Identification of the Neoaspergillic Acid Biosynthesis Gene Cluster by Establishing an <i>In Vitro</i> CRISPR-Ribonucleoprotein Genetic System in <i>Aspergillus melleus</i>
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Filamentous fungi are an essential source of bioactive mycotoxins. Recent efforts have focused on developing antifungal agents that are effective against invasive yeasts, such as Candida spp. By screening fungal strains isolated from regions surrounding the Chernobyl nuclear power plant disaster for antifungal activity against Candida albicans, we found that Aspergillus melleus IMV 01140 produced compounds that inhibited the growth of the yeast. The active compound produced by A. melleus was isolated and found to be neoaspergillic acid, a compound that is closely related to aspergillic acid. While aspergillic acid and its derivatives have been characterized and were found to have antibacterial and antifungal properties, neoaspergillic acid has been much less studied. Even though neoaspergillic acid and related compounds were found to have antibacterial and antitumoral effects, further investigation into this group of compounds is limited by challenges associated with large-scale production, isolation, and purification. The production of neoaspergillic acid has been shown to require co-cultivation methods or special growth conditions. In this work, neoaspergillic acid and related compounds were found to be produced by A. melleus under laboratory growth conditions. The biosynthetic gene cluster of neoaspergillic acid was predicted using the aspergillic acid gene cluster as a model. The biosynthetic pathway for neoaspergillic acid was then confirmed by establishing an in vitro CRISPR-ribonucleoprotein system to individually delete genes within the cluster. A negative transcriptional factor, mcrA, was also eliminated to further improve the production of neoaspergillic acid and the related compounds for future studies.
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How this classification was reachedexpand
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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".