Microsatellite analysis of environmental and clinical isolates of the opportunist fungal pathogen Aspergillus fumigatus
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microsatellite analysis was used to examine the genetic relatedness of 111 clinical and environmental isolates of the opportunist human pathogenic fungus Aspergillus fumigatus from Ontario, Canada. Forty-three A. fumigatus isolates were from clinical sources and 68 from environmental sources. Phylogenetic analysis of the genotypes revealed that there were no geographical or temporal associations of clinical or environmental genotypes. In fact, several of the environmental and clinical isolates showed identical (clonal) genotypes from disparate geographical areas. However, a locus by locus examination revealed that there were several significant differences in allele frequencies between clinical and environmental isolates. There may be linkage of certain microsatellite loci with genes affecting virulence in A. fumigatus. A susceptible individual may be equally predisposed to infection by any isolate of A. fumigatus. However, under transient selection as a pathogen, genes encoding alleles for enhanced virulence may not assort independently from microsatellite loci. A dynamic equilibrium may exist between random recombination of loci in the natural environment and selection for virulence factors during host infection cycles.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it