Folate Polyglutamylation Is Involved in Chromatin Silencing by Maintaining Global DNA Methylation and Histone H3K9 Dimethylation in Arabidopsis
Bibliographic record
Abstract
DNA methylation and repressive histone Histone3 Lysine9 (H3K9) dimethylation correlate with chromatin silencing in plants and mammals. To identify factors required for DNA methylation and H3K9 dimethylation, we screened for suppressors of the repressor of silencing1 (ros1) mutation, which causes silencing of the expression of the RD29A (RESPONSE TO DESSICATION 29A) promoter-driven luciferase transgene (RD29A-LUC) and the 35S promoter-driven NPTII (NEOMYCIN PHOSPHOTRANSFERASE II) transgene (35S-NPTII). We identified the folylpolyglutamate synthetase FPGS1 and the known factor DECREASED DNA METHYLATION1 (DDM1). The fpgs1 and ddm1 mutations release the silencing of both RD29A-LUC and 35S-NPTII. Genome-wide analysis indicated that the fpgs1 mutation reduces DNA methylation and releases chromatin silencing at a genome-wide scale. The effect of fpgs1 on chromatin silencing is correlated with reduced levels of DNA methylation and H3K9 dimethylation. Supplementation of fpgs1 mutants with 5-formyltetrahydrofolate, a stable form of folate, rescues the defects in DNA methylation, histone H3K9 dimethylation, and chromatin silencing. The competitive inhibitor of methyltransferases, S-adenosylhomocysteine, is markedly upregulated in fpgs1, by which fpgs1 reduces S-adenosylmethionine accessibility to methyltransferases and accordingly affects DNA and histone methylation. These results suggest that FPGS1-mediated folate polyglutamylation is required for DNA methylation and H3K9 dimethylation through its function in one-carbon metabolism. Our study makes an important contribution to understanding the complex interplay among metabolism, development, and epigenetic regulation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".