SYSTEMATICS OF <i>PRASIOLA</i> AND PHYLOGENETIC POSITIONING OF THE PRASIOLALES (CHLOROPHYTA)
Bibliographic record
Abstract
Sherwood, A. R.1 & Sheath, R. G.2 1Present address: Department of Botany, 3190 Maile Way, University of Hawaii, Honolulu, HI 96822 U.S.A. 2Department of Botany and Dean's Office, University of Guelph, Guelph, ON N1G 2W1 Canada The systematics of the green algal genus Prasiola was investigated through a combination of morphometric and molecular analyses, and the phylogenetic position of the order Prasiolales was re‐examined with molecular tools. Thirty‐six herbarium sheets of Prasiola as well as 39 field collections and 12 type specimens were measured for several cellular and thallus characters. Means of each character were used in both cluster (UPGMA algorithm) and principal components analyses (PCA) to examine relationships among collections. Significant differences among means from the resulting groups were tested using one‐way analysis of variance (ANOVA; p<0.05). Both cluster analysis and PCA resolved five groups of specimens, of which four groups were associated with at least one type specimen. Parsimony and distance analyses of the first half of the 18S rRNA gene support the Prasiolales as being a sister clade to the Trebouxiophyceae. Uncorrected sequence divergence values within the Prasiolales range from 0‐1.7%, and within Prasiola range from 0‐1.4%. Analyses of the rbcL gene were not well resolved at the ordinal level, but revealed some interesting trends within and among the genera, such as sequence identity among several morphologically distinct marine species of Prasiola, and large sequence divergence values between marine and freshwater Prasiola. Inclusion of representatives of the other members of the Prasiolales (Rosenvingiella, Prasiococcus and Prasiolopsis) confirmed that the Prasiolales is a monophyletic group.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".