Homeologue‐specific expression divergence in the recently formed tetraploid <i>Capsella bursa‐pastoris</i> (Brassicaceae)
Bibliographic record
Abstract
Following allopolyploid formation, extensive genome evolution occurs, with the eventual loss of many homeologous gene copies. Although this process of diploidization has occurred many times independently, the evolutionary forces determining the probability and rate of gene loss remain poorly understood. Here, we conduct genome and transcriptome sequencing in a broad sample of Chinese accessions of Capsella bursa-pastoris, a recently formed allotetraploid. Our whole genome data reveal three groups of these accessions: an Eastern group from low-altitude regions, a Western group from high-altitude regions, and a much more differentiated Northwestern group. Population differentiation in total expression was limited among closely related populations; by contrast, the relative expression of the two homeologous copies closely mirrors the genome-wide SNP divergence. Consistent with this, we observe a negative correlation between expression changes in the two homeologues. However, genes showing population genomic evidence for adaptive evolution do not show an enrichment for expression divergence between homeologues, providing no clear evidence for adaptive shifts in relative gene expression. Overall, these patterns suggest that neutral drift may contribute to the population differentiation in the expression of the homeologues, and drive eventual gene loss over longer periods of time.
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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) | 0.000 | 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 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".