Engineering Rhodosporidium toruloides for sustainable production of value-added punicic acid from glucose and wood residues
Bibliographic record
Abstract
• Oleaginous yeast Rhodosporidium toruloides was engineered to produce punicic acid. • The engineered strain could use glucose as well as wood hydrolysate as feedstocks. • Coexpressing conjugase and desaturase led to 12% punicic acid content from glucose. • The engineered strain converted wood hydrolysate to 6.4% of lipids as punicic acid. • The highest punicic acid titer reached 451.6 mg/L under shake flask conditions. Rhodosporidium toruloides has emerged as a prominent candidate for producing single-cell oil from cost-effective feedstocks. In this study, the capability of R. toruloides to produce punicic acid (PuA), a representative plant unusual fatty acid, was investigated. The introduction of acyl lipid desaturase and conjugase (PgFADX) allowed R. toruloides to accumulate 3.7 % of total fatty acids as PuA. Delta-12 acyl lipid desaturase (PgFAD2) and diacylglycerol acyltransferase 2 were shown to benefit PuA production. The strain with PgFADX and PgFAD2 coexpression accumulated 12 % of its lipids as PuA from glucose, which translated into a PuA titer of 451.6 mg/L in shake flask condition. Utilizing wood hydrolysate as the feedstock, this strain produced 6.4 % PuA with a titer of 310 mg/L. Taken together, the results demonstrated that R. toruloides could serve as an ideal platform for the production of plant-derived high-value conjugated fatty acid using agricultural and forestry waste as feedstock.
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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".