Implication of a regulator of G protein signalling (BbRGS1) in conidiation and conidial thermotolerance of the insect pathogenic fungus<i>Beauveria bassiana</i>
Bibliographic record
Abstract
Beauveria bassiana is an insect pathogenic fungus widely used as a biocontrol agent to infect and control insect pests. The conidium initiates pathogenesis and mediates disease transmission, however, little is known about genetic elements that control conidiation. Here, the cloning and characterization of a regulatory G protein-signalling (RGS) gene Bbrgs1 from B. bassiana is reported. Phylogenetic analysis showed that BbRGS1 was orthologous to the RGS protein, FlbA from Aspergillus nidulans. The disruption of Bbrgs1 resulted in significantly reduced conidial production on agar plates or from infected insects. The DeltaBbrgs1 conidia also demonstrated reduced thermotolerance and conidial viability but germinated significantly faster than the wild type. Although hydrophobins have been implicated in conidial thermal sensitivity, the amount of hydrophobin on the conidial surface and the level of transcription of the hydrophobin-like protein gene hl were unaltered. Virulence toward insects was similar to that of the wild-type or reverse complementation transformants, and the mRNA levels of virulence factor genes for chitinase (Bbchit) and subtilisin-like protease (cdep1), were unchanged in DeltaBbrgs1. Characterization of a single RGS gene Bbrgs1 of B. bassiana suggests that it functions differently than RGS proteins in other fungi. However, there may be additional RGS proteins and signalling pathways that control colony development in B. bassiana.
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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".