Genomic Analysis of Genes Involved in the Biosynthesis of Very Long Chain Polyunsaturated Fatty Acids in <i>Thraustochytrium</i> sp. 26185
Bibliographic record
Abstract
Thraustochytrium sp. 26185 is a marine protist that can produce a large amount of docosahexaenoic acid (DHA, 22:6n-3), an ω3 very long chain polyunsaturated fatty acid (VLCPUFA) of nutritional importance. However, the mechanism of how this fatty acid is synthesized and assembled into the storage lipid triacylglycerol is unclear. Here we report sequencing of the whole genome and genomic analysis of genes involved in the biosynthesis and assembly of the fatty acids in this species. Genome sequencing produced a total of 2,418,734,139 bp clean sequences with about 62 fold genome coverage. Annotation of the genome sequences revealed 10,797 coding genes. Among them, 10,216 genes could be assigned into 25 KOG classes where 451 genes were specifically assigned to the group of lipid transport and metabolism. Detailed analysis of these genes revealed co-existence of both aerobic pathway and anaerobic pathways for the biosynthesis of DHA in this species. However, in the aerobic pathway, a key gene encoding stearate Δ9 desaturase introducing the first double bond to long chain saturated fatty acid 18:0 was missing from the genome. Genomic survey of genes involved in the acyl trafficking among glycerolipids showed that, unlike plants, this protist did not possess phosphatidylcholine:diacylglycerol cholinephosphotransferase, an important enzyme in bridging two types of glycerolipids, diacylglycerols (DAG) and phosphatidylcholines (PtdCho). These results shed new insight on the biosynthesis and assembly of VLCPUFA in the Thraustochytrium.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".