Rapid amplification of four retrotransposon families promoted speciation and genome size expansion in the genus Panax
Bibliographic record
Abstract
Genome duplication and repeat multiplication contribute to genome evolution in plants. Our previous work identified a recent allotetraploidization event and five high-copy LTR retrotransposon (LTR-RT) families PgDel, PgTat, PgAthila, PgTork, and PgOryco in Panax ginseng. Here, using whole-genome sequences, we quantified major repeats in five Panax species and investigated their role in genome evolution. The diploids P. japonicus, P. vietnamensis, and P. notoginseng and the tetraploids P. ginseng and P. quinquefolius were analyzed alongside their relative Aralia elata. These species possess 0.8-4.9 Gb haploid genomes. The PgDel, PgTat, PgAthila, and PgTork LTR-RT superfamilies accounted for 39-52% of the Panax species genomes and 17% of the A. elata genome. PgDel included six subfamily members, each with a distinct genome distribution. In particular, the PgDel1 subfamily occupied 23-35% of the Panax genomes and accounted for much of their genome size variation. PgDel1 occupied 22.6% (0.8 Gb of 3.6 Gb) and 34.5% (1.7 Gb of 4.9 Gb) of the P. ginseng and P. quinquefolius genomes, respectively. Our findings indicate that the P. quinquefolius genome may have expanded due to rapid PgDel1 amplification over the last million years as a result of environmental adaptation following migration from Asia to North America.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".