Genome‐wide identification of pathogenicity, conidiation and colony sectorization genes in <i>Metarhizium robertsii</i>
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
Metarhizium robertsii occupies a wide array of ecological niches and has diverse lifestyle options (saprophyte, insect pathogen and plant symbiont), that renders it an unusually effective model for studying genetic mechanisms for fungal adaptation. Here over 20,000 M. robertsii T-DNA mutants were screened in order to elucidate genetic mechanism by which M. robertsii replicates and persists in diverse niches. About 287 conidiation, colony sectorization or pathogenicity loci, many of which have not been reported in other fungi were identified. By analysing a series of conidial pigmentation mutants, a new fungal pigmentation gene cluster, which contains Mr-Pks1, Mr-EthD and Mlac1 was identified. A conserved conidiation regulatory pathway containing Mr-BrlA, Mr-AbaA and Mr-WetA regulates expression of these pigmentation genes. During conidiation Mr-BlrA up-regulates Mr-AbaA, which in turn controls Mr-WetA. It was found that Hog1-MAPK regulates fungal conidiation by controlling the conidiation regulatory pathway, and that all three pigmentation genes exercise feedback regulation of conidiation. This work provided the foundation for deeper understanding of the genetic processes behind M. robertsii adaptive phenotypes, and advances our insights into conidiation and pigmentation in this fungus.
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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 | 0.000 | 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 it