Characterization of Genes Involved in the Metabolism of α-Galactosides by <i>Lactococcus raffinolactis</i>
Bibliographic record
Abstract
Lactococcus raffinolactis, unlike most lactococci, is able to ferment alpha-galactosides, such as melibiose and raffinose. More than 12 kb of chromosomal DNA from L. raffinolactis ATCC 43920 was sequenced, including the alpha-galactosidase gene and genes involved in the Leloir pathway of galactose metabolism. These genes are organized into an operon containing aga (alpha-galactosidase), galK (galactokinase), and galT (galactose 1-phosphate uridylyltransferase). Northern blotting experiments revealed that this operon was induced by galactosides, such as lactose, melibiose, raffinose, and, to a lesser extent, galactose. Similarly, alpha-galactosidase activity was higher in lactose-, melibiose-, and raffinose-grown cells than in galactose-grown cells. No alpha-galactosidase activity was detected in glucose-grown cells. The expression of the aga-galKT operon was modulated by a regulator encoded by the upstream gene galR. The product of galR belongs to the LacI/GalR family of transcriptional regulators. In L. lactis, L. raffinolactis GalR acted as a repressor of aga and lowered the enzyme activity by more than 20-fold. We suggest that the expression of the aga operon in lactococci is negatively controlled by GalR and induced by a metabolite derived from the metabolism of galactosides.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".