Use of the 16S–23S ribosomal genes spacer region for the molecular typing of sphingomonads
Bibliographic record
Abstract
The ability of sphingomonads in drinking water to cause community- and hospital-acquired opportunistic infections has raised the need to establish reproducible identification assays. In this study, a total of 129 isolates recovered from drinking water with yellow- to orange-pigmented colonies were distributed among 10 biotypes on the basis of colony morphology. Polymorphisms, based on the amplification and restriction digestion of the intergenic transcribed spacer (ITS) region within the 10 assigned biotypes and 18 ATCC reference strains, were used to investigate the ability of this approach to differentiate closely related sphingomonads. ITS size, which ranged between 400 and 1100 bp, did not vary enough among the different genera. However, 16 distinct banding patterns within the ATCC reference strains and 9 within the 10 biotypes were obtained through ITS restriction digestion, and the majority of the tested biotypes produced patterns similar to those generated by the ATCC strains. To our knowledge, this study is not only the first comprehensive record of the size of the ITS region in sphingomonads, it is also the first study that describes the use of ITS restriction digestion to subtype those isolates.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".