Rapid differentiation of the closely related<i>Kluyveromyces lactis</i>var.<i>lactis</i>and<i>K. marxianus</i>strains isolated from dairy products using selective media and PCR/RFLP of the rDNA non transcribed spacer 2
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
PCR/RFLP of the NTS2 (IGS2) of rDNA was applied to differentiate two closely related yeast species, Kluyveromyces lactis var. lactis (referred to as K. lactis) and K. marxianus. Using specific primers, the NTS2 region was amplified from DNA of both K. lactis and K. marxianus type and collection strains. AluI restriction of amplified fragments generated patterns characteristic for each species. The NTS2 region from K. lactis var. drosophilarum and related species K. aestuarii, K. africanus, K. dobzhanskii, and K. wickerhamii could also be amplified with the same primers, but AluI patterns generated were clearly different. PCR/RFLP of the NTS2 appears thus to be a convenient method for rapid identification of K. lactis and K. marxianus, frequently found in dairy products. This test was validated therefore on K. lactis and K. marxianus from natural habitats. We showed that all yeast strains collected from whey samples and scoring blue on X-gal glucose plates were either K. lactis or K. marxianus. For application purposes, we propose here an approach for quickly screening for K. lactis/marxianus and Saccharomyces cerevisiae in dairy products using X-gal coloured and lysine growth media.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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 it