Targeted silencing of exopolysaccharide biosynthesis genes via CRISPR/dCas9 to enhance polyhydroxybutyrate production from biodiesel-derived crude glycerol in Burkholderia sp.
Bibliographic record
Abstract
The newly isolated Burkholderia sp. SCN-KJ, which is capable of simultaneously producing intracellular polyhydroxybutyrate (PHB) and exopolysaccharide (EPS) from biodiesel-derived crude glycerol, presented a significant challenge in this study because of interference from EPS synthesis. The bceA gene, which encodes a bifunctional protein responsible for mannose-6-phosphate isomerization and the mannose-1-phosphate guanylyltransferase reaction, was identified as a key regulator of EPS production. To address this issue, CRISPR interference (CRISPRi) was employed to target the bceA gene, leading to the complete suppression of EPS synthesis and a significant improvement in PHB yield. Under optimized culture conditions, the ΔbceA mutant strain exhibited complete inhibition of EPS production, resulting in a 1.75-fold increase in the PHB concentration and PHB of a higher molecular weight than that of the wild-type Burkholderia sp. SCN-KJ. These results highlight the effectiveness of dCas9-mediated silencing of the bceA gene in overcoming the challenges posed by EPS interference and underscore its potential for increasing PHB production in Burkholderia sp. SCN-KJ.
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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 | 0.000 |
| 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".