Catalysis of 5-methyltetrahydrofolate to MeFox facilitates folate biofortification in crops
Bibliographic record
Abstract
Abstract Folate deficiency is a global health problem. Biofortification has been considered a cost-effective means to tackle this problem. Here, we describe the genetic cloning and functional identification of a previously uncharacterised plant protein, designated as CTM, which functions as an enzyme in folate metabolism. Plant CTMs are capable of catalysing 5-methyl-tetrahydrofolate to MeFox, a pyrazino-s-triazine derivative of 4α-hydroxy-5-methyl-tetrahydrofolate. The natural asparagine-to-glycine substitution caused by an A-to-G single nucleotide variation in maize CTM enhances its enzymatic activity, as demonstrated by in vitro enzymatic assays and in silico analyses using a maize CTM structure model based on a monomeric sorghum CTM crystal. Loss of the CTM function led to accumulation of 5-methyl-tetrahydrofolate, and overexpression of the maize CTM carrying the G-allele boosted the metabolic flow towards MeFox, and showed no negative impacts on plant growth. Our results suggest that CTM, which has evolved 5-methyl-tetrahydrofolate-to-MeFox converting activity in plants, could be valuable for developing folate-biofortified crops to provide an alternative to the challenge presented by the global folate deficiency.
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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 | 0.000 | 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".