Deletion of <i>hxk1</i> gene results in derepression of xylose utilization in <i>Scheffersomyces stipitis</i>
Bibliographic record
Abstract
A major problem in fermenting xylose in lignocellulosic substrates is the presence of glucose and mannose which inhibit xylose utilization. Previous studies showed that catabolite repression in some yeasts is associated with hexokinases and that deletion of one of these gene(s) could result in derepressed mutant strain(s). In this study, the hxk1 encoding hexokinase 1 in Scheffersomyces stipitis was disrupted. The ∆hxk1 SS6 strain retained the ability to utilize the main hexoses and pentoses commonly found in lignocellulosic hydrolysates as efficiently as the wild-type (WT) strain. SS6 also fermented the dominant sugars to ethanol; however, on xylose, the ∆hxk1 strain produced more xylitol and less ethanol than the WT. On mixed sugars, as expected the WT utilized glucose ahead of xylose and xylose utilization did not commence until all the glucose was consumed. In contrast, the ∆hxk1 mutant showed derepression in that it started to utilize xylose even when considerable glucose (about 1.72%, w/v) remained in the medium. Similarly, mannose did not repress xylose utilization by the ∆hxk1 mutant and xylose and mannose were simultaneously utilized. The results are of interest in efforts to engineer yeast strains capable of efficiently utilizing glucose and xylose simultaneously for lignocellulosic biomass conversion.
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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) | 0.000 | 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 | 0.001 |
| 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".