A DNA barcode survey of the red algal genus <i>Mazzaella</i> in British Columbia reveals overlooked diversity and new distributional records: descriptions of <b><i>M. dewreedei</i></b> sp. nov. and <b><i>M. macrocarpa</i></b> sp. nov.
Bibliographic record
Abstract
Species of the red algal genus Mazzaella are widely distributed along the west coast of North America with 11 reported in British Columbia (BC). Like many red algal genera, however, accurate species identification is complicated by phenotypic plasticity and convergent evolution, and considerable taxonomic changes have taken place in recent years. To better understand the diversity of this genus in the BC flora, we variously compared COI-5P, rbcL, and ITS data for 407 collections predominantly from BC (n = 347) and California (n = 59) with other accessions in GenBank. We report the first records of Mazzaella phyllocarpa (Postels & Ruprecht) Perestenko in the BC flora whereas Mazzaella linearis (Setchell & N.L. Gardner) Fredericq is excluded — individuals previously assigned to this name referred to Mazzaella dewreedei sp. nov. Verified records and the distributional range for the poorly documented Mazzaella minima (G.J. Hollenberg) P.W. Gabrielson are greatly extended whereas northern records of Mazzaella rosea (Kylin) Fredericq are established. The presence of Mazzaella flaccida (Setchell & N.L. Gardner) Fredericq and Mazzaella japonica (Mikami) Hommersand (likely introduced) in BC are confirmed whereas resolution of the Mazzaella oregona (Doty) J.R. Hughey, P.C. Silva & Hommersand species complex necessitates description of Mazzaella macrocarpa sp. nov. Two additional cryptic complexes involving M. flaccida and M. oregona were discovered in the Californian flora, but are outside the scope of this study and are in need of further investigation.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".