An evaluation of rbcL, tufA, UPA, LSU and ITS as DNA barcode markers for the marine green macroalgae
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
T he universality and species discriminatory power of the plastid rubisco large subunit (rbcL) (considering 5' and 3' fragments independently), elongation factor tufA ,a nd universal amplicon (UPA), and the nuclear D2/D3 region of the large ribosomal subunit (LSU) and the internal transcribed spacer of the ribosomal cistron (ITS) were evaluated for their utility as DNA barcode markers for green macroalgae. Excepting low success for ITS, all of these markers failed for the Cladophoraceae. For the remaining taxa, the 3' region of the rbc L( rbcL-3P) and tufA had the largest barcode gaps (difference between maximum intra- and minimum inter-specific divergence). Unfortunately, moderate amplification success (80 %e xcluding Cladophoracae) caused, at least in part, by the presence of introns within the rbcL-3P for some taxa reduced the utility of this marker as au niversal barcode system. The tufA marker, on the other hand, had strong amplification success (95% excluding the Cladophoraceae) and no introns were uncovered. We thus recommend that tufA be adopted as the standard marker for the routine barcoding of green marine macroalgae (excluding the Cladophoraceae). During this survey we discovered cryptic species in Acrosiphonia, Monostroma ,a nd Ulva indicating that significant taxonomic work remains for green macroalgae. Chlorophyta /D NA barcoding /g reen algae /I TS /L SU / rbc L/ tufA /U P
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.
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) | 0.004 | 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 it