Identification and Bioinformatics Analysis on Phosphatidylcholine Diglyceride Choline Phosphotransferase Family Genes in Plants
Bibliographic record
Abstract
Phosphatidylcholine diglyceride choline phosphotransferase (PDCT) is involved in the synthesis of seed triglyceride (TAG) in plant, catalyzing the transfer between phosphatidylcholine (PC) and diacylglycerol (DAG), and the loss of the PDCT activity reduces significantly the accumulation of seed polyunsaturated fatty acids (PUFAs). In this study, taking advantage of public available genomes of six oil crops (peanut, rape, soybean, cotton, sesame and sunflower), two staple food crops (rice and maize) and one aquatic plant (Chinese lotus), we identified in total 20 PDCT orthologues using bioinformatics, and further investigated into physical and protein chemical property, chromosome distribution, phylogenetic evolution, gene structure and promoter sequence. Our results showed that the PDCT family members have conserved domains and gene structures, as well as stable protein properties and structures, implying certain evolutionary conservation among them. In addition, copy numbers of PDCT were significantly different in tested plant species, while crop plants and Arabidopsis had one single copy, oil crops almost have at least 2 copies. Furthermore, the existence of many transcription core promoter elements and photo-response cis-acting elements in the promoter regions of these identified PDCT genes indicated that the expression of PDCT genes is likely affected by multiple developmental and environmental stress signals. In sum, this study provided a bioinformatics reference for further study on the potential application of PDCT family genes in crop breeding.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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".