Haplotype phased genome of ‘Fairchild’ mandarin highlights influence of local chromatin state on gene expression
Bibliographic record
Abstract
Abstract Background Cis-regulatory sequences control gene expression through the coordinated action of transcription factors and their associated partners. Both genetic and epigenetic perturbation of cis-regulatory sequences can lead to novel patterns of gene expression. Phased genome assemblies now enable the local dissection of linkages between cis-regulatory sequences, including their epigenetic state, and gene expression to further characterize gene regulation in heterozygous genomes. Results We assembled a locally phased genome for a mandarin hybrid named ‘Fairchild’ to explore the molecular signatures of allele-specific gene expression. With genome phasing, genes with allele-specific expression were paired with haplotype-specific chromatin states, including levels of chromatin accessibility, histone modifications, and DNA methylation. We found that 30% of variation in allele-specific expression could be attributed to haplotype associated factors, with allelic levels of chromatin accessibility and three histone modifications in gene bodies having the most influence. Structural variants in promoter regions were also associated with allele-specific expression, including specific enrichments of hAT and MULE-MuDR DNA transposon sequences. Mining of cis-regulatory sequences underlying regions with allelic variation in chromatin accessibility revealed a paternally-associated sequence motif bound by ERF48, a target of the Polycomb repressive complex 2 (PRC2), and sequence similarity of this motif corresponded to local levels of H3K27me3, a signature of PRC2 activity. Conclusions Using a locally phased assembly of a heterozygous citrus cultivar, we dissected the interplay between genetic variants and molecular phenotypes with the goal of revealing functional cis-regulatory sequences and exploring the evolution of gene regulation.
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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".