A reassessment of flocculosin-mediated biocontrol activity of Pseudozyma flocculosa through CRISPR/Cas9 gene editing
Bibliographic record
Abstract
Pseudozyma flocculosa is an epiphytic yeast with powerful antagonistic activity against powdery mildews. This activity has been associated with the production of a rare antifungal glycolipid, flocculosin. In spite of the discovery of a specific gene cluster for flocculosin synthesis, attempts to ascribe a functional role to the molecule have been hampered by the inability to efficiently transform P. flocculosa. In this study, two different approaches, target gene replacement by homologous recombination (HR) and CRISPR-Cas9 based genome-editing, were utilized to decipher the role of flocculosin in the biocontrol activity of P.flocculosa. It was possible to alter the production of flocculosin through edition of fat1 by HR, but such mutants displayed abnormal phenotypes and the inability to produce sporidia. Sequencing analyses revealed that transformation by HR led to multiple insertions in the genome explaining the pleiotrophic effects of the approach. On the other hand, CRISPR-Cas9 transformation yielded one mutant that was altered specifically in the proper synthesis of flocculosin. Notwithstanding the loss of flocculosin production, such mutant was phenotypically similar to the wild-type, and when tested for its biocontrol activity against powdery mildew, displayed the same efficacy. These results offer strong evidence that flocculosin-mediated antibiosis is not responsible for the mode of action of P. flocculosa and highlight the potential of CRISPR-Cas9 for functional studies of otherwise difficult-to-transform fungi such as P. flocculosa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".