Genome‐wide characterization of plant<scp>CTP</scp>:phosphocholine cytidylyltransferases through evolutionary, biochemical, and structural analyses
Bibliographic record
Abstract
Phosphatidylcholine has essential functions in many eukaryotic cells, and its de novo biosynthesis is rate-limited by cytidine triphosphate:phosphocholine cytidylyltransferase (CCT). Although the biological and biochemical functions of CCT have been reported in mammals and several plants, this key enzyme has yet to be examined at a genome-wide level. As such, certain fundamental questions remain unanswered, including the evolutionary history, genetic and functional relationships, and structural variations among CCTs in the green lineage. In the current study, in-depth phylogenetic analysis, as well as the conservation and diversification in CCT gene structure and motif patterns, indicated that CCTs exist broadly in chlorophytes, bryophytes, lycophytes, monilophytes, gymnosperms, early-diverging angiosperms, monocots, and eudicots, and form eight relatively conserved clades. To further explore the potential function of selection pressure, we conducted extensive selection pressure analysis with a representative CCT gene, CCT1 from the model plant Arabidopsis thaliana (AthCCT1), and identified two positive selection sites, L59 and Q156. Site-directed mutagenesis and in vitro enzyme assays demonstrated that these positively selected sites were indeed important for the activity and substrate affinity of AthCCT1, and subsequent 3D structure analyses explained the potential biochemical mechanism. Taken together, our results unraveled the evolution and diversity of CCTs in the green lineage, as well as their association with the enzyme's biochemical and structural properties, and expanded our understanding of this important enzyme at the genome-wide level.
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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 | 0.000 |
| 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) | 0.000 | 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 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".