A Five Gene Phylogenetic Study of Fuireneae (Cyperaceae) with a Revision of <i>Isolepis humillima</i>
Bibliographic record
Abstract
Abstract Cyperaceae tribe Fuireneae consists of six genera (Actinoscirpus, Pseudoschoenus, Fuirena, Bolboschoenus, Schoenoplectus, and Schoenoplectiella) and approximately 155 species distributed widely across all continents except Antarctica. Recent molecular analyses suggest that Fuireneae is paraphyletic with respect to Cypereae, but limited taxonomic sampling and low branch support have resulted in unresolved relationships among key genera. To address the potential paraphyly of Fuireneae as well as intratribal and intertribal relationships, thirty taxa representing major lineages from the six Fuireneae genera within Cypereae were sequenced for five coding and non-coding regions from the nuclear (internal transcribed spacer, ITS) and chloroplast (trnL intron/ trnL-trnF spacer; partial ndhF, rbcL and matK genes) genomes. Maximum parsimony, maximum likelihood and Bayesian analyses of the dataset strongly support Fuireneae as a grade of three clades: (1) Fuirena, (2) Bolboschoenus and (3) a group composed of Cypereae and the four remaining Fuireneae genera (Schoenoplectus, Schoenoplectiella, Actinoscirpus, and Pseudoschoenus). Individual and combined gene trees consistently position Isolepis humillima within a well supported clade consisting of species in Schoenoplectiella sect. Schoenoplectiella. Based on molecular evidence, we transfer Isolepis humillima to Schoenoplectiella humillima, and suggest that a large-scale revision of tribal limits is required to reflect the natural relationships of the genera currently treated in Fuireneae.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".