The isocitrate dehydrogenase gene of oleaginous yeast <i>Lipomyces starkeyi</i> is linked to lipid accumulation
Bibliographic record
Abstract
The oleaginous yeast Lipomyces starkeyi can accumulate intracellular lipids to over 60% of its cell dry mass under a nitrogen-limited condition. We showed that extracellular and intracellular citrate concentrations of L. starkeyi AS 2.1560 increased and the nicotinamide adenine dinucleotide - isocitrate dehydrogenase (NAD+-IDH) activity decreased at the beginning of the lipid accumulation, suggesting that the attenuation of the NAD+-IDH activity might initiate lipid storage. We next cloned the IDH gene by the methods of degenerate PCR and rapid amplification of cDNA ends. Phylogenetic analyses of the evolutionary relationships among LsIDH1, LsIDH2, and other yeast NAD+-IDHs revealed that the L. starkeyi IDH had a closer relationship with the IDHs of Yarrowia lipolytica. Further real-time PCR analysis showed that the expression levels of both LsIDH1 and LsIDH2 decreased concurrently with the evolution of cellular lipids. Our data should be valuable for understanding the biology of oleaginous yeasts and for further strain engineering of L. starkeyi.
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 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".