Depositing centromere repeats induces heritable intragenic heterochromatin establishment and spreading in <i>Arabidopsis</i>
Bibliographic record
Abstract
Stable transmission of non-DNA-sequence-based epigenetic information contributes to heritable phenotypic variants and thus to biological diversity. While studies on spontaneous natural epigenome variants have revealed an association of epialleles with a wide range of biological traits in both plants and animals, the function, transmission mechanism, and stability of an epiallele over generations in a locus-specific manner remain poorly investigated. Here, we invented a DNA sequence deposition strategy to generate a locus-specific epiallele by depositing CEN180 satellite repeats into a euchromatic target locus in Arabidopsis. Using CRISPR/Cas9-mediated knock-in system, we demonstrated that depositing CEN180 repeats can induce heterochromatin nucleation accompanied by DNA methylation, H3K9me2, and changes in the nucleosome occupancy at the insertion sites. Interestingly, both DNA methylation and H3K9me2 are restricted within the depositing sites and depletion of an H3K9me2 demethylase IBM1 enables the outward heterochromatin propagation into the neighboring regions, leading to inheritable target gene silencing to persist for at least five generations. Together, these results demonstrate the promise of employing a cis-engineering system for the creation of stable and site-specific epialleles and provide important insights into functional epigenome studies and locus-specific transgenerational epigenetic inheritance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".