Allopolyploidization events and immense paleogenome reshuffling underlying the diversification of plants and secondary metabolites in Oleaceae
Bibliographic record
Abstract
Abstract Oleaceae, a eudicot family with great species diversity, has attracted much attention from botanists because it contains many plants with important economic, medicinal, and ornamental values. However, the history of polyploidization and ancestral genome reshuffling of Oleaceae remains unclear. Here, we clarified an Oleaceae‐common hexaploidization (OCH) event occurring at ~53–61 million years ago (Ma) common in all Oleaceae plants and an Oleaceae‐recent tetraploidization (ORT) event occurring at ~18–21 Ma shared by the lineages of Syringa , Olea , Osmanthus , and Fraxinus . We found that high‐frequency polyploidization events drove the frequency of gene loss in Oleaceae genomes and extended the size of regions containing adjacent gene loss, thereby promoting the degree of genome fragmentation. We revealed that biased fractionation between the OCH‐ and ORT‐produced subgenomes is likely attributed to the origin of allopolyploidization in the OCH and ORT events. Significantly, through paleochromosome rearrangement comparisons, we proposed a "two‐step" genome duplication model for OCH and determined the duplicated orders of OCH tripled genome. We reconstructed 11 protochromosomes of the most recent ancestral Oleaceae karyotype (AOK) and elucidated the trajectories of immense paleochromosome reorganization of Oleaceae species from ancestral eudicot karyotype. Notably, we tracked the diversification history of secondary metabolite synthesis genes in the Oleaceae and explored the effects of paleogenome evolution on specialized metabolite synthesis. Our findings provide new insights into the polyploidization and paleogenomic evolution of Oleaceae and have important scientific significance for understanding the genetic basis of species and secondary metabolic diversity in Oleaceae.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".