Adaptive laboratory evolution (ALE) as a tool to ameliorate xylose consumption in Rhodosporidium toruloides-1588
Bibliographic record
Abstract
Rhodosporidium toruloides , an oleaginous yeast, is extensively studied for biofuel production due to its ability to accumulate lipids. However, its industrial application is constrained by its inefficiency in xylose uptake and utilization, particularly when cultivated on lignocellulosic hydrolysates, where xylose is the second most abundant sugar. To address this challenge, R. toruloides -1588 was evolved using Adaptive Laboratory Evolution (ALE) as a tool in minimal media with xylose as the sole carbon source to enhance its utilization. The evolved strain achieved 99 % xylose consumption by the 13th generation, with a 70 % increase in xylose uptake within 16 h compared to the native strain. When cultivated in yeast malt synthetic media, the adapted strain showed a 15 % increase in xylose consumption and a 23.40 % increase in lipid accumulation with a two-fold increase in oleic acid content (52.42 %). Further, in bench-scale-up studies (1L) using xylose-wood hydrolysate (C5-wood hydrolysate) as a culture media, the evolved strain showed a maximum lipid accumulation of 23.42 g/L at 156 h, representing an 18.35 % increase compared to the native strain (19.79 g/L) under the same conditions. These results highlighted the effectiveness of adaptive laboratory evolution in enhancing xylose uptake by R. toruloides- 1588. This led to an improved growth, sugar co-utilization, and lipid accumulation on complex substrates for sustainable biofuel production. • ALE achieved 99 % xylose utilization in R. toruloides -1588 by the 13th generation. • Lipid yield increased by 23 % at 100 g/L xylose concentration. • Oleic acid content in evolved R. toruloides was two times higher. • Cultivation in a bench-scale fermenter showed a 19 % increase in lipid accumulation.
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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 | 0.001 |
| 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".