Integrative Insights into the Systematic Classification and Phylogenesis of Cucurbitaceae: A Comprehensive Review of Genetic and Genomic Advances
Bibliographic record
Abstract
The Cucurbitaceae family, with approximately 800 species across 130 genera, is of significant economic and botanical interest. Recent systematic reviews and phylogenetic analyses have provided new insights into the classification and evolutionary relationships within this diverse group. This systematic review synthesizes findings from multiple molecular studies, including chloroplast DNA sequences, nuclear ribosomal RNA genes, and various DNA regions from three plant genomes, to present an integrative perspective on the phylogeny of Cucurbitaceae. The traditional subfamilies and tribes have been re-evaluated, revealing weak support for the traditional subfamilies Cucurbitoideae and Nhandiroboideae, and the need for a reclassification of several genera due to polyphyly or paraphyly. Morphological characters such as flower and seed traits have been correlated with molecular data, providing a more comprehensive understanding of character evolution. Additionally, the review highlights the importance of molecular tools for species identification, particularly in genera with complex morphological variation. The proposed new classification system includes significant changes, with the establishment of new tribes and the re-circumscription of genera, reflecting a more natural phylogenetic order. This review underscores the dynamic nature of Cucurbitaceae systematics and the ongoing need for integrative approaches to understand the evolutionary history of this family.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".