Inferences on the origins of polyploid<i>Turnera</i>species (Passifloraceae) based on molecular data
Bibliographic record
Abstract
We explore the evolution of polyploids in subseries Turnera, testing hypotheses on their origins using DNA sequences (partial ndhF and trnT-L) from the plastid genome, as well as sequences of the nuclear ribosomal internal transcribed spacer (ITS). We construct phylogenies (with both Bayesian and maximum parsimony methods) using both the plastid and ITS sequences. We test hypotheses concerning the genome contributors to polyploids where previous cytogenetic studies had designated various diploid species as possessing A or C genomes and had proposed various genomic constitutions for the polyploids. Our analyses support the occurrence of a C genome clade of species and the origin of autooctoploid T. fernandezii Arbo from T. grandiflora (Urb.) Arbo (a C genome diploid). Nuclear ITS data support the hypothesis that T. concinna Arbo (an A genome species) contributed a genome to the segmental allotetraploid T. grandidentata (Urb.) Arbo, whereas analyses of ndhF and trnT-L sequences did not lead to identification of the plastid (or additional nuclear genome) donor. Our analyses support the origins of allooctoploids T. aurelii Arbo and T. cuneiformis Poir. from hexaploid T. orientalis (Urb.) Arbo. We found no evidence that hexaploid T. velutina Presl. possesses a C genome. We provide evidence, using Bayes factors, supporting the hypothesis that the segmental allohexaploids have had independent origins.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".