Global Analysis of Allele-Specific Expression in <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Gene expression is a complex trait determined by various genetic and nongenetic factors. Among the genetic factors, allelic difference may play a critical role in gene regulation. In this study we globally dissected cis (allelic) and trans sources of genetic variation in F(1) hybrids between two Arabidopsis thaliana wild accessions, Columbia (Col) and Vancouver (Van), using a new high-density SNP-tiling array. This array tiles the whole genome with 35-bp resolution and interrogates 250,000 SNPs identified from resequencing of 20 diverse A. thaliana strains. Quantitative assessment of 12,311 genes identified 3811 genes differentially expressed between parents, 1665 genes with allele-specific expression, and 1688 genes controlled by composite trans-regulatory variation. Loci with cis- or trans-regulatory variation were mapped onto sequence polymorphisms, epigenetic modifications, and transcriptional specificity. Genes regulated in cis tend to be located in polymorphic chromosomal regions, are preferentially associated with repressive epigenetic marks, and exhibit high tissue expression specificity. Genes that vary due to trans regulation reside in relatively conserved chromosome regions, show activating epigenetic marks and generally constitutive gene expression. Our findings demonstrate a method of global functional characterization of allele-specific expression and highlight that chromatin structure is intertwined with evolution of cis- and trans-regulatory variation.
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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".