Adaptation of centromere to breakage through local genomic and epigenomic remodeling in wheat
Bibliographic record
Abstract
Centromeres, characterized by their unique chromatin attributes, are indispensable for safeguarding genomic stability. Due to their intricate and fragile nature, centromeres are susceptible to chromosomal rearrangements. However, the mechanisms preserving their functional integrity and supporting nuclear homeostasis following breakages remain enigmatic. In this study, we use wheat ditelosomic stocks, which arise from centromere breakage, to explore the genetic and epigenetic alterations in damaged centromeres. Our investigations suggest novel chromosome end structures marked by de novo addition of telomeres, as well as localized chromosomal shattering, including segment deletions and duplications near centromere breakpoints. We reveal that the damaged centromeres possess a remarkable capacity for self-regulation, through employing structural modifications such as expansion, contraction, and neocentromere formation to maintain their functional integrity. Centromere breakage triggers nucleosome remodeling and is accompanied by local transcription changes and chromatin reorganization, and subsequently may contribute to the stabilization of broken chromosomes. Our findings highlight the resilience and adaptability of plant chromosomes in response to centromere breakage and provide valuable insights into the stability of centromeres, thereby offering promising prospects to manipulate centromeres for targeted chromosomal innovation and crop genetic improvement.
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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".