Utility of a pre-optimized kit for random amplified polymorphic DNA in typing<i>Candida albicans</i>
Bibliographic record
Abstract
The utility of a pre-optimized kit for random amplified polymorphic DNA (RAPD) was assessed in typing diverse strains of Candida albicans from epidemiologically unrelated inpatients (interpatient analysis) and in detecting clonal variations that maybe present within individual patient isolates (intrapatient analysis). Stool samples from inpatients were cultured on Inhibitory Mold agar. Nine individual colonies from all patients with > or =9 colonies of C. albicans (n = 18) were selected, frozen, and karyotyped using CHEF genomic DNA plug kits and CHEF-DRIII. Each of the selected colonies was then analyzed by RAPD, utilizing the selected kit, with 6 primers. Interpatient analysis revealed 9 karyotypes and 17 RAPD composites. RAPD discrimination was significantly better (p < 0.001). Intrapatient analysis revealed 34 (21%) and 33 (20.4%) variants among 162 colonies tested by RAPD and karyotyping, respectively. The results were discordant in 25 variants, all with differences of 1-3 bands. These results illustrate that this pre-optimized kit for RAPD provides excellent discrimination of genetically unrelated strains. Its performance in delineating subtle clonal differences was comparable with karyotyping; both methods failed to detect all minor genetic variations. The ease of use and quick turnaround time of this kit offer a practical and reliable method for typing diverse strains of C. albicans, but may be inadequate for assessing microevolution.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".