From Ancestors to Modern Cultivars: Tracing the Origin, Evolution, and Genetic Progress in Cucurbitaceae
Bibliographic record
Abstract
The Cucurbitaceae family, encompassing a wide array of economically significant species, has undergone extensive evolutionary diversification since its origin in the Late Cretaceous period. This systematic review synthesizes the current understanding of the genetic and evolutionary trajectories within the Cucurbitaceae, tracing the lineage from ancestral forms to modern cultivars. We integrate findings from whole-genome analyses, phylogenetic studies, and gene family evolution research to construct a comprehensive picture of the genetic progress in this family. The review highlights the whole-genome duplication event in the Cucurbita genus approximately 30 million years ago, which has led to a rapid turnover and neofunctionalization of protein-coding and long noncoding RNA genes, particularly in Cucurbita argyrosperma . Additionally, the evolution of Benincasa hispida is examined, revealing its unique phylogenetic position and significant gene loss from its common ancestor, alongside the conservation of the phenylalanine ammonia-lyase gene family across six Cucurbitaceae species. The phylogenetic relationships within the family are clarified, with an emphasis on the major clades and their geographical distributions, as well as the need for further ecological and morphological studies. This review provides valuable insights into the genetic mechanisms underlying the diversity and adaptation of Cucurbitaceae species, offering a foundation for future research and breeding programs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".