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
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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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".