Comparative Genomics: Insights into the Evolutionary History of <i>Eucommia ulmoides</i>
Bibliographic record
Abstract
Eucommia ulmoides , commonly known as the hardy rubber tree, is a unique and economically significant tree species with applications in rubber production as well as traditional medicine. This review delves into the evolutionary history of E. ulmoides through comparative genomics, highlighting key findings from recent genomic studies. High-quality genome assemblies have revealed significant insights into the genetic architecture and evolutionary mechanisms of this tree. Notably, the genome of E. ulmoides has undergone a whole-genome duplication event, contributing to its complex genomic structure and the expansion of gene families involved in rubber biosynthesis and stress responses. Comparative analyses of chloroplast genomes have identified heterogeneous sequence divergence and mutation hotspots, providing valuable information for conservation genetics. Transcriptome studies have uncovered sex-biased gene expression and potential sex-determination genes, shedding light on the genetic basis of sexual dimorphism in this dioecious species. Additionally, high-density genetic maps and QTL analysis have facilitated the identification of growth-related traits, paving the way for genetic improvement and breeding programs. This review presents a comprehensive understanding of the evolutionary history and genomic innovations of E. ulmoides , offering new perspectives for its conservation and utilization.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".