[Molecular and phenotypic characterization of a VGII genotype Cryptococcus gattii XH91 isolated in China].
Bibliographic record
Abstract
OBJECTIVE: To characterize the molecular and phenotypic traits of the VGII genotype of Cryptococcus gattii isolate XH91 firstly isolated in China. METHODS: The serotype was identified by molecular method; multi-locus sequence typing (MLST) was performed based on 16 gene fragments both of nuclear and mitochondria genomes; the abilities of haploid fruiting, same-sex mating and opposite sex mating were all evaluated; the phenotypic traits including melanin production, capsule size, and growth at 37 degrees C were characterized. RESULTS: The isolate XH91 firstly isolated in China was serotype B. The isolate shared the same MLST genotype with the minor outbreak genotype VGIIb from Vancouver islands. Strain XH91 could mate with the reference strain of opposite mating type and produced basidiospores, but could not mate with the reference strain of same mating type and had no ability of haploid fruiting. We did not observe obvious difference between XH91 and reference strains for melanin production, capsule size, and growth at 37 degrees C. CONCLUSION: Based on the results from MLST and phenotypic analysis, the Cryptococcus gattii strain XH91 is identical with the minor outbreak genotype VGIIb from Vancouver islands. This study will be critical to gain further insight into the emergence and molecular epidemiology of the VGII genotype of Cryptococcus gattii from China.
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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 | 0.001 |
| 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 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".