Cryptic diversity in a cosmopolitan diatom known as <i>Asterionellopsis glacialis</i> (Fragilariaceae): Implications for ecology, biogeography, and taxonomy
Bibliographic record
Abstract
PREMISE OF THE STUDY: Diatoms have long been known as the most species-rich of algal groups, with a wide range of estimates for species number (20-200 k) due to differing species concepts. The fine valve structure in Asterionellopsis glacialis, a diatom believed cosmopolitan and eurytopic, has never been systematically examined using modern microscopy and is an excellent candidate to genetically test morphology-based conspecificity among its geographically distant culture isolates. METHODS: Isolates from the Atlantic and Pacific Oceans that were morphologically delineated as A. glacialis were genetically characterized using three nuclear DNA regions (two 18S rDNA fragments and ITS region) and one plastidal (rbcL) and one mitochondrial gene (cox1) and related to SEM-based morphometrics. KEY RESULTS: Five genetically distinct groupings were found, four of which are new to science. ITS2 RNA transcript secondary structure was species specific as were plastidal and mitochondrial genes, while the 18S gene fragments did not diverge sufficiently to segregate new species efficiently. We genetically circumscribed the A. glacialis epitype. CONCLUSIONS: The morphological diversification of the species examined in this study lags behind their genetic divergence. The currently accepted 2% cutoff level of operational taxonomic unit (OTU) clustering in 18S rDNA environmental sequencing is too high to recognize genetic diversity in Asterionellopsis and very likely in many other species. Our results support the notion that a considerable number of species and diversity remain to be discovered among diatoms and that species number may be more in line with higher estimates. Molecular signatures of the species discovered here will aid in their globally consistent identification and ultimate understanding of their ecology.
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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 | 0.000 | 0.001 |
| 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".