (EPF) bassiana to the EPF Beauveria brongniartii, Beauveria nivea, Metarhizium anisopliae, Paecilomyces farinosus, Verticillium lecanii, and the fungi Aspergillus niger and Neurospora crassa. METHODS AND RESULTS: Germination of B. bassiana conidiospores following ultraviolet (UV) irradiation was used to show that nucleotide excision repair and photoreactivation decrease the post-UV germination delay. These two modes of repair were characterized and compared between the aforementioned EPF, A. niger and N. crassa using a physiological assay where per cent survival post-UV irradiation was scored as colony forming units. CONCLUSIONS: The results showed B. bassiana and M. anisopliae are the most UV-tolerant EPF. The DNA repair capabilities indicated that EPF do not have all DNA repair options available to fungi, such as A. niger and N. crassa. SIGNIFICANCE AND IMPACT OF THE STUDY: A key factor detrimental to the survival of EPF in agro-ecosystems is UV light from solar radiation. The EPF literature pertaining to UV irradiation is varied with respect to methodology, UV source, and dose, which prevented comparisons. Here we have characterized the fungi by a standard method and established the repair capabilities of EPF under optimal conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it