Effect of low temperature on stability of θ-type plasmids in<i>Carnobacterium maltaromaticum</i>
Bibliographic record
Abstract
The heterologous production of useful peptides such as bacteriocins by lactic acid bacteria (LAB) has been studied for use in the biopreservation of foods. Recombinant plasmids can suffer drawbacks such as segregational instability affecting the production of these peptides in certain environments such as absence of selective pressure or low temperature. The link between growth temperature characteristics of parental strains and stability of theta-type plasmids at a low temperature was investigated. The growth of four parental strains at 4 degrees C and stability of five derivative theta-type plasmids transformed into Carnobacterium maltaromaticum UAL26 at 25 and 4 degrees C were determined. Two plasmids (pCD11 and pCaT) derived from psychrotrophic LAB and plasmid, pHW800, from Enterococcus faecium 226 with unknown growth temperature characteristics, had excellent stability when strains were grown at 4 degrees C. Plasmids (pTRKH2 and pUCB820) derived from LAB that did not grow at refrigeration temperatures were not stable at 4 degrees C. When a DNA fragment from pCD11 containing 22-bp repeats, a putative replication initiation site, and the gene for the RepA protein was inserted into pTRKH2, the resulting derivative plasmid was 100% stable at 4 degrees C.
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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 | 0.001 |
| 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 | 0.001 | 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".