Gene disruption in Cryptococcus neoformans and Cryptococcus gattii by in vitro transposition
Bibliographic record
Abstract
Cryptococcus neoformans and Cryptococcus gattii are basidiomycetous fungi that infect immunocompromised and immunocompetent people. We developed an insertional mutagenesis strategy for these species based on in vitro transposition and we tested the method by disrupting the URA5 gene in a strain of C. neoformans and the CAP10 gene in three strains of C. gattii. We targeted plasmid DNA containing the URA5 gene or plasmid DNA containing the CAP10 gene from genomic libraries from the shotgun sequencing project for the C. gatti strain WM276. In the latter case, the availability of the end sequences of the clones from the assembled genomic sequence allows rapid selection of target genes for disruption. Modified transposons containing the nourseothricin (NAT) or neomycin (Neo) resistance cassettes were randomly inserted into the target DNA by in vitro transposition. The disrupted genes were used for biolistic transformation and homologous integration was subsequently confirmed by PCR and Southern blot analysis. These results demonstrate that the emerging genomic resources, combined with in vitro transposition into plasmid DNAs from shotgun sequencing libraries or cloned PCR products, will facilitate high-throughput genetic analysis in Cryptococcus species.
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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) | 0.001 | 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".